인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study examines the complex effects of climate change on water resources, highlighting the critical need for comprehensive analysis and adaptive management approaches. Projections suggest a 10–30% decrease in freshwater availability across arid tropical regions by 2080, with substantial economic impacts anticipated in South Asia and Africa. While global assessments exist, systematic evaluations of Asian river basins remain limited. Recent investigations in India reveal marked climatic influences, including temperature increases and precipitation anomalies. State-of-the-art modeling frameworks, including the Coupled Model Intercomparison Project (CMIP), enhance climate projections and inform adaptation strategies. Alterations in precipitation patterns, especially within the Indian monsoon system, present serious challenges to agricultural, industrial, and municipal water supplies. Elevated temperatures exacerbate evaporation rates and intensify hydrological extremes, including droughts and flood events. Hydrological models such as WetSpa, SWAT, and MODFLOW simulate climate-induced changes in groundwater recharge and flow regimes, offering critical insights for sustainable resource management. Artificial intelligence (AI) and machine learning (ML) techniques significantly improve groundwater prediction and management capabilities. Advanced methods like Artificial Neural Networks (ANNs) enable precise forecasting, while hybrid models integrating AI/ML with conventional approaches enhance predictive accuracy by addressing nonlinear relationships and optimizing computational efficiency. This research emphasizes the necessity of combining cutting-edge modeling, AI/ML innovations, and traditional methodologies to develop resilient water management systems in response to climate change.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.