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

文献类型： 外文期刊

作者： Sun, Ling 1 ; Zhu, Zesheng 2 ;

作者机构： 1.JiangSu Acad Agr Sci, Nanjing 210014, Jiangsu, Peoples R China

2.Naval Command Coll, Nanjing 210016, Jiangsu, Peoples R China

期刊名称：2019 5TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING

ISSN： 1755-1307

年卷期： 2019 年 295 卷

页码：

收录情况： SCI

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.

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