Linear programming Monte Carlo method based on remote sensing for ecological restoration of degraded ecosystem

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Sun, Ling^1 ; Zhu, Zesheng^2

JiangSu Academy of Agricultural Sciences, Nanjing

210014, China^1

Naval Command College, Nanjing

210016, China^2

关键词: Decision variables;    Degraded ecosystems;    Ecological restoration;    Objective functions;    Optimal restoration;    Optimal solutions;    Practical problems;    Robust optimal solutions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/2/012041/pdf
DOI  :  10.1088/1755-1315/295/2/012041

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

A linear programming Monte Carlo method (LPMC) is proposed to achieve the optimal restoration of the whole degraded coastal wetland ecosystem, i. e. the minimum restoration cost, in the case of uncertain ecological restoration costs of different degraded coastal wetlands. LPMC can comprehensively and systematically complete the dynamic analysis of coastal wetland ecosystem restoration cost, including the uncertainty analysis of ecological restoration cost and the screening of equivalent robust solutions. The applicability of this method is demonstrated by solving a practical problem of ecological restoration of coastal wetlands. The results show that this method can generate the robust optimal solution block for the globally optimal objective function and decision variables under the condition of restoring cost uncertainty, including a variety of optimal solutions adapted to the different needs.