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气候与植被协同变化下的径流响应研究

张豪 鲍振鑫 王婕 孟宪红 余承霖 朱俊杰

水科学进展2025,Vol.36Issue(4):596-609,14.
水科学进展2025,Vol.36Issue(4):596-609,14.DOI:10.14042/j.cnki.32.1309.2025.04.005

气候与植被协同变化下的径流响应研究

The response of runoff to coordinated changes in climate and vegetation:a case study at northern foothills of Qinling Mountains

张豪 1鲍振鑫 2王婕 2孟宪红 3余承霖 1朱俊杰2

作者信息

  • 1. 河海大学水文水资源学院,江苏 南京 210098
  • 2. 南京水利科学研究院水灾害防御全国重点实验室,江苏 南京 210029||水利部应对气候变化研究中心,江苏 南京 210029
  • 3. 中国科学院西北生态环境资源研究院,甘肃 兰州 730000
  • 折叠

摘要

Abstract

To enhance the understanding of runoff responses to climate and vegetation changes,co-variation diagnosis based on Copula functions,structural equation modeling,and elasticity coefficients were employed in the less human-impacted northern foothills of the Qinling Mountains,to analyze the runoff response patterns under the collaborative changes of climate and vegetation.The results showed:①From 1980 to 2022,the basin exhibited a trend of nonsignificant increase in precipitation,significant increase in leaf area index.②Improvement in vegetation conditions led to a decrease in the proportion of precipitation converted into runoff.③Temperatures is the primary climatic factor driving regional vegetation changes,which in turn affected runoff.④Vegetation changes adapting to climate change amplified the runoff response to temperature changes while reducing the runoff response to precipitation changes;a 1℃ increase in temperature directly caused a 2.7%reduction in regional runoff and indirectly led to a 3.8%reduction by driving vegetation changes;a 10%increase in precipitation directly increased regional runoff by 17.2%,but indirectly reduced runoff by 1.5%through driving vegetation changes.This study holds significant scientific importance for understanding the hydrological response patterns of watersheds under the co-variation of climate and vegetation.

关键词

径流响应/气候变化/植被变化/秦岭

Key words

runoff response/climate change/vegetation change/Qinling Mountains

分类

天文与地球科学

引用本文复制引用

张豪,鲍振鑫,王婕,孟宪红,余承霖,朱俊杰..气候与植被协同变化下的径流响应研究[J].水科学进展,2025,36(4):596-609,14.

基金项目

国家重点研发计划项目(2022YFC3205200) (2022YFC3205200)

国家自然科学基金项目(52479020)The study is financially supported by the National Key R&D Program of China(No.2022YFC3205200)and the National Natural Science Foundation of China(No.52479020). (52479020)

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