Combined effect of landuse/landcover and climate change projection on the spatiotemporal streamflow response in cryosphere catchment in the Tibetan Plateau

IF 8.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Management Pub Date : 2025-02-08 DOI:10.1016/j.jenvman.2025.124353
Kanon Guédet Guédé , Zhongbo Yu , Slobodan P. Simonovic , Huanghe Gu , Ghislain Franck Emani , Ousmane Badji , Xuegao Chen , Brice Sika , Bernard Adiaffi
{"title":"Combined effect of landuse/landcover and climate change projection on the spatiotemporal streamflow response in cryosphere catchment in the Tibetan Plateau","authors":"Kanon Guédet Guédé ,&nbsp;Zhongbo Yu ,&nbsp;Slobodan P. Simonovic ,&nbsp;Huanghe Gu ,&nbsp;Ghislain Franck Emani ,&nbsp;Ousmane Badji ,&nbsp;Xuegao Chen ,&nbsp;Brice Sika ,&nbsp;Bernard Adiaffi","doi":"10.1016/j.jenvman.2025.124353","DOIUrl":null,"url":null,"abstract":"<div><div>Climate and landuse/landcover (LULC) change are primary drivers significantly impacting basin hydrology. However, in the Tibetan Plateau (TP), future streamflow projections that consider the combined effects of climate change and LULC change are lacking. This study aims to enhance the accuracy of future streamflow simulations in the Lhasa River Basin (LRB). It is the initial attempt to evaluate future streamflow variation in the TP that considers the sensitivity of crucial hydrological components (snow, glacier, and permafrost) to warming trends, along with future LULC changes and bias-corrected climate projections. Using the Water Balance Simulation Model (WaSiM), we assessed the individual and combined impacts of climate and LULC change on spatiotemporal streamflow variations from 2010 to 2099 in the LRB. The model includes the entire cryosphere component, essential for regions like the Tibetan Plateau. Future LULC patterns were predicted using the Cellular Automata-Markov model, while multiple bias-corrected General Circulation Models (GCMs) provided climate change data under two emission scenarios. Results suggest urban areas may expand to 83.9% by 2090 compared to 2020. Future precipitation and temperature trends in the LRB indicate an overall increase, except for a decline in winter precipitation. The impacts of LULC change and climate variability on streamflow differ among sub-basins. LULC change alone could lead to a 7.01% annual streamflow increase, while future climate change may increase annual streamflow by 7.37% to 71.74% compared to the baseline (1980–2009). When both drivers are combined, streamflow increases are projected to range from 9.53% to 82.36%. Although LULC change is a lesser factor, its implications in streamflow projections in TP should not be overlooked. The findings of this study can assist policymakers in managing the challenges posed by climate and LULC change in the LRB.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"376 ","pages":"Article 124353"},"PeriodicalIF":8.4000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301479725003299","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Climate and landuse/landcover (LULC) change are primary drivers significantly impacting basin hydrology. However, in the Tibetan Plateau (TP), future streamflow projections that consider the combined effects of climate change and LULC change are lacking. This study aims to enhance the accuracy of future streamflow simulations in the Lhasa River Basin (LRB). It is the initial attempt to evaluate future streamflow variation in the TP that considers the sensitivity of crucial hydrological components (snow, glacier, and permafrost) to warming trends, along with future LULC changes and bias-corrected climate projections. Using the Water Balance Simulation Model (WaSiM), we assessed the individual and combined impacts of climate and LULC change on spatiotemporal streamflow variations from 2010 to 2099 in the LRB. The model includes the entire cryosphere component, essential for regions like the Tibetan Plateau. Future LULC patterns were predicted using the Cellular Automata-Markov model, while multiple bias-corrected General Circulation Models (GCMs) provided climate change data under two emission scenarios. Results suggest urban areas may expand to 83.9% by 2090 compared to 2020. Future precipitation and temperature trends in the LRB indicate an overall increase, except for a decline in winter precipitation. The impacts of LULC change and climate variability on streamflow differ among sub-basins. LULC change alone could lead to a 7.01% annual streamflow increase, while future climate change may increase annual streamflow by 7.37% to 71.74% compared to the baseline (1980–2009). When both drivers are combined, streamflow increases are projected to range from 9.53% to 82.36%. Although LULC change is a lesser factor, its implications in streamflow projections in TP should not be overlooked. The findings of this study can assist policymakers in managing the challenges posed by climate and LULC change in the LRB.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
土地利用/覆被与气候变化预估对青藏高原冰冻圈流域径流时空响应的联合影响
气候和土地利用/覆被(LULC)变化是影响流域水文的主要驱动因素。然而,在青藏高原(TP),考虑气候变化和LULC变化联合影响的未来流量预测缺乏。本研究旨在提高拉萨河流域未来径流模拟的准确性。考虑到关键水文成分(雪、冰川和永久冻土)对变暖趋势的敏感性,以及未来LULC变化和偏差校正后的气候预估,这是评估TP中未来流量变化的初步尝试。利用水平衡模拟模型(WaSiM),评估了2010 - 2099年气候和LULC变化对LRB时空流量变化的单独和联合影响。该模型包括整个冰冻圈成分,这对青藏高原等地区至关重要。使用元胞自动机-马尔可夫模型预测未来的LULC模式,而多偏差校正的环流模式(GCMs)提供了两种排放情景下的气候变化数据。结果显示,与2020年相比,到2090年,城市面积可能扩大到83.9%。除冬季降水减少外,LRB未来降水和温度趋势总体呈增加趋势。LULC变化和气候变率对流域间径流的影响存在差异。仅LULC变化可使年流量增加7.01%,而未来气候变化可使年流量较基线(1980-2009)增加7.37% ~ 71.74%。当这两个驱动因素结合在一起时,预计流量增长范围为9.53% ~ 82.36%。虽然LULC变化是一个较小的因素,但它对TP河流量预测的影响不应被忽视。本研究的发现可以帮助决策者应对气候和土地利用效率变化带来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
期刊最新文献
Unraveling the nonlinear effects of urban blue-green spaces on residents' health in the United States (2000-2019). The role of silicomanganese slag in blast furnace slag-steel slag-FGD gypsum-based clinker-free cementitious materials: compressive strength, hydration mechanisms, and Mn solidification behavior. Does climate risk influence firms' voluntary environmental information disclosures? Evidence from typhoon events in China. Estimation of grassland carrying capacity based on forage quantity/nutritional quality and livestock/wild ungulates in Changtang Nature Reserve on the Qinghai-Tibetan Plateau. Apportioning the ozone-related health impact to precursor emissions and formulating health-oriented ozone control strategies in Southeast Asia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1