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当前位置: 首页 > 文章 > 基于GIS的九龙江流域农业非点源氮磷负荷估算研究 农业环境科学学报 2004,23 (05) 35-40
Position: Home > Articles > Nitrogen and Phosphorus Loading of Agricultural Non-point Sources in Jiulong River Watershed Based on GIS Journal of Agro-Environment Science 2004,23 (05) 35-40

基于GIS的九龙江流域农业非点源氮磷负荷估算研究

作  者：
黄金良;洪华生;张珞平;杜鹏飞
单  位：
厦门大学国家教育部海洋环境科学重点实验室厦门大学环境科学研究中心;清华大学环境科学与工程系
关键词：
GIS;氮磷负荷;九龙江流域
摘  要：
以实测资料和相关研究资料为基础,分别选取适当的算法对USLE方程和SCS模型中的各个参数进行了率定,并借助ARC/INFO的GRID模块使各参数分别以栅格图层存储。利用GIS的空间运算分析能力,估算了九龙江流域土壤侵蚀量和年径流量,并进一步计算了流域的溶解态氮磷负荷和固态氮磷负荷。以100m×100m的网格为基本计算单元,以污染源输出经验模型进行了氮磷负荷的估算,实现了模型在空间上的分布式模拟,对九龙江流域农业非点源进行了定位、定量研究。
译  名：
Nitrogen and Phosphorus Loading of Agricultural Non-point Sources in Jiulong River Watershed Based on GIS
作  者：
HUANG Jin-liang1,2,HONG Hua-sheng2,ZHANG Luo-ping2,DU Peng-fei1(1.Department of Environmental Science and Engineering,Tsinghua University,Beijing 100084,China;2.Key Laboratory for Marine Environmental Science of the Ministry Education,Environmental Science Research Center,Xiamen University,Xia men 361005,China)
关键词：
geographic information systems;nitrogen and phosphorus loading;j iulong river watershed
摘  要：
Empirical models-USLE, SCS-CN and empirical equations are used to quantity the nitrogen (N) and phosphorus (P) loadings in a Geographic Informa tion Systems (GIS) environment. Various GIS layers, including land-use, soil t ypes and DEMs layer are created for the entire watershed by ARC/INFO, which are used to extract the parameters for USLE and SCS-CN models. The GIS layers are mostly organized in ARC/INFO GRID (the grid cell size is 100 m×100 m). The cur ve numbers (CNs) method is used to estimate surface runoff and the CNs is adjust ed depending on the antecedent moisture condition (AMC) before each storm. USLE is employed to predict the soil loss in Jiulong river watershed. Then, combined with the results obtained from the CNs methods and USLE model, the empirical equ ations for calculating the nitrogen and phosphorus loadings are provided to calc ulate N and P loadings in forms of dissolved N and P, particulate N and P based on ARC/INFO GRID. As a result, the spatial distribution of N and P loadings in t erms of sub-watersheds, land-use type and counties in Jiulong river watershe d are obtained and analyzed, which makes it easy to identify the critical source areas so as to efficiently control the agricultural non-point source pollutio n in Jiulong river watershed. The results show that excess fertilizer use and li vestock farm contribute significant N and P loadings from many counties. The con tribution of livestock farm to N and P loadings from some counties such as Xinlu o district and Zhangzhou could occupy up to 40%～47%and 51%～62%, res pectively.

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