人类活动驱动下吉泰盆地典型流域水文干旱的多要素响应特征
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孙可可(1988-),男,安徽阜阳人,硕士,高级工程师,主要从事干旱模拟与旱灾风险评估研究。E-mail:kewater@yeah.net |
收稿日期: 2025-04-29
修回日期: 2025-08-09
网络出版日期: 2025-10-17
基金资助
中国中铁股份有限公司科技研究开发计划(2022-重大-08)
江西省技术创新引导类计划项目(2023KSG01005)
Response Characteristics of Multiple Elements to Hydrological Drought in Typical Watersheds of the Jitai Basin Driven by Human Activities
Received date: 2025-04-29
Revised date: 2025-08-09
Online published: 2025-10-17
关键词: 水文干旱; 吉泰盆地; 人类活动影响; 两参数月水量平衡模型; 干旱烈度
孙可可 , 姚立强 , 刘雁翼 , 张秀平 , 吴涛 . 人类活动驱动下吉泰盆地典型流域水文干旱的多要素响应特征[J]. 长江科学院院报, 0 . DOI: 10.11988/ckyyb.20250384
Under the interactive influence of climate change and intensive human activities, the evolutionary mechanism of hydrological drought in the Jitai Basin exhibits significant stage-specific differences. Based on data from 1959 to 2023, the Pettitt test on the R/P sequence was employed to delineate the reference Period, transition period, and change period. By integrating the improved monthly water balance model with scenario simulations, this study analyzes the differentiated impacts of climate change and human activities on drought characteristics across different stages. The results show that the runoff coefficient in Shushui, Wujiang, and Tongjiang basins shifted around 1980 and 2008. After a significant increase in runoff effect (R/P) during the transition period, it declined in the change period. Compared to the reference Period, the drought intensity and duration in the three typical basins decreased significantly during the transition period but rebounded in the change period, with average drought intensities increasing by 46.2%, 26.9%, and 25.9% respectively compared to the transition period. High temperatures and low precipitation in summer and autumn are key drivers of hydrological drought in the Jitai Basin, demonstrating strong sensitivity to drought intensity: a 10% decrease in precipitation during this period increases drought intensity by 0.14 to 0.23, exhibiting a diminishing marginal effect. However, compared to the reference Period, human activities dominated the change period, causing variations in runoff depth and drought intensity that exceeded those from climatic factors. The multi-stage driving factor quantification method developed in this study reveals the nonlinear regulatory effects of different factors on hydrological drought intensity, providing a reference for drought early warning and long-term trend prediction in the Jitai Basin.
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