Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 1593-1609, 2017
https://doi.org/10.5194/hess-21-1593-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
16 Mar 2017
Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?
Mark Honti1, Nele Schuwirth2, Jörg Rieckermann2, and Christian Stamm2 1MTA-BME Water Research Group, Hungarian Academy of Sciences, Műegyetem rkp. 3, Budapest, 1111, Hungary
2Eawag: Swiss Federal Institute of Aquatic Sciences and Technology, Ueberland Strasse 133, Dübendorf, 8600, Switzerland
Abstract. The design and evaluation of solutions for integrated surface water quality management requires an integrated modelling approach. Integrated models have to be comprehensive enough to cover the aspects relevant for management decisions, allowing for mapping of larger-scale processes such as climate change to the regional and local contexts. Besides this, models have to be sufficiently simple and fast to apply proper methods of uncertainty analysis, covering model structure deficits and error propagation through the chain of sub-models. Here, we present a new integrated catchment model satisfying both conditions. The conceptual iWaQa model was developed to support the integrated management of small streams. It can be used to predict traditional water quality parameters, such as nutrients and a wide set of organic micropollutants (plant and material protection products), by considering all major pollutant pathways in urban and agricultural environments. Due to its simplicity, the model allows for a full, propagative analysis of predictive uncertainty, including certain structural and input errors. The usefulness of the model is demonstrated by predicting future surface water quality in a small catchment with mixed land use in the Swiss Plateau. We consider climate change, population growth or decline, socio-economic development, and the implementation of management strategies to tackle urban and agricultural point and non-point sources of pollution. Our results indicate that input and model structure uncertainties are the most influential factors for certain water quality parameters. In these cases model uncertainty is already high for present conditions. Nevertheless, accounting for today's uncertainty makes management fairly robust to the foreseen range of potential changes in the next decades. The assessment of total predictive uncertainty allows for selecting management strategies that show small sensitivity to poorly known boundary conditions. The identification of important sources of uncertainty helps to guide future monitoring efforts and pinpoints key indicators, whose evolution should be closely followed to adapt management. The possible impact of climate change is clearly demonstrated by water quality substantially changing depending on single climate model chains. However, when all climate trajectories are combined, the human land use and management decisions have a larger influence on water quality against a time horizon of 2050 in the study.

Citation: Honti, M., Schuwirth, N., Rieckermann, J., and Stamm, C.: Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?, Hydrol. Earth Syst. Sci., 21, 1593-1609, https://doi.org/10.5194/hess-21-1593-2017, 2017.
Publications Copernicus
Download
Short summary
We present a new catchment model that covers most major pollutants and is suitable for uncertainty analysis. The effects of climate change, population dynamics, socio-economic development, and management strategies on water quality are demonstrated in a small catchment in the Swiss Plateau. Models and data are still the largest sources of uncertainty for some water quality parameters. Uncertainty assessment helps to select robust management and focus research and monitoring efforts.
We present a new catchment model that covers most major pollutants and is suitable for...
Share