Fabian Pamela Sofia, Kwon Hyun-Han, Vithanage Meththika, Lee Joo-Heon
Department of Civil and Environmental Engineering, Sejong University, Seoul, 05006, South Korea.
Department of Civil and Environmental Engineering, Sejong University, Seoul, 05006, South Korea.
Environ Res. 2023 May 15;225:115617. doi: 10.1016/j.envres.2023.115617. Epub 2023 Mar 4.
The increasing frequency and intensity of extreme climate events are among the most expected and recognized consequences of climate change. Prediction of water quality parameters becomes more challenging with these extremes since water quality is strongly related to hydro-meteorological conditions and is particularly sensitive to climate change. The evidence linking the influence of hydro-meteorological factors on water quality provides insights into future climatic extremes. Despite recent breakthroughs in water quality modeling and evaluations of climate change's impact on water quality, climate extreme informed water quality modeling methodologies remain restricted. This review aims to summarize the causal mechanisms across climate extremes considering water quality parameters and Asian water quality modeling methods associated with climate extremes, such as floods and droughts. In this review, we (1) identify current scientific approaches to water quality modeling and prediction in the context of flood and drought assessment, (2) discuss the challenges and impediments, and (3) propose potential solutions to these challenges to improve understanding of the impact of climate extremes on water quality and mitigate their negative impacts. This study emphasizes that one crucial step toward enhancing our aquatic ecosystems is by comprehending the connections between climate extreme events and water quality through collective efforts. The connections between the climate indices and water quality indicators were demonstrated to better understand the link between climate extremes and water quality for a selected watershed basin.
极端气候事件频率和强度的增加是气候变化最可预期和公认的后果之一。由于水质与水文气象条件密切相关，且对气候变化尤为敏感，因此在这些极端情况下预测水质参数变得更具挑战性。水文气象因素对水质影响的相关证据为洞察未来气候极端情况提供了思路。尽管近期在水质建模以及评估气候变化对水质的影响方面取得了突破，但基于气候极端情况的水质建模方法仍然有限。本综述旨在总结考虑水质参数的各类气候极端情况的因果机制，以及与洪水和干旱等气候极端情况相关的亚洲水质建模方法。在本综述中，我们（1）确定了在洪水和干旱评估背景下水质建模和预测的当前科学方法，（2）讨论了挑战和障碍，（3）针对这些挑战提出了潜在解决方案，以增进对气候极端情况对水质影响的理解并减轻其负面影响。本研究强调，通过共同努力理解气候极端事件与水质之间的联系是改善我们水生生态系统的关键一步。通过展示气候指数与水质指标之间的联系，以便更好地理解选定流域盆地气候极端情况与水质之间的关系。
