首页 | 本学科首页   官方微博 | 高级检索  
     

基于L-THIA模型的密云水库地区非点源污染空间分布特征
引用本文:沈涛,刘良云,马金峰,李存军,王纪华. 基于L-THIA模型的密云水库地区非点源污染空间分布特征[J]. 农业工程学报, 2007, 23(5): 62-68
作者姓名:沈涛  刘良云  马金峰  李存军  王纪华
作者单位:北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,遥感科学国家重点实验室,环境遥感与数字城市北京市重点实验室,北京,100875;国家农业信息化工程技术研究中心,北京,100089;国家农业信息化工程技术研究中心,北京,100089
基金项目:农业部农业面源污染信息系统与监测预警项目;北京市自然科学基金
摘    要:农业生产营养物质的输出是造成水环境污染的重要原因之一。该文以北京密云水库周边地区为研究区域,基于土地利用、土壤以及降水等下垫面信息,利用长期水文影响评价(The Long-Term Hydrologic Impact Assessment,L-THIA)模型,估算研究区内污染物的长期平均输出负荷,并分析其空间分布特征。研究结果表明:不同土地利用类型的污染物输出负荷是不同的,其中以农用地对研究区内非点源污染的影响最大。结果表明,在流域规划和管理中使用L-THIA模型分析农业非点源污染的空间分布是可行的。

关 键 词:L-THIA模型  非点源污染  土地利用
文章编号:1002-6819(2007)5-0062-07
收稿时间:2006-10-26
修稿时间:2006-10-262007-05-12

Spatial distribution characteristics of non-point pollution of Miyun reservoir areas based on L-THIA model
Shen Tao,Liu Liangyun,Ma Jinfeng,Li Cunjun and Wang Jihua. Spatial distribution characteristics of non-point pollution of Miyun reservoir areas based on L-THIA model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(5): 62-68
Authors:Shen Tao  Liu Liangyun  Ma Jinfeng  Li Cunjun  Wang Jihua
Affiliation:Research Center for Remote Sensing and Geographic Information System, College of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China;National Engineering Research Center for Information Technology in Agriculture, Beijing;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China;Research Center for Remote Sensing and Geographic Information System, College of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China;National Engineering Research Center for Information Technology in Agriculture, Beijing;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China
Abstract:The output of agricultural nutritive substance is the one of main cause for water environment pollution. Taking Miyun reservoir in Beijing as study area, combined with the land use, soil and precipitation data, under the support of the GIS and RS technology, the long-term average pollution loads in study area were estimated using the Long-Term Hydrologic Impact Assessment(L-THIA) model. The spatial distribution of the pollution loads was analyzed. Results indicate that the pollution loads are different under different land use types, and the agricultural land has the most important impact on non-point pollution in the study area. The result of this research shows that L-THIA model is available for the spatial distribution of non-point pollution and it can provide the service for planning and management of the watershed.
Keywords:L-THIA model   non-point pollution   land use
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号