Streamflow projection under CMIP6 climate scenarios using a support vector regression: a case study of the Kurau River Basin of Northern Malaysia

被引:2
|
作者
Nasir, Muhammad Adib Mohd [1 ]
Zainuddin, Zaitul Marlizawati [2 ]
Harun, Sobri [3 ]
Kamal, Md Rowshon [1 ]
Ismail, Habibu [4 ]
机构
[1] Univ Putra Malaysia, Fac Engn, Dept Biol & Agr Engn, Upm Serdang 43400, Selangor, Malaysia
[2] Univ Teknol Malaysia, Fac Sci, Dept Math Sci, Utm Johor Bahru 81310, Johor, Malaysia
[3] Univ Teknol Malaysia, Fac Civil Engn, Dept Water & Environm Engn, Utm Johor Bahru 81310, Johor, Malaysia
[4] Ahmadu Bello Univ, Dept Agr & Bioresources Engn, Zaria 810107, Nigeria
关键词
Streamflow; Climate change; Coupled model intercomparison project phase 6 (CMIP6); Support vector regression (SVR); MODEL; RAINFALL; PERFORMANCE; SIMULATION; ALGORITHM; IMPACTS; TRENDS;
D O I
10.1007/s12665-024-11435-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The forecasting of future streamflow aids researchers and policymakers to understand how changes in climate affect hydrological systems. However, traditional computational approaches demand intensive data specifically for the basin, and it is costly. The shift towards more contemporary and data-driven approaches known as support vector regression (SVR) in hydrological modeling utilizing only the hydro-climate data from Coupled Model Intercomparison Project Phase 6 (CMIP6) provides rapid input-output data processing with accurate future projection. CMIP6 is an updated and improved Global Climate Models (GCMs) for the exploration of the specific impacts of changing streamflow patterns for improved water management in agricultural areas. The delta change factor method was used to generate climate sequences, fed into the SVR model to project streamflow from 2021 to 2080. The SVR model fitted reasonably well, demonstrated by several statistical indicators, including Kling-Gupta Efficiency (KGE), Nash-Sutcliffe Efficiency (NSE), Percent Bias (PBias), and Root Mean Squared Error (RMSE), with the training phase performance surpassing the testing phase. Future projections indicated increased rainfall during the dry season for most months, excluding April to June. The rise in precipitation was particularly pronounced during the wet season. Maximum and minimum temperature projections increased for all SSPs, with SSP5-8.5 predicted a substantial increase. The projection revealed that seasonal streamflow changes would range between - 19.1% to - 1.2% and - 7.5% to - 3.1% in the dry and wet seasons, respectively. A considerable streamflow reduction is anticipated for all SSPs in April and May due to increased temperatures, with the most pronounced impact in the SSP5-8.5. Assessing the effects of climate variations on water resource availability is crucial for identifying effective adaptation strategies to address the anticipated rise in irrigation demands due to global warming. The projected streamflow changes due to potential climate impacts are significant for Bukit Merah Reservoir, aiding the formulation of appropriate operational strategies for irrigation releases.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] An exhaustive investigation of changes in projected extreme precipitation indices and streamflow using CMIP6 climate models: A case study
    Suram Anil
    P Anand Raj
    Journal of Earth System Science, 133
  • [42] Spatiotemporal change of climate extremes under the projection of CMIP6 model analysis over Awash Basin, Ethiopia
    Alemu, Mikhael G.
    Wubneh, Melsew A.
    Sahlu, Dejene
    Zimale, Fasikaw A.
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2023, 9 (06)
  • [43] Spatiotemporal change of climate extremes under the projection of CMIP6 model analysis over Awash Basin, Ethiopia
    Mikhael G. Alemu
    Melsew A. Wubneh
    Dejene Sahlu
    Fasikaw A. Zimale
    Sustainable Water Resources Management, 2023, 9
  • [44] Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina
    Pokhrel, Indira
    Kalra, Ajay
    Rahaman, Md Mafuzur
    Thakali, Ranjeet
    FORECASTING, 2020, 2 (03): : 323 - 345
  • [45] Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin, Malaysia
    Tan, Mou Leong
    Ibrahim, Ab Latif
    Yusop, Zulkifli
    Chua, Vivien P.
    Chan, Ngai Weng
    ATMOSPHERIC RESEARCH, 2017, 189 : 1 - 10
  • [46] Intensification of Extreme Rainfall in Indian River Basin: Using Bias Corrected CMIP6 Climate Data
    Chaubey, Pawan K.
    Mall, Rajesh K.
    EARTHS FUTURE, 2023, 11 (09)
  • [47] Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projectionsHydro-climatic variability in the potohar plateau of Indus River basin under CMIP6 climate projectionsAU. Khan et al
    Ahsan Ullah Khan
    Shakil Ahmad
    Khalil Ahmad
    Muhammad Azmat
    Zakir Hussain Dahri
    Muhammad Wasif Khan
    Zafar Iqbal
    Theoretical and Applied Climatology, 2025, 156 (1)
  • [48] Effects of climate change on wet and dry spells in Kelantan River basin using physically-based hydrological model and CMIP6 scenarios
    Arbai, Nurul Afiqah Mohamad
    Irie, Masayasu
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2025, 58
  • [49] Investigating Impacts of Climate Change on Runoff from the Qinhuai River by Using the SWAT Model and CMIP6 Scenarios
    Sun, Jinqiu
    Yan, Haofang
    Bao, Zhenxin
    Wang, Guoqing
    WATER, 2022, 14 (11)
  • [50] Evaluation and Projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models
    Sardana, Divya
    Kulkarni, Sujata
    Agarwal, Ankit
    CLIMATE DYNAMICS, 2025, 63 (04)