共享社会经济路径下气候变化对汉江流域水文过程和蓝绿水动态的影响

IF 3.2 3区 地球科学 Q1 Environmental Science
Haojie Li, Zhenghui Fu, Wei Sun, Chao Dai, Yanpeng Cai
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引用次数: 0

摘要

本研究通过评估气候变化对水文过程的影响提供了一个新的视角,特别关注了不同共享社会经济路径(SSP)情景下中国南方汉江流域蓝水和绿水组分的时空动态。利用δ变化方法对耦合模式比对项目第6阶段(CMIP6)的12个全球气候模式(GCMs)进行了尺度缩减,得到了4个SSP情景(即SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5)下近(2031-2060)和远(2061-2090)未来时间窗的未来气候情景。这些缩小比例的气候变量,以及历史控制期数据,被用来驱动校准的SWAT模型。然后利用该模型分析蓝水和绿水特征,并评估未来气候情景下水文过程的潜在变化。结果表明,地表径流是汉江流域蓝水的主要组成部分。此外,多gcm集合平均值预测了流域绿水(蒸散发和土壤含水量)的增加。对于蓝水,在大多数SSP情景下,总体平均值表明与降水相似的变化模式,预计在盆地东北部减少或略有增加,而在西南部增加较大。与历史对照期相比,在SSP1-2.6下,预测未来西南地区蓝水增加最多(13.1%),而在SSP3-7.0下,预测东北地区蓝水减少最多(8.8%)。研究结果具有广泛的国际相关性,因为其方法和见解可以应用于全球面临类似挑战的其他地区。这项工作有助于更好地了解全球气候变化背景下的水文过程,并支持加强可持续水资源管理和气候适应能力的全球努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing Climate-Change Impacts on Hydrological Processes and Blue–Green Water Dynamics Using Multi-Model Ensembles Under Shared Socioeconomic Pathways in the Hanjiang River Basin, China

Assessing Climate-Change Impacts on Hydrological Processes and Blue–Green Water Dynamics Using Multi-Model Ensembles Under Shared Socioeconomic Pathways in the Hanjiang River Basin, China

This study offers a novel perspective by assessing the impacts of climate change on hydrological processes, with a specific focus on the spatial and temporal dynamics of blue and green water components in the Hanjiang River basin in southern China under various shared socioeconomic pathway (SSP) scenarios. Twelve global climate models (GCMs) from the coupled model intercomparison project phase 6 (CMIP6) were downscaled using the delta change method, producing future climate scenarios for near (2031–2060) and far (2061–2090) future time windows under four SSP scenarios (i.e., SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). These downscaled climate variables, along with the historical control period data, were used to drive the calibrated SWAT model. The model was then employed to analyse blue and green water characteristics and assess the potential changes in hydrological processes under future climate scenarios. The findings reveal that surface runoff constitutes the dominant component of blue water in the Hanjiang River basin. Moreover, the multi-GCM ensemble mean predicts an increase in green water (evapotranspiration and soil water content) over the basin. For blue water, the ensemble mean suggests change patterns similar to those of precipitation, with decreases or slight increases expected in the northeastern part of the basin and larger increases in the southwestern part under most SSP scenarios. Compared to the historical control period, blue water is projected to experience the greatest increase (13.1%) in the southwestern part under SSP1-2.6 and the largest decrease (8.8%) in the northeastern part under SSP3-7.0, both in the far future. The findings have broad international relevance, as the methodology and insights can be applied to other regions worldwide facing similar challenges. This work contributes to a better understanding of hydrological processes in the context of global climate change and supports global efforts to enhance sustainable water resource management and climate resilience.

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来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
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