[1]刘楠,谢永生,索改弟,等.基于GIS和MUSLE的东北沟小流域非点源污染关键区识别[J].水土保持研究,2014,21(02):123-126.
　LIU Nan,XIE Yong-sheng,SUO Gai-di,et al.Identification of Critical Non-point Source Pollution Areas in Dongbeigou Watershed Based on GIS and MUSLE[J].Research of Soil and Water Conservation,2014,21(02):123-126.
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基于GIS和MUSLE的东北沟小流域非点源污染关键区识别

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 21 期数: 2014年02期 页码: 123-126 栏目: 出版日期: 2014-04-28
Title:
Identification of Critical Non-point Source Pollution Areas in Dongbeigou Watershed Based on GIS and MUSLE
作者:
刘楠1, 谢永生1,2, 索改弟1, 景民晓1, 陈磊2
1. 西北农林科技大学 资源环境学院, 陕西 杨凌 712100;
2. 中国科学院 水利部 水土保持研究所, 陕西 杨凌 712100
Author(s):
LIU Nan1, XIE Yong-sheng1,2, SUO Gai-di1, JING Min-xiao1, CHEN Lei2
1. Northwest A & F University, Yangling, Shaanxi 712100, China;
2. Institute of Soil and Water Conservation, Chinese Academy of Science and Ministry of Water Resources, Yangling, Shaanxi 712100, China
关键词:
非点源污染; 关键区; GIS; MUSLE
Keywords:
non-point pollution; critical areas; GIS; MUSLE
分类号:
X171.5;TP79
摘要:
以河北省平泉县东北沟小流域DEM、土地利用类型和土壤调查数据为基础，在地理信息系统（GIS）的支持下，运用修正的通用土壤流失方程（MUSLE）对研究区非点源污染进行关键区识别及分级。结果表明：关键区按所占面积从大到小依次为低风险关键区、高风险关键区和中风险关键区，且各区主要沿水域分布。关键区中农业用地占到了流域农业用地总面积的37.3%，而随着风险等级的提高，关键区中农业用地所占比例显著增加。研究区非点源污染的主要来源是沿水域分布的农业用地，与实际情况吻合，研究结果能为研究区非点源污染治理提供科学指导和理论支持。将GIS与MUSLE模型相结合能够快速识别非点源污染关键区，该方法科学有效，具有很强的适用性。
Abstract:
Based on DEM and the survey data of land use and soil of Dongbeigou watershed, this paper combined GIS and MUSLE model to identify the critical non-point source pollution areas, and then graded the areas. The results showed that: (1) in descending order, the critical areas were ranged as low risk area, high risk area and moderate risk area. The critical areas mainly distributed along the river; (2) among the critical areas, the agricultural land took 37.3 percent of total agricultural land in the watershed, the proportion of the agricultural land increased significantly as the risk level upgraded, the agricultural lands distributing along the river were the main sources of the pollution, which was in accord with actual situation. The result can provide the basis for further pollution control. Combined with GIS technology, MUSLE model can rapidly identify the critical non-point source pollution areas. This method is scientific and reasonable, and it is of strong adaptability.

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备注/Memo

收稿日期:2013-06-10;改回日期:2013-09-02。
基金项目:国家科技支撑计划课题“农田水土保持工程与耕作关键技术研究”（2011BAD31B01）；水利部公益性行业科研专项“工程开挖面与堆积体水土流失测算技术研究”（201201048）；“风力作用下扰动地表侵蚀预报关键技术研究”（201201047）
作者简介:刘楠(1989-),男,河北石家庄人,硕士研究生,主要从事GIS在环境监测与评价中的应用。E-mail:freestyleconan@nwsuaf.edu.cn
通讯作者:谢永生(1960-),男,河南开封人,研究员,主要从事环境评价、水土保持及土地资源等方面研究。Email:ysxie@ms.iswc.ac.cn

更新日期/Last Update: 1900-01-01