Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2141-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-2141-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A prototype framework for models of socio-hydrology: identification of key feedback loops and parameterisation approach
Y. Elshafei
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
M. Sivapalan
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, N. Mathews Avenue, Urbana, IL 61801, USA
Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Computing Applications Building, Springfield Avenue, Urbana, IL 61801, USA
M. Tonts
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
M. R. Hipsey
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
Related authors
No articles found.
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-178, https://doi.org/10.5194/hess-2023-178, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
This study explores the regional streamflow variability in Peninsular India – which is governed by monsoons, mountainous systems and geologic gradients. A linkage between these influencers and streamflow variability is established.
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-286, https://doi.org/10.5194/hess-2022-286, 2023
Preprint withdrawn
Short summary
Short summary
This study explores the regional streamflow variability in Peninsular India – which is governed by monsoons, mountainous systems and geologic gradients. A linkage between these influencers and streamflow variability is established.
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, Günter Blöschl, Murugesu Sivapalan, and Ahmed Abdelkader
Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
Short summary
Short summary
The study proposes a quantitative model of the willingness to cooperate in the Eastern Nile River basin. Our results suggest that the 2008 food crisis may account for Sudan recovering its willingness to cooperate with Ethiopia. Long-term lack of trust among the riparian countries may have reduced basin-wide cooperation. The model can be used to explore the effects of changes in future dam operations and other management decisions on the emergence of basin cooperation.
Yongping Wei, Jing Wei, Gen Li, Shuanglei Wu, David Yu, Mohammad Ghoreishi, You Lu, Felipe Augusto Arguello Souza, Murugesu Sivapalan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 26, 2131–2146, https://doi.org/10.5194/hess-26-2131-2022, https://doi.org/10.5194/hess-26-2131-2022, 2022
Short summary
Short summary
There is increasing tension among the riparian countries of transboundary rivers. This article proposes a socio-hydrological framework that incorporates the slow and less visible societal processes into existing hydro-economic models, revealing the slow and hidden feedbacks between societal and hydrological processes. This framework will contribute to process-based understanding of the complex mechanism that drives conflict and cooperation in transboundary river management.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
Short summary
Short summary
The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Peisheng Huang, Karl Hennig, Jatin Kala, Julia Andrys, and Matthew R. Hipsey
Hydrol. Earth Syst. Sci., 24, 5673–5697, https://doi.org/10.5194/hess-24-5673-2020, https://doi.org/10.5194/hess-24-5673-2020, 2020
Short summary
Short summary
Our results conclude that the climate change in the past decades has a remarkable effect on the hydrology of a large shallow lagoon with the same magnitude as that caused by the opening of an artificial channel, and it also highlighted the complexity of their interactions. We suggested that the consideration of the projected drying trend is essential in designing management plans associated with planning for environmental water provision and setting water quality loading targets.
Benya Wang, Matthew R. Hipsey, and Carolyn Oldham
Geosci. Model Dev., 13, 4253–4270, https://doi.org/10.5194/gmd-13-4253-2020, https://doi.org/10.5194/gmd-13-4253-2020, 2020
Short summary
Short summary
Surface water nutrients are essential to manage water quality, but it is hard to analyse trends. We developed a hybrid model and compared with other models for the prediction of six different nutrients. Our results showed that the hybrid model had significantly higher accuracy and lower prediction uncertainty for almost all nutrient species. The hybrid model provides a flexible method to combine data of varied resolution and quality and is accurate for the prediction of nutrient concentrations.
J. Nikolaus Callow, Matthew R. Hipsey, and Ryan I. J. Vogwill
Hydrol. Earth Syst. Sci., 24, 717–734, https://doi.org/10.5194/hess-24-717-2020, https://doi.org/10.5194/hess-24-717-2020, 2020
Short summary
Short summary
Secondary dryland salinity is a global land degradation issue. Our understanding of causal processes is adapted from wet and hydrologically connected landscapes and concludes that low end-of-catchment runoff indicates land clearing alters water balance in favour of increased infiltration and rising groundwater that bring salts to the surface causing salinity. This study shows surface flows play an important role in causing valley floor recharge and dryland salinity in low-gradient landscapes.
Matthew R. Hipsey, Louise C. Bruce, Casper Boon, Brendan Busch, Cayelan C. Carey, David P. Hamilton, Paul C. Hanson, Jordan S. Read, Eduardo de Sousa, Michael Weber, and Luke A. Winslow
Geosci. Model Dev., 12, 473–523, https://doi.org/10.5194/gmd-12-473-2019, https://doi.org/10.5194/gmd-12-473-2019, 2019
Short summary
Short summary
The General Lake Model (GLM) has been developed to undertake simulation of a diverse range of wetlands, lakes, and reservoirs. The model supports the science needs of the Global Lake Ecological Observatory Network (GLEON), a network of lake sensors and researchers attempting to understand lake functioning and address questions about how lakes around the world vary in response to climate and land use change. The paper describes the science basis and application of the model.
Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 22, 1665–1693, https://doi.org/10.5194/hess-22-1665-2018, https://doi.org/10.5194/hess-22-1665-2018, 2018
Short summary
Short summary
The paper presents major milestones in the transformation of hydrologic science over the last 50 years from engineering hydrology to Earth system science. This transformation has involved a transition from a focus on time (empirical) to space (Newtonian mechanics), and to time (Darwinian co-evolution). Hydrology is now well positioned to again return to a focus on space or space–time and a move towards regional process hydrology.
Mahendran Roobavannan, Tim H. M. van Emmerik, Yasmina Elshafei, Jaya Kandasamy, Matthew R. Sanderson, Saravanamuthu Vigneswaran, Saket Pande, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 22, 1337–1349, https://doi.org/10.5194/hess-22-1337-2018, https://doi.org/10.5194/hess-22-1337-2018, 2018
Short summary
Short summary
This paper reviews a relevant social science that links cultural factors to environmental decision-making and assesses how to better incorporate its insights to enhance sociohydrological (SH) models and the knowledge gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to facilitate future prediction and allow model transfer to ungauged basins.
Brian J. Dermody, Murugesu Sivapalan, Elke Stehfest, Detlef P. van Vuuren, Martin J. Wassen, Marc F. P. Bierkens, and Stefan C. Dekker
Earth Syst. Dynam., 9, 103–118, https://doi.org/10.5194/esd-9-103-2018, https://doi.org/10.5194/esd-9-103-2018, 2018
Short summary
Short summary
Ensuring sustainable food and water security is an urgent and complex challenge. As the world becomes increasingly globalised and interdependent, food and water management policies may have unintended consequences across regions, sectors and scales. Current decision-making tools do not capture these complexities and thus miss important dynamics. We present a modelling framework to capture regional and sectoral interdependence and cross-scale feedbacks within the global food system.
Guangyao Gao, Jianjun Zhang, Yu Liu, Zheng Ning, Bojie Fu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 21, 4363–4378, https://doi.org/10.5194/hess-21-4363-2017, https://doi.org/10.5194/hess-21-4363-2017, 2017
Short summary
Short summary
This study extracted spatio-temporal patterns in the effects of LUCC and precipitation variability on sediment yield across the Loess Plateau during 1961–2011. The impacts of precipitation on sediment yield declined with time and the precipitation-sediment relationship showed a coherent spatial pattern. The sediment coefficient, representing the effect of LUCC, decreases linearly with fraction of area treated with erosion control measures and the slopes were highly variable among the catchments.
Yoshihide Wada, Marc F. P. Bierkens, Ad de Roo, Paul A. Dirmeyer, James S. Famiglietti, Naota Hanasaki, Megan Konar, Junguo Liu, Hannes Müller Schmied, Taikan Oki, Yadu Pokhrel, Murugesu Sivapalan, Tara J. Troy, Albert I. J. M. van Dijk, Tim van Emmerik, Marjolein H. J. Van Huijgevoort, Henny A. J. Van Lanen, Charles J. Vörösmarty, Niko Wanders, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 4169–4193, https://doi.org/10.5194/hess-21-4169-2017, https://doi.org/10.5194/hess-21-4169-2017, 2017
Short summary
Short summary
Rapidly increasing population and human activities have altered terrestrial water fluxes on an unprecedented scale. Awareness of potential water scarcity led to first global water resource assessments; however, few hydrological models considered the interaction between terrestrial water fluxes and human activities. Our contribution highlights the importance of human activities transforming the Earth's water cycle, and how hydrological models can include such influences in an integrated manner.
Amar V. V. Nanda, Leah Beesley, Luca Locatelli, Berry Gersonius, Matthew R. Hipsey, and Anas Ghadouani
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-307, https://doi.org/10.5194/hess-2017-307, 2017
Revised manuscript not accepted
Short summary
Short summary
When anthropological effects result in changes to wetland hydrology; this often leads to a decline in their ecological integrity. We present a policy oriented approach that assesses the suitability of management when rigorous ecological data are lacking. We link ecological objectives from management authorities to threshold values for water depth defined in policy. Results show insufficient water levels for key ecological objectives and we conclude that current policy is ineffective.
A. M. Carmona, G. Poveda, M. Sivapalan, S. M. Vallejo-Bernal, and E. Bustamante
Hydrol. Earth Syst. Sci., 20, 589–603, https://doi.org/10.5194/hess-20-589-2016, https://doi.org/10.5194/hess-20-589-2016, 2016
Short summary
Short summary
We study a 3-D generalization of Budyko's framework that captures the interdependence among actual and potential evapotranspiration and precipitation. We demonstrate that Budyko-type equations present an inconsistency in humid environments, which we overcome by proposing a physically consistent power law that incorporates the complementary relationship of evapotranspiration into the Budyko curve. Evidence of space-time symmetry and signs of co-evolution of catchments are also found in Amazonia.
D. Liu, F. Tian, M. Lin, and M. Sivapalan
Hydrol. Earth Syst. Sci., 19, 1035–1054, https://doi.org/10.5194/hess-19-1035-2015, https://doi.org/10.5194/hess-19-1035-2015, 2015
Short summary
Short summary
A simplified conceptual socio-hydrological model based on logistic growth curves is developed for the Tarim River basin in western China and is used to illustrate the explanatory power of a co-evolutionary model. The socio-hydrological system is composed of four sub-systems, i.e., the hydrological, ecological, economic, and social sub-systems. The hydrological equation focusing on water balance is coupled to the evolutionary equations of the other three sub-systems.
T. H. M. van Emmerik, Z. Li, M. Sivapalan, S. Pande, J. Kandasamy, H. H. G. Savenije, A. Chanan, and S. Vigneswaran
Hydrol. Earth Syst. Sci., 18, 4239–4259, https://doi.org/10.5194/hess-18-4239-2014, https://doi.org/10.5194/hess-18-4239-2014, 2014
Z. Zhang, H. Hu, F. Tian, X. Yao, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3951–3967, https://doi.org/10.5194/hess-18-3951-2014, https://doi.org/10.5194/hess-18-3951-2014, 2014
S. Pande, M. Ertsen, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3239–3258, https://doi.org/10.5194/hess-18-3239-2014, https://doi.org/10.5194/hess-18-3239-2014, 2014
E. J. Coopersmith, B. S. Minsker, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3095–3107, https://doi.org/10.5194/hess-18-3095-2014, https://doi.org/10.5194/hess-18-3095-2014, 2014
Y. Li, G. Gal, V. Makler-Pick, A. M. Waite, L. C. Bruce, and M. R. Hipsey
Biogeosciences, 11, 2939–2960, https://doi.org/10.5194/bg-11-2939-2014, https://doi.org/10.5194/bg-11-2939-2014, 2014
L. C. Bruce, P. L. M. Cook, I. Teakle, and M. R. Hipsey
Hydrol. Earth Syst. Sci., 18, 1397–1411, https://doi.org/10.5194/hess-18-1397-2014, https://doi.org/10.5194/hess-18-1397-2014, 2014
Y. Liu, F. Tian, H. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, https://doi.org/10.5194/hess-18-1289-2014, 2014
J. Kandasamy, D. Sounthararajah, P. Sivabalan, A. Chanan, S. Vigneswaran, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1027–1041, https://doi.org/10.5194/hess-18-1027-2014, https://doi.org/10.5194/hess-18-1027-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
K. A. Sawicz, C. Kelleher, T. Wagener, P. Troch, M. Sivapalan, and G. Carrillo
Hydrol. Earth Syst. Sci., 18, 273–285, https://doi.org/10.5194/hess-18-273-2014, https://doi.org/10.5194/hess-18-273-2014, 2014
S. E. Thompson, M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 5013–5039, https://doi.org/10.5194/hess-17-5013-2013, https://doi.org/10.5194/hess-17-5013-2013, 2013
M. A. Yaeger, M. Sivapalan, G. F. McIsaac, and X. Cai
Hydrol. Earth Syst. Sci., 17, 4607–4623, https://doi.org/10.5194/hess-17-4607-2013, https://doi.org/10.5194/hess-17-4607-2013, 2013
A. L. Ruibal-Conti, R. Summers, D. Weaver, and M. R. Hipsey
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-11035-2013, https://doi.org/10.5194/hessd-10-11035-2013, 2013
Revised manuscript not accepted
J. L. Salinas, G. Laaha, M. Rogger, J. Parajka, A. Viglione, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 2637–2652, https://doi.org/10.5194/hess-17-2637-2013, https://doi.org/10.5194/hess-17-2637-2013, 2013
A. Viglione, J. Parajka, M. Rogger, J. L. Salinas, G. Laaha, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 2263–2279, https://doi.org/10.5194/hess-17-2263-2013, https://doi.org/10.5194/hess-17-2263-2013, 2013
P. A. Troch, G. Carrillo, M. Sivapalan, T. Wagener, and K. Sawicz
Hydrol. Earth Syst. Sci., 17, 2209–2217, https://doi.org/10.5194/hess-17-2209-2013, https://doi.org/10.5194/hess-17-2209-2013, 2013
J. Parajka, A. Viglione, M. Rogger, J. L. Salinas, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 1783–1795, https://doi.org/10.5194/hess-17-1783-2013, https://doi.org/10.5194/hess-17-1783-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations
Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes
Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling
Modelling flood frequency and magnitude in a glacially conditioned, heterogeneous landscape: testing the importance of land cover and land use
Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Towards Interpretable LSTM-based Modelling of Hydrological Systems
Modelling the regional sensitivity of snowmelt, soil moisture, and streamflow generation to climate over the Canadian Prairies using a basin classification approach
To what extent does river routing matter in hydrological modeling?
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
airGRteaching: an open-source tool for teaching hydrological modeling with R
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Changes in Mediterranean flood processes and seasonality
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Technical Note: Testing the Connection Between Hillslope Scale Runoff Fluctuations and Streamflow Hydrographs at the Outlet of Large River Basins
A Network Approach for Multiscale Catchment Classification using Traits
What controls the tail behaviour of flood series: Rainfall or runoff generation?
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
Can the combining of wetlands with reservoir operation reduce the risk of future floods and droughts?
Advancing Understanding of Lake-Watershed Hydrology Through A Fully Coupled Numerical Model
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment
Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations
Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments
Deep learning for monthly rainfall-runoff modelling: a comparison with classical rainfall-runoff modelling across Australia
Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups
Reconstructing five decades of sediment export from two glacierized high-alpine catchments in Tyrol, Austria, using nonparametric regression
Water and energy budgets over hydrological basins on short and long timescales
Multi-model approach in a variable spatial framework for streamflow simulation
Hydrological response to climate change and human activities in the Three-River Source Region
Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction
Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data
River hydraulic modeling with ICESat-2 land and water surface elevation
Hydrological modeling using the Soil and Water Assessment Tool in urban and peri-urban environments: the case of Kifisos experimental subbasin (Athens, Greece)
Empirical stream thermal sensitivities cluster on the landscape according to geology and climate
Monetizing the role of water in sustaining watershed ecosystem services using a fully integrated subsurface–surface water model
Technical note: How physically based is hydrograph separation by recursive digital filtering?
A comprehensive open-source course for teaching applied hydrological modelling in Central Asia
Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment
Technical note: Extending the SWAT model to transport chemicals through tile and groundwater flow
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024, https://doi.org/10.5194/hess-28-691-2024, 2024
Short summary
Short summary
In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024, https://doi.org/10.5194/hess-28-669-2024, 2024
Short summary
Short summary
This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024, https://doi.org/10.5194/hess-28-545-2024, 2024
Short summary
Short summary
Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record and improving that accuracy of official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Sungwook Wi and Scott Steinschneider
Hydrol. Earth Syst. Sci., 28, 479–503, https://doi.org/10.5194/hess-28-479-2024, https://doi.org/10.5194/hess-28-479-2024, 2024
Short summary
Short summary
We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing three DL and three process-based hydrological models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of DL hydrological projections under climate change.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
Short summary
Short summary
Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
Short summary
Short summary
How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao
Hydrol. Earth Syst. Sci., 28, 21–48, https://doi.org/10.5194/hess-28-21-2024, https://doi.org/10.5194/hess-28-21-2024, 2024
Short summary
Short summary
Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.
2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.
3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.
4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023, https://doi.org/10.5194/hess-27-4485-2023, 2023
Short summary
Short summary
We analyzed the water budget of nested karst catchments using simple methods and modeling. By utilizing the available data on precipitation and discharge, we were able to determine the response lag-time by adopting new techniques. Additionally, we modeled snow cover dynamics and evapotranspiration with the use of Earth observations, providing a concise overview of the water budget for the basin and its subbasins. We have made the data, models, and workflows accessible for further study.
Yuhang Zhang, Aizhong Ye, Bita Analui, Phu Nguyen, Soroosh Sorooshian, Kuolin Hsu, and Yuxuan Wang
Hydrol. Earth Syst. Sci., 27, 4529–4550, https://doi.org/10.5194/hess-27-4529-2023, https://doi.org/10.5194/hess-27-4529-2023, 2023
Short summary
Short summary
Our study shows that while the quantile regression forest (QRF) and countable mixtures of asymmetric Laplacians long short-term memory (CMAL-LSTM) models demonstrate similar proficiency in multipoint probabilistic predictions, QRF excels in smaller watersheds and CMAL-LSTM in larger ones. CMAL-LSTM performs better in single-point deterministic predictions, whereas QRF model is more efficient overall.
Léo C. P. Martin, Sebastian Westermann, Michele Magni, Fanny Brun, Joel Fiddes, Yanbin Lei, Philip Kraaijenbrink, Tamara Mathys, Moritz Langer, Simon Allen, and Walter W. Immerzeel
Hydrol. Earth Syst. Sci., 27, 4409–4436, https://doi.org/10.5194/hess-27-4409-2023, https://doi.org/10.5194/hess-27-4409-2023, 2023
Short summary
Short summary
Across the Tibetan Plateau, many large lakes have been changing level during the last decades as a response to climate change. In high-mountain environments, water fluxes from the land to the lakes are linked to the ground temperature of the land and to the energy fluxes between the ground and the atmosphere, which are modified by climate change. With a numerical model, we test how these water and energy fluxes have changed over the last decades and how they influence the lake level variations.
Diego Araya, Pablo A. Mendoza, Eduardo Muñoz-Castro, and James McPhee
Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023, https://doi.org/10.5194/hess-27-4385-2023, 2023
Short summary
Short summary
Dynamical systems are used by many agencies worldwide to produce seasonal streamflow forecasts, which are critical for decision-making. Such systems rely on hydrology models, which contain parameters that are typically estimated using a target performance metric (i.e., objective function). This study explores the effects of this decision across mountainous basins in Chile, illustrating tradeoffs between seasonal forecast quality and the models' capability to simulate streamflow characteristics.
Pamela E. Tetford and Joseph R. Desloges
Hydrol. Earth Syst. Sci., 27, 3977–3998, https://doi.org/10.5194/hess-27-3977-2023, https://doi.org/10.5194/hess-27-3977-2023, 2023
Short summary
Short summary
An efficient regional flood frequency model relates drainage area to discharge, with a major assumption of similar basin conditions. In a landscape with variable glacial deposits and land use, we characterize varying hydrological function using 28 explanatory variables. We demonstrate that (1) a heterogeneous landscape requires objective model selection criteria to optimize the fit of flow data, and (2) incorporating land use as a predictor variable improves the drainage area to discharge model.
Ana Ramos Oliveira, Tiago Brito Ramos, Lígia Pinto, and Ramiro Neves
Hydrol. Earth Syst. Sci., 27, 3875–3893, https://doi.org/10.5194/hess-27-3875-2023, https://doi.org/10.5194/hess-27-3875-2023, 2023
Short summary
Short summary
This paper intends to demonstrate the adequacy of a hybrid solution to overcome the difficulties related to the incorporation of human behavior when modeling hydrological processes. Two models were implemented, one to estimate the outflow of a reservoir and the other to simulate the hydrological processes of the watershed. With both models feeding each other, results show that the proposed approach significantly improved the streamflow estimation downstream of the reservoir.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-252, https://doi.org/10.5194/hess-2023-252, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
Long Short-Term Memory (LSTM) is a widely used machine learning model in hydrology. However, it is difficult to extract knowledge from it. We propose HydroLSTM which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment.Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Zhihua He, Kevin Shook, Christopher Spence, John W. Pomeroy, and Colin Whitfield
Hydrol. Earth Syst. Sci., 27, 3525–3546, https://doi.org/10.5194/hess-27-3525-2023, https://doi.org/10.5194/hess-27-3525-2023, 2023
Short summary
Short summary
This study evaluated the impacts of climate change on snowmelt, soil moisture, and streamflow over the Canadian Prairies. The entire prairie region was divided into seven basin types. We found strong variations of hydrological sensitivity to precipitation and temperature changes in different land covers and basins, which suggests that different water management and adaptation methods are needed to address enhanced water stress due to expected climate change in different regions of the prairies.
Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas
Hydrol. Earth Syst. Sci., 27, 3505–3524, https://doi.org/10.5194/hess-27-3505-2023, https://doi.org/10.5194/hess-27-3505-2023, 2023
Short summary
Short summary
This paper shows how important river models can be for water resource applications that involve hydrological models and, in particular, parameter calibration. To this end, we conduct numerical experiments in a pilot basin using a combination of hydrologic model simulations obtained from a large sample of parameter sets and different routing methods. We find that routing can affect streamflow simulations, even at monthly time steps; the choice of parameters; and relevant streamflow metrics.
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023, https://doi.org/10.5194/hess-27-3485-2023, 2023
Short summary
Short summary
The calibration of hydrological models over extensive spatial domains is often challenged by the lack of data on river discharge and the operations of hydraulic infrastructures. Here, we use satellite data to address the lack of data that could unintentionally bias the calibration process. Our study is underpinned by a computational framework that quantifies this bias and provides a safe approach to the calibration of models in poorly gauged and heavily regulated basins.
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349, https://doi.org/10.5194/hess-27-3329-2023, https://doi.org/10.5194/hess-27-3329-2023, 2023
Short summary
Short summary
A novel methodology for the development of a stormwater network performance simulator including advanced risk assessment was proposed. The applied tool enables the analysis of the influence of spatial variability in catchment and stormwater network characteristics on the relation between (SWMM) model parameters and specific flood volume, as an alternative approach to mechanistic models. The proposed method can be used at the stage of catchment model development and spatial planning management.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
Short summary
Short summary
Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023, https://doi.org/10.5194/hess-27-3083-2023, 2023
Short summary
Short summary
This study shows that previously reported underestimations of water ages are most likely not due to the use of seasonally variable tracers. Rather, these underestimations can be largely attributed to the choices of model approaches which rely on assumptions not frequently met in catchment hydrology. We therefore strongly advocate avoiding the use of this model type in combination with seasonally variable tracers and instead adopting StorAge Selection (SAS)-based or comparable model formulations.
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004, https://doi.org/10.5194/hess-27-2989-2023, https://doi.org/10.5194/hess-27-2989-2023, 2023
Short summary
Short summary
We analyzed the uncertainty of the water transit time distribution (TTD) arising from model input (interpolated tracer data) and structure (StorAge Selection, SAS, functions). We found that uncertainty was mainly associated with temporal interpolation, choice of SAS function, nonspatial interpolation, and low-flow conditions. It is important to characterize the specific uncertainty sources and their combined effects on TTD, as this has relevant implications for both water quantity and quality.
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987, https://doi.org/10.5194/hess-27-2973-2023, https://doi.org/10.5194/hess-27-2973-2023, 2023
Short summary
Short summary
Mediterranean floods are causing major damage, and recent studies have shown that, despite the increase in intense rainfall, there has been no increase in river floods. This study reveals that the seasonality of floods changed in the Mediterranean Basin during 1959–2021. There was also an increased frequency of floods linked to short episodes of intense rain, associated with a decrease in soil moisture. These changes need to be taken into consideration to adapt flood warning systems.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-143, https://doi.org/10.5194/hess-2023-143, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
Calibrating hydrological models with multiple objective functions enhances model robustness. By integrating spatially distributed snow information into the calibration process, the overall performance of the model can be enhanced without compromising the model outputs. In this study, HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (SPAtial Efficiency metric) alongside NSE and RMSE, with the aim of identifying the optimal calibration strategy.
Ricardo Mantilla, Morgan Fonley, and Nicolas Velasquez
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-187, https://doi.org/10.5194/hess-2023-187, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle, however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator that a correct description of the small-scale runoff processes.
Fabio Ciulla and Charuleka Varadharajan
EGUsphere, https://doi.org/10.5194/egusphere-2023-1675, https://doi.org/10.5194/egusphere-2023-1675, 2023
Short summary
Short summary
When studying the behavior of rivers, like their tendency to flood, it is useful to group them using the characteristics of their surrounding areas like geology, climate, land use and human influence. We developed a method that, in addition to this classification, also returns the relevant characteristics of each group and associates them to particular behaviors. In this way we better understand how rivers interact with the environment and can try to improve the predictions of future behaviors.
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-186, https://doi.org/10.5194/hess-2023-186, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
In some rivers, the occurrence of extreme flood events is more likely than in other rivers – they have heavy-tailed distributions. We find that threshold processes in the runoff generation lead to such a relatively high occurrence probability of extremes. Further, we find that beyond a certain return period, i.e. for rare events, rainfall is often the dominant control compared to runoff generation. Our results can help to improve the estimation of the occurrence probability of extreme floods.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
EGUsphere, https://doi.org/10.5194/egusphere-2023-1322, https://doi.org/10.5194/egusphere-2023-1322, 2023
Short summary
Short summary
Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging and observed data on temporary rivers is scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, and Guangxin Zhang
Hydrol. Earth Syst. Sci., 27, 2725–2745, https://doi.org/10.5194/hess-27-2725-2023, https://doi.org/10.5194/hess-27-2725-2023, 2023
Short summary
Short summary
Reservoirs and wetlands are important regulators of watershed hydrology, which should be considered when projecting floods and droughts. We first coupled wetlands and reservoir operations into a semi-spatially-explicit hydrological model and then applied it in a case study involving a large river basin in northeast China. We found that, overall, the risk of future floods and droughts will increase further even under the combined influence of reservoirs and wetlands.
Lele Shu, Xiaodong Li, Yan Chang, Xianhong Meng, Hao Chen, Yuan Qi, Hongwei Wang, Zhaoguo Li, and Shihua Lyu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-166, https://doi.org/10.5194/hess-2023-166, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 27, 2621–2644, https://doi.org/10.5194/hess-27-2621-2023, https://doi.org/10.5194/hess-27-2621-2023, 2023
Short summary
Short summary
We developed a novel deep learning approach to estimate the parameters of a computationally expensive hydrological model on only a few hundred realizations. Our approach leverages the knowledge obtained by data-driven analysis to guide the design of the deep learning model used for parameter estimation. We demonstrate this approach by calibrating a state-of-the-art hydrological model against streamflow and evapotranspiration observations at a snow-dominated watershed in Colorado.
Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 2397–2411, https://doi.org/10.5194/hess-27-2397-2023, https://doi.org/10.5194/hess-27-2397-2023, 2023
Short summary
Short summary
The Kling–Gupta Efficiency (KGE) is a performance criterion extensively used to evaluate hydrological models. We conduct a critical study on the KGE and its variant to examine counterbalancing errors. Results show that, when assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without an associated increase in model relevance. We suggest that one carefully choose performance criteria and use scaling factors.
Dapeng Feng, Hylke Beck, Kathryn Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 27, 2357–2373, https://doi.org/10.5194/hess-27-2357-2023, https://doi.org/10.5194/hess-27-2357-2023, 2023
Short summary
Short summary
Powerful hybrid models (called δ or delta models) embrace the fundamental learning capability of AI and can also explain the physical processes. Here we test their performance when applied to regions not in the training data. δ models rivaled the accuracy of state-of-the-art AI models under the data-dense scenario and even surpassed them for the data-sparse one. They generalize well due to the physical structure included. δ models could be ideal candidates for global hydrologic assessment.
Simon Ricard, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil
Hydrol. Earth Syst. Sci., 27, 2375–2395, https://doi.org/10.5194/hess-27-2375-2023, https://doi.org/10.5194/hess-27-2375-2023, 2023
Short summary
Short summary
A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. Results confirm that the proposed workflow produces equivalent projections of the seasonal mean flows in comparison to a conventional hydroclimatic modelling approach. The proposed approach supports the participation of end-users in interpreting the impact of climate change on water resources.
Nutchanart Sriwongsitanon, Wasana Jandang, James Williams, Thienchart Suwawong, Ekkarin Maekan, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 27, 2149–2171, https://doi.org/10.5194/hess-27-2149-2023, https://doi.org/10.5194/hess-27-2149-2023, 2023
Short summary
Short summary
We developed predictive semi-distributed rainfall–runoff models for nested sub-catchments in the upper Ping basin, which yielded better or similar performance compared to calibrated lumped models. The normalised difference infrared index proves to be an effective proxy for distributed root zone moisture capacity over sub-catchments and is well correlated with the percentage of evergreen forest. In validation, soil moisture simulations appeared to be highly correlated with the soil wetness index.
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-124, https://doi.org/10.5194/hess-2023-124, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
Are machine learning models able to produce reliable rainfall-runoff predictions and add enough benefits that justify the effort to implement these methods? This study covers a large set of Australian catchments (almost 500) comparing deep learning and traditional model results. The deep learning model matched or exceeded conceptual model performance for more than two-thirds of the study catchments, indicating the general viability of these models in a variety of catchments conditions.
Yuchan Chen, Xiuzhi Chen, Meimei Xue, Chuanxun Yang, Wei Zheng, Jun Cao, Wenting Yan, and Wenping Yuan
Hydrol. Earth Syst. Sci., 27, 1929–1943, https://doi.org/10.5194/hess-27-1929-2023, https://doi.org/10.5194/hess-27-1929-2023, 2023
Short summary
Short summary
This study addresses the quantification and estimation of the watershed-characteristic-related parameter (Pw) in the Budyko framework with the principle of hydrologically similar groups. The results show that Pw is closely related to soil moisture and fractional vegetation cover, and the relationship varies across specific hydrologic similarity groups. The overall satisfactory performance of the Pw estimation model improves the applicability of the Budyko framework for global runoff estimation.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
Short summary
Short summary
We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
Samantha Petch, Bo Dong, Tristan Quaife, Robert P. King, and Keith Haines
Hydrol. Earth Syst. Sci., 27, 1723–1744, https://doi.org/10.5194/hess-27-1723-2023, https://doi.org/10.5194/hess-27-1723-2023, 2023
Short summary
Short summary
Gravitational measurements of water storage from GRACE (Gravity Recovery and Climate Experiment) can improve understanding of the water budget. We produce flux estimates over large river catchments based on observations that close the monthly water budget and ensure consistency with GRACE on short and long timescales. We use energy data to provide additional constraints and balance the long-term energy budget. These flux estimates are important for evaluating climate models.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
EGUsphere, https://doi.org/10.5194/egusphere-2023-569, https://doi.org/10.5194/egusphere-2023-569, 2023
Short summary
Short summary
Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling frameworks tested.
Ting Su, Chiyuan Miao, Qingyun Duan, Jiaojiao Gou, Xiaoying Guo, and Xi Zhao
Hydrol. Earth Syst. Sci., 27, 1477–1492, https://doi.org/10.5194/hess-27-1477-2023, https://doi.org/10.5194/hess-27-1477-2023, 2023
Short summary
Short summary
The Three-River Source Region (TRSR) plays an extremely important role in water resources security and ecological and environmental protection in China and even all of Southeast Asia. This study used the variable infiltration capacity (VIC) land surface hydrologic model linked with the degree-day factor algorithm to simulate the runoff change in the TRSR. These results will help to guide current and future regulation and management of water resources in the TRSR.
Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp
Hydrol. Earth Syst. Sci., 27, 1325–1341, https://doi.org/10.5194/hess-27-1325-2023, https://doi.org/10.5194/hess-27-1325-2023, 2023
Short summary
Short summary
We advance our understanding of including information derived from environmental tracers into hydrological modeling. We present a simple approach that integrates streamflow observations and tracer-derived streamflow contributions for model parameter estimation. We consider multiple observed streamflow components and their variation over time to quantify the impact of their inclusion for streamflow prediction at the catchment scale.
Dharmaveer Singh, Manu Vardhan, Rakesh Sahu, Debrupa Chatterjee, Pankaj Chauhan, and Shiyin Liu
Hydrol. Earth Syst. Sci., 27, 1047–1075, https://doi.org/10.5194/hess-27-1047-2023, https://doi.org/10.5194/hess-27-1047-2023, 2023
Short summary
Short summary
This study examines, for the first time, the potential of various machine learning models in streamflow prediction over the Sutlej River basin (rainfall-dominated zone) in western Himalaya during the period 2041–2070 (2050s) and 2071–2100 (2080s) and its relationship to climate variability. The mean ensemble of the model results shows that the mean annual streamflow of the Sutlej River is expected to rise between the 2050s and 2080s by 0.79 to 1.43 % for SSP585 and by 0.87 to 1.10 % for SSP245.
Monica Coppo Frias, Suxia Liu, Xingguo Mo, Karina Nielsen, Heidi Ranndal, Liguang Jiang, Jun Ma, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 27, 1011–1032, https://doi.org/10.5194/hess-27-1011-2023, https://doi.org/10.5194/hess-27-1011-2023, 2023
Short summary
Short summary
This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the model, we can make estimations of discharge and water surface elevation, which are important indicators in flooding risk assessment. ICESat-2 data give an added value, thanks to the 0.7 m resolution, which allows the measurement of narrow river streams. In addition, ICESat-2 provides measurements on the river dry portion geometry that can be included in the model.
Evgenia Koltsida, Nikos Mamassis, and Andreas Kallioras
Hydrol. Earth Syst. Sci., 27, 917–931, https://doi.org/10.5194/hess-27-917-2023, https://doi.org/10.5194/hess-27-917-2023, 2023
Short summary
Short summary
Daily and hourly rainfall observations were inputted to a Soil and Water Assessment Tool (SWAT) hydrological model to investigate the impacts of rainfall temporal resolution on a discharge simulation. Results indicated that groundwater flow parameters were more sensitive to daily time intervals, and channel routing parameters were more influential for hourly time intervals. This study suggests that the SWAT model appears to be a reliable tool to predict discharge in a mixed-land-use basin.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-428, https://doi.org/10.5194/hess-2022-428, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
This study used the relationship between river water and air temperature to understand processes causing stream warming and predict how streams might respond to future climate warming. We found that the air-water relationship was diverse across sites and controlled largely by geology and snowmelt. Our findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate insensitive areas of the basin that should be preserved and protected.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-25, https://doi.org/10.5194/hess-2023-25, 2023
Revised manuscript accepted for HESS
Short summary
Short summary
The study determines the value of water towards ecosystem services production in an agricultural watershed in Ontario, Canada. It uses a computer model and an economic valuation approach to determine how subsurface and surface water affect ecosystem services supply. The results show that subsurface water plays a critical role in maintaining ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Klaus Eckhardt
Hydrol. Earth Syst. Sci., 27, 495–499, https://doi.org/10.5194/hess-27-495-2023, https://doi.org/10.5194/hess-27-495-2023, 2023
Short summary
Short summary
An important hydrological issue is to identify components of streamflow that react to precipitation with different degrees of attenuation and delay. From the multitude of methods that have been developed for this so-called hydrograph separation, a specific, frequently used one is singled out here. It is shown to be derived from plausible physical principles. This increases confidence in its results.
Beatrice Sabine Marti, Aidar Zhumabaev, and Tobias Siegfried
Hydrol. Earth Syst. Sci., 27, 319–330, https://doi.org/10.5194/hess-27-319-2023, https://doi.org/10.5194/hess-27-319-2023, 2023
Short summary
Short summary
Numerical modelling is often used for climate impact studies in water resources management. It is, however, not yet highly accessible to many students of hydrology in Central Asia. One big hurdle for new learners is the preparation of relevant data prior to the actual modelling. We present a robust, open-source workflow and comprehensive teaching material that can be used by teachers and by students for self study.
Aniket Gupta, Alix Reverdy, Jean-Martial Cohard, Basile Hector, Marc Descloitres, Jean-Pierre Vandervaere, Catherine Coulaud, Romain Biron, Lucie Liger, Reed Maxwell, Jean-Gabriel Valay, and Didier Voisin
Hydrol. Earth Syst. Sci., 27, 191–212, https://doi.org/10.5194/hess-27-191-2023, https://doi.org/10.5194/hess-27-191-2023, 2023
Short summary
Short summary
Patchy snow cover during spring impacts mountainous ecosystems on a large range of spatio-temporal scales. A hydrological model simulated such snow patchiness at 10 m resolution. Slope and orientation controls precipitation, radiation, and wind generate differences in snowmelt, subsurface storage, streamflow, and evapotranspiration. The snow patchiness increases the duration of the snowmelt to stream and subsurface storage, which sustains the plants and streamflow later in the summer.
Hendrik Rathjens, Jens Kiesel, Michael Winchell, Jeffrey Arnold, and Robin Sur
Hydrol. Earth Syst. Sci., 27, 159–167, https://doi.org/10.5194/hess-27-159-2023, https://doi.org/10.5194/hess-27-159-2023, 2023
Short summary
Short summary
The SWAT model can simulate the transport of water-soluble chemicals through the landscape but neglects the transport through groundwater or agricultural tile drains. These transport pathways are, however, important to assess the amount of chemicals in streams. We added this capability to the model, which significantly improved the simulation. The representation of all transport pathways in the model enables watershed managers to develop robust strategies for reducing chemicals in streams.
Cited articles
Adger, W. N.: Social and ecological resilience: are they related?, Prog. Hum. Geog., 24, 347–364, 2000.
Ajzen, I.: From intentions to actions: A theory of planned behavior, in: Action control: from cognition to behaviour, edited by: Kuhl, J. and Backmann, J., Springer, Berlin, 11–39, 1985.
Allan, J. A.: Policy responses to the closure of water resources: Regional and global issues, in: Water policy: Allocation and management in practice, edited by: Howsam, P. and Carter, R. C., CRC Press, London, UK, 228–234, 1996.
Allison, H. E. and Hobbs, R. J.: Resilience, adaptive capacity, and the "lock-in trap" of the Western Australian agricultural region, Ecol. Soc., 9, 3–28, 2004.
Amundsen, H.: Illusions of Resilience? An Analysis of Community Responses to Change in Northern Norway, Ecol. Soc., 17, 46–59, 2012.
Anderies, J. M. and Janssen, M. A.: The fragility of robust social-ecological systems, Global Environ. Chang., 21, 1153–1156, 2011.
Anderies, J. M., Janssen, M. A., and Ostrom, E.: A Framework to Analyze the Robustness of Social-ecological Systems from an Institutional Perspective, Ecol. Soc., 9, 18–34, 2004.
Anderies, J. M., Ryan, P., and Walker, B. H.: Loss of resilience, crisis, and institutional change: Lessons from an intensive agricultural system in southeastern Australia, Ecosystems, 9, 865–878, 2006a.
Anderies, J. M., Walker, B. H., and Kinzig, A. P.: Fifteen weddings and a funeral: Case studies and resilience-based management, Ecol. Soc., 11, 21–32, 2006b.
Anderies, J. M., Janssen, M. A., Lee, A., and Wasserman, H.: Environmental variability and collective action: Experimental insights from an irrigation game, Ecol. Econ., 93, 166–176, 2013.
Annin, P.: The Great Lakes water wars, Island Press, Washington DC, 2006.
Armitage, C. and Christian, J.: From attitudes to behaviour: Basic and applied research on the theory of planned behaviour, Curr. Psychol., 22, 187–195, 2003.
Arthington, A. H. and Pusey, B. J.: Flow restoration and protection in Australian rivers, River Res. Appl., 19, 377–395, 2003.
Baldassare, M. and Katz, C.: The personal threat of environmental problems as predictor of environmental practices, Environ. Behav., 24, 602–616, 1992.
Barbier, E. B.: Explaining agricultural land expansion and deforestation in developing countries, Am. J. Agr. Econ., 86, 1347–1353, 2004.
Barlow, M.: Blue covenant: The global water crisis and the coming battle for the right to water, McClelland and Stewart, Toronto, Canada, 2007.
Bengston, D. N.: Changing Forest Values and Ecosystem Management, Soc. Natur. Resour., 7, 515–533, 2008.
Berkes, F. and Folke, C.: Linking social and ecological systems: Management practices and social mechanisms for building resilience, Cambridge University Press, Cambridge, 1998.
Berkes, F. and Jolly, D.: Adapting to climate change: social-ecological resilience in a Canadian western Arctic community, Conserv. Ecol., 5, 18–32, 2002.
Berkes, F., Colding, J., and Folke, C.: Navigating social-ecological systems: building resilience for complexity and change, Cambridge University Press, Cambridge, 2003.
Bezemer, D. and Headey, D.: Agriculture, development, and urban bias, World Dev., 36, 1342–1364, 2008.
Biswas, A. K.: History of hydrology, North-Holland Publishing Company, Amsterdam, London, 1970.
Biswas, A. K.: Water development and the environment, Int. J. Water Resour. D., 13, 141–168, 1997.
Biswas, A. K.: Water crisis: Current perceptions and future realities, Water Int., 24, 363–367, 1999.
Biswas, A. K.: Dams: cornucopia or disaster?, Int. J. Water Resour. D., 20, 3–14, 2004.
Biswas, A. K. and Tortajada, C.: Development and large dams: A global perspective, Int. J. Water Resour. D., 17, 9–21, 2001.
Biswas, A. K. and Tortajada, C.: Water quality management: An introductory framework, Int. J. Water Resour. D., 27, 5–11, 2011.
Briguglio, L., Cordina, G., Farrugia, N., and Vella, S.: Economic vulnerability and resilience: Concepts and measurements, Oxford Dev. Stud., 37, 229–247, 2009.
Broderick, K.: Getting a handle on social-ecological systems in catchments: the nature and importance of environmental perception, Aust. Geogr., 38, 297–308, 2007.
Buikstra, E., Ross, H., King, C. A., Baker, P. G., Hegney, D., McLachlan, K., and Rogers-Clark, C.: The components of resilience–Perceptions of an Australian rural community, J. Community Psychol., 38, 975–991, 2010.
Bunch, M. J., Morrison, K. E., Parkes, M. W., and Venema, H. D.: Promoting Health and Well-Being by Managing for Social-Ecological Resilience: the potential of integrating ecohealth and water resources management Approaches, Ecol. Soc., 16, 6–23, 2011.
Bunn, S. E. and Arthington, A. H.: Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity, Environ. Manage., 30, 492–507, 2002.
Byerlee, D., Diao, X., and Jackson, C.: Agriculture, rural development, and pro-poor growth country experiences in the post-reform era, Agriculture and Rural Development Discussion Paper 21, The World Bank, Washington DC, 2005.
Carpenter, S. R., Stanley, E. H., and Vander Zanden, M. J.: State of the world's freshwater ecosystems: Physical, chemical, and biological changes, Annu. Rev. Env. Resour., 36, 75–99, 2011.
Carey, M., Baraer, M., Mark, B. G., French, A., Bury, J., Young, K. R., and McKenzie, J. M.: Toward hydro-social modeling: Merging human variables and the social sciences with climate-glacier runoff models (Santa River, Peru), J. Hydrol., https://doi.org/10.1016/j.jhydrol.2013.11.006, in press, 2014.
Chaskin, R.: Resilience, Community, and Resilient Communities: Conditioning Contexts and Collective Action, Child Care in Practice, 14, 65–74, 2008.
Conacher, A.: Dryland agriculture and secondary salinity, in: Man and the Australian Environment, McGraw-Hill, Sydney, 113–125, 1986.
Cosgrove, W. and Rijsberman, F.: World water vision: Making water everybody's business, World Water Council, Earthscan, London, UK, 2000.
Cullen, P. and Lake, P.: Water resources and biodiversity: past, present and future problems and solutions, in: Conserving Biodiversity: Threats and Solutions, edited by: Bradstock, R. A., Auld, T. D., Keith, D. A., Kingsford, R. T., Lumey, D., and Siversten, D. P., Surrey Beatty & Sons, Sydney, 115–125, 1995.
Cumming, G., Barnes, G., Perz, S., Schmink, M., Sieving, K., Southworth, J., Binford, M., Holt, R., Stickler, C., and Holt, T.: An Exploratory Framework for the Empirical Measurement of Resilience, Ecosystems, 8, 975–987, 2005.
Daily, G. C.: Nature's services: societal dependence on natural ecosystems, Island Press, Washington DC, 1997.
Dale, A., Ling, C., and Newman, L.: Community Vitality: The Role of Community-Level Resilience Adaptation and Innovation in Sustainable Development, Sustainability, 2, 215–231, 2010.
Di Baldassarre, G., Kooy, M., Kemerink, J. S., and Brandimarte, L.: Towards understanding the dynamic behaviour of floodplains as human-water systems, Hydrol. Earth Syst. Sci., 17, 3235–3244, https://doi.org/10.5194/hess-17-3235-2013, 2013a.
Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Salinas, J. L., and Blöschl, G.: Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295–3303, https://doi.org/10.5194/hess-17-3295-2013, 2013b.
Epstein, G., Vogt, J. M., Mincey, S. K., Cox, M., and Fischer, B.: Missing ecology: integrating ecological perspectives with the social-ecological system framework, Int. J. Commons, 7, 432–453, 2013.
Falkenmark, M.: Main problems of water use and transfer of technology, GeoJournal, 3, 435–443, 1979.
Falkenmark, M.: Society's interaction with the water cycle: a conceptual framework for a more holistic approach, Hydrolog. Sci. J., 42, 451–466, 1997.
Falkenmark, M.: Forward to the future: a conceptual framework for water dependence, Ambio, 28, 356–361, 1999.
Falkenmark, M.: The greatest water problem: the inability to link environmental security, water security and food security, Int. J. Water Resour. D., 17, 539–554, 2001.
Falkenmark, M.: Freshwater as Shared between Society and Ecosystems: From Divided Approaches to Integrated Challenges, Philos. T. R. Soc. B., 358, 2037–2049, 2003.
Farmer, D., Sivapalan, M., and Jothityangkoon, C.: Climate, soil, and vegetation controls upon the variability of water balance in temperate and semiarid landscapes: Downward approach to water balance analysis, Water Resour. Res., 39, 1035, https://doi.org/10.1029/2001WR000328, 2003.
Fishman, C.: The Big Thirst: The secret life and turbulent future of water, Simon and Schuster, New York, 2011.
Flörke, M., Kynast, E., Bärlund, I., Eisner, S., Wimmer, F., and Alcamo, J.: Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: A global simulation study, Global Environ. Change, 23, 144–156, 2013.
Foley, J. A., Defries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., Snyder P. K., and DeFries, R.: Global consequences of land use, Science, 309, 570–574, 2005.
Folke, C.: Ecosystem approaches to the management and allocation of critical resources, in: Successes, limitations and frontiers in ecosystem science, edited by: Pace, M. and Groffman, P., Springer Verlag, New York, 313–345, 1998.
Folke, C.: Freshwater for Resilience: A Shift in Thinking, Philos. T. R. Soc. B., 358, 2027–2036, 2003.
Folke, C.: Resilience: The emergence of a perspective for social–ecological systems analyses, Global Environ. Chang., 16, 253–267, 2006.
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., and Rockström, J.: Resilience thinking: integrating resilience, adaptability and transformability, Ecol. Soc., 15, 20–28, 2010.
Forbes, B. C., Fresco, N., Shvidenko, A., Danell, K., and Chapin, F. S.: Geographic variations in anthropogenic drivers that influence the vulnerability and resilience of social–ecological systems, Ambio, 33, 377–382, 2004.
Forbes, B. C., Stammler, F., Kumpula, T., Meschtyb, N., Pajunen, A., and Kaarlejärvi, E.: High resilience in the Yamal-Nenets social–ecological system, West Siberian Arctic, Russia, Proc. Natl. Acad. Sci. USA, 106, 22041–22048, 2009.
Fouberg, E. H., Murphy, A. B., and de Blij, H. J.: Human geography: people, place, and culture, John Wiley & Sons, Inc, Wiley. com, New Jersey, USA, 2010.
George, R., Dogramaci, S., Wyland, J., and Lacey, P.: Protecting stranded biodiversity using groundwater pumps and surface water engineering at Lake Toolibin, Western Australia, Aust. J. Water Resour., 9, 119–127, 2005.
Giddens, A.: The constitution of society: Introduction of the theory of structuration, Polity Press, Malden, MA, 1984.
Gleick, P. H.: Water and conflict: Fresh water resources and international security, Int. Security, 18, 79–112, 1993.
Gober, P. and Wheater, H. S.: Socio-hydrology and the science-policy interface: a case study of the Saskatchewan River Basin, Hydrol. Earth Syst. Sci., 18, 1413–1422, https://doi.org/10.5194/hess-18-1413-2014, 2014.
Gooch, M. and Rigano, D.: Enhancing Community-scale Social Resilience: what is the connection between healthy communities and healthy waterways?, Aust. Geogr., 41, 507–520, 2010.
Gordon, L. J., Finlayson, C. M., and Falkenmark, M.: Managing water in agriculture for food production and other ecosystem services, Agr. Water Manage., 97, 512–519, 2010.
Gregory, K. J.: The human role in changing river channels, Geomorphology, 79, 172–191, 2006.
Guimarães, M. H. E., Mascarenhas, A., Sousa, C., Boski, T., and Dentinho, T. P.: The impact of water quality changes on the socio-economic system of the Guadiana Estuary: an assessment of management options, Ecol. Soc., 17, 38–51, 2012.
Gunderson, L. H. and Holling, C. S.: Panarchy, Island Press, Washington D.C., 2002.
Hardin, G.: The tragedy of the commons, Science, 162, 1243–1248, 1968.
Hatton, T. J., Ruprecht, J., and George, R. J.: Preclearing hyrdology of the Western Australian wheatbelt: Target for the future, Plant Soil, 257, 341–356, 2003.
Heemskerk, M., Wilson, K., and Pavao-Zuckerman, M.: Conceptual Models as Tools for Communication Across Disciplines, Ecol. Soc., 7, 8–20, 2003.
Holling, C. S.: Resilience and stability of ecological systems, Annu. Rev. Ecol. Syst., 4, 1–23, 1973.
Horne, J.: Economic approaches to water management in Australia, Int. J. Water Resour. D., 29, 1–13, 2012.
Imberger, J., Mamouni, E. A. D., Anderson, J., Ng, M. L., Nicol, S., and Veale, A.: The Index of Sustainable Functionality: A new adaptive, multicriteria measurement of sustainability – Application to Western Australia, Int. J. Environ. Sust. Dev., 6, 323–355, 2007.
Johnston, B. F. and Mellor, J. W.: The role of agriculture in economic development, Am. Econ. Rev., 51, 566–593, 1961.
Jones, A.: Human geography: The basics, Routledge: Taylor and Francis, tandfonline.com, New York, NY, 2012.
Jones, N. A., Ross, H., Lynam, T., Perez, P., and Leitch, A.: Mental Models: An Interdisciplinary Synthesis of Theory and Methods, Ecol. Soc., 16, 46–58, 2011.
Kandasamy, J., Sounthararajah, D., Sivabalan, P., Chanan, A., Vigneswaran, S., and Sivapalan, M.: Socio-hydrologic drivers of the pendulum swing between agriculture development and environmental health: a case study from Murrumbidgee River Basin, Australia, Hydrol. Earth Syst. Sci., 18, 1027–1041, https://doi.org/10.5194/hess-18-1027-2014, 2014.
Kates, R. and Clark, W.: Our common journey, Washington DC, National Academy Press, 1999.
Kinzig, A. P.: Bridging Disciplinary Divides to Address Environmental and Intellectual Challenges, Ecosystems, 4, 709–715, 2001.
Kinzig, A. P., Ryan, P., Etienne, M., Allison, H., Elmqvist, T., and Walker, B. H.: Resilience and regime shifts: assessing cascading effects, Ecol. Soc., 11, 20–42, 2006.
Kinzig, A. P., Ehrlich, P. R., Alston, L. J., Arrow, K., Barrett, S., Buchman, T. G., Daily, G. C., Levin, B., Levin, S., and Oppenheimer, M.: Social norms and global environmental challenges: The complex interaction of behaviors, values, and policy, BioScience, 63, 164–175, 2013.
Kollmuss, A. and Agyeman, J.: Mind the Gap: Why Do People Act Environmentally and What Are the Barriers to Pro-Environmental Behavior?, Environ. Educ. Res., 8, 239–260, 2002.
Lade, S. J., Tavoni, A., Levin, S. A., and Schlüter, M.: Regime shifts in a social-ecological system, Theor. Ecol., 6, 359–372, 2013.
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., Coomes, O. T., Dirzo, R., Fischer, G., and Folke, C.: The causes of land-use and land-cover change: moving beyond the myths, Global Environ. Change, 11, 261–269, 2001.
Leichenko, R. M. and O'Brien, K. L.: The dynamics of rural vulnerability to global change: the case of southern Africa, Mitig. Adapt. Strateg. Glob. Change, 7, 1–18, 2002.
Liu, J., Dietz, T., Carpenter, S. R., Folke, C., Alberti, M., Redman, C. L., Schneider, S. H., Ostrom, E., Pell, A. N., Lubchenco, J., Taylor, W. W., Ouyang, Z., Deadman, P., Kratz T., and Provencher, W.: Coupled human and natural systems, Ambio, 36, 639–649, 2007a.
Liu, J. G., Dietz, T., Carpenter, S. R., Alberti, M., Folke, C., Moran, E., Pell, A. N., Deadman, P., Kratz, T., Lubchenco, J., Ostrom, E., Ouyang, Z., Provencher, W., Redman, C. L., Schneider, S. H., and Taylor, W. W.: Complexity of coupled human and natural systems, Science, 317, 1513–1516, 2007b.
Liu, Y., Gupta, H., Springer, E., and Wagener, T.: Linking science with environmental decision making: experiences from an integrated modeling approach to supporting sustainable water resources management, Environ. Modell. Softw., 23, 846–858, 2008.
Liu, Y., Tian, F., Hu, H., and Sivapalan, M.: Socio-hydrologic perspectives of the co-evolution of humans and water in the Tarim River Basin, Western China: the Taiji–Tire Model, Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, 2014.
Low, B., Costanza, R., Ostrom, E., Wilson, J., and Simon, C. P.: Human – ecosystem interactions: a dynamic integrated model, Ecol. Econ., 31, 227–242, 1999.
Luthar, S. S., Cicchetti, D., and Becker, B.: The construct of resilience: A critical evaluation and guidelines for future work, Child Dev., 71, 543–562, 2000.
Lynam, T. and Brown, K.: Mental Models in Human-Environment Interactions: Theory, Policy Implications, and Methodological Explorations, Ecol. Soc., 17, 24–26, 2012.
Mankad, A.: Decentralised water systems: Emotional influences on resource decision making, Environ. Int., 44, 128–140, 2012.
Mankad, A. and Tapsuwan, S.: Review of socio-economic drivers of community acceptance and adoption of decentralised water systems, J. Environ. Manage., 92, 380–391, 2011.
Marsh, G. P.: Man and Nature, Belknap Press of Harvard University Press, Cambridge, MA, 1864.
Masten, A. S., Best, K. M., and Garmezy, N.: Resilience and development: Contributions from the study of children who overcome adversity, Dev. Psychopathol., 2, 425–444, 1990.
McDonnell, M. J. and Pickett, S. T.: Humans as components of ecosystems: the ecology of subtle human effects and populated areas, Springer-Verlag, New York, 1993.
Molden, D., Sakthivadivel, R., and Samad, M.: Accounting for changes in water use and the need for institutional adaptation, in: Intersectoral management of river basins: Proceedings of an international workshop on Integrated Water Management in Water-Stressed River Basins in Developing Countries: Strategies for Poverty Alleviation and Agricultural Growth, Loskop Dam, South Africa, 16–21 October 2000, 2001.
Molle, F.: Historical benchmarks and reflections on small tanks and their utilization, Mossoro, Brazil: Collection Mossoroense, 1991.
Molle, F.: Development trajectories of river basins: a conceptual framework, Research Report, International Water Management Institute, 72, Colombo, Sri Lanka, 2003.
Montanari, A., Young, G., Savenije, H., Hughes, D., Wagener, T., Ren, L., Koutsoyiannis, D., Cudennec, C., Toth, E., Grimaldi, S., Blöschl, G., M. Sivapalan, M., Beven, K., Gupta, H., Hipsey, M., Schaefli, B., Arheimer, B., Boegh, E., Schymanski, S. J., Di Baldassarre, G., Yu, B., Hubert, P., Huang, Y., Schumann, A., Post, D. A., Srinivasan, V., Harman, C., Thompson, S., Rogger, M., Viglione, A., McMillan, H., Characklis, G., Pangad, Z., and Belyaev, V.: "Panta Rhei–Everything Flows": Change in hydrology and society – The IAHS Scientific Decade 2013–2022, Hydrolog. Sci. J., 58, 1256–1275, 2013.
Munro, J. K. and Moore, S. A.: Using landholder perspectives to evaluate and improve recovery planning for Toolibin Lake in the West Australian wheatbelt, Ecol. Manage. Restor., 4, 111–117, 2005.
Myrdal, G.: The Principle of Circular and Cumulative Causation, in: Economic theory and under-developed regions, edited by: Myrdal, G., Methuen and Co. Ltd., London, 11–22, 1957.
Norgaard, R. B., Kallis, G., and Kiparsky, M.: Collectively engaging complex socio-ecological systems: re-envisioning science, governance, and the California Delta, Environ. Sci. Policy, 12, 644–652, 2009.
Odum, E. P.: Ecology and our endangered life-support systems, Sinauer Associates, Massachusetts, 1989.
Ostrom, E.: A general framework for analysing sustainability of social-ecological systems, Science, 325, 419–422, 2009.
Ostrom, E., Dietz, T., Dolsak, N., Stern, P., Stonich, S., and Weber, E. (Eds.): The drama of the commons, Committee on the Human Dimensions of Global Change, National Academies Press, Washington, DC, 2002.
Pande, S., Ertsen, M., and Sivapalan, M.: Endogenous technological and population change under increasing water scarcity, Hydrol. Earth Syst. Sci. Discuss., 10, 13505–13537, https://doi.org/10.5194/hessd-10-13505-2013, 2013.
Pearce, F.: When the Rivers Run Dry: Water – The Defining Crisis of the Twenty-first Century, Beacon Press, Boston, Massachussets, 2007.
Postel, S. L.: Securing water for people, crops, and ecosystems: New mindset and new priorities, Nat. Resour. Forum, 27, 89–98. 2003.
Ribeiro Neto, A., Scott, C. A., Lima, E. A., Montenegro, S. M. G. L., and Cirilo, J. A.: Infrastructure sufficiency in meeting water demand under climate-induced socio-hydrological transition in the urbanizing Capibaribe River Basin – Brazil, Hydrol. Earth Syst. Sci. Discuss., 11, 2795–2824, https://doi.org/10.5194/hessd-11-2795-2014, 2014.
Rockström, J., Lannerstad, M., and Falkenmark, M.: Assessing the water challenge of a new green revolution in developing countries, Proc. Natl. Acad. Sci. USA, 104, 6253–6260, 2007.
Rockström, J., Falkenmark, M., Karlberg, L., Hoff, H., Rost, S., and Gerten, D.: Future water availability for global food production: the potential of green water for increasing resilience to global change, Water Resour. Res., 45, W00A12, https://doi.org/10.1029/2007WR006767, 2009.
Rogers, R. W.: A Protection Motivation Theory of Fear Appeals and Attitude Change1, J. Psychol., 91, 93–114, 1975.
Rolfe, J., Donaghy, P., Alam, K., O'Dea, G., and Miles, R.: Considering the economic and social impacts of protecting environmental values in specific Moreton Bay/SEQ, Mary River Basin/Great Sandy Strait Region and Douglas Shire waters, Report prepared for the Environmental Protection Agency, Queensland Government, Rockhampton, Australia, 2005.
Savenije, H., Hoekstra, A., and van der Zaag, P.: Evolving water science in the Anthropocene, Hydrol. Earth Syst. Sci., 18, 319–332, https://doi.org/10.5194/hess-18-319-2014, 2014.
Scheffer, M.: Critical transitions in nature and society, Princeton University Press, Princeton, New Jersey, 2009.
Scheffer, M. and Westley, F. R.: The evolutionary basis of rigidity: locks in cells, minds, and society, Ecol. Soc., 12, 36–48, 2007.
Schlüter, M. and Herrfahrdt-Pähle, E.: Exploring resilience and transformability of a river basin in the face of socio-economic and ecological crisis: An example from the Amudarya River Basin, central Asia, Ecol. Soc., 16, 1–19, 2011.
Schlüter, M. and Pahl-Wostl, C.: Mechanisms of resilience in common-pool resource management systems: an agent-based model of water use in a river basin, Ecol. Soc., 12, 4–26, 2007.
Schlüter, M., Leslie, H., and Levin, S.: Managing water-use trade-offs in a semi-arid river delta to sustain multiple ecosystem services: a modeling approach, Ecol. Res., 24, 491–503, 2009.
Schlüter, M., McAllister, R. R. J., Arlinghaus, R., Bunnefeld, N., Eisenack, K., Hoelker, F., Milner-Gulland, E. J., Müller, B., Nicholson, E., Quaas, K., and Stöven, M.: New horizons for managing the environment: A review of coupled social-ecological systems modeling, Nat. Resour. Model., 25, 219–272, 2012.
Schlüter, M., Müller, B., and Frank, K.: How to use models to improve analysis and governance of social-ecological systems – the reference frame MORE, Working Paper, 5 April 2013, https://doi.org/10.2139/ssrn.2037723, 2013.
Schwarz, N. and Ernst, A.: Agent-based modeling of the diffusion of environmental innovations – An empirical approach, Technol. Forecast. Soc., 76, 497–511, 2009.
Seymour, E., Curtis, A., Pannell, D., Allan, C., and Roberts, A.: Understanding the role of assigned values in natural resource management, Australas. J. Environ., 17, 142–153, 2010.
Sherrieb, K., Norris, F. H., and Galea, S.: Measuring Capacities for Community Resilience, Soc. Indic. Res., 99, 227–247, 2010.
Simane, B., Zaitchik, B. F., and Mesfin, D.: Building Climate Resilience in the Blue Nile/Abay Highlands: A Framework for Action, Int. J. Environ. Res. Public Health, 9, 435–461, 2012.
Sivapalan, M., Savenije, H. H. G., and Blöschl, G.: Socio-hydrology: A new science of people and water, Hydrol. Process., 26, 1270–1276, 2012.
Sivapalan, M., Konar, M., Srinivasan, V., Chhatre, A., Wutich, A., Scott, C. A., Wescoat, J. L., and Rodríguez-Iturbe, I.: Socio-hydrology: Use inspired water sustainability science for the Anthropocene, Earth's Future, 2, 225–230, https://doi.org/10.1002/eft2.26, 2014.
Smith, J., Moore, R., Anderson, D., and Siderelis, C.: Community Resilience in Southern Appalachia: A Theoretical Framework and Three Case Studies, Hum. Ecol., 40, 341–353, 2012.
Srinivasan, V.: Coevolution of water security in a developing city, Hydrol. Earth Syst. Sci. Discuss., 10, 13265–13291, https://doi.org/10.5194/hessd-10-13265-2013, 2013.
Srinivasan, V., Seto, K. C., Emerson, R., and Gorelick, S. M.: The impact of urbanization on water vulnerability: A coupled human-environment system approach for Chennai, India, Global Environ. Change, 23, 229–239, 2013.
Steffen, W., Grinevald, J., Crutzen, P., and McNeill, J.: The Anthropocene: conceptual and historical perspectives, Philos. T. R. Soc. A, 369, 842–867, 2011.
Stein, T. V., Anderson, D. H., and Kelly, T.: Using stakeholders' values to apply ecosystem management in an upper Midwest landscape, Environ. Manage., 24, 399–413, 1999.
Tavoni, A., Schlüter, M., and Levin, S.: The survival of the conformist: social pressure and renewable resource management, J. Theor. Biol., 299, 152–161, 2012.
Thomas Jr., W. L.: Man's Role in Changing the Face of the Earth, University of Chicago Press, Chicago, USA, 1956.
Thompson, S. E., Sivapalan, M., Harman, C. J., Srinivasan, V., Hipsey, M. R., Reed, P., Montanari, A., and Blöschl, G.: Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013–5039, https://doi.org/10.5194/hess-17-5013-2013, 2013.
Tolun, L. G., Ergenekon, S., Hocaoglu, S. M., Donertas, A. S., Cokacar, T., Husrevoglu, S., Beken, C. P., and Baban, A.: Socioeconomic Response to Water Quality: a First Experience in Science and Policy Integration for the Izmit Bay Coastal System, Ecol. Soc., 17, 40–53, 2012.
Transparency International: The Corruption Perceptions Index, Transparency International, Berlin, 2012.
Turner, B. L.: Vulnerability and resilience: Coalescing or paralleling approaches for sustainability science?, Global Environ. Change, 20, 570–576, 2010.
Turner, B. L., Clark, W., Kates, R., Richards, J., Matthews, J., and Meyer, W. B.: The earth as transformed by human action: global and regional changes in the biosphere over the past 300 years, Cambridge University Press Archive, Cambridge, UK, 1990.
Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., Kasperson, J. X., Luers, A., Martello, M. L., Polsky, C., Pulsipher, A., and Schiller, A.: A framework for vulnerability analysis in sustainability science, Proc. Natl. Acad. Sci. USA, 100, 8074–8079, 2003.
Turral, H.: Hydro-Logic?: Reform in Water Resources Management in Developed Countries with Major Agricultural Water Use: Lessons for Developing Nations, Overseas Development Institute, London, 1998.
UNDP: Human Development Report 1990, United Nations Development Programme, New York, 1990.
UNEP: World atlas of desertification, United Nations Environment Programme, London, 1997.
van Emmerik, T. H. M., Li, Z., Sivapalan, M., Pande, S., Kandasamy, J., Savenije, H. H. G., Chanan, A., and Vigneswaran, S.: Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River Basin, Australia, Hydrol. Earth Syst. Sci. Discuss., 11, 3387–3435, https://doi.org/10.5194/hessd-11-3387-2014, 2014.
Vanclay, F.: The social side of natural resource management, W.A. BankWest Landcare Conference: Where Community Counts, Esperance, W.A., September, 29–39, 1999.
Vanclay, F.: Social principles for agricultural extension to assist in the promotion of natural resource management, Animal Production Science, 44, 213–222, 2004.
Varis, O.: Poverty, economic growth, deprivation, and water: the cases of Cambodia and Vietnam, Ambio, 37, 225–231, 2008.
Vaske, J. J. and Donnelly, M. P.: A value-attitude-behavior model predicting wildland preservation voting intentions, Soc. Natur Resour., 12, 523–537, 1999.
Vörösmarty, C. J., Leveque, C., and Revenga, C. (Convening Lead Authors) (with Bos, R., Caudill, C., Chilton, J., Douglas, E. M., Meybeck, M., Prager, D., Balvanera, P., Barker, S., Maas, M., Nilsson, C., Oki, T., Reidy, C. A.): Chapter 7: Fresh Water, in: Millennium Ecosystem Assessment, Volume 1: Conditions and Trends Working Group Report, Island Press, Washington DC, 165–207, 2005.
Walker, K. and Thoms, M.: Environmental effects of flow regulation on the lower River Murray, Australia, Regul. River, 8, 103–119, 1993.
Zilberman, D., Dinar, A., MacDougall, N., Khanna, M., Brown, C., and Castillo, F.: Individual and institutional responses to the drought: the case of California agriculture, J. Contemp. Water Res. Educ., 121, 17–23, 2011.