Hydrological modeling;
Climate change;
CMIP6 bias correction;
Floods;
wildfire;
and landslides;
South Asian Monsoon;
CLIMATE-CHANGE;
EXTREME PRECIPITATION;
HYDROLOGICAL RESPONSE;
BIAS CORRECTION;
SIMULATIONS;
PERFORMANCE;
STREAMFLOW;
MODELS;
D O I:
10.1016/j.ejrh.2024.102155
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: Indrawati River Basin (IRB) in Nepal. Study focus: We employ the Soil and Water Assessment Tool model, calibrated and validated with historical data, to assess the hydrological responses of the IRB to future climate scenarios. These scenarios are projected using an ensemble of five bias-corrected CMIP6 climate models under Shared Socioeconomic Pathways 2-4.5 and SSP 5-8.5 for three-time frames: Near Future (2025-2050), Mid Future (MF) (2051-2075), and Far Future (2076-2100). The bias correction was done using Robust Empirical Quantiles for precipitation and linear parametric transformation functions for temperature. New hydrological insights for the region: The study reveals significant shifts in the IRB's hydrological patterns, including an extended rainy season-most pronounced under SSP 5-8.5 in the MF scenario-and an increase in annual discharge, especially during the South Asian Monsoon. Notably, there is an amplified flood risk due to heightened extreme flow events. Additionally, the analysis indicates increasing risks of wildfires and landslides given the rise in pre-monsoon dry spells, which exacerbates the cascading devastation such as debris flow. These insights underscore the urgent need for tailored water resource management, resilient infrastructure, and forwardlooking policies to mitigate the impending hydro-meteorological challenges of climate change.
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan ProvinceCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Yiwei ZHANG
Guangzhou FAN
论文数: 0引用数: 0
h-index: 0
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science &TechnologyCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Guangzhou FAN
Wei HUA
论文数: 0引用数: 0
h-index: 0
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science &TechnologyCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Wei HUA
Yongli ZHANG
论文数: 0引用数: 0
h-index: 0
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan ProvinceCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Yongli ZHANG
Bingyun WANG
论文数: 0引用数: 0
h-index: 0
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan ProvinceCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province
Bingyun WANG
Xin LAI
论文数: 0引用数: 0
h-index: 0
机构:
College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan ProvinceCollege of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province