Development of ecohydrological assessment tool and its application |
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Authors: | ChangMing?Liu Email author" target="_blank">ShengTian?YangEmail author ZhiQun?Wen XueLei?Wang YuJuan?Wang Qian?Li HaoRan?Sheng |
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Affiliation: | (1) Institude of Water Science, Beijing Normal University, Beijing, 100875, China;(2) State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, 100875, China;(3) Key Laboratory of Water Resources and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, 100101, China |
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Abstract: | The development of Hydro-Informatic Modelling System (HIMS) provides an integrated platform for hydrological simulation. To
extend the application of HIMS, an ecohydrological modeling system named ecohydrological assessment tool (EcoHAT) has been
developed. Integrating parameter-management tools, RS (remote sensing) inversion tools, module-design tools and GIS analysis
tools, the EcoHAT provides an integrated tool to simulate ecohydrological processes on regional scale, which develops a new
method on sustainable use of water. EcoHAT has been applied to several case studies, such as, the Yellow River Basin, the
acid deposition area in Guizhou province and the riparian catchment of Guanting reservoir in Beijing. Results prove that EcoHAT
can efficiently simulate and analysis the ecohydrological processes on regional scale and provide technical support to integrated
water resources management on basin scale.
Supported by the National Key Technology R&D Program in the 11th Five-year Plan of China (Grant No. 2006BAB06B07), the National
Natural Science Foundation of China (Grant No. 40671123), the National Basic Research Program of China (“973” Project) (Grant
Nos. 2005CB422207, G19990436), and the National Hi-Tech Research and Development Program of China (“863” Project) (Grant No.
2006AA12Z145) |
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Keywords: | EcoHAT ecohydrology distributed model remote sensing |
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