An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty

•An export coefficient based bi-level optimization model was developed.•The model can reflect the dual-level structure of a system.•Cooperation and gaming relationship between the decision makers can be considered.•The model can deal with uncertainties associated with agricultural system.•The model...

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Vydáno v:Journal of hydrology (Amsterdam) Ročník 557; s. 713 - 725
Hlavní autoři: Cai, Yanpeng, Rong, Qiangqiang, Yang, Zhifeng, Yue, Wencong, Tan, Qian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.2018
Témata:
Agricultural nonpoint source pollution
Bi-level multi-objective programming
China
decision making
Export coefficient model
Fuzzy sets
hydrology
Intervals
land use
nonpoint source pollution
Optimization management
pollutants
streams
subwatersheds
uncertainty
China
Intervals
Fuzzy sets
Optimization management
Bi-level multi-objective programming
Agricultural nonpoint source pollution
Export coefficient model
ISSN:0022-1694, 1879-2707
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Shrnutí:•An export coefficient based bi-level optimization model was developed.•The model can reflect the dual-level structure of a system.•Cooperation and gaming relationship between the decision makers can be considered.•The model can deal with uncertainties associated with agricultural system.•The model can be utilized to support freshwater and environmental management. In this research, an export coefficient based inexact fuzzy bi-level multi-objective programming (EC-IFBLMOP) model was developed through integrating export coefficient model (ECM), interval parameter programming (IPP) and fuzzy parameter programming (FPP) within a bi-level multi-objective programming framework. The proposed EC-IFBLMOP model can effectively deal with the multiple uncertainties expressed as discrete intervals and fuzzy membership functions. Also, the complexities in agricultural systems, such as the cooperation and gaming relationship between the decision makers at different levels, can be fully considered in the model. The developed model was then applied to identify the optimal land use patterns and BMP implementing levels for agricultural nonpoint source (NPS) pollution management in a subcatchment in the upper stream watershed of the Miyun Reservoir in north China. The results of the model showed that the desired optimal land use patterns and implementing levels of best management of practices (BMPs) would be obtained. It is the gaming result between the upper- and lower-level decision makers, when the allowable discharge amounts of NPS pollutants were limited. Moreover, results corresponding to different decision scenarios could provide a set of decision alternatives for the upper- and lower-level decision makers to identify the most appropriate management strategy. The model has a good applicability and can be effectively utilized for agricultural NPS pollution management.
Bibliografie:ObjectType-Article-1
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ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2017.12.067