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淮河中上游流域基流时空变化特征及闸坝调控影响 被引量:2
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作者 陈秋潭 张永勇 《南水北调与水利科技》 CAS 北大核心 2019年第6期10-19,共10页
基流作为河川径流的重要组成部分,对维系河流生态系统稳定起着关键作用。以淮河中上游流域为例,采用Chapman-Maxwell、Lyne-Hollick和Boughton-Chapman三种数字滤波法对淮河干流和支流沙颍河不同闸坝调控的7个站点2001-2015年日径流序... 基流作为河川径流的重要组成部分,对维系河流生态系统稳定起着关键作用。以淮河中上游流域为例,采用Chapman-Maxwell、Lyne-Hollick和Boughton-Chapman三种数字滤波法对淮河干流和支流沙颍河不同闸坝调控的7个站点2001-2015年日径流序列进行基流分割;采用Mann-Kendall趋势分析检测基流量在年际、汛期和非汛期多种时间尺度下的变化,对比分析闸坝调控的影响特征。结果表明:(1)Chapman-Maxwell数字滤波法对基流过程分割更合理,沙颍河水系站点的基流系数在0.23~0.46之间,淮河干流站点系数在0.36~0.50之间,沙颍河水系站点基流系数均小于淮河干流站点;(2)沙颍河和淮河干流的站点基流量均呈现出减少的趋势,其中沙颍河的基流量减幅明显高于淮河干流;沙颍河槐店、阜阳闸和淮河干流王家坝的年平均基流量,以及沙颍河白龟山、槐店和阜阳闸的汛期基流量减少趋势显著;(3)闸坝拦蓄导致下游的径流和基流量均呈现减少的趋势,沙颖河站点影响较严重,特别是在汛期8月减少趋势具有统计显著性;淮河干流站点受闸坝调控较弱,减少并不显著。研究可为认识淮河中上游流域的水循环特征及其转化关系提供技术支撑,也可为流域地下水资源可持续利用、人类活动影响评估等提供依据。 展开更多
关键词 基流 数字滤波法 趋势检验 闸坝调控 淮河流域
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Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification 被引量:7
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作者 ZHANG Yongyong chen qiutan XIA Jun 《Journal of Geographical Sciences》 SCIE CSCD 2020年第12期2053-2075,共23页
Flood is one of the severest natural disasters in the world and has caused enormous causalities and property losses.Previous studies usually focus on flood magnitude and occurrence time at event scale,which are insuff... Flood is one of the severest natural disasters in the world and has caused enormous causalities and property losses.Previous studies usually focus on flood magnitude and occurrence time at event scale,which are insufficient to contain entire behavior characteristics of flood events.In our study,nine behavior metrics in five categories(e.g.,magnitude,duration,timing,rates of changes and variability)are adopted to fully describe a flood event.Regional and interannual variations of representative flood classes are investigated based on behavior similarity classification of numerous events.Contributions of geography,land use,hydrometeorology and human regulation on these variations are explored by rank analysis method.Results show that:five representative classes are identified,namely,conventional events(Class 1,61.7% of the total),low discharge events with multiple peaks(Class 2,5.3%),low discharge events with low rates of changes(Class 3,18.1%),low discharge events with high rates of changes(Class 4,10.8%)and high discharge events with long durations(Class 5,4.1%).Classes 1 and 3 are the major flood events and distributed across the whole region.Class 4 is mainly distributed in river sources,while Classes 2 and 5 are in the middle and down streams.Moreover,the flood class is most diverse in normal precipitation years(2006,2008-2010 and 2015),followed by wet years(2007,2013-2014),and dry years(2011 and 2012).All the impact factor categories explain 34.0%-84.1% of individual flood class variations.The hydrometeorological category(7.2%-56.9%)is the most important,followed by geographical(1.0%-6.3%),regulation(1.7%-5.1%)and land use(0.9%-2.2%)categories.This study could provide new insights into flood event variations in a comprehensive manner,and provide decision-making basis for flood control and resource utilization at basin scale. 展开更多
关键词 flood events behavior metrics CLASSIFICATION regional and interannual variations potential impacts
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