基于区域农业用水量的干旱重现期计算方法

为研究实际水利条件下农业干旱的发生规律,简化农业干旱事件的评估方法,提出基于区域农业用水量的干旱重现期计算方法。通过构建农业用水量距平百分率干旱指标WA,在基于降雨量距平百分率干旱指标PA识别干旱事件的基础上,提取WA干旱指标下的干旱历时和干旱烈度特征变量,并根据以PA为干旱指标的干旱烈度频率分布曲线FS(x)和干旱历时频率分布曲线FD(x),运用Copula的简化方法计算基于WA的干旱事件重现期T,最后结合基于PA的干旱事件重现期T0,回归分析出T与T0间关系的计算公式。选取干旱灾害影响严重的亳州市为实证区域开展应用研究,计算得到1975—2007年各场干旱事件的T0和T以及T0与T的经验关...

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Published in水科学进展 Vol. 28; no. 5; pp. 691 - 701
Main Author 张宇亮;蒋尚明;金菊良;吴志勇;周玉良
Format Journal Article
LanguageChinese
Published 河海大学水文水资源学院水问题研究所,江苏 南京,210098%安徽省水利部淮河水利委员会水利科学研究院水利水资源安徽省重点实验室,安徽 合肥,230088%合肥工业大学土木与水利工程学院, 安徽 合肥 230009 2017
合肥工业大学水资源与环境系统工程研究所, 安徽 合肥 230009
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Summary:为研究实际水利条件下农业干旱的发生规律,简化农业干旱事件的评估方法,提出基于区域农业用水量的干旱重现期计算方法。通过构建农业用水量距平百分率干旱指标WA,在基于降雨量距平百分率干旱指标PA识别干旱事件的基础上,提取WA干旱指标下的干旱历时和干旱烈度特征变量,并根据以PA为干旱指标的干旱烈度频率分布曲线FS(x)和干旱历时频率分布曲线FD(x),运用Copula的简化方法计算基于WA的干旱事件重现期T,最后结合基于PA的干旱事件重现期T0,回归分析出T与T0间关系的计算公式。选取干旱灾害影响严重的亳州市为实证区域开展应用研究,计算得到1975—2007年各场干旱事件的T0和T以及T0与T的经验关系式。结果表明:T比T0更合理地反映区域农业实际受旱状况,重现期T0和T间存在高度的相关关系,采用T的回归方程可简化计算考虑区域实际抗旱能力下的干旱事件重现期,在区域防旱减灾实践中具有推广应用价值。
Bibliography:In order to research the appearance of agricultural drought under the actual water projects,the computational method for the return periods of drought events,based on the regional agricultural water consumption,is presented in this study. Through the drought index establishment of the anomalous percentages of agricultural water consumption( WA),on the basis of drought events recognized by the drought index PAof precipitation anomalous percentages,the drought characteristic variable of the severity and duration for drought events based on WAwere extracted. Meanwhile,according to the frequency distribution curves FS(x) of drought severity and the frequency distribution curves FD(x) of drought duration obtained with PAas the drought index,the return periods T of drought events based on WA were computed by use of the simplified method of Copula. Finally,combined with the return periods T0 of drought events based on PA,the formula of relationship between T and T0 was obtained through the analysis of regression. Th
ISSN:1001-6791
DOI:10.14042/j.cnki.32.1309.2017.05.006