Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios

Study region: The Kaidu River Basin (KRB) is located on the central southern slope of the Tianshan Mountain in Northwest China. Study focus: This work aimed to assess changes and main drivers of snowmelt-driven runoff in KRB associated with three future climate scenarios. Six versions of the '&...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bingqian Zhao, Huaiwei Sun, Dong Yan, Guanghui Wei, Ye Tuo, Wenxin Zhang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/5cbc8b89427b4a038964dba89bf14619
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5cbc8b89427b4a038964dba89bf14619
record_format dspace
spelling oai:doaj.org-article:5cbc8b89427b4a038964dba89bf146192021-11-18T04:49:02ZQuantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios2214-581810.1016/j.ejrh.2021.100968https://doaj.org/article/5cbc8b89427b4a038964dba89bf146192021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S221458182100197Xhttps://doaj.org/toc/2214-5818Study region: The Kaidu River Basin (KRB) is located on the central southern slope of the Tianshan Mountain in Northwest China. Study focus: This work aimed to assess changes and main drivers of snowmelt-driven runoff in KRB associated with three future climate scenarios. Six versions of the ''Cemaneige'' snowmelt module embedded in the hydrological model ''GR4J'' were calibrated and evaluated. The bias-corrected climate datasets from CMIP5 Models were used to drive the optimal snowmelt-hydrological model for runoff prediction. The factors that lead to runoff variations were also assessed. New hydrological insights: The significant declining trends of runoff were only predicted in the RCP4.5 and RCP8.5 scenarios. The declining trends of runoff were found in all the seasons. For the annual and summer runoff, compared to the historical period, both the RCP2.6 and RCP 4.5 periods showed a decline in the mid-century and a rise in the end-century; however, RCP8.5 showed a continuous decline during this period. Precipitation and evapotranspiration were ranked as the two most important factors regulating future runoff variations in all RCPs. In contrast, snowmelt timing is the second factor in the historical period, and its importance decreases in the warmer RCP scenarios. These results highlighted that the importance of snowmelt and snowmelt timing to the future runoff depends on the runoff responses to the trajectory of future changes in temperature and precipitation.Bingqian ZhaoHuaiwei SunDong YanGuanghui WeiYe TuoWenxin ZhangElsevierarticleSnowmelt timingISIMIP2bTarim River BasinHydrological modelingChinaPhysical geographyGB3-5030GeologyQE1-996.5ENJournal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100968- (2021)
institution DOAJ
collection DOAJ
language EN
topic Snowmelt timing
ISIMIP2b
Tarim River Basin
Hydrological modeling
China
Physical geography
GB3-5030
Geology
QE1-996.5
spellingShingle Snowmelt timing
ISIMIP2b
Tarim River Basin
Hydrological modeling
China
Physical geography
GB3-5030
Geology
QE1-996.5
Bingqian Zhao
Huaiwei Sun
Dong Yan
Guanghui Wei
Ye Tuo
Wenxin Zhang
Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
description Study region: The Kaidu River Basin (KRB) is located on the central southern slope of the Tianshan Mountain in Northwest China. Study focus: This work aimed to assess changes and main drivers of snowmelt-driven runoff in KRB associated with three future climate scenarios. Six versions of the ''Cemaneige'' snowmelt module embedded in the hydrological model ''GR4J'' were calibrated and evaluated. The bias-corrected climate datasets from CMIP5 Models were used to drive the optimal snowmelt-hydrological model for runoff prediction. The factors that lead to runoff variations were also assessed. New hydrological insights: The significant declining trends of runoff were only predicted in the RCP4.5 and RCP8.5 scenarios. The declining trends of runoff were found in all the seasons. For the annual and summer runoff, compared to the historical period, both the RCP2.6 and RCP 4.5 periods showed a decline in the mid-century and a rise in the end-century; however, RCP8.5 showed a continuous decline during this period. Precipitation and evapotranspiration were ranked as the two most important factors regulating future runoff variations in all RCPs. In contrast, snowmelt timing is the second factor in the historical period, and its importance decreases in the warmer RCP scenarios. These results highlighted that the importance of snowmelt and snowmelt timing to the future runoff depends on the runoff responses to the trajectory of future changes in temperature and precipitation.
format article
author Bingqian Zhao
Huaiwei Sun
Dong Yan
Guanghui Wei
Ye Tuo
Wenxin Zhang
author_facet Bingqian Zhao
Huaiwei Sun
Dong Yan
Guanghui Wei
Ye Tuo
Wenxin Zhang
author_sort Bingqian Zhao
title Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
title_short Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
title_full Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
title_fullStr Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
title_full_unstemmed Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
title_sort quantifying changes and drivers of runoff in the kaidu river basin associated with plausible climate scenarios
publisher Elsevier
publishDate 2021
url https://doaj.org/article/5cbc8b89427b4a038964dba89bf14619
work_keys_str_mv AT bingqianzhao quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
AT huaiweisun quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
AT dongyan quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
AT guanghuiwei quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
AT yetuo quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
AT wenxinzhang quantifyingchangesanddriversofrunoffinthekaiduriverbasinassociatedwithplausibleclimatescenarios
_version_ 1718425042138693632