Suppr超能文献

Decoding the drivers of variability in chlorophyll-a concentrations in the Pearl River Estuary: Intra-annual and inter-annual analyses of environmental influences.

作者信息

Ma Chunlei, Zhao Jun, Zhang Guang

机构信息

School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519082, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China.

School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519082, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, Guangdong, China; Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, 510500, Guangdong, China.

出版信息

Environ Res. 2025 Mar 1;268:120783. doi: 10.1016/j.envres.2025.120783. Epub 2025 Jan 6.

Abstract

Temporal variability and associated driving factors of sea surface chlorophyll-a concentration (Chl-a) in coastal waters have been extensively studied worldwide; however, the importance and spatial heterogeneity of these driving factors remain insufficiently documented. This study addressed this gap by investigating the Pearl River Estuary (PRE) from August 2002 to June 2016, using long-term remote sensing-derived data of Chl-a and potential driving factors, including total suspended solids (TSS), precipitation, photosynthetically active radiation (PAR), and sea surface temperature (SST); and in situ measurements of potential driving factors, including river discharge, wind speed, alongshore wind (u), cross-shore wind (v), and tidal range. A pixel-by-pixel correlation analysis was conducted to preliminarily examine the relationships between these potential driving factors and Chl-a. Subsequently, random forest regression was applied to determine the primary factors in driving the intra-annual and inter-annual variations of Chl-a. Results indicate that, at the intra-annual scale, TSS was the primary factor influencing Chl-a in the shallow (<10 m) nearshore regions and the deep (>30 m) offshore regions, while SST was most important in the intermediate zone. Additionally, in certain areas of the Lingding Bay, Chl-a was primarily affected by river discharge. At the inter-annual scale, tidal range was the primary factor in the western Lingding Bay and the western coastal waters, while Chl-a was primarily modulated by SST in the eastern Lingding Bay. In the offshore region, Chl-a was primarily modulated by river discharge, v, precipitation, and TSS. These findings are of fundamental importance for advancing our understanding of the characteristics and associated mechanisms of marine environmental variability in estuarine systems. They provide a scientific basis for informed management of estuarine environments and sustainable economic development.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验