A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China
In this study, a wetland reallocation (WR) plan based on water-indicator is designed to confront various ecological crisis and flood risks on Yonding River Floodplain, China, where converting farmland to wetland (CFW) and water diversion (WD) can be considered to balance the tradeoff between manual...
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Elsevier
2021
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oai:doaj.org-article:f7c03b2924b74a28b4fad7ae5bd2c6372021-12-01T04:43:24ZA risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China1470-160X10.1016/j.ecolind.2021.107342https://doaj.org/article/f7c03b2924b74a28b4fad7ae5bd2c6372021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000078https://doaj.org/toc/1470-160XIn this study, a wetland reallocation (WR) plan based on water-indicator is designed to confront various ecological crisis and flood risks on Yonding River Floodplain, China, where converting farmland to wetland (CFW) and water diversion (WD) can be considered to balance the tradeoff between manual land utilization and wetland conservation. A risk-simulation based two-stage stochastic fuzzy (RTF) method is developed for handling multiple uncertainties in a WR issue, which cannot only map various risks (including water shortage, soil loss, flood and pollution) through Geographic Information System (GIS), but also deal with objective / subjective uncertainties in a two-stage context. Through risk-simulation, numbers of risk maps have been obtained based on various WD scenarios, which displayed that ecological risk would be the lowest when water diversion reached 200 x 106m3, while flooding risk would increase. Meanwhile, based on WR optimization, natural-artificial wetland reallocations would decrease ecological loss about US$ 0.92 x 106 at highest. Moreover, the optimized land utilizations under various CFW and WD scenarios have been obtained. This study is useful for policymakers of floodplain to adjust current land utilization strategies with consideration of artificial regulations in a sustainable manner.Xueting ZengShoujie ZhangTienan LiYong XueJinyong ZhaoYicheng FuJing ZhangCong ChenXiangming KongJunlong ZhangElsevierarticlerisk analysistwo-stage stochastic fuzzy (RTF) methodwetland reallocationnatural-artificial wetlandwater diversionEcologyQH540-549.5ENEcological Indicators, Vol 123, Iss , Pp 107342- (2021) |
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| topic |
risk analysis two-stage stochastic fuzzy (RTF) method wetland reallocation natural-artificial wetland water diversion Ecology QH540-549.5 |
| spellingShingle |
risk analysis two-stage stochastic fuzzy (RTF) method wetland reallocation natural-artificial wetland water diversion Ecology QH540-549.5 Xueting Zeng Shoujie Zhang Tienan Li Yong Xue Jinyong Zhao Yicheng Fu Jing Zhang Cong Chen Xiangming Kong Junlong Zhang A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| description |
In this study, a wetland reallocation (WR) plan based on water-indicator is designed to confront various ecological crisis and flood risks on Yonding River Floodplain, China, where converting farmland to wetland (CFW) and water diversion (WD) can be considered to balance the tradeoff between manual land utilization and wetland conservation. A risk-simulation based two-stage stochastic fuzzy (RTF) method is developed for handling multiple uncertainties in a WR issue, which cannot only map various risks (including water shortage, soil loss, flood and pollution) through Geographic Information System (GIS), but also deal with objective / subjective uncertainties in a two-stage context. Through risk-simulation, numbers of risk maps have been obtained based on various WD scenarios, which displayed that ecological risk would be the lowest when water diversion reached 200 x 106m3, while flooding risk would increase. Meanwhile, based on WR optimization, natural-artificial wetland reallocations would decrease ecological loss about US$ 0.92 x 106 at highest. Moreover, the optimized land utilizations under various CFW and WD scenarios have been obtained. This study is useful for policymakers of floodplain to adjust current land utilization strategies with consideration of artificial regulations in a sustainable manner. |
| format |
article |
| author |
Xueting Zeng Shoujie Zhang Tienan Li Yong Xue Jinyong Zhao Yicheng Fu Jing Zhang Cong Chen Xiangming Kong Junlong Zhang |
| author_facet |
Xueting Zeng Shoujie Zhang Tienan Li Yong Xue Jinyong Zhao Yicheng Fu Jing Zhang Cong Chen Xiangming Kong Junlong Zhang |
| author_sort |
Xueting Zeng |
| title |
A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| title_short |
A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| title_full |
A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| title_fullStr |
A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| title_full_unstemmed |
A risk-simulation based optimization model for wetland reallocation on Yongding floodplain, China |
| title_sort |
risk-simulation based optimization model for wetland reallocation on yongding floodplain, china |
| publisher |
Elsevier |
| publishDate |
2021 |
| url |
https://doaj.org/article/f7c03b2924b74a28b4fad7ae5bd2c637 |
| work_keys_str_mv |
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