改进AHP-DRASTIC模型用于地下水U(Ⅵ)污染风险评价及回归分析  被引量:3

RISK ASSESSMENT OF U(Ⅵ ) POLLUTION TO GROUNDWATER BASED ON MODIFIED AHP-DRASTIC MODEL AND ANALYSIS OF THE LINEAR REGRESSION

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作  者:周书葵[1] 江海浩 陈朝猛[2] 刘迎九[1] 邓文静[1] 方良[1] 康丽[1] 

机构地区:[1]南华大学城市建设学院,湖南衡阳421001 [2]南华大学环境保护与安全工程学院,湖南衡阳421001

出  处:《环境工程》2016年第1期130-134,共5页Environmental Engineering

基  金:国家自然科学基金资助课题(51174117)

摘  要:以某铀尾矿库为例,应用层次分析法(AHP)对DRASTIC进行了改进,并增加两个新的指标,得出改进后的AHPDRASTICLL模型。分别采用常规DRASTIC模型、改进DRASTICLL模型、AHP-DRASTICLL模型对某铀尾矿库区地下水受U(Ⅵ )污染风险进行了评价。结果表明:尾矿库周围与砂卵砾石层区风险较高,丘陵地带风险较低。采集监测井U(Ⅵ )浓度样本数据,与3个模型标准化综合评分值建立线性回归关系,常规DRASTIC模型相关系数R2=0.7795;改进DRASTICLL模型相关系数R2=0.8278;AHP-DRASTICLL模型相关系数R2=0.8581。分析结果表明AHPDRASTICLL模型能更加准确地反映地下水受污染的可能性。Regarding a uranium tailings as the study case,analytic hierarchy process was used to modify the DRASTIC model and established the AHP-DRASTICLL model by adding two new indicators. DRASTIC model,modified DRASTICLL model,modified AHP-DRASTICLL model were adopted to evaluate U(Ⅵ ) pollution to groundwater. The results showed that the risk around the tailing and the gravel-sand were high,and the hilly land was low. The water samples were taken from these monitoring wells. Simple linear regression analysis was made for determination of the statistical relation between U(Ⅵ )concentration of groundwater and aquifer vulnerability. The R2 value of DRASTIC method was 0. 7795,and the modifiedDRASTICLL method was 0. 8278. The modified-AHP-DRASTICLL method was found to have higher accuracy than the other methods,the highest R2 value of 0. 8581. The results showed the modified-AHP-DRASTICLL method could more accurately reflect the possibility of contaminated groundwater.

关 键 词:DRASTIC模型 层次分析法 U(Ⅵ ) 地下水 回归分析 

分 类 号:X824[环境科学与工程—环境工程]

 

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