Hydrological drought assessment of the Yellow River Basin based on non-stationary model

Study region: the Yellow River Basin Study focus: Non-stationary hydrological conditions are becoming increasingly common due to climate change and human activities, and pose a novel challenge to the management of water resources and related risks, especially for large basins. However, prevalent res...

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Main Authors: Jiarui Yu, Rui Xiao, Mingzhi Liang, Yaping Wang, Shuai Wang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824003239
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author Jiarui Yu
Rui Xiao
Mingzhi Liang
Yaping Wang
Shuai Wang
author_facet Jiarui Yu
Rui Xiao
Mingzhi Liang
Yaping Wang
Shuai Wang
author_sort Jiarui Yu
collection DOAJ
description Study region: the Yellow River Basin Study focus: Non-stationary hydrological conditions are becoming increasingly common due to climate change and human activities, and pose a novel challenge to the management of water resources and related risks, especially for large basins. However, prevalent research on drought assessment often ignores the non-stationary characteristics of hydrological processes. In this study, we investigated the stationarity of the runoff of the Yellow River Basin (YRB), the second-longest basin in China. We used an approach for assessing non-stationary droughts based on the generalized additive model for location, scale, and shape to establish a standardized runoff index containing covariates (SRI_cov) to identify hydrological droughts in the basin from 1986 to 2015. New hydrological insights for the region: The results show that the runoff was non-stationary in the YRB. Based on SRI_cov, hydrological drought predominantly occurred in the entire YRB in spring. From 1986, the number of months in which droughts occurred in the YRB exhibited a general trend of increase and peaked around 2002. After that, the total number of droughts significantly decreased but extreme droughts had become more prominent since 2005. The drought was more severe in the middle reaches of the Yellow River, and was characterized by a high frequency, intensity, and severity. Our analysis enhances the understanding of hydrological modeling and drought assessment under non-stationary conditions.
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publishDate 2024-12-01
publisher Elsevier
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series Journal of Hydrology: Regional Studies
spelling doaj-art-f2ce5227f5ad4f1e92e3f91aaabc68302025-08-20T02:30:51ZengElsevierJournal of Hydrology: Regional Studies2214-58182024-12-015610197410.1016/j.ejrh.2024.101974Hydrological drought assessment of the Yellow River Basin based on non-stationary modelJiarui Yu0Rui Xiao1Mingzhi Liang2Yaping Wang3Shuai Wang4State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR ChinaCenter for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling 712100, PR ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR China; Corresponding author.Study region: the Yellow River Basin Study focus: Non-stationary hydrological conditions are becoming increasingly common due to climate change and human activities, and pose a novel challenge to the management of water resources and related risks, especially for large basins. However, prevalent research on drought assessment often ignores the non-stationary characteristics of hydrological processes. In this study, we investigated the stationarity of the runoff of the Yellow River Basin (YRB), the second-longest basin in China. We used an approach for assessing non-stationary droughts based on the generalized additive model for location, scale, and shape to establish a standardized runoff index containing covariates (SRI_cov) to identify hydrological droughts in the basin from 1986 to 2015. New hydrological insights for the region: The results show that the runoff was non-stationary in the YRB. Based on SRI_cov, hydrological drought predominantly occurred in the entire YRB in spring. From 1986, the number of months in which droughts occurred in the YRB exhibited a general trend of increase and peaked around 2002. After that, the total number of droughts significantly decreased but extreme droughts had become more prominent since 2005. The drought was more severe in the middle reaches of the Yellow River, and was characterized by a high frequency, intensity, and severity. Our analysis enhances the understanding of hydrological modeling and drought assessment under non-stationary conditions.http://www.sciencedirect.com/science/article/pii/S2214581824003239Hydrological droughtYellow River BasinNon-stationarityGAMLSSStandardized runoff index
spellingShingle Jiarui Yu
Rui Xiao
Mingzhi Liang
Yaping Wang
Shuai Wang
Hydrological drought assessment of the Yellow River Basin based on non-stationary model
Journal of Hydrology: Regional Studies
Hydrological drought
Yellow River Basin
Non-stationarity
GAMLSS
Standardized runoff index
title Hydrological drought assessment of the Yellow River Basin based on non-stationary model
title_full Hydrological drought assessment of the Yellow River Basin based on non-stationary model
title_fullStr Hydrological drought assessment of the Yellow River Basin based on non-stationary model
title_full_unstemmed Hydrological drought assessment of the Yellow River Basin based on non-stationary model
title_short Hydrological drought assessment of the Yellow River Basin based on non-stationary model
title_sort hydrological drought assessment of the yellow river basin based on non stationary model
topic Hydrological drought
Yellow River Basin
Non-stationarity
GAMLSS
Standardized runoff index
url http://www.sciencedirect.com/science/article/pii/S2214581824003239
work_keys_str_mv AT jiaruiyu hydrologicaldroughtassessmentoftheyellowriverbasinbasedonnonstationarymodel
AT ruixiao hydrologicaldroughtassessmentoftheyellowriverbasinbasedonnonstationarymodel
AT mingzhiliang hydrologicaldroughtassessmentoftheyellowriverbasinbasedonnonstationarymodel
AT yapingwang hydrologicaldroughtassessmentoftheyellowriverbasinbasedonnonstationarymodel
AT shuaiwang hydrologicaldroughtassessmentoftheyellowriverbasinbasedonnonstationarymodel