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基于不同时间尺度的中国南方喀斯特流域滞后效应驱动机制研究。

Study on the driving mechanism of lagged effects based on different time scales in a karst drainage basin in South China.

机构信息

School of Geography and Environmental Science, Guizhou Normal University, Guiyang, 550001, Guizhou, China.

School of Geography and Environmental Science, Guizhou Normal University/National Engineering Technology Institute for Karst, Guiyang, Guizhou, China.

出版信息

Sci Rep. 2023 Jun 8;13(1):9347. doi: 10.1038/s41598-023-36098-0.

DOI:10.1038/s41598-023-36098-0
PMID:37291371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10250434/
Abstract

Compared to earthquakes and volcanoes, drought is one of the most damaging natural disasters and is mainly affected by rainfall losses, especially by the runoff regulation ability of the underlying watershed surface. Based on monthly rainfall runoff data recorded from 1980 to 2020, in this study, the distributed lag regression model is used to simulate the rainfall-runoff process in the karst distribution region of South China, and a time series of watershed lagged-flow volumes is calculated. The watershed lagged effect is analyzed by four distribution models, and the joint probability between the lagged intensity and frequency is simulated by the copula function family. The results show that (1) the watershed lagged effects simulated by the normal, log-normal, P-III and log-logistic distribution models in the karst drainage basin are particularly significant, with small mean square errors (MSEs) and significant time-scale characteristics. (2) Affected by spatiotemporal distribution differences in rainfall and the impacts of different basin media and structures, the lag response of runoff to rainfall differs significantly among different time scales. Especially at the 1-, 3- and 12-month scales, the coefficient of variation (C) of the watershed lagged intensity is greater than 1, while it is less than 1 at the 6- and 9-month scales. (3) The lagged frequencies simulated by the log-normal, P-III and log-logistic distribution models are relatively high (with medium, medium-high and high frequencies, respectively), while that simulated by the normal distribution is relatively low (medium-low and low frequencies). (4) There is a significant negative correlation (R < - 0.8, Sig. < 0.01) between the watershed lagged intensity and frequency. For the joint probability simulation, the fitting effect of the gumbel Copula is the best, followed by the Clayton and Frank-1 copulas, and while that of the Frank-2 copula is relatively weak. Consequently, the propagation mechanism from meteorological drought to agricultural or hydrological drought and the conversion mechanism between agricultural and hydrological drought are effectively revealed in this study, thereby providing a scientific basis for the rational utilization of water resources and drought resistance and disaster relief in karst areas.

摘要

与地震和火山相比,干旱是最具破坏性的自然灾害之一,主要受降雨损失影响,特别是受流域下垫面径流调节能力的影响。本研究基于 1980 年至 2020 年记录的逐月降雨径流数据,利用分布式滞后回归模型模拟中国南方岩溶分布区的降雨径流过程,计算流域滞后流量序列。采用四个分布模型分析流域滞后效应,利用 copula 函数族模拟滞后强度与频率的联合概率。结果表明:(1)岩溶流域正态、对数正态、P-III 和对数逻辑分布模型模拟的流域滞后效应非常显著,均方误差(MSE)较小,具有显著的时间尺度特征。(2)受降雨时空分布差异及不同流域介质和结构的影响,径流对降雨的滞后响应在不同时间尺度上存在显著差异。特别是在 1、3 和 12 个月的时间尺度上,流域滞后强度的变异系数(C)大于 1,而在 6 和 9 个月的时间尺度上,C 值小于 1。(3)对数正态、P-III 和对数逻辑分布模型模拟的滞后频率相对较高(分别为中、中高和高频率),而正态分布模型模拟的滞后频率相对较低(中低和低频率)。(4)流域滞后强度与频率之间存在显著的负相关(R<−0.8,Sig.<0.01)。对于联合概率模拟,gumbel Copula 的拟合效果最好,其次是 Clayton 和 Frank-1 Copula,而 Frank-2 Copula 的拟合效果相对较弱。因此,本研究有效揭示了气象干旱向农业或水文干旱的传播机制以及农业和水文干旱之间的转化机制,为岩溶地区水资源合理利用和抗旱救灾提供了科学依据。

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