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Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model
Complexity ( IF 1.7 ) Pub Date : 2020-11-12 , DOI: 10.1155/2020/9394639
Hui An 1 , Wenjing Yang 2 , Jin Huang 3 , Ai Huang 2 , Zhongchi Wan 3 , Min An 3
Affiliation  

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

中文翻译:

用粗糙集和投影寻踪模型识别和评估水电项目的多维社会影响

为了实现水电项目与区域社会的协调可持续发展,全面评估水电项目的影响至关重要。通常,水电项目的发展会对环境地质以及社会和区域文化的发展产生影响。综合考虑复杂的地质条件,脆弱的生态环境,库区移民安置以及各国未来水电开发的其他因素,我们构建了水电项目综合评价指标体系,其中包括社会经济四个一级指标。 ,环境,安全和公平,其中包含26个二级指标。为了解决现有模型无法评估动态非线性优化的问题,利用粗糙集约简理论建立了投影追踪模型,简化了指标。然后,采用基于实数编码的加速遗传算法求解该模型,并以Y水电站为例进行了实证研究。评估结果表明,本文构建的评估指标体系和评估模型有效降低了指标权重的主观性。将我们的模型应用到相关国际水电项目的社会影响评价中,不仅可以对水电项目的社会影响进行综合分析,而且可以识别重要的社会影响因素,并有效地分析各个维度的社会影响水平。此外,SIA评估可有助于项目决策,避免社会风险和社会稳定。
更新日期:2020-11-12
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