Assessing the impacts of extreme precipitation projections on Haihe Basin hydrology using an enhanced SWAT model

被引:0
|
作者
Tan, Lili [1 ]
Qi, Junyu [4 ]
Marek, Gary W. [5 ]
Zhang, Xueliang [2 ]
Ge, Jianing [2 ,3 ]
Sun, Danfeng [2 ]
Li, Baogui [2 ,3 ]
Feng, Puyu [2 ,3 ]
Liu, De Li [6 ,7 ]
Li, Baoguo [2 ,3 ]
Srinivasan, Raghavan [8 ]
Chen, Yong [2 ,3 ]
机构
[1] Ludong Univ, Coll Hydraul & Civil Engn, Yantai 264025, Peoples R China
[2] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[3] Minist Agr & Rural Affairs, Key Lab Arable Land Conservat North China, Beijing 100193, Peoples R China
[4] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA
[5] ARS, USDA, Conservat & Prod Res Lab, Bushland, TX 79012 USA
[6] NSW Dept Primary Ind, Wagga Wagga Agr Inst, Wagga Wagga, NSW 2650, Australia
[7] Univ New South Wales, Climate Change Res Ctr, Sydney 2052, Australia
[8] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA
基金
美国食品与农业研究所; 中国国家自然科学基金;
关键词
Extreme precipitation indices; Contribution rate; Basin scale; Hydrological factors; SWAT; GCMs; DEGREES-C; CLIMATE-CHANGE; CHINA; INDEXES; EVAPOTRANSPIRATION; TEMPERATURE;
D O I
10.1016/j.ejrh.2025.102235
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Haihe Basin (HB), North China. Study focus: Studying the impact of extreme precipitation on watershed hydrological factors plays a crucial role in water resource management, climate adaptation, and disaster resilience. An improved Soil and Water Assessment Tool (SWAT) was employed to assess the impact of extreme precipitation indices (EPIs) on temporal and spatial variations in hydrological factors in the HB, China. Five EPIs were identified in this study, including R10 (moderate rain), R20 (heavy rain), R50 (torrential rain), R95p (95th percentile of precipitation), and R99p (99th percentile of precipitation). New hydrological insights for the region: The EPIs with the greatest contribution rates to precipitation, water yield, and percolation in the historical period were R20 (32.1 %), R50 (14.3 %), and R20 (29.0 %), respectively, for the entire basin. During the historical period, there were more occurrences of extreme precipitation events in the plain area compared to the mountainous area. In the plain area, rainfall was beneficial for replenishing groundwater when daily precipitation exceeded 50 mm. Over the entire future period (2041-2100), R50 contributed the greatest water yield (18.4 %) and percolation (36.3 %) in the HB. Furthermore, the number of days with rainfall from 20 to 50 mm d- 1 and those exceeding 50 mm d- 1 increased in the future period relative to the historical period. The results of this study provide a reference for understanding the spatiotemporal distribution pattern of extreme precipitation in the HB and for relevant departments to formulate response strategies.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Assessing Drought Risk of Laohahe River Basin Using SWAT
    Hao, Lu
    Wang, Jing-ai
    Gao, Lu
    THEORY AND PRACTICE OF RISK ANALYSIS AND CRISIS RESPONSE, PROCEEDINGS, 2008, : 586 - +
  • [32] Assessing the Impact of Areal Precipitation Input on Streamflow Simulations Using the SWAT Model1
    Masih, Ilyas
    Maskey, Shreedhar
    Uhlenbrook, Stefan
    Smakhtin, Vladimir
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2011, 47 (01): : 179 - 195
  • [33] Impacts of extreme precipitation on water conservation in Beijiang River Basin, China
    Xu, Fei
    Zhao, Lingling
    Zhou, Yuyan
    Yang, Ji
    Jing, Wenlong
    Deng, Yingbin
    Li, Zehua
    JOURNAL OF HYDROLOGY, 2024, 637
  • [34] Assessing the impact of climatic change on discharge in Swat river basin using fuzzy logic model
    Dawood M.
    Rahman A.-U.
    Mahmood S.
    Rahman G.
    Nazir S.
    Arabian Journal of Geosciences, 2021, 14 (18)
  • [35] Assessing Climate Change Impact on Water Balance Components of a River Basin Using SWAT Model
    Bhumika Uniyal
    Madan Kumar Jha
    Arbind Kumar Verma
    Water Resources Management, 2015, 29 : 4767 - 4785
  • [36] Assessing Climate Change Impact on Water Balance Components of a River Basin Using SWAT Model
    Uniyal, Bhumika
    Jha, Madan Kumar
    Verma, Arbind Kumar
    WATER RESOURCES MANAGEMENT, 2015, 29 (13) : 4767 - 4785
  • [37] Simulating the impacts of climate change on hydrology and crop production in the Northern High Plains of Texas using an improved SWAT model
    Chen, Yong
    Marek, Gary W.
    Marek, Thomas H.
    Moorhead, Jerry E.
    Heflin, Kevin R.
    Brauer, David K.
    Gowda, Prasanna H.
    Srinivasan, Raghavan
    AGRICULTURAL WATER MANAGEMENT, 2019, 221 : 13 - 24
  • [38] Assessing the trade-off between shallow groundwater conservation and crop production under limited exploitation in a well-irrigated plain of the Haihe River basin using the SWAT model
    Zhang, Xueliang
    Ren, Li
    Wan, Li
    JOURNAL OF HYDROLOGY, 2018, 567 : 253 - 266
  • [39] Evaluation and projections of extreme precipitation using a spatial extremes framework
    Yang, Lichao
    Franzke, Christian L. E.
    Duan, Wansuo
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2023, 43 (07) : 3453 - 3475
  • [40] Assessing coincidence probability for extreme precipitation events in the Jinsha River basin
    Zhu, Shuang
    Xu, Zhanya
    Luo, Xiangang
    Wang, Chao
    Wu, Jiang
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 139 (1-2) : 825 - 835