径流演化对气候变化的响应——以黄河源区为例

IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jun Mei , Bin Yong , Yi Lyu , Weiqing Qi , Yixin Wen , Guoqing Wang , Jianyun Zhang
{"title":"径流演化对气候变化的响应——以黄河源区为例","authors":"Jun Mei ,&nbsp;Bin Yong ,&nbsp;Yi Lyu ,&nbsp;Weiqing Qi ,&nbsp;Yixin Wen ,&nbsp;Guoqing Wang ,&nbsp;Jianyun Zhang","doi":"10.1016/j.jenvman.2025.125512","DOIUrl":null,"url":null,"abstract":"<div><div>The headwater area of the Yellow River (HAYR) plays an important role in runoff generation for the entire Yellow River basin. However, the runoff patterns within this crucial source region have been experiencing significant changes over the past decades. These changes have made pronounced impacts on the inter-annual and even intra-annual distributions of runoff, especially for the unique double flood peaks (DFP; one peak appears in July and another in September). This study comprehensively demonstrated the runoff evolution in HAYR and its future projection under the background of climate change based on multi-source data analysis and hydrologic simulation. First, we used three mainstream precipitation datasets (i.e., CHM_PRE, CMFD, and TPHiPr) to drive the land surface hydrologic model (i.e., VIC) in the large-scale basin with sparse ground observation. Our simulation results show that the CHM_PRE-driven VIC exhibits the best performance in six experimental combinations. Thus, we adopted the simulation mode of CHM_PRE-driven VIC to quantify the impacts of climate change and human activities on runoff. It was found that climate change was the primary driver for the runoff reduction after the year of 1990 with a contribution of 81.14 %, while human activities only account for 18.86 %. But human activities likely have a larger impact on runoff during those dry periods. Notably, climate change has reduced the peak discharge and shifted the peak time in that, the main peak occurred earlier and the secondary peak appeared later. Subsequently, projections based on future scenarios of Global Climate Models (GCMs) suggest a declining trend in runoff, along with a noticeable periodicity, showing a cycle of approximately 40 years. Finally, the diagnosis of the significance level of flood peaks indicates that the increasing inter-annual variability and the more frequent intra-annual fluctuations will appear in the future runoff changes. This study is expected to enable basin managers to better optimize the water resource allocation and make well-informed practice decisions for the HAYR under global climate change.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125512"},"PeriodicalIF":8.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China\",\"authors\":\"Jun Mei ,&nbsp;Bin Yong ,&nbsp;Yi Lyu ,&nbsp;Weiqing Qi ,&nbsp;Yixin Wen ,&nbsp;Guoqing Wang ,&nbsp;Jianyun Zhang\",\"doi\":\"10.1016/j.jenvman.2025.125512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The headwater area of the Yellow River (HAYR) plays an important role in runoff generation for the entire Yellow River basin. However, the runoff patterns within this crucial source region have been experiencing significant changes over the past decades. These changes have made pronounced impacts on the inter-annual and even intra-annual distributions of runoff, especially for the unique double flood peaks (DFP; one peak appears in July and another in September). This study comprehensively demonstrated the runoff evolution in HAYR and its future projection under the background of climate change based on multi-source data analysis and hydrologic simulation. First, we used three mainstream precipitation datasets (i.e., CHM_PRE, CMFD, and TPHiPr) to drive the land surface hydrologic model (i.e., VIC) in the large-scale basin with sparse ground observation. Our simulation results show that the CHM_PRE-driven VIC exhibits the best performance in six experimental combinations. Thus, we adopted the simulation mode of CHM_PRE-driven VIC to quantify the impacts of climate change and human activities on runoff. It was found that climate change was the primary driver for the runoff reduction after the year of 1990 with a contribution of 81.14 %, while human activities only account for 18.86 %. But human activities likely have a larger impact on runoff during those dry periods. Notably, climate change has reduced the peak discharge and shifted the peak time in that, the main peak occurred earlier and the secondary peak appeared later. Subsequently, projections based on future scenarios of Global Climate Models (GCMs) suggest a declining trend in runoff, along with a noticeable periodicity, showing a cycle of approximately 40 years. Finally, the diagnosis of the significance level of flood peaks indicates that the increasing inter-annual variability and the more frequent intra-annual fluctuations will appear in the future runoff changes. This study is expected to enable basin managers to better optimize the water resource allocation and make well-informed practice decisions for the HAYR under global climate change.</div></div>\",\"PeriodicalId\":356,\"journal\":{\"name\":\"Journal of Environmental Management\",\"volume\":\"384 \",\"pages\":\"Article 125512\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-04-28\",\"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/S0301479725014884\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301479725014884","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

摘要

黄河源区在整个黄河流域的产流中起着重要作用。然而,在过去几十年中,这一重要源区的径流模式发生了重大变化。这些变化对径流的年际甚至年内分布产生了显著的影响,特别是对独特的双洪峰(DFP;一个高峰出现在7月,另一个出现在9月)。本研究基于多源数据分析和水文模拟,全面展示了气候变化背景下青藏高原径流演变及其未来预测。首先,利用3个主流降水数据集(CHM_PRE、CMFD和TPHiPr)在地面观测稀疏的大尺度流域驱动地表水文模型(VIC)。仿真结果表明,CHM_PRE-driven VIC在6种实验组合中表现出最佳的性能。因此,我们采用CHM_PRE-driven VIC模拟模式来量化气候变化和人类活动对径流的影响。结果表明,1990年以后,气候变化是径流减少的主要驱动力,贡献率为81.14%,而人类活动仅占18.86%。但在干旱时期,人类活动可能对径流产生更大的影响。值得注意的是,气候变化使洪峰流量减小,洪峰时间偏移,主峰出现时间提前,次峰出现时间后移。随后,基于全球气候模式(GCMs)未来情景的预估表明,径流呈下降趋势,并具有明显的周期性,其周期约为40年。洪峰显著性水平的诊断表明,未来径流变化将呈现年际变率增加、年内波动更频繁的趋势。该研究将有助于流域管理者在全球气候变化背景下更好地优化水资源配置,并为HAYR做出明智的实践决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China

Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China
The headwater area of the Yellow River (HAYR) plays an important role in runoff generation for the entire Yellow River basin. However, the runoff patterns within this crucial source region have been experiencing significant changes over the past decades. These changes have made pronounced impacts on the inter-annual and even intra-annual distributions of runoff, especially for the unique double flood peaks (DFP; one peak appears in July and another in September). This study comprehensively demonstrated the runoff evolution in HAYR and its future projection under the background of climate change based on multi-source data analysis and hydrologic simulation. First, we used three mainstream precipitation datasets (i.e., CHM_PRE, CMFD, and TPHiPr) to drive the land surface hydrologic model (i.e., VIC) in the large-scale basin with sparse ground observation. Our simulation results show that the CHM_PRE-driven VIC exhibits the best performance in six experimental combinations. Thus, we adopted the simulation mode of CHM_PRE-driven VIC to quantify the impacts of climate change and human activities on runoff. It was found that climate change was the primary driver for the runoff reduction after the year of 1990 with a contribution of 81.14 %, while human activities only account for 18.86 %. But human activities likely have a larger impact on runoff during those dry periods. Notably, climate change has reduced the peak discharge and shifted the peak time in that, the main peak occurred earlier and the secondary peak appeared later. Subsequently, projections based on future scenarios of Global Climate Models (GCMs) suggest a declining trend in runoff, along with a noticeable periodicity, showing a cycle of approximately 40 years. Finally, the diagnosis of the significance level of flood peaks indicates that the increasing inter-annual variability and the more frequent intra-annual fluctuations will appear in the future runoff changes. This study is expected to enable basin managers to better optimize the water resource allocation and make well-informed practice decisions for the HAYR under global climate change.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 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.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信