自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
不同土地利用情景下巢湖杭埠—丰乐河流域非点源污染研究
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陈健1,2,刘云慧3,宇振荣3*
(1 浙江省森林生态系统碳循环与固碳减排重点实验室; 2 浙江农林大学 国际生态中心, 浙江 临安 311300; 3 中国农业大学 资源与环境学院,北京 100094)
陈健,男,博士,主要从事农业资源研究.E-mail:chenjian@126.com.
摘要:
运用GIS与SWAT相结合的技术手段,开展了杭埠—丰乐河子流域2001—2008年不同土地利用情景下非点源污染的时空分布特征及土地利用与非点源污染间关系的研究.结果表明:在所有的土地利用类型中,对于非点源污染量起决定作用的是耕地面积;1995年、2000年、2008年3种土地利用情景下耕地面积的变化趋势与吸附态氮、溶解态氮和吸附态磷的变化趋势一致,而水田面积变化趋势与溶解态磷的变化趋势一致.结合土地利用的空间分布来看,无论是吸附态或者溶解态的氮、磷,农田的负荷均明显高于林地的负荷.随着流域林地面积的增加,流域径流深逐渐减小,水土流失量逐渐减少,从而使得流域产沙量和非点源负荷也相应减少.
关键词:
巢湖流域; 土地利用/覆被; 非点源污染; SWAT模型
收稿日期:
2010-07-09
中图分类号:
X52
文献标识码:
A
文章编号:
1672-4291(2011)04-0086-05
基金项目:
国家科技支撑计划项目(2007BAD87B01-1A); 浙江农林大学科研启动基金资助项目(2351000768).
Doi:
Non-pollution of the Hangbu-Fengle River basin in Chaohu under different land use scenarios
CHEN Jian1,2, LIU Yun-hui3, YU Zhen-rong3*
(1 Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration; 2 International Research Center of Spatial Ecology, Zhejiang Agriculture & Forestry University, Lin′an 311300, Zhejiang, China; 3 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100094, China)
Abstract:
GIS tools and SWAT model were used to study the spatial-temporal distribution of non-point source pollution in the study. Through quantitative analysis of the non-point pollution load of different land use scenarios, the relationship between land use and non-point source pollution was discussed. The results showed that the area of cultivated land play a key role in determination of the load of non-point source pollution in the sub-watershed. Area of arable land is consistent with the amount of the total load of nitrogen and adsorptive load of phosphorus in the three different land use scenarios (1995, 2000 and 2008). The non-point source pollution load of farmland is significantly higher than that of the woodland. With the increase of forest area in the watershed, the depth of runoff and the amount of soil and water loss decreased gradually, sediment yields of the watershed and the pollution load also decreased.
KeyWords:
Chaohu River basin; land use/cover; non-point pollution; SWAT model