Modeling climate change projection and its impact on the streamflow in the Yadot watershed, Genale Dawa basin, Ethiopia DOI Creative Commons

Abay Mustefa Abdule,

Alemayehu Muluneh,

Abraham Woldemichael

et al.

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(8), P. 3487 - 3505

Published: Aug. 1, 2024

ABSTRACT Varied streamflow response to climate between river basins and seasons highlight the importance of further research on different watersheds in help plan adaptation options at watershed scale. This study investigated hydrological impacts change over Yadot watershed. The multi model ensemble three regional models (CCLM4.8, RACMO22T, RCA4) under RCP4.5 RCP8.5 emission scenarios for 2021 -2050 2051–2080 were used. SWAT was used simulate streamflow. Climate projections have indicated that precipitation will slightly increase during both wet dry from 0.59%–2.08% 0.02%–1.59%, respectively. annual projected by 0.13%–1.66%. maximum minimum temperatures increased a range 0.61°C–1.9°C 0.65°C–2.07°C, Similarly, 1.07°C–2.01°C 0.06°C–1.66°C, season 6.23%–9.36% 3.16%–5.46%, findings this can guide water resources planners designers planning managing effectively future use.

Language: Английский

Integrating artificial intelligence and machine learning in hydrological modeling for sustainable resource management DOI

Stephanie Marshall,

Thanh‐Nhan‐Duc Tran, Mahesh R. Tapas

et al.

International Journal of River Basin Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 27, 2025

Language: Английский

Citations

1
Investigating the impact of climate change on irrigation and crop water requirements of Bhadra and Tungabhadra command area: A CMIP-6 GCMs and CROPWAT 8.0 approach DOI Creative Commons

G. K. Rudraswamy,

N. V. Umamahesh

Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: 24(2), P. 625 - 642

Published: Feb. 1, 2024

Abstract The effect of climate change on water availability and agriculture demand is crucial for assessing agricultural productivity economic development in semi-arid regions. present study examines the crop requirement (CWR) irrigation (IWR) Bhadra Tungabhadra (TB) command areas, with a focus forecasting future needs. Using CROPWAT 8.0 software, CWR IWR were estimated base period (1975–2010) three periods: near (2023–2048), middle (2049–2074), far (2075–2099). Five best-performing Global Climate Models (GCMs) utilized under two shared socioeconomic pathways (SSPs) (i.e., SSP-245 SSP-585). results indicate that area, increases during kharif season both SSPs. However, monthly experiences significant decrease, except June. In TB shows decreasing trend, while seasons periods. SSP-585 scenario exhibits more pronounced increment areas. enhance comprehension dynamics assisting policymakers stakeholders devising effective strategies to address impacts encourage sustainable practices.

Language: Английский

Citations

6
A surrogate model for the variable infiltration capacity model using physics-informed machine learning DOI Creative Commons
Haiting Gu, Xiao Liang, Li Liu

et al.

Journal of Water and Climate Change, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 18, 2025

ABSTRACT In this study, a physics-informed machine learning-based surrogate model (SM) for the variable infiltration capacity (VIC) was developed to improve simulation efficiency in Yarlung Tsangpo River basin. The approach combines empirical orthogonal function decomposition of low-fidelity VIC models extract spatial and temporal features, with learning techniques applied refine feature series. This allows accurate reconstruction high-fidelity simulations from results model. Using SM built 1.0°-resolution as an example, study highlights challenges solutions associated simulations. significantly improves accuracy, achieving Kling–Gupta 0.88, Nash–Sutcliffe 0.97, PBIAS value −6.21% reduced computational demands. Additionally, different methods impact performance SM, support vector regression performing best these methods. SMs varying resolutions maintain similar but higher notably enhance efficiency, reducing time by 86.31% when compared These findings demonstrate potential while requirements.

Language: Английский

Citations

0
Integrated Spatio-Temporal and Environmental Modelling of Water Scarcity in Saudi Arabia Using Shared Socioeconomic Pathways DOI Creative Commons

Ai Likun,

Mohammad Suhail, Mohd Nazish Khan

et al.

Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101151 - 101151

Published: April 1, 2025

Language: Английский

Citations

0
Projected water availability in the Tawa River Basin India in changing climate DOI
Pragya Badika, Mahendra Kumar Choudhary,

Tejram Nayak

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101176 - 101176

Published: April 21, 2024

Language: Английский

Citations

1
HEC-HMS-based future streamflow simulation in the Dhaka River Basin under CMIP6 climatologic projections DOI Creative Commons
Md Rabiul Islam, Md. Tareq Aziz, H. M. Imran

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Abstract This study aims at developing a physically based semi-distributed rainfall-runoff model in the HEC-HMS platform to predict historical and future stream flow of Dhaka River basin. adopted integrated several physio-hydrographic parameters as input data, such LULC, HSG, DEM, observed flow, projected precipitation ACCESS-CM2 ensemble Coupled Model Intercomparison Project Phase 6 (CMIP6). The predictability is subject functions simulation controls. After architecture, during calibration, Nash-Sutcliffe efficiency (NSE) 0.78 coefficient determination (R2) 0.81 were found, which indicates efficacy setup. Furthermore, validation phase, demonstrated its robust performance, with R2 = 0.80 NSE 0.78. showed predicted yearly peak discharge about 341685.8 m3/s, 330017.4 315588.9 m3/s under SSP1-2.6, SSP2-4.5, SSP5-8.5 scenarios, respectively. Here, Mann-Kendall Sen's slope tests conducted analyze daily, monthly, trends they substantiate significant increase daily streamflow both SSP1-2.6 SSP2-4.5 scenarios gradual monthly May SSP5-8.5, well July August SSP1-2.6. Outcome this underscores model’s robustness contributes vital perceptions for flood control mitigation strategies.

Language: Английский

Citations

1
Climate change impact assessment on the hydrological response of the Tawa basin for sustainable water management DOI
Pragya Badika, Akash Singh Raghuvanshi, Ankit Agarwal

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101249 - 101249

Published: June 18, 2024

Language: Английский

Citations

1
Modeling climate change projection and its impact on the streamflow in the Yadot watershed, Genale Dawa basin, Ethiopia DOI Creative Commons

Abay Mustefa Abdule,

Alemayehu Muluneh,

Abraham Woldemichael

et al.

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(8), P. 3487 - 3505

Published: Aug. 1, 2024

ABSTRACT Varied streamflow response to climate between river basins and seasons highlight the importance of further research on different watersheds in help plan adaptation options at watershed scale. This study investigated hydrological impacts change over Yadot watershed. The multi model ensemble three regional models (CCLM4.8, RACMO22T, RCA4) under RCP4.5 RCP8.5 emission scenarios for 2021 -2050 2051–2080 were used. SWAT was used simulate streamflow. Climate projections have indicated that precipitation will slightly increase during both wet dry from 0.59%–2.08% 0.02%–1.59%, respectively. annual projected by 0.13%–1.66%. maximum minimum temperatures increased a range 0.61°C–1.9°C 0.65°C–2.07°C, Similarly, 1.07°C–2.01°C 0.06°C–1.66°C, season 6.23%–9.36% 3.16%–5.46%, findings this can guide water resources planners designers planning managing effectively future use.

Language: Английский

Citations

1