河流水质污染水平综合评价方法研究—以沈阳白塔堡河为例
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- 英文论文题名：A comprehensive assessment method for river water quality——Taking Baitabu River in Shenyang as an example
- 论文作者：耿瑞 ; 彭剑峰 ; 宋永会 ; 唐小雨 ; 袁林江
- 英文论文作者：Geng Rui ; Peng Jianfeng ; Song Yonghui ; Tang Xiaoyu ; Yuan Linjiang ; Department of Urban Water Environmental Research ; Chinese Research Academy of Environmental Sciences ; College of Municipal and environmental engineering ; Xi'an University of Architecture and Technology
- 年：2013
- 作者机构：中国环境科学研究院城市水环境科技创新基地;西安建筑科技大学环境与市政工程学院;
- 论文关键词：白塔堡河 ; 物元 ; 评价指标 ; 水质等级 ; 变异系数
- 英文论文关键词：Baitabuhe river ; matter-element ; evaluation indicator ; water quality grade ; Variation coefficient
- 会议召开时间：2013-12-26
- 会议录名称：2013年水资源生态保护与水污染控制研讨会论文集
- 语种：中文
- 分类号：X824
- 学会代码：HJKP
- 会议名称：2013年水资源生态保护与水污染控制研讨会
- 会议地点：中国黑龙江哈尔滨
- 主办单位：中国环境科学学会、环境保护部环境规划院、哈尔滨工业大学、哈尔滨师范大学、中国科学院南京地理与湖泊研究所
- 学会名称：中国环境科学学会
- 页数：11
- 文件大小：1285k
- 原文格式：D
- 会议级别：全国
摘要
运用物元分析模型对白塔堡河2013年干支流36个监测点进行水质评价,以事物、特征及其量值为物元,建立水质评价物元模型;根据地表水等级标准和实测数据建立水质评估矩阵,通过变异系数法确定各评价因子权重,计算出河流水质污染水平等级。研究结果表明:沈阳市白塔堡河36个采样点水质级别基本属于Ⅲ~Ⅴ类水,整个河流可大致分为3个河段,即农村带、城镇带、城市带,水污染水平由农村带、城镇带、城市带依次逐渐升高。农村带基本属于Ⅲ类下限,城镇带基本属于Ⅲ类,城市带基本接近Ⅳ类水。
By using matter-element analysis model, the comprehensive water quality of Baitabu River was assessed based on 36 monitoring point distributing in the main stream and tributary in 2013. The matter-element model for water quality assessment is established with things, characteristic and value as matter-element. According to the Environmental quality standards for surface water and the measured data,a water quality assessment matrix is built. Then the value of weight factor is determined through variation coefficient, and the overall water quality grade of a river can be calculated. The results show that the water quality grade of 36 monitoring point from Baitabuhe River is Ⅲ~Ⅴ, and the river can be divided into three section:Rural region、Town region、Urban region. Their water quality was polluted gradually in turn. For example, the water quality grade of rural region was Ⅲ level but near to II level, that of Town region is Ⅲlevel. The urban region is fundamental Ⅲ upper limit Close to Ⅳ.
By using matter-element analysis model, the comprehensive water quality of Baitabu River was assessed based on 36 monitoring point distributing in the main stream and tributary in 2013. The matter-element model for water quality assessment is established with things, characteristic and value as matter-element. According to the Environmental quality standards for surface water and the measured data,a water quality assessment matrix is built. Then the value of weight factor is determined through variation coefficient, and the overall water quality grade of a river can be calculated. The results show that the water quality grade of 36 monitoring point from Baitabuhe River is Ⅲ~Ⅴ, and the river can be divided into three section:Rural region、Town region、Urban region. Their water quality was polluted gradually in turn. For example, the water quality grade of rural region was Ⅲ level but near to II level, that of Town region is Ⅲlevel. The urban region is fundamental Ⅲ upper limit Close to Ⅳ.
引文
[1]王丽伟等,黄河三门峡至高村河段入河排污状况调查研究.人民黄河,2007.29(12):第45-46页.
[2]Singh,K.P.,et al.,Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River(India)—a case study.Water Research,2004.38(18):p.3980-3992.
[3]Singh,K.P.,A.Malik and S.Sinha,Water quality assessment and apportionment of pollution sources of Gomti river(India)using multivariate statistical techniques—a case study.Analytica Chimica Acta,2005.538(1):p.355-374.
[4]Chun-rong,J.and Z.Jun,Based on Fuzzy Weight Matter Element to Evaluate the Water Quality of Jialing River in Nanchong,China.Procedia Environmental Sciences,2011.11,Part B:p.631-636.
[5]尹海龙与徐祖信,河流综合水质评价方法比较研究[J].长江流域资源与环境,2008.17(5):第729-733页.
[6]朱冬楠等,改进模糊物元模型在湖泊水质评价中的应用.人民黄河,2010.32(012):第127-128页.
[7]曾永等,水质模糊综合评价法与单因子指数评价法比较[J].人民黄河,2007.29(2):第64-65页.
[8]庞振凌等,层次分析法对南水北调中线水源区的水质评价.生态学报,2008.28(4):第1810-1819页.
[9]陈守煜与李亚伟,基于模糊人工神经网络识别的水质评价模型.水科学进展,2005.16(1):第88-91页.
[10]刘坤等,模糊概率神经网络模型在水质评价中的应用.水文,2007.27(1):第36-39页.
[11]金菊良,魏一鸣与丁晶,水质综合评价的投影寻踪模型.环境科学学报,2001.21(4):第431-434页.
[12]樊引琴等,物元分析法在黄河水质评价中的应用.水资源与水工程学报,2013(02):第166-169页.
[13]席北斗等,基于模糊权物元理论的地下水水质评价模型构建及应用.环境工程学报,2009.3(2):第381-384页.
[14]朱伟等,城市河流水环境综合评价方法探讨[J].水科学进展,2007.18(5):第736-744页.
[15]杨楠等,白塔堡河上覆水与沉积物间隙水N,P分布特征.环境科学研究,2013.26(7):第728-735页.
[16]魏复盛,国家环境保护总局与水和废水监测分析方法编委会,水和废水监测分析方法.2002:中国环境科学出版社.
[17]张龙云与曹升乐,基于变异系数的水安全评价模糊物元模型.灌溉排水学报,2007.1.
[18]徐建新与闫旖君,基于变异系数法的灰色关联决策模型在城市供水方案优选中的应用[J].水资源与水工程学报,2007.18(4):第9-11页.
[19]Liu,D.and Z.Zou,Water quality evaluation based on improved fuzzy matter-element method.Journal of Environmental Sciences,2012.24(7):p.1210-1216.
[20]陈南祥与汤泽,基于物元可拓法对郑州市地表水水质评价.水利与建筑工程学报,2013(2):第42-45页.
[21]蒋慧云等,水质评价的物元分析模型.广东农业科学,2012.39(2):第148-150页.
[2]Singh,K.P.,et al.,Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River(India)—a case study.Water Research,2004.38(18):p.3980-3992.
[3]Singh,K.P.,A.Malik and S.Sinha,Water quality assessment and apportionment of pollution sources of Gomti river(India)using multivariate statistical techniques—a case study.Analytica Chimica Acta,2005.538(1):p.355-374.
[4]Chun-rong,J.and Z.Jun,Based on Fuzzy Weight Matter Element to Evaluate the Water Quality of Jialing River in Nanchong,China.Procedia Environmental Sciences,2011.11,Part B:p.631-636.
[5]尹海龙与徐祖信,河流综合水质评价方法比较研究[J].长江流域资源与环境,2008.17(5):第729-733页.
[6]朱冬楠等,改进模糊物元模型在湖泊水质评价中的应用.人民黄河,2010.32(012):第127-128页.
[7]曾永等,水质模糊综合评价法与单因子指数评价法比较[J].人民黄河,2007.29(2):第64-65页.
[8]庞振凌等,层次分析法对南水北调中线水源区的水质评价.生态学报,2008.28(4):第1810-1819页.
[9]陈守煜与李亚伟,基于模糊人工神经网络识别的水质评价模型.水科学进展,2005.16(1):第88-91页.
[10]刘坤等,模糊概率神经网络模型在水质评价中的应用.水文,2007.27(1):第36-39页.
[11]金菊良,魏一鸣与丁晶,水质综合评价的投影寻踪模型.环境科学学报,2001.21(4):第431-434页.
[12]樊引琴等,物元分析法在黄河水质评价中的应用.水资源与水工程学报,2013(02):第166-169页.
[13]席北斗等,基于模糊权物元理论的地下水水质评价模型构建及应用.环境工程学报,2009.3(2):第381-384页.
[14]朱伟等,城市河流水环境综合评价方法探讨[J].水科学进展,2007.18(5):第736-744页.
[15]杨楠等,白塔堡河上覆水与沉积物间隙水N,P分布特征.环境科学研究,2013.26(7):第728-735页.
[16]魏复盛,国家环境保护总局与水和废水监测分析方法编委会,水和废水监测分析方法.2002:中国环境科学出版社.
[17]张龙云与曹升乐,基于变异系数的水安全评价模糊物元模型.灌溉排水学报,2007.1.
[18]徐建新与闫旖君,基于变异系数法的灰色关联决策模型在城市供水方案优选中的应用[J].水资源与水工程学报,2007.18(4):第9-11页.
[19]Liu,D.and Z.Zou,Water quality evaluation based on improved fuzzy matter-element method.Journal of Environmental Sciences,2012.24(7):p.1210-1216.
[20]陈南祥与汤泽,基于物元可拓法对郑州市地表水水质评价.水利与建筑工程学报,2013(2):第42-45页.
[21]蒋慧云等,水质评价的物元分析模型.广东农业科学,2012.39(2):第148-150页.