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渭河流域径流变化趋势及其影响因素分析
引用本文:魏红义,李靖,王江,田鹏.渭河流域径流变化趋势及其影响因素分析[J].水土保持通报,2008,28(1):76-80.
作者姓名:魏红义  李靖  王江  田鹏
作者单位:汝阳县水利水保技术推广站,河南,汝阳,471200
摘    要:降水是产生土壤侵蚀的主要原动力.以豫西土石山区的汝阳县和黄土丘陵区的嵩县为例,通过对实测的雨强、坡度等水土流失因子的观测和研究,初步探讨了降水变化对不同下垫面(梯田、林地、坡耕地、荒坡)造成的水土流失之分异影响,并推求出组合方程式表达其影响规律.结果表明,荒坡和坡耕地的蓄水作用最差,梯田和林地的蓄水功效则较高.在小流域治理过程中,应当把梯田、林地以及配套的沟道整治工程等作为重要的雨水存贮措施.

关 键 词:降水  下垫面  水土流失  分异影响  降水变化  不同下垫面  水土流失因子  影响  Conditions  Underlying  Surface  Different  Distribution  Soil  Erosion  Change  on  Precipitation  雨水存贮  整治工程  沟道  治理过程  小流域  水功效  蓄水作用  结果  规律
文章编号:1000-288X(2008)01-0073-03
收稿时间:2007-07-09
修稿时间:2007-09-07

Analysis on Runoff Trend and Influence Factors in Weihe River Basin
WEI Hongyi,LI Jing,WANG Jiang and TIAN Peng.Analysis on Runoff Trend and Influence Factors in Weihe River Basin[J].Bulletin of Soil and Water Conservation,2008,28(1):76-80.
Authors:WEI Hongyi  LI Jing  WANG Jiang and TIAN Peng
Institution:College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China;College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China;College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China;College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China
Abstract:Aimed atthe stream flow cut-off of Weihe river basin at Huaxian station,it is importantthatthe runoff trend and influence factors are analyzed in this area. According to the data of runoff in Weihe river basin from 1956 to 2000,the changing trend of runoff at Huaxian station is analyzed by using the R/S analysis (Rescale Range Analysis). At the same time,the influence factors of runoff are analyzed. Results show thatthe H urstcoefficientis 0. 778 4,showing thatthe runoff trend is on the persistentdecline. The annual average runoff had been reduced by 3. 79×109m3 from 1970 to 2000,compared to the runoff from 1956 to 1969. Among the influence factors,the reduction influenced by climate is 1. 96×109m3 and the reduction influenced by human activities is 1. 83×109m3,amounting for 51. 7% and 48. 3% of the total reduction,respectively.
Keywords:precipitation  underlying surface condition  soil erosion  influence of different distribution
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