基于SWAT模型的小流域非点源氮磷迁移规律研究

非点源污染是影响农业水土环境的重要因素.在 GIS 平台的支持下,运用 SWAT 模型,以长江下游岔河小流域为研究对象,分析了氮磷流失时空分布规律,并模拟不同灌溉方式下非点源氮磷流失变化.结果表明：率定后的模型适用于小流域非点源污染的模拟;降雨量与径流及有机氮磷流失具有明显的相关关系,汛期（6-9月）的径流量占全年径流量的56.40%,有机氮磷流失量分别占到64.89%和59.70%;在空间尺度上,有机氮与有机磷负荷空间分布相似,呈现出随地表径流向岔河主河道逐渐汇聚的分布特征,大豆和水稻田是非点源污染的主要贡献地区;通过情景模拟发现,不同灌溉方式对小流域氮磷流失影响显著,对水稻田实行优化灌溉,...

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Bibliographic Details
Published in农业工程学报 Vol. 29; no. 2; pp. 93 - 100
Main Author 张展羽 司涵 孔莉莉
Format Journal Article
LanguageChinese
Published 河海大学水利水电学院,南京 210098%江苏省水利厅,南京 210029 2013
Subjects
SWAT
优化灌溉
时空分布
模型
氮磷流失
污染
灌溉
spatial and temporal distribution
优化灌溉
models
模型
pollution
nitrogen and phosphorus loss
时空分布
SWAT
灌溉
irrigation
optimized irrigation
氮磷流失
污染
Online AccessGet full text
ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2013.02.014

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Summary:非点源污染是影响农业水土环境的重要因素.在 GIS 平台的支持下,运用 SWAT 模型,以长江下游岔河小流域为研究对象,分析了氮磷流失时空分布规律,并模拟不同灌溉方式下非点源氮磷流失变化.结果表明：率定后的模型适用于小流域非点源污染的模拟;降雨量与径流及有机氮磷流失具有明显的相关关系,汛期（6-9月）的径流量占全年径流量的56.40%,有机氮磷流失量分别占到64.89%和59.70%;在空间尺度上,有机氮与有机磷负荷空间分布相似,呈现出随地表径流向岔河主河道逐渐汇聚的分布特征,大豆和水稻田是非点源污染的主要贡献地区;通过情景模拟发现,不同灌溉方式对小流域氮磷流失影响显著,对水稻田实行优化灌溉,采取浅灌高蓄的控制方法,可以有效改善小流域农业水土环境.
Bibliography:Zhang Zhanyui, Si Han, Kong Lili （1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;2. Water Resources Department of Jiangsu Province, Nanjing 210029, China）
11-2047/S
irrigation, pollution, models, SWAT, nitrogen and phosphorus loss, spatial and temporal distribution,optimized irrigation
Non-point source pollution is the main factor affecting water-soil environment. Based on the SWAT model and GIS technology, spatial and temporal distributions of organic nitrogen （ON） and organic phosphorus （OP） were analyzed in Chahe watershed at the lower Yangtze River. Simulation of non-point source pollution was performed under different irrigation methods. The results showed that SWAT model was applicable for the simulation of non-point source pollution in the study area. Precipitation had strong correlation with runoff, ON and OP, with correlation coefficients 0.897, 0.762 and 0.713, respectively. Runoff during flood season accounted for 56.40% of the annual total, while O
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2013.02.014