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Yang Liu and Qianqian Zhang
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and...
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Shees Ur Rehman, Afzal Ahmed, Gordon Gilja, Manousos Valyrakis, Abdul Razzaq Ghumman, Ghufran Ahmed Pasha and Rashid Farooq
Nature-based solutions (NBSs) always provide optimal opportunities for researchers and policymakers to develop sustainable and long-term solutions for mitigating the impacts of flooding. Computing the hydrological process in hilly areas is complex compar...
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Federico Ferrelli, Melisa Pontrelli Albisetti, Andrea Soledad Brendel, Andrés Iván Casoni and Patrick Alan Hesp
In recent decades, there have been significant problems worldwide related to global warming and the intensification of extreme temperature and rainfall events. This research evaluated daily temperature and rainfall indices trends to identify whether warm...
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Qing Li, Yu Li, Lingyun Zhao, Zhixiong Zhang, Yu Wang and Meihong Ma
Accurately assessing the risk of flash floods is a fundamental prerequisite for defending against flash flood disasters. The existing methods for assessing flash flood risk are constrained by unclear key factors and challenges in elucidating disaster mec...
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Devendra M. Amatya, Timothy J. Callahan, Sourav Mukherjee, Charles A. Harrison, Carl C. Trettin, Andrzej Walega, Dariusz Mlynski and Kristen D. Emmett
Hydrology and meteorological data from relatively undisturbed watersheds aid in identifying effects on ecosystem services, tracking hydroclimatic trends, and reducing model uncertainties. Sustainable forest, water, and infrastructure management depends o...
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