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Model based decision support system for land use changes and socio-economic assessments

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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.
Download Comment From cooperative journals:《Journal of Arid Land》 Hits:2157 Downloads:1069
Recommended references: YU, Yang,CHEN, Xi,HUTTNER, Philipp, HINNENTHAL, Marie,BRIEDEN, Andreas,SUN, Lingxiao,DSE, ISMarkus.(2018).Model based decision support system for land use changes and socio-economic assessments.Journal of Arid Land.[ChinaXiv:201803.00010] (Click&Copy)
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[V1] 2018-02-28 12:36:20 chinaXiv:201803.00010V1 Download
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