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An Optimization Model for a Wetland Restoration Project under Uncertainty
Baofeng Cai1, Yang Zhang2, Xianen Wang3
1College of Environment and Resources, Jilin University, Changchun 130012, China. 1357joe@163.com.
International Journal of Environmental Research and Public Health
|December 15, 2018
Summary
This study introduces Interval Linear Programming (ILP) for wetland restoration, optimizing investments for ecological and socio-economic benefits. The ILP model effectively reduces costs and enhances project outcomes, guiding decision-making for sustainable wetland conservation.
Area of Science:
- Environmental Science
- Ecological Restoration
- Operations Research
Background:
- Wetland restoration is crucial for human well-being and ecological balance.
- Existing restoration projects face challenges with investment optimization and uncertainty management.
- There is a need for advanced methods to improve the efficiency and effectiveness of wetland conservation initiatives.
Purpose of the Study:
- To introduce and apply the Interval Linear Programming (ILP) method to wetland restoration projects.
- To develop an optimization model that minimizes total investment while maximizing ecological and socio-economic benefits.
- To address and mitigate the impact of interval uncertainty in restoration planning.
Main Methods:
- Development of an optimization model using Interval Linear Programming (ILP).
- Integration of ecological and socio-economic benefit considerations into the model.
- Expression of solutions as interval numbers (upper and lower bounds) to manage uncertainty.
Main Results:
- The ILP optimization model demonstrated a potential cost reduction of 6.84%–15.43% compared to the original scheme.
- Optimal allocation patterns for restoration measures were identified, including specific planting areas for reeds and mixed forests.
- The model projected total project investments within the range of 2193.14 to 2416.01 (10⁴ CNY).
Conclusions:
- The ILP method is effective and valid for optimizing wetland restoration projects.
- Achieving higher ecological and social benefits with lower investment is feasible through optimal measure allocation.
- The interval solutions provide practical guidance for project managers to select appropriate decision-making plans based on practical conditions.
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