Future Prediction of Consecutive Dry Days (CDD) in Rapti River Basin Using Model ACCESS-CM2 Climate Projection

Sonali Kumari, Vikram Singh, Shakti Suryavanshi
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Abstract

The Rapti River basin in India is a region increasingly vulnerable to extreme precipitation events, which pose significant challenges to water resource management and flood mitigation. This study investigates the extreme precipitation patterns in the Rapti River Basin, India, by analyzing historical and projected data using advanced climate models and indices. Utilizing the Expert Team on Climate Change Detection and Indices (ETCCDI) framework, we focus on Consecutive Dry Days (CDD). The study evaluates the trends under different global warming scenarios of 1.5˚C, 2˚C, and 3˚C, employing ACCESS-CM2 Model. The findings reveal significant variations in the trends and magnitudes of CDD across the different warming levels. At 1.5˚C, CDD shows a decreasing trend. At 2˚C, models project a continued decrease in CDD. At 3˚C, mixed trends are observed with notable increases in CDD, highlighting the potential for prolonged wet periods and increased flood risks. The study underscores the impact of climate change on the hydrological behavior of the Rapti River Basin, emphasizing the need for adaptive water resource management strategies. It provides valuable insights into the future precipitation trends in the Rapti River Basin, guiding the development of strategies to enhance resilience against climate-induced hydrological changes.
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利用 ACCESS-CM2 气候预测模型预测拉普提河流域未来连续干旱日 (CDD)
印度拉普提河流域越来越容易受到极端降水事件的影响,这给水资源管理和洪灾缓解带来了巨大挑战。本研究利用先进的气候模型和指数,通过分析历史数据和预测数据,研究了印度拉普提河流域的极端降水模式。利用气候变化检测和指数专家组(ETCCDI)框架,我们重点研究了连续干旱日(CDD)。研究采用 ACCESS-CM2 模型,评估了 1.5˚C、2˚C 和 3˚C 不同全球变暖情景下的趋势。研究结果表明,在不同的变暖水平下,CDD 的变化趋势和幅度都有很大差异。在 1.5˚C 时,CDD 呈下降趋势。在 2˚C 时,模型预测 CDD 将继续下降。在 3˚C 时,CDD 的变化趋势不一,CDD 明显增加,这表明可能会出现长期潮湿和洪水风险增加的情况。该研究强调了气候变化对拉普提河流域水文行为的影响,强调了适应性水资源管理战略的必要性。它为拉普提河流域未来的降水趋势提供了有价值的见解,为制定战略以提高应对气候引起的水文变化的能力提供了指导。
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