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机构地区:[1]清华大学水文水资源研究所,水沙科学与水利水电工程国家重点实验室,北京100084
出 处:《环境科学》2010年第11期2619-2626,共8页Environmental Science
摘 要:提出了一种预报河段水体潜在污染的方法——河段潜在污染指数法(riversection potential pollution index,R-PPI),并在北京市山区3个典型小流域进行应用.河流水体污染是我国目前最为突出的水环境问题,在治理工作开展前需要确定重点污染河段、区域和污染源,而基于河流水质监测的水质评价方法难以确定重点污染源.因此引入了潜在非点源污染指数(potential non-point pollution index,PNPI)法,进行了土地利用类型扩展、土地利用分类比对和土壤渗透性分级3个方面改进,得到潜在污染指数(potential pollution index,PPI),并在此基础上建立了河段潜在污染指数法.通过在3个小流域的应用研究可知,该方法具有所需监测资料少、操作简单、便于确定重点污染源、综合性强等特点,可为流域污染治理提供科学指导.A new method named river section potential pollution index(R-PPI),which could forecast the influence of the potential pollution in river section was developed and applied in the three typical watersheds in mountainous area in Beijing.Water pollution is one of the most important water environment problems,and the administration needs to clear main polluted river section,area and pollution source.Assessment methods of river water quality based on water quality monitoring is hard to clear main pollution source.Based on potential non-point pollution index(PNPI),3 important improvements were made including extending land use types,matching land use types and dividing the soil permeability classes and the PPI and R-PPI was developed.The research on the application in three watersheds showed that R-PPI is a simple and comprehensive method.It needs less monitoring data and is easier to find main pollution source,which can offer scientific rule for watershed pollution control.
分 类 号:X143[环境科学与工程—环境科学]
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