2019
DOI: 10.1016/j.jhydrol.2019.124147
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Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China

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Cited by 162 publications
(97 citation statements)
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“…Y. Xu, Zhang, et al. (2019) studied the impacts of human activities on the propagation from meteorological to hydrological drought in northern China and found that human activities accelerated the drought propagation. S. Z. Huang et al.…”
Section: Introductionmentioning
confidence: 99%
“…Y. Xu, Zhang, et al. (2019) studied the impacts of human activities on the propagation from meteorological to hydrological drought in northern China and found that human activities accelerated the drought propagation. S. Z. Huang et al.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, we estimated the mean propagation time for all the drought spells, which provides a robust measure of drought propagation time at each location. Our approach to estimate drought propagation is different from the previously reported methods that are based on the correlation between SPI and SSI (Barker et al, 2016; Xu et al, 2019). The correlation‐based approach for the identification of drought propagation is not appropriate for the Indian domain due to high seasonality in precipitation.…”
Section: Methodsmentioning
confidence: 78%
“…For SPI, SSMI, and SSI, the cumulative distribution functions obtained by fitting the selected distributions were mapped onto the normal distribution functions using an inverse of cumulative standard normal Gaussian function to represent a dimensionless index (Mishra et al, 2016). These indices have been widely used for the assessment of meteorological and hydrological droughts (Aadhar & Mishra, 2017;Mishra, 2020;Mishra et al, 2018Mishra et al, , 2019Shah & Mishra, 2020;Van Loon & Laaha, 2015;Vicente-Serrano et al, 2012;Xu et al, 2019). SPI, SSMI, and SSI can be estimated at multiple accumulation time scales, which can provide valuable information of drought at seasonal (1-3 months), annual (12 months), or longer time scales.…”
Section: Drought Propagationmentioning
confidence: 99%
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“…Accordingly, the hydrological drought lags behind the meteorological drought [9,10]. To explore this phenomenon, many scholars have conducted extensive research encompassing drought duration, drought intensity, and drought severity via statistical methods or numerical model simulation methods [11][12][13][14][15]. Zhao et al [16] investigated the variations in hydrological and meteorological droughts and the response of hydrological drought to meteorological drought at the Jing River of northwest China, revealing that the hydrological drought lagged behind meteorological drought by 127 days.…”
Section: Introductionmentioning
confidence: 99%