胡莹莹,周毓彦,鲁帆,肖伟华,侯保灯,刘建伟,薛伟,张佳悦

• 1:中国水利水电科学研究院流域水循环模拟与调控国家重点实验室
• 2:河海大学水文水资源学院

摘要(Abstract)：

【目的】为解决大多数干旱评估中雪因素常被忽略的问题，需要开发适用于高寒融雪流域的干旱指数。【方法】根据潜在蒸散量、融雪量、降雨量计算水分增益/损失，然后利用Copula函数计算水分增加/损失与土壤水分的联合分布概率，从而构建了一个基于降雨、融雪量、潜在蒸散量和土壤水分新的标准化融雪综合干旱指数(SSCDI),并比较和评估了3月和6月时间尺度的SSCDI在黄河源区的干旱监测性能。【结果】结果表明，Fischer-Hinzmann Copula是构建SSCDI的最佳连接函数；新构建的SSCDI与SPEI和MSDI相比，同SSI的拟合程度更好(R~2高于0.7);SSCDI比SPEI和MSDI更符合观测到的干旱变化。【结论】特别是在高寒流域，对雪因素的考虑提高了SSCDI的干旱监测能力，并且SSCDI能够同时监测出SPEI和MSDI所监测到的干旱情况，总体而言，SSCDI可用于识别和监测高寒区不同时间尺度的气象和农业综合干旱。

关键词(KeyWords)： 干旱指数;融雪量;Copula函数;黄河源区

Abstract:

Keywords:

基金项目(Foundation): 2022年度科技智库青年人才计划(20220615ZZ07110156);; 青海省中央引导地方科技发展资金项目(2022ZY020);; 第二次青藏高原综合科学考察研究(2019QZKK0207-02);; 国家自然青年科学基金项目(51909275);; 中国水利水电科学研究院基本科研业务费专项项目(WR110145B0052021);; 流域水循环模拟与调控国家重点实验室开放研究基金项目(IWHR-SKL-KF202204)

作者(Author): 胡莹莹,周毓彦,鲁帆,肖伟华,侯保灯,刘建伟,薛伟,张佳悦

DOI: 10.13928/j.cnki.wrahe.2023.08.007

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