A Statistical Assessment of the Impact of Agricultural Land Use Intensity on Regional Surface Water Quality at Multiple Scales

被引:29
|
作者
Zhang, Weiwei [1 ]
Li, Hong [1 ]
Sun, Danfeng [2 ]
Zhou, Liandi [1 ]
机构
[1] Beijing Acad Agr & Forestry Sci, Inst Agr Integrated Dev, Beijing 100097, Peoples R China
[2] China Agr Univ, Coll Nat Resources & Environm Sci, Beijing 100094, Peoples R China
基金
北京市自然科学基金;
关键词
agricultural land use intensity; water quality; multi-scale; linear regression; NONPOINT-SOURCE POLLUTION; RIVER-BASIN; MANAGEMENT; CATCHMENT; COVER; AREA; GIS;
D O I
10.3390/ijerph9114170
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the effects of intensive agricultural land use activities on water resources is essential for natural resource management and environmental improvement. In this paper, multi-scale nested watersheds were delineated and the relationships between two representative water quality indexes and agricultural land use intensity were assessed and quantified for the year 2000 using multi-scale regression analysis. The results show that the log-transformed nitrate-nitrogen (NO3-N) index exhibited a relationship with chemical fertilizer input intensity and several natural factors, including soil loss, rainfall and sunlight at the first order watershed scale, while permanganate index (CODMn) had a positive relationship with another two input intensities of pesticides and agricultural plastic mulch and organic manure at the fifth order watershed scale. The first order watershed and the fifth order watershed were considered as the watershed adaptive response units for NO3-N and CODMn, respectively. The adjustment of agricultural input and its intensity may be carried out inside the individual watershed adaptive response unit. The multiple linear regression model demonstrated the cause-and-effect relationship between agricultural land use intensity and stream water quality at multiple scales, which is an important factor for the maintenance of stream water quality.
引用
收藏
页码:4170 / 4186
页数:17
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