Drought response analysis based on cross wavelet transform and mutual entropy

Drought exerts a significant impact on the sustainable development of social economy. For sustainable water use and rapid drought response, it is very meaningful to explore the correlation between meteorological drought and hydrological drought. This paper investigates the features of drought evolut...

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Main Authors: Yanling Li, Yunliang Wen, Hexin Lai, Qiqi Zhao
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682030051X
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author Yanling Li
Yunliang Wen
Hexin Lai
Qiqi Zhao
author_facet Yanling Li
Yunliang Wen
Hexin Lai
Qiqi Zhao
author_sort Yanling Li
collection DOAJ
description Drought exerts a significant impact on the sustainable development of social economy. For sustainable water use and rapid drought response, it is very meaningful to explore the correlation between meteorological drought and hydrological drought. This paper investigates the features of drought evolution based on cross wavelet transform (XWT) and mutual entropy. The meteorological drought was measured by the standardized precipitation index (SPI), while the hydrological drought was evaluated by the standardized runoff index (SRI). The research data were collected from hydrological stations and meteorological stations in the Yellow River basin of Henan Province, China. The main conclusions are as follows: (1) Both meteorological drought and hydrological drought had obvious periodicity, especially on the scale of 2–4a. (2) The evolution of meteorological drought varied greatly from place to place; through the study period, Henan province did not suffer any extreme drought, though the drought situation in the western region has an aggravating trend. (3) Hydrological drought has a strong positive correlation with meteorological drought, and generally lagged behind meteorological drought by 1–2 months in the study area. The research results lay a good basis for drought response in the Yellow River basin.
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spelling doaj.art-4f45b861d3dd45f5b32b0a4ffa8305d62022-12-21T21:54:52ZengElsevierAlexandria Engineering Journal1110-01682020-06-0159312231231Drought response analysis based on cross wavelet transform and mutual entropyYanling Li0Yunliang Wen1Hexin Lai2Qiqi Zhao3School of Mathematics and Statistics, North China University of Water Resources and Electric Power Zhengzhou, Henan 450011, China; Corresponding author.School of Information Engineering, North China University of Water Resources and Electric Power Zhengzhou, Henan 450011, ChinaSchool of Mathematics and Statistics, North China University of Water Resources and Electric Power Zhengzhou, Henan 450011, ChinaSchool of Mathematics and Statistics, North China University of Water Resources and Electric Power Zhengzhou, Henan 450011, ChinaDrought exerts a significant impact on the sustainable development of social economy. For sustainable water use and rapid drought response, it is very meaningful to explore the correlation between meteorological drought and hydrological drought. This paper investigates the features of drought evolution based on cross wavelet transform (XWT) and mutual entropy. The meteorological drought was measured by the standardized precipitation index (SPI), while the hydrological drought was evaluated by the standardized runoff index (SRI). The research data were collected from hydrological stations and meteorological stations in the Yellow River basin of Henan Province, China. The main conclusions are as follows: (1) Both meteorological drought and hydrological drought had obvious periodicity, especially on the scale of 2–4a. (2) The evolution of meteorological drought varied greatly from place to place; through the study period, Henan province did not suffer any extreme drought, though the drought situation in the western region has an aggravating trend. (3) Hydrological drought has a strong positive correlation with meteorological drought, and generally lagged behind meteorological drought by 1–2 months in the study area. The research results lay a good basis for drought response in the Yellow River basin.http://www.sciencedirect.com/science/article/pii/S111001682030051XMutual entropyCross wavelet transform (XWT)Hydrological droughtMeteorological drought
spellingShingle Yanling Li
Yunliang Wen
Hexin Lai
Qiqi Zhao
Drought response analysis based on cross wavelet transform and mutual entropy
Alexandria Engineering Journal
Mutual entropy
Cross wavelet transform (XWT)
Hydrological drought
Meteorological drought
title Drought response analysis based on cross wavelet transform and mutual entropy
title_full Drought response analysis based on cross wavelet transform and mutual entropy
title_fullStr Drought response analysis based on cross wavelet transform and mutual entropy
title_full_unstemmed Drought response analysis based on cross wavelet transform and mutual entropy
title_short Drought response analysis based on cross wavelet transform and mutual entropy
title_sort drought response analysis based on cross wavelet transform and mutual entropy
topic Mutual entropy
Cross wavelet transform (XWT)
Hydrological drought
Meteorological drought
url http://www.sciencedirect.com/science/article/pii/S111001682030051X
work_keys_str_mv AT yanlingli droughtresponseanalysisbasedoncrosswavelettransformandmutualentropy
AT yunliangwen droughtresponseanalysisbasedoncrosswavelettransformandmutualentropy
AT hexinlai droughtresponseanalysisbasedoncrosswavelettransformandmutualentropy
AT qiqizhao droughtresponseanalysisbasedoncrosswavelettransformandmutualentropy