Integrating advanced approaches for climate change impact assessment on water resources in arid regions

• Autorzy: Abdullaeva Barno S.

Identyfikatory

DOI

10.24425/jwld.2024.149116

• Języki publikacji: EN

Abstrakty

EN

This research addresses the growing complexity and urgency of climate change’s impact on water resources in arid regions. It combines advanced climate modelling, machine learning, and hydrological modelling to gain profound insights into temperature variations and precipitation patterns and their impacts on the runoff. Notably, it predicts a continuous rise in both maximum and minimum air temperatures until 2050, with minimum temperatures increasing more rapidly. It highlights a concerning trend of decreasing basin precipitation. Sophisticated hydrological models factor in land use, vegetation, and groundwater, offering nuanced insights into water availability, which signifies a detailed and comprehensive understanding of factors impacting water availability. This includes considerations of spatial variability, temporal dynamics, land use effects, vegetation dynamics, groundwater interactions, and the influence of climate change. The research integrates data from advanced climate models, machine learning, and real-time observations, and refers to continuously updated data from various sources, including weather stations, satellites, ground-based sensors, climate monitoring networks, and stream gauges, for accurate basin discharge simulations (Nash-Sutcliffe efficiency - NSE_RCP2.6 = 0.99, root mean square error - RMSE_RCP2.6 = 1.1, and coefficient of determination R2_RCP2.6 = 0.95 of representative concentration pathways 2.6 (RCP)). By uniting these approaches, the study offers valuable insights for policymakers, water resource managers, and local communities to adapt to and manage water resources in arid regions.

Słowa kluczowe

EN

arid region; climate change; hydrological modelling; machine learning; water resources

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2024
• Tom: no. 60
• Strony: 149--156
• Opis fizyczny: Bibliogr. 27 poz., rys., tab., wykr.

Twórcy

autor

Abdullaeva Barno S.

• Tashkent State Pedagogical University, Vice-Rector for Scientific Affairs, 27 Bunyodkor Ave, 100070, Tashkent, Uzbekistan

• https://orcid.org/0009-0004-7240-014X

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