摘要
选择美国农业部农业研究所开发的SWAT(SoilandWaterAssessmentTool)模型,在GIS和遥感技术的辅助下,对江西潋水河流域进行了SWAT模型所需相关参数的提取,实现了较大自然流域径流的化学组成分布式计算机模拟,并选择了1993年和2000年两期中模拟值变化较大的12个典型子流域,分析了两期土地利用变化与径流的化学组成模拟值之间的关系。结果表明:土地利用方式对有机氮、有机磷、硝态氮、可溶性磷和矿化磷的迁移量有明显的影响。这项研究将为农业的可持续发展和流域的综合治理与规划,为实现农业的最佳管理措施提供一定的技术支持和依据。
With the aid of GIS (Geographical Information System), remote sensing technology, and the SWAT (Soil and Water Assessment Tool) model developed by the ARS (Agricultural Research Service) of the USDA (United States Department of Agriculture), relevant parameters essential to the SWAT model were extracted from Lianshui Basin, Xingguo County, Jiangxi Province, and computer simulation of chemical composition of the runoff in the study area was carried out, Twelve typical sub-basins varying sharply in simulation value from 1993 to 2000 were selected for analysis of relationship between land use and simulated chemical composition, using the land use maps of the two time periods. Results show that land use was closely related to translocation rates of organic N, organic P, nitrate N, Soluble P and Mineral P. The findings of the study can be used as technical aid and basis for sustainable development of the agriculture, comprehensive administration and programming of the basin, and realization of agricultural BMPs (Best Management Practices).
出处
《土壤学报》
CAS
CSCD
北大核心
2005年第4期559-569,共11页
Acta Pedologica Sinica
基金
国家自然科学基金项目"流域土壤和水资源模拟模型的集成和系统化及其应用"(批准号:40071043)
中国科学院知识创新工程项目(KZCX2-413-1)资助
关键词
GIS
遥感
数学模型
径流的化学组成
Geographical information system
Remote sensing
Mathematical models
Chemical composition in runoff
