基于主成分分析的干旱综合指标构建及其应用
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常文娟(1985-),女,山西平遥人,讲师,博士后,主要从事水文水资源方面研究。 E-mail:cwj1116@126.com

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P426.616

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湖北省教育厅科学技术研究项目(B2015255);三峡大学科学基金(KJ2013B072);2016年度流域水循环模拟与调控国家重点实验室代表性成果培育课题(2016CG05);


Construction of Drought Composite Indicator Based on Principal Component Analysis and Its Application
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    摘要:

    探讨了干旱综合指标的构建,提出采用主成分分析法将降雨、径流及土壤含水量等水文气象要素融合为一个干旱综合指标,并将该指标应用于干旱过程识别和干旱频率分析,且以南盘江上游西桥水文站以上区域为例,将基于干旱综合指标计算的干旱重现期同基于降雨、径流和土壤含水量等单指标计算的干旱重现期进行对比分析。结果表明:采用主成分分析法构建的干旱综合指标是合理可行的。

    Abstract:

    The construction of comprehensive index of drought was presented and the individual hydrology meteo rological elements , such as rainfall, runoff and soil moisture content, were integrated as a comprehensive drought index using the Principal Component Analysis method. The relative anomaly characterization of drought indicators was employed to identify the drought process byRun theory. Run theory was applied to probabilistically describe the frequency characteristics of drought , eventually to achieve a comprehensiveanalysis for the drought frequency. Then, the area above the Youxiqiao Hydrometry Station in Nanpanjiang upstream was selected as a pilot tocalculate the drought return period using the presented theories and methods and contrast to the return period of single drought index. The resultsshow that the constructed comprehensive drought index using the Principal Component Analysis method is reasonable and feasible.

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  • 收稿日期:2016-06-02
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  • 在线发布日期: 2022-06-22
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