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基于AHP-TOPSIS的土壤重金属污染修复植物适宜性评价

Suitability Evaluation of Restoration Plants on Soil Polluted by Heavy Metal Based on AHP-TOPSIS
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摘要 目的筛选出适应性强、处理效果好的植物,用于解决困扰重金属污染土壤植物修复的选种难题。方法应用层次分析法构建以生态适应性、技术可行性、经济可行性为准则、下含8个影响因素的指标体系,建立判断矩阵,并对其构造进行改进,通过逼近理想解的排序法筛选出最适合的修复植物;把该模型用于沈阳市某化工厂被重金属严重污染的土壤修复,对15种植物进行评价、筛选。结果构造的改进判断矩阵评价误差更小;通过计算发现,在污染土壤植物修复工程中,耐旱性是影响修复效果的主要因素;筛选结果表明,狼尾草等适合用于该场地的植物修复,接近度为0.838,去除率可达82%。结论该植物筛选模型能综合考虑各评价指标的影响,可以客观、准确地筛选出修复植物。 Restoration plants were studied on the remediation of heavy metals contaminated soil.An indexed system of restoration plant was built by analytic hierarchy process(AHP).Ecological adaptability,technical feasibility and economic feasibility as construction criteria,this system included eight influencing factors.Based on AHP,a judgment matrix was established and its construction was improved.And the most suitable remediation plants were selected through the weighted sorting method of approximating the ideal solution.This system was used to select restoration plants for the remediation of heavy metals contaminated soil in a chemical plant in Shenyang City.15 species of plants taken as screening objects,an improved judgment matrix with minor evaluation error was constructed.In the system drought tolerance is the main factor affecting the remediation effect in phytoremediation of contaminated soil by calculation.The results showed that,wolfsbane was the most suitable for phytoremediation at this site,with a proximity of 0.838 and the removal rate is 82%.It is concluded that the system could analyze the impact of each evaluation index and screen restoration plants objectively and accurately.
作者 潘俊 王兴作 PAN Jun;WANG Xingzuo(School of Municipal and Environmental Engineering,Shenyang Jianzhu University,Shenyang,China,110168)
出处 《沈阳建筑大学学报(自然科学版)》 CAS 北大核心 2024年第3期563-569,共7页 Journal of Shenyang Jianzhu University:Natural Science
基金 国家重点研发计划项目(2018YFC1801203)。
关键词 植物筛选数学模型 层次分析法 指标评价体系 逼近理想解的排序法 mathematical modeling of plant screening analytic hierarchy process indicator evaluation system ranking method for approximating ideal solutions
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