A grey fuzzy multiobjective programming approach for the optimal planning of a reservoir watershed. Part B: Application |
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| Affiliation: | 1. School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, PR China;3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China;4. Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China;1. State Key Lab. of Resources and Environment Information System, Institute of Geographical Sciences and Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China;3. Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China;4. Department of Geography, University of Wisconsin, Madison, WI 53706, USA;5. Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100101, China;1. University of Florida, Department of Agricultural & Biological Engineering, Gainesville, Florida 32605, USA;2. University of Venice Cà Foscari, Department of Environmental Sciences, Informatics & Statistics, Venice 30170, Italy;3. Ecole Polytechnique Fédérale de Lausanne, Laboratory of Ecohydrology, CH-1015 Lausanne, Switzerland;4. Texas A&M University, Department of Ocean Engineering, College Station, Texas 77845, USA |
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| Abstract: | The conflict between environmental protection of reservoir water quality and economic development by different uses of land within a watershed is a problem that constantly bothers the public officials in regional planning. Besides, the uncertainties regarding to the fuzzy goals in decision making and the impreciseness of parameter values always create additional difficulties in systems analysis. This paper applies the grey fuzzy multiobjective linear programming (GFMOLP) method for the evaluation of sustainable management strategies for optimal land development in a reservoir watershed. In particular, it demonstrates how uncertain messages in water resources management systems can be quantified by specific fuzzy membership functions and grey numbers in a multiobjective analytical framework. A case study of the planning for land-use programs in the Tweng-Wen reservoir watershed in Taiwan was prepared for the purpose of demonstration. |
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