Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 204, Issue -, Pages 651-666Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2017.09.021
Keywords
Interval chance-constrained fuzzy model; Land-use allocation; Environment protection; Ecological balance; Wujiang watershed
Categories
Funding
- National Natural Science Foundation of China [41401631, 41641007, 71774066]
- Humanity and Social Science Foundation of Ministry of Education of China [13YJC630115]
- Thinking Bank Project of Hubei province [HBSXK201616]
- Independent Innovation Fund of Huazhong University of Science and Technology [2016AC040]
- Humanity and Social Science foundation of Educational Commission of Hubei Province, China [17Y014]
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An interval chance-constrained fuzzy land-use allocation (ICCF-LUA) model is proposed in this study to support solving land resource management problem associated with various environmental and ecological constraints at a watershed level. The ICCF-LUA model is based on the ICCF (interval chance constrained fuzzy) model which is coupled with interval mathematical model, chance-constrained programming model and fuzzy linear programming model and can be used to deal with uncertainties expressed as intervals, probabilities and fuzzy sets. Therefore, the ICCF-LUA model can reflect the tradeoff between decision makers and land stakeholders, the tradeoff between the economical benefits and eco-environmental demands. The ICCF-LUA model has been applied to the land-use allocation of Wujiang watershed, Guizhou Province, China. The results indicate that under highly land suitable conditions, optimized area of cultivated land, forest land, grass land, construction land, water land, unused land and landfill in Wujiang watershed will be [5015, 5648] hm(2), [7841, 7965] hm(2), [1980, 2056] hm(2), [914, 1423] hm2, [70, 90] hm(2), [50, 70] hm(2) and [3.2, 4.3] hm(2), the corresponding system economic benefit will be between 6831 and 7219 billion yuan. Consequently, the ICCF-LUA model can effectively support optimized land-use allocation problem in various complicated conditions which include uncertainties, risks, economic objective and eco-environmental constraints. (C) 2017 Elsevier Ltd. All rights reserved.
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