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水土流失量和养分流失量的预测
引用本文:胡宏祥,洪天求,刘路. 水土流失量和养分流失量的预测[J]. 环境科学研究, 2009, 22(3): 356-361
作者姓名:胡宏祥  洪天求  刘路
作者单位:合肥工业大学,资源与环境工程学院,安徽,合肥,230009;安徽农业大学,资源与环境学院,安徽,合肥,230036;合肥工业大学,资源与环境工程学院,安徽,合肥,230009
基金项目:科学技术部基础研究重大项目,安徽省自然科学基金 
摘    要:采用SCS模型,USLE模型,铁钉法和养分流失公式,对巢湖龟山研究区进行了水土流失量和养分流失量的预测和估算.结果表明:研究区的平均年径流量为476.5 mm,不同土地利用类型的年径流量不同,灌丛和草地相对较小,建设用地和未利用地则较大;USLE模型和铁钉法估算的土壤侵蚀量平均值分别为4 107.57和3 847.6 t/(km2·a),且不同土地利用类型的土壤侵蚀量均存在差异;土壤养分流失量的计算结果显示,氮素为7.389 t/(km2·a),磷素为3.166 t/(km2·a);流失土壤携带是养分流失的主要形式,径流携带养分总量相对较小,其中,氮素和磷素通过土壤携带造成的损失分别占氮、磷养分流失总量的90.14%和87.37%. 

关 键 词:龟山  水土流失量  养分流失量  预测
收稿时间:2008-05-14
修稿时间:2008-07-11

Prediction of Soil Erosion and Nutrient Loss Quantity
HU Hong-xiang,HONG Tian-qiu and LIU Lu. Prediction of Soil Erosion and Nutrient Loss Quantity[J]. Research of Environmental Sciences, 2009, 22(3): 356-361
Authors:HU Hong-xiang  HONG Tian-qiu  LIU Lu
Affiliation:1.School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;School of Resources and Environment,Anhui Agricultural University,Hefei 230036,China2.School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China
Abstract:Prediction of soil erosion and nutrient loss quantity was conducted in Guishan Mountain, Caohu using the SCS model, the USLE model, the iron nails method anda nutrient loss formula. The results showed that in the research area, the average annual runoff was 476.5 mm,which was different with the different types of land use. Shrub land and grassland had smaller runoff, while building land and unused land had greater runoff. The estimation of the soil erosion quantity was 4,107.57 t/(km2·a) by the USLE model and 3,847.6 t/(km2·a) by nails law,which was different with the different types of land use.The estimation of nitrogen loss quantity was 7.389 t/(km2·a),and phosphorus loss quantity was 3.166 t/(km2·a). Nutrient loss carried by soil wasthe main part, while loss carried by runoff was a small part. Nitrogen and phosphorus loss carried by soil accounted for 90.14% and 87.37% respectively. 
Keywords:Guishan Mountain  soil erosion quantity  nutrient loss quantity  prediction  
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