文献类型：期刊文献

英文题名：Effects of typhoon events on coastal hydrology, nutrients, and algal bloom dynamics: Insights from continuous observation and machine learning in semi-enclosed Zhanjiang Bay, China

作者：Zhang, Peng[1,2];Long, Huizi[1];Li, Zhihao[3];Chen, Rong[3];Peng, Demeng[1];Zhang, Jibiao[1]

机构：[1]Guangdong Ocean Univ, Coll Chem & Environm, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Res Ctr Coastal Environm Protect & Ecol Resilience, Zhanjiang 524088, Guangdong, Peoples R China;[3]Guangzhou Heston Elect Technol Co Ltd, Guangzhou 511447, Peoples R China

年份：2024

卷号：924

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：SCI-EXPANDED(收录号：WOS:001217681000001)、、EI(收录号：20241215775026)、Scopus(收录号：2-s2.0-85187955633)、WOS

基金：Thanks for the financial support provided by the Research and Development Projects in Key Areas of Guangdong Province (2020B1111020004), Guangdong Basic and Applied Basic Research Foundation (2020A1515110483), Guangdong Basic and Applied Basic Research Foundation (2023A1515012769), Guangdong Ocean University Fund Project (R18021); Science and Technology Special Project of Zhanjiang City (2019B01081); Innovation Strong School Project (230420021) of Guangdong Ocean University for funding. Special thanks to reviewers for their careful review and constructive suggestions. Thanks to all members of the research team and others involved in this study.

语种：英文

外文关键词：Typhoon; Nutrients; Algal bloom; Machine learning model; Coastal water

外文摘要：Typhoons can induce variations in hydrodynamic conditions and biogeochemical processes, potentially escalating the risk of algal bloom occurrences impacting coastal ecosystems. However, the impacts of typhoons on instantaneous changes and the mechanisms behind typhoon-induced algal blooms remain poorly understood. This study utilized high-frequency in situ observation and machine learning model to track the dynamic variations in meteorological, hydrological, physicochemical, and Chlorophyll-a (Chl-a) levels through the complete Typhoon Talim landing in Zhanjiang Bay (ZJB) in July 2023. The results showed that a delayed onset of algal bloom occurring 10 days after typhoon's arrival. Subsequently, as temperatures reached a suitable range, with an ample supply of nutrients and water stability, Chl-a peaked at 121.49 mu g L-1 in algal bloom period. Additionally, water temperature and air temperature decreased by 1.61 degrees C and 2.8 degrees C during the typhoon, respectively. In addition, wind speed and flow speed increased by 1.34 and 0.015 m s- 1 h- 1 to peak values, respectively. Moreover, the slow decline of 8.2 % in salinity suggested a substantial freshwater input, leading to an increase in nutrients. For instance, the mean DIN and DIP were 2.2 and 8.5 times higher than those of the pre-typhoon period, resulting in a decrease in DIN/DIP (closer to16) and the alleviation of P limitation. Furthermore, pH and dissolved oxygen (DO) were both low during the typhoon period and then peaked at 8.93 and 19.05 mg L-1 during the algal bloom period, respectively, but subsequently decreased, remaining lower than those of the pretyphoon period. A preliminary learning machine model was established to predict Chl-a and exhibited good accuracy, with R2 of 0.73. This study revealed the mechanisms of eutrophication status formation and algal blooms occurrence in the coastal waters, providing insights into the effects of typhoon events on tropical coastal biogeochemistry and ecology.