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| Model based decision support system for land use changes and socio-economic assessments |
Yang YU1,*( ), Xi CHEN1, HUTTNER Philipp2, HINNENTHAL Marie3, BRIEDEN Andreas3, Lingxiao SUN1, DISSE Markus2 |
1 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
2 Chair of Hydrology and River Basin Management, Technical University of Munich, Munich 80333, Germany
3 Chair of Statistics and Risk Management, Universitaet der Bundeswehr Muenchen, Neubiberg D-85577, Germany |
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Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model,water availability in semi-arid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management.
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Received: 28 August 2017
Published: 10 April 2018
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Corresponding Authors:
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| About author: The first and fourth authors contributed equally to this work. |
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