文献类型：期刊文献

英文题名：Typhoon-induced cascade effects on hydrological and biogeochemical dynamics in estuary-coast continuum: Insights from multidisciplinary observations and model forecasting in Zhanjiang Bay, China

作者：Long, Huizi[1];Zhang, Peng[1,2];Zhang, Jibiao[1];Gao, Menghan[3];Fan, Binbin[1];Hu, Zhangxi[3];Li, Zhihao[4];Chen, Rong[4]

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]Guangdong Ocean Univ, Coll Fisheries, Guangdong Prov Key Lab Aquat Anim Dis Control & Hl, Zhanjiang 524088, Peoples R China;[4]Guangzhou Heston Water Ecol Technol Co Ltd, Guangzhou 511447, Peoples R China

年份：2026

卷号：664

外文期刊名：JOURNAL OF HYDROLOGY

收录：SCI-EXPANDED(收录号：WOS:001623168600002)、、WOS

基金：Thanks for the financial support provided by Guangdong Basic and Applied Basic Research Foundation (2023A1515012769) , Guangdong Basic and Applied Basic Research Foundation (2020A1515110483) , Research and Development Projects in Key Areas of Guangdong Prov-ince (2020B1111020004) , Guangdong Ocean University Fund Project (R18021) ; Guangdong Provincial Graduate Education Innovation Pro-gram Project in 2025 (2025JGXM_084) and Graduate Education Inno-vation Program Project (202540) 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. Finally, thanks for Chairunnasa Br Sembiring for her diligent proofreading and language polishing of this manuscript.

语种：英文

外文关键词：Typhoon; Eutrophication; Algal bloom; Acidification; Biogeochemical cascade effects; CNN-LSTM model

外文摘要：Typhoons can trigger biogeochemical cascade effects, including eutrophication, algal blooms, acidification, and dissolved oxygen (DO) depletion in the estuary-coast continuum, yet the underlying mechanisms remain poorly understood. This study employed a multidisciplinary observation approach, combining high-frequency in situ monitoring with field surveys, to capture the dynamics of the cascade during Typhoon "Yagi" (Sep 2024) in Zhanjiang Bay (ZJB). The analysis incorporated multivariate hydrological, meteorological, and physicochemical parameters, stable isotopes (delta 15N-NO3-, delta 18O-NO3-, delta 18O-H2O, delta D-H2O), and phytoplankton community characterization. Results showed that during the pre-algal bloom period, freshwater discharge, fluxes of dissolved inorganic nitrogen (DIN), and dissolved inorganic phosphorus (DIP) increased by factors of 8.7, 43.4, and 3.0, respectively, relative to the pre-typhoon stage, while salinity decreased by 9.7 %. This nutrient surge exacerbated eutrophication, leading to a serious algal bloom eight days after the typhoon. Subsequent bloom decay triggered acidification and DO decline. Field investigations confirmed typhoon-driven freshwater input and algal blooms. Moreover, a deep learning model was developed for Chlorophyll-a forecasts, achieving 73 % relative accuracy (RA) in rolling 6-hour forecasting. Typhoon-driven nutrient surge triggered the cascade: Skeletonema costatum bloomed under extreme thermohaline perturbation and decayed rapidly, leading to acidification and DO depletion. This study advances mechanistic understanding of typhoon-driven cascading effects in tropical coastal ecosystems, providing a scientific basis for the assessment of their ecological consequences and predictive coastal management strategies.