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Climate change is one of the most significant challenges affecting the mountain ecosystem of the Issyk-Kul region, particularly Lake Issyk-Kul. The lake is a vital component of this ecosystem, requiri...ng extensive monitoring and analysis through a broad set of environmental parameters. This study focuses on forecasting the impact of interrelated factors—such as the lake ecosystem, coastal zones, atmosphere, and water quality—on the regional climate. The primary goal is to model the aquatic mountain ecosystem of Issyk-Kul using machine learning and deep learning algorithms to assess the influence of key qualitative parameters, particularly air and water. For this purpose, specific sampling points were selected across the region. At each site, air and water samples were collected and analyzed to evaluate their quality and purity. The findings aim to support environmental monitoring and contribute to developing adaptive strategies for climate resilience in mountainous lake ecosystems.続きを見る
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Mendeley出力
2025_p0724