Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms

Study region: Altay region in Northwest China. Study focus: The frequency, intensity, and impacts of spring snowmelt flood disasters have changed significantly. However, there is still a limited understanding of snowmelt floods and their causes in Altay. In this study, we focus on the essential char...

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Main Authors: Dilinuer Tuoliewubieke, Weiyi Mao, Junqiang Yao, Xu Zhang, Shujuan Li, Ping Chen, Liyun Ma, Jing Chen
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Hydrology: Regional Studies
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824004919
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author Dilinuer Tuoliewubieke
Weiyi Mao
Junqiang Yao
Xu Zhang
Shujuan Li
Ping Chen
Liyun Ma
Jing Chen
author_facet Dilinuer Tuoliewubieke
Weiyi Mao
Junqiang Yao
Xu Zhang
Shujuan Li
Ping Chen
Liyun Ma
Jing Chen
author_sort Dilinuer Tuoliewubieke
collection DOAJ
description Study region: Altay region in Northwest China. Study focus: The frequency, intensity, and impacts of spring snowmelt flood disasters have changed significantly. However, there is still a limited understanding of snowmelt floods and their causes in Altay. In this study, we focus on the essential characteristics of 49 spring snowmelt flood disasters and explore the related atmospheric circulation anomalies and local thermal conditions that contributed to extreme temperature rises, triggering warming-type flood events. New hydrological insights for the region: From 1984–2018, spring warming-type snowmelt floods predominated in Altay. These floods were associated with a deep high-pressure system over northern Central Asia, which intensified and shifted northward leaing to positive geopotential height anomalies. Additionally, southeasterly anomalies at 850 hPa significantly influenced these events. Zonal cross-sections of average air temperature and vertical circulation anomalies exhibit positive and descending motion anomalies, with the 0 °C layer height rises. The thermal conditions in spring show distinct characteristics, including enhanced upward energy flux from the surface, which favors to local warming in both March and April. In May, downward motion due to reduced cloud cover, resulting in an increase in net shortwave radiation flux reaching the surface. These results provide valuable insights for further exploration of the precursor signals associated with snowmelt floods in the Altay.
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issn 2214-5818
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series Journal of Hydrology: Regional Studies
spelling doaj-art-a14c8be565714cd98e2b89268f6c40ea2025-01-22T05:42:11ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102142Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanismsDilinuer Tuoliewubieke0Weiyi Mao1Junqiang Yao2Xu Zhang3Shujuan Li4Ping Chen5Liyun Ma6Jing Chen7Institute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, China; Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, China; Corresponding author at: Institute of Desert Meteorology, China Meteorological Administration, Urumqi, China.Institute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaUrumqi Meteorological Satellite Ground Station, Urumqi, ChinaInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, China; Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration, Urumqi, China; Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration, Akdala, ChinaStudy region: Altay region in Northwest China. Study focus: The frequency, intensity, and impacts of spring snowmelt flood disasters have changed significantly. However, there is still a limited understanding of snowmelt floods and their causes in Altay. In this study, we focus on the essential characteristics of 49 spring snowmelt flood disasters and explore the related atmospheric circulation anomalies and local thermal conditions that contributed to extreme temperature rises, triggering warming-type flood events. New hydrological insights for the region: From 1984–2018, spring warming-type snowmelt floods predominated in Altay. These floods were associated with a deep high-pressure system over northern Central Asia, which intensified and shifted northward leaing to positive geopotential height anomalies. Additionally, southeasterly anomalies at 850 hPa significantly influenced these events. Zonal cross-sections of average air temperature and vertical circulation anomalies exhibit positive and descending motion anomalies, with the 0 °C layer height rises. The thermal conditions in spring show distinct characteristics, including enhanced upward energy flux from the surface, which favors to local warming in both March and April. In May, downward motion due to reduced cloud cover, resulting in an increase in net shortwave radiation flux reaching the surface. These results provide valuable insights for further exploration of the precursor signals associated with snowmelt floods in the Altay.http://www.sciencedirect.com/science/article/pii/S2214581824004919Snowmelt flood disastersTemperature rise processAltay regionSurface heat flux
spellingShingle Dilinuer Tuoliewubieke
Weiyi Mao
Junqiang Yao
Xu Zhang
Shujuan Li
Ping Chen
Liyun Ma
Jing Chen
Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
Journal of Hydrology: Regional Studies
Snowmelt flood disasters
Temperature rise process
Altay region
Surface heat flux
title Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
title_full Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
title_fullStr Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
title_full_unstemmed Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
title_short Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
title_sort spring snowmelt flood disasters in altay northwest china spatio temporal distribution and mechanisms
topic Snowmelt flood disasters
Temperature rise process
Altay region
Surface heat flux
url http://www.sciencedirect.com/science/article/pii/S2214581824004919
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