Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints

In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chanc...

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Vydáno v:Land (Basel) Ročník 12; číslo 5; s. 1099
Hlavní autoři: Qiu, Bingkui, Tu, Yan, Ou, Guoliang, Zhou, Min, Zhu, Yifan, Liu, Shuhan, Ma, Haoyang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 20.05.2023
Témata:
Algorithms
Biodiversity
China
Decision making
Economic development
Ecosystems
Environmental economics
Environmental impact
environmental protection
Fuzzy algorithms
Fuzzy logic
Fuzzy sets
Fuzzy systems
interval fuzzy chance model
Lake basins
land
Land management
Land use
Land use management
Land use planning
Linear programming
Managers
Mathematical models
Mathematical optimization
Methods
Monte Carlo simulation
Nansi Lake Basin
Optimization
Planning
Probability theory
River basins
rivers
socioeconomic development
Sustainable development
sustainable land management
Sustainable use
system optimization
uncertainty
Watersheds
China
ISSN:2073-445X, 2073-445X
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Shrnutí:In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chance constraint programming which can cope with uncertain problems such as interval value, fuzzy set and probability. In this paper, the uncertain mathematical method is explored and studied in the optimal allocation of land use in the next two planning periods of Nansihu Lake Basin in China. Moreover, it was proved that ISFCL-LUP can deal with the uncertainty of interval, membership function and probability representation and can also be used to solve the land use planning and land use strategy analysis under uncertain conditions. On the basis of model calculations, we obtained the optimal allocation results for six types of land use in four regions over two planning periods based on different environmental constraints. The results show that the optimized λ value (that is, the degree of satisfaction with all the model conditions) is in the range of [0.54, 0.79] and the corresponding system benefits are between [18.4, 20.4] × 1012 RMB and [96.7, 109.3] × 1012 RMB. The results indicate that land managers can make judgments based on the different socio-economic development needs of different regions and determine strategic land use allocation plans under uncertain conditions. At the same time, the model obtained interval solutions under different system satisfaction and constraint violation probabilities, which helps land managers to analyze the importance of land system optimization and sustainable development more deeply.
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ISSN:2073-445X
2073-445X
DOI:10.3390/land12051099