基于DRASTIC模型的地下水脆弱性评价综合赋权研究
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摘要
地下水脆弱性研究对于地下水资源的配置和保护具有重要意义,其中评价指标的赋权是研究过程中非常关键的一步。针对传统DRASTIC模型评价指标权重分配方法存在的弊端,采用主观方法和客观方法相结合的形式对评价指标进行综合赋权。主观方法采用改进的三标度层次分析法,客观方法采用因子分析法。基于DRASTIC模型选取7种影响地下水脆弱性的评价指标,将提出的综合赋权方法用于云南省安宁市草铺片区地下水脆弱性评价,使用斯皮尔曼相关系数对评价结果进行验证,并将3种方法的评价结果进行对比,结果显示经过综合权重法计算后,研究区地下水脆弱性等级与氨氮浓度具有更高的相关性,相关系数达到0.604,表明综合赋权法在地下水脆弱性评价中具有一定的可靠性和科学性。
The assessment of groundwater vulnerability is of great significance to the allocation and protection of groundwater resources,and the weight distribution of indexes is a very critical step in the process of research. Aiming at the disadvantages of weight distribution method in traditional DRASTIC model,the subjective method and the objective method was combined to distribute weight to indexes in the DRASTIC model. The subjective method adopted the improved analytic hierarchy process(AHP) with the three scale standard,and the objective method adopted factor analysis. Based on the DRASTIC model,seven indexes affecting the vulnerability of groundwater were selected,and the method of combinated weight distribution was applied to the groundwater vulnerability assessment of the Caopu area in Anning,Yunnan Provinc. Finally the Spearman Rank Correlation Coefficient was used to indicate assessment results and then three methods were compared.The results showed that the groundwater vulnerability in the study area had a higher correlation with the concentration of ammonia nitrogen after the calculation by combinated weight,the correlation coefficient of which reached 0.604. It can be concluded that the combinated weight distribution method has a certain reliability and scientificity in the assessment of groundwater vulnerability.
The assessment of groundwater vulnerability is of great significance to the allocation and protection of groundwater resources,and the weight distribution of indexes is a very critical step in the process of research. Aiming at the disadvantages of weight distribution method in traditional DRASTIC model,the subjective method and the objective method was combined to distribute weight to indexes in the DRASTIC model. The subjective method adopted the improved analytic hierarchy process(AHP) with the three scale standard,and the objective method adopted factor analysis. Based on the DRASTIC model,seven indexes affecting the vulnerability of groundwater were selected,and the method of combinated weight distribution was applied to the groundwater vulnerability assessment of the Caopu area in Anning,Yunnan Provinc. Finally the Spearman Rank Correlation Coefficient was used to indicate assessment results and then three methods were compared.The results showed that the groundwater vulnerability in the study area had a higher correlation with the concentration of ammonia nitrogen after the calculation by combinated weight,the correlation coefficient of which reached 0.604. It can be concluded that the combinated weight distribution method has a certain reliability and scientificity in the assessment of groundwater vulnerability.
引文
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[22]吴开亚,金菊良.区域生态安全评价的熵组合权重属性识别模型[J].地理科学,2008,28(6):754-758.
[23]罗延龄,李发荣,李晓铭,等.安宁草铺地区环境污染特征分析研究[J].环境科学导刊,2014,33(4):29-44.
[24]吴建强,王敏,陈宇,等.平原河网地区地下水脆弱性评价体系构建及应用[J].生态环境学报,2017,26(11):1 821-1 828.
[25]王维琦,杜新强,吕航,等.基于GIS的DRASTIC模型评价延吉市河谷地区地下水脆弱性[J].节水灌溉,2013,(10):44-48.
[26]魏光琼.等级相关在综合评估法评标中的应用[J].工程建设与设计,2014,(9):156-160.
[27]李烨,李建民,潘涛.地下水氨氮污染及处理技术[J].环境工程,2011,(29):100-102.
[2]孙才志,潘俊.地下水脆弱性的概念、评价方法与研究前景[J].水科学进展,1999,10(4):444-449.
[3]姚文峰,张思聪,唐莉华,等.海河流域平原区地下水脆弱性评价[J].水力发电学报,2009,(1):113-118.
[4]乔萌萌,杨洁,周芮,等.基于DRASTIC模型的地下水脆弱性研究综述[J].苏州科技大学学报(工程技术版),2017,30(2):37-44.
[5] N C MONDAL,S ADIKE,V S SINGH,et al. Determining shallow aq-uifer vulnerability by the DRASTIC model and hydrochemistry in gra-nitic terrain,southern India[J]. Indian Academy of Sciences,2017,126(89):1-23.
[6]袁涛,韩宝平,路平,等.区域地下水脆弱性风险评价研究———以徐州市城区为例[J].节水灌溉,2013,(9):50-53.
[7]于向前,李云峰,赵一平,等.基于DRASTIC的地下水防污性能评价组合权重分配方法[J].地球与环境,2012,40(4):567-572.
[8] SAATY T L,BENNETT J P.A method of analytical hierarchies appliedto political candidacy[J].Behavioral Science,1997,22:237-245.
[9]郭昱.权重确定方法综述[J].农村经济与科技,2018,29(8):252-253.
[10] Kos S,Trebiina P.Using the AHP method to select an ERP systemfor an SME manufacturing company[J].Management and ProductionEngineering Review,2014,5(3):14-22.
[11] Socaciu L,Giurgiu O,Banyai D,et al. PCM selection using AHPmethod to maintain thermal comfort of the vehicle occupants[J].En-ergy Procedia,2016,85:489-497.
[12]左海凤,魏加华,王光谦.DRASTIC地下水防污性能评价因子赋权[J].水资源保护,2008,24(2):22-26.
[13]李绍飞,孙书洪,王勇.基于DRASTIC的含水层脆弱性模糊评价方法与应用[J].水文地质工程地质,2008,(3):112-117.
[14] Marina Bouzon,Kannan Govindan,Carlos M Taboada Rodriguez,etal. Identification and analysis of reverse logistics barriers using fuzzyDelphi method and AHP[J]. Resources,Conservation and Recy-cling,2016,108:182-197.
[15]杨开,王洪禧,刘俊良,等.水环境安全评价体系的指标赋权研究[J].环境科学与技术,2008,31(8):129-132.
[16]任胜兵,冯迪,陈潇男.基于最优一致性矩阵的灰色层次分析法研究[J].计算机工程与应用,2017,53(18):44-50.
[17]赵建军,贺宇航,黄润秋,等.基于因子分析法的边坡稳定性评价指标权重[J].西南交通大学学报,2015,50(2):325-330.
[18]张泰丽,冯小铭,刘红樱,等.基于DRASTIC的丽水市地下水防污性能评价[J].地球与环境,2012,40(1):115-120.
[19]雷静.地下水环境脆弱性的研究[D].北京:清华大学,2002.
[20]李静萍.多元统计分析-原理与基于SPSS的应用[M].北京:中国人民大学出版社,2015.
[21]郭晓晶,何倩,张冬梅,等.综合运用主客观方法确定科技评价指标权重[J].科技管理研究,2012,(20):64-71.
[22]吴开亚,金菊良.区域生态安全评价的熵组合权重属性识别模型[J].地理科学,2008,28(6):754-758.
[23]罗延龄,李发荣,李晓铭,等.安宁草铺地区环境污染特征分析研究[J].环境科学导刊,2014,33(4):29-44.
[24]吴建强,王敏,陈宇,等.平原河网地区地下水脆弱性评价体系构建及应用[J].生态环境学报,2017,26(11):1 821-1 828.
[25]王维琦,杜新强,吕航,等.基于GIS的DRASTIC模型评价延吉市河谷地区地下水脆弱性[J].节水灌溉,2013,(10):44-48.
[26]魏光琼.等级相关在综合评估法评标中的应用[J].工程建设与设计,2014,(9):156-160.
[27]李烨,李建民,潘涛.地下水氨氮污染及处理技术[J].环境工程,2011,(29):100-102.