Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 14 3 2010 10.5194/hess-14-521-2010 http://www.hydrol-earth-syst-sci.net/14/521/2010/ http://www.hydrol-earth-syst-sci.net/14/521/2010/hess-14-521-2010.html http://www.hydrol-earth-syst-sci.net/14/521/2010/hess-14-521-2010.pdf 521 534 2010-03-16 Accessible integration of agriculture, groundwater, and economic models using the Open Modeling Interface (OpenMI): methodology and initial results T. Bulatewicz tombz@ksu.edu X. Yang J. M. Peterson S. Staggenborg S. M. Welch D. R. Steward Kansas State University, Dept. of Computing and Information Sciences, Manhattan, Kansas, USA Kansas State University, Dept. of Civil Engineering, Manhattan, Kansas, USA Kansas State University, Dept. of Agronomy, Manhattan, Kansas, USA Kansas State University, Dept. of Agricultural Economics, Manhattan, Kansas, USA Policy for water resources impacts not only hydrological processes, but the closely intertwined economic and social processes dependent on them. Understanding these process interactions across domains is an important step in establishing effective and sustainable policy. Multidisciplinary integrated models can provide insight to inform this understanding, though the extent of software development necessary is often prohibitive, particularly for small teams of researchers. Thus there is a need for practical methods for building interdisciplinary integrated models that do not incur a substantial development effort. In this work we adopt the strategy of linking individual domain models together to build a multidisciplinary integrated model. The software development effort is minimized through the reuse of existing models and existing model-linking tools without requiring any changes to the model source codes, and linking these components through the use of the Open Modeling Interface (OpenMI). This was found to be an effective approach to building an agricultural-groundwater-economic integrated model for studying the effects of water policy in irrigated agricultural systems. The construction of the integrated model provided a means to evaluate the impacts of two alternative water-use policies aimed at reducing irrigated water use to sustainable levels in the semi-arid grasslands overlying the Ogallala Aquifer of the Central US. The results show how both the economic impact in terms of yield and revenue and the environmental impact in terms of groundwater level vary spatially throughout the study region for each policy. Accessible integration strategies are necessary if the practice of interdisciplinary integrated simulation is to become widely adopted. Ahrends, H., Mast, M., Rodgers, C., and Kunstmann, H.: Coupled hydrological-economic modelling for optimised irrigated cultivation in a semi-arid catchment of West Africa, Environ. Modell Softw., 23(4), 385–395, 2008. Bernardo, D. J., Mapp, H. P., Sabbagh, G. J., Geleta, S., Watkins, K. B., Elliott, R. L., and Stone, J. F.: Economic and environmental impacts of water quality protection policies 1. Framework for regional analysis, Water Resour. Res., 29(9), 3069–3080, 1993. Bhuyan, S J., Kalita, P K., Janssen, K A., and Barnes, P L.: Soil loss predictions with three erosion simulation models, Environ. Modell Softw., 17(2), 135–144, 2002. Bithell, M. and Brasington, J.: Coupling agent-based models of subsistence farming with individual-based forest models and dynamic models of water distribution, Environ. Modell Softw., 24(2), 173–190, 2009. Braat, L. C. and van Lierop, W. F. J.: Economic-ecological modeling, Elsevier, 329~pp., 1987. Brouwer, R. and Hofkes, M.: Integrated hydro-economic modelling: Approaches, key issues and future research directions, Ecol. Econ., 66(1), 16–22, 2008. Brown, R A. and Rosenberg, N J.: Sensitivity of crop yield and water use to change in a range of climatic factors and CO2 concentrations: A simulation study applying EPIC to the central USA, Agr. Forest. Meteorol., 83(3–4), 171–203, 1997. Buis, S., Piacentini, A., and Declat, D.: PALM: A computational framework for assembling high-performance computing applications, Concurr Comp.-Pract. E., 18(2), 231–245, 2006. Bulatewicz, T. and Cuny, J.: Interface-based support for model coupling: Spatial representation and compatibility issues, in: Proceedings of the 2005 GeoComputation Conference, Ann Arbor, Michigan, USA, 1–3 August, 2005. Bulatewicz, T. and Cuny, J.: A domain-specific language for model coupling, in: Proceedings of the 2006 Winter Simulation Conference, Monterey, California, 3–6 December, 1091–1100, 2006. Bulatewicz, T., Jin, W., Staggenborg, S., et al.: Calibration of a crop model to irrigated water use using a genetic algorithm, Hydrol. Earth Syst. Sci., 13, 1467–1483, 2009. Burness, H. S. and Brill, T. C.: The role for policy in common pool groundwater use, Resour. Energ. Econ., 23(1), 19–40, 2001. Burt, O. R.: Optimal resource use over time with an application to ground water, Manage. Sci., 11(1), 80–93, 1964. Burt, O. R.: Economic control of groundwater reserves, 48(3–1), J. Farm Econ., 632–647, 1966. Cai, X., McKinney, D. C., and Lasdon, L. S.: Integrated Hydrologic-Agronomic-Economic Model for River Basin Management, J. Water Res. Pl.-ASCE, 129(1), 4–17, 2003. Carlson, J., David, O., Ascough, J., Geter, F., and Ahuja, L.: The role of the Object Modelling System (OMS) for integrated assessments of conservation on agricultural land in the United States, in: Proceedings of the Conference on Integrated Assessment of Agriculture and Sustainable Development: Setting the Agenda for Science and Policy (AgSAP 2009), edited by: Van Ittersum, M. K., Wolf, J., and Van Laar, H. H., Egmond aan Zee, The Netherlands, 10–12 March, 324–325, 2009. Cederstrand, J R. and Becker, M F.: Digital map of specific yield for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, Open File Report 98-414, US Geological Survey, available at: http://pubs.usgs.gov/of/1998/ofr98-414, 1998a. Cederstrand, J R. and Becker, M F.: Digital map of hydraulic conductivity for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, Open File Report 98-548, US Geological Survey, available at: http://pubs.usgs.gov/of/1998/ofr98-548, 1998b. Commodity Research Bureau: Historical market data, PowerGen Synthetic Data Generator, version 5.0.3, 2006. Costantini, E. A C., Castelli, F., Raimondi, S., and Lorenzoni, P.: Assessing soil moisture regimes with traditional and new methods, Soil Sci. Soc. Am. J., 66, 1889–1896, 2002. Cuddy, S. M., Saguantham, P., Letcher, R. A., Croke, B. F. W. and Saifuk, K.: IWRAM DSS – a modelling approach for integrated water resources assessment and management in northern Thailand, in: SIMMOD 05 International Conference on Simulation and Modelling 2005, edited by: Kachitvichyanukul, V., Purintrapiban, U., and Utayopas, P., Nakornpathom, Thailand, 299–308, Asian Institute of Technology, Bangkok, Thailand. 2005. Custodio, E.: Aquifer overexploitation: What does it mean?, Hydrogeol. J., 10(2), 254–277, 2002. David, O., Markstrom, S L., Rojas, K W., Ahuja, L R., and Schneider, I W.: The Object Modeling System, Agricultural System Models in Field Research and Technology Transfer, edited by: Ahuja, L., Ma, L., Howell, T. A., Lewis Publishers, CRC Press LLC, Boca Raton, Florida, USA, 317–337, 2002. Dhakhwa, G B., Campbell, C L., LeDuc, S K., and Cooter, E J.: Maize growth: Assessing the effects of global warming and CO₂ fertilization with crop models, Agr. Forest. Meteorol., 87(4), 253–272, 1997. Draper, A. J., Jenkins, M. W., Kirby, K. W., Lund, J. R., and Howitt, R. E.: Economic-engineering optimization for California water management, J. Water Res. Pl.-ASCE, 129(3), 155–164, 2003. Ford, R W., Riley, G D., Bane, M K., Armstrong, C W., and Freeman, T L.: GCF: A general coupling framework, Concurr. Comp.-Pract. E., 18(2), 163–181, 2006. Gomann, H., Kreins, P., Kunkel, R., and Wendland, F.: Model based impact analysis of policy options aiming at reducing diffuse pollution by agriculture – a case study for the river Ems and a sub-catchment of the Rhine, Environ. Modell Softw., 20(2), 261–271, 2005. Gregersen, J B., Gijsbers, P. J A., and Westen, S. J P.: OpenMI: Open modeling interface, J. Hydroinform., 9(3), 175–191, 2007. Gutentag, E D., Heimes, F J., Krothe, N C., Luckey, R R., and Weeks, J B.: Geohydrology of the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas and Wyoming, Professional Paper 1400-B, US Geological Survey, 1984. Hansen, C V.: Estimates of freshwater storage and potential natural recharge for principal aquifers in Kansas, Water Resources Investigations 87-4230, US Geological Survey, 1991. Hardie, I W. and Parks, P J.: Land use with heterogeneous land quality: An application of an area base model, Am. J. Agr. Econ., 79(2), 299–310, 1997. Harou, J. J., Pulido-Velazquez, M., Rosenberg, D. E., Medellin-Azuara, J., Lund, J. R., and Howitt, R. E.: Hydro-economic models: Concepts, design, applications and future prospects, J. Hydrol., 375(3–4), 627–643, 2009. Harris, G.: Integrated assessment and modelling: an essential way of doing science, Environ. Modell. Softw., 17(3), 201–207, 2002. Hausberger, G., Davis, J C., Miller, R D., Look, K., Adkins-Heljeson, D., Ross, J A., Bennett, B., Scholss, J., and Bohling, G C.: WIZARD; Water Information Storage and Retrieval Database, Open File Report 98-13, Kansas Geological Survey, available at: www.kgs.ku.edu/Magellan/WaterLevels/index.html, 1998. Hendricks, N P.: Estimating irrigation water demand with a multinomial logit selectivity model, Department of Agricultural Economics, Kansas State University, Manhattan, Kansas, 134~pp., 2007. High Plains Regional Climate Center: High Plains Regional Climate Center, available at: http://www.hprcc.unl.edu, 2009. Howitt, R. E.: Positive mathematical programming, Am. J. Agr. Econ., 77(2), 329–342, 1995. Huang, M., Gallichand, J., Dang, T., and Shao, M.: An evaluation of EPIC soil water and yield components in the gully region of Loess Plateau, China, J. Agr. Sci., 144(4), 339–348, 2006. Jakeman, A J. and Letcher, R A.: Integrated assessment and modelling: features, principles and examples for catchment management, Environ. Modell. Softw., 18(6), 491–501, 2003. Joppich, W. and Kurschner, M.: MpCCI – A tool for the simulation of coupled applications, Concurr. Comp.-Pract. E., 18(2), 183–192, 2006. Kansas Weather Data Library: Kansas Weather Data Library, available at: http://www.ksre.ksu.edu/wdl, 2008. Koundouri, P.: Current issues in the economics of groundwater resource management, J. Econ. Surv., 18(5), 703–740, 2004. Laroche, A M., Gallichand, J., and Theriault, M.: Regional estimation of groundwater recharge using the erosion-productivity impact calculator, Can. Agr. Eng., 41, 13–22, 1999. Larson, J W., Jacob, R L., Foster, I T., and Guo, J.: The model coupling toolkit, in: Lecture Notes In Computer Science; Proceedings of the International Conference on Computational Sciences-Part I, Springer-Verlag, 2073 185–194, 2001. Lee, J J., Phillips, D L., and Dodson, R F.: Sensitivity of the US corn belt to climate change and elevated CO₂, 2. Soil erosion and organic carbon, Agr. Syst., 52(4), 503–521, 1996. Lichtenberg, E.: Land quality, irrigation development, and cropping patterns in the Northern High Plains, Am. J. Agr. Econ., 71(1), 187–194, 1989. Macfarlane, P A. and Wilson, B B.: Enhancement of the bedrock-surface-elevation map beneath the Ogallala portion of the High Plains Aquifer, western Kansas, Kansas Geological Survey Technical Series, 20, 28~pp., 2006. Maddala, G S.: Limited-dependent and qualitative variables in econometrics, Cambridge University Press, Cambridge, UK, 401~pp., 1983. Moore, R V. and Tindall, C I.: An overview of the open modelling interface and environment (the OpenMI), Environ. Sci. Policy, 8(3), 279–286, 2005. OATC: OpenMI Association Technical Committee (OATC) Configuration Editor Software, available at: http://sourceforge.net/projects/openmi, 2009. Pahl-Wostl, C.: Participative and Stakeholder-Based Policy Design, Evaluation and Modeling Processes, Integrat. Ass., 3(1), 3–14, 2002. Parker, P., Letcher, R., Jakeman, A., Beck, M B., Harris, G., Argent, R M., Hare, M., Pahl-Wostl, C., Voinov, A., Janssen, M., Sullivan, P., Scoccimarro, M., Friend, A., Sonnenshein, M., Barker, D., Matejicek, L., Odulaja, D., Deadman, P., Lim, K., Larocque, G., Tarikhi, P., Fletcher, C., Put, A., Maxwell, T., Charles, A., Breeze, H., Nakatani, N., Mudgal, S., Naito, W., Osidele, O., Eriksson, I., Kautsky, U., Kautsky, E., Naeslund, B., Kumblad, L., Park, R., Maltagliati, S., Girardin, P., Rizzoli, A., Mauriello, D., Hoch, R., Pelletier, D., Reilly, J., Olafsdottir, R., and Bin, S.: Progress in integrated assessment and modelling, Environ. Modell. Softw., 17(3), 209–217, 2002. Parson, E A.: Integrated assessment and environmental policy making: In pursuit of usefulness, Energ. Policy, 23(4–5), 463–475, 1995. Paul, R J. and Taylor, S. J E.: What use is model reuse: Is there a crook at the end of the rainbow?, in: Proceedings of the 2002 Winter Simulation Conference, 1, 648–652, 2002. Pidd, M.: Simulation software and model reuse: A polemic, in: Proceedings of the 2002 Winter Simulation Conference, 1, 772–775, 2002. Robinson, S., Nance, R E., Paul, R J., Pidd, M., and Taylor, S. J E.: Simulation model reuse: Definitions, benefits and obstacles, Simul. Model. Pract. Th., 12(7–8), 479–494, 2004. Rotmans, J. and Van Asselt, M.: Integrated assessment: A growing child on its way to maturity, Climatic Change, 34(3–4), 327–336, 1996. Steward, D R.: Groundwater response to changing water-use practices in sloping aquifers, Water Resour. Res., 43, W05 408:1-12, \doi10.1029/2005WR004837, 2007. Steward, D R. and Ahring, T.: An analytic solution for groundwater uptake by phreatophytes spanning spatial scales from plant to field to regional, J. Eng. Math., 64, 85–103, doi:10.1007/s10665-008-9255-x, 2008. Steward, D R. and Bernard, E A.: The synergistic powers of AEM and GIS geodatabase models in water resources studies, Ground Water, 44(1), 56–61, 2006b. Steward, D R., Le Grand, P., Jankovic, I., and Strack, O. D L.: Cauchy integrals for boundary segments with curvilinear geometry, P. R. Soc. Lond. A-Conta, 464, 223–248, 2008. Steward, D R., Peterson, J M., Yang, X., Bulatewicz, T., Herrera-Rodriguez, M., Mao, D., and Hendricks, N.: Groundwater economics: An object oriented foundation for integrated studies of irrigated agricultural systems, Water Resour. Res., 45, W05 430, doi:10.1029/2008WR007149, 2009. Strack, O. D L.: Groundwater Mechanics, Prentice Hall, Englewood Cliffs, NJ, 1989. Tan, G X. and Shibasaki, R.: Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration, Ecol. Model, 168(3), 357–370, 2003. USDA: U.S. General Soil Map (STATSGO), available at: http://soildatamart.nrcs.usda.gov, 1994. USDA: Soil Survey Geographic (SSURGO) database, available at: http://soildatamart.nrcs.usda.gov, 2006. USDA: National Agricultural Statistics Service, available at: http://www.nass.usda.gov, 2008. van Ittersum, M K., Ewert, F., Heckelei, T., Wery, J., Olsson, J A., Andersen, E., Bezlepkina, I., Brouwer, F., Donatelli, M., Flichman, G., Olsson, L., Rizzoli, A., van der Wal, T., Wien, J E., and Wolf, J.: Integrated assessment of agricultural systems – A component-based framework for the European Union (SEAMLESS), Agr. Syst., 96(1–3), 150–165, 2008. Volk, M., Hirschfeld, J., Dehnhardt, A., Schmidt, G., Bohn, C., Liersch, S., Gassman, P. W.: Integrated ecological-economic modelling of water pollution abatement management options in the Upper Ems River Basin, Ecol. Econ., 66(1), 66–76, 2008. Warner, G S., Stake, J D., Guillard, K., and Neafsey, J.: Evaluation of EPIC for a shallow New England soil 1. Maize yield and nitrogen uptake, Trans. ASAE, 40(3), 575–583, 1997. Williams, J R., Dyke, P T., Fuchs, W W., Benson, V M., Rice, O W., and Taylor, E D.: EPIC – Erosion/Productivity Impact Calculator: 2 User Manual, USDA Technical Bulletin No. 1768, 1990. Wilson, B., Bartley, J., Emmons, K., et al.: Water Information Management and Analysis System, Version 5, for the Web, User Manual, Kansas Geological Survey Open File Report 2005–30, 2005. Wu, J., Adams, R M., Kling, C L., and Tanaka, K.: From microlevel decisions to landscape changes: An assessment of agricultural conservation policies, Am. J. Agr. Econ., 86(1), 26–41, 2004. Yang, X., Steward, D R., de Lange, W J., et al.: Data model for system conceptualization in groundwater studies, Int. J. Geogr. Inf. Sci., accepted, 2009. Young, R. A., Daubert, J. T., and Morel-Seytoux, H. J.: Evaluating institutional alternatives for managing an interrelated stream-aquifer system, Am. J. Agr. Econ., 68(4), 787–797, 1986.