Suppr超能文献

[地下水污染风险评估中典型污染物的定量方法]

[Quantitative method of representative contaminants in groundwater pollution risk assessment].

作者信息

Wang Jun-Jie, He Jiang-Tao, Lu Yan, Liu Li-Ya, Zhang Xiao-Liang

机构信息

Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.

出版信息

Huan Jing Ke Xue. 2012 Mar;33(3):771-6.

Abstract

In the light of the problem that stress vulnerability assessment in groundwater pollution risk assessment is lack of an effective quantitative system, a new system was proposed based on representative contaminants and corresponding emission quantities through the analysis of groundwater pollution sources. And quantitative method of the representative contaminants in this system was established by analyzing the three properties of representative contaminants and determining the research emphasis using analytic hierarchy process. The method had been applied to the assessment of Beijing groundwater pollution risk. The results demonstrated that the representative contaminants hazards greatly depended on different research emphasizes. There were also differences between the sequence of three representative contaminants hazards and their corresponding properties. It suggested that subjective tendency of the research emphasis had a decisive impact on calculation results. In addition, by the means of sequence to normalize the three properties and to unify the quantified properties results would zoom in or out of the relative properties characteristic of different representative contaminants.

摘要

鉴于地下水污染风险评估中压力脆弱性评估缺乏有效的定量系统这一问题,通过对地下水污染源的分析,基于代表性污染物及其相应排放量提出了一种新的系统。并通过分析代表性污染物的三个属性,利用层次分析法确定研究重点,建立了该系统中代表性污染物的定量方法。该方法已应用于北京地下水污染风险评估。结果表明,代表性污染物的危害很大程度上取决于不同的研究重点。三种代表性污染物危害顺序与其相应属性之间也存在差异。这表明研究重点的主观倾向对计算结果有决定性影响。此外,通过对三个属性进行排序归一化并统一量化属性结果,会放大或缩小不同代表性污染物的相对属性特征。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验