基于主客观赋权法的近海海砂开采适宜性评价OA北大核心CSTPCD
Suitability evaluation of offshore sea sand mining based on subjective and objective weighting method
随着中国经济高速发展,砂石资源的需求量逐年攀升,在种类诸多的砂石资源中海砂以其储量丰富、用途广泛的特点在建筑业、化工业等领域被广为使用.然而近年来,海砂行业发展中存在诸多粗放式的问题,不合理的开采不仅导致国有资源的大量流失,更是引发一系列环境问题.因而,在探明海砂资源后,开展海砂开采适宜性评价十分必要.本文将污染影响、社会因素、开发难度、海岸影响、海底斜坡稳定性作为评价指标,采用主观赋权法(层次分析法)与客观赋权法(结构熵权法)分别计算指标权重,通过博弈理论将二者结合,得到指标的组合权重;然后采用自然断点法对赋权后的各因子图层进行叠加分析,得到海砂开采适宜性分区图,并对广东省近海海域进行实例分析.
With the rapid development of China's economy,the demand for sand and gravel resources is increas-ing year by year.Among the many kinds of sand and gravel resources,sea sand is widely used in the construction industry,chemical industry and other fields because of its rich reserves and wide use.However,in recent years,there are many extensive problems in the development of the sea sand industry.Unreasonable mining not only leads to a large loss of state-owned resources,but also causes a series of environmental problems.After ascertain-ing the sea sand resources,in order to determine whether the sea sand is suitable for mining,this paper takes pollu-tion impact,social factors,development difficulty,coastal impact and submarine slope stability as evaluation in-dexes,and uses subjective weighting method(analytic hierarchy process)and objective weighting method(struc-tural entropy weight method)to calculate the index weight respectively.Through the game theory,the two are combined to obtain the combined weight of the index,and the natural breakpoint method is used for superposition analysis to obtain the sea sand mining suitability zoning map,and the offshore sea area of Guangdong Province is analyzed as an example,and the scientificity and rationality of the evaluation results are verified in combination with the actual sand mining project.
程慧;钟金香;周圆;艾波;冯文君
山东科技大学测绘与空间信息学院,青岛 266590广东省海洋发展规划研究中心,广州 510000青岛阅海信息服务有限公司,青岛 266590
海洋学
海砂开采适宜性评价层次分析法结构熵权法博弈理论
sea sand miningevaluation of suitabilityanalytic hierarchy processstructural entropy weight meth-odgame theory
《海洋地质前沿》 2024 (006)
53-61 / 9
国家自然科学基金面上项目(62071279);山东科技大学科研创新团队支持计划(2019TDJH103)
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