文献类型：期刊文献

英文题名：Towards the comprehensive water quality control in Lake Taihu: Correlating chlorphyll a and water quality parameters with generalized additive model

作者：Liu, Lili[1,2];Dong, Yongcheng[1];Kong, Ming[3];Zhou, Jian[4];Zhao, Hanbin[1];Wang, Yupeng[5];Zhang, Meng[1];Wang, Zhiping[6]

机构：[1]East China Univ Sci & Technol, Sch Resource & Environm Engn, State Environm Protect Key Lab Environm Risk Asse, Shanghai 200237, Peoples R China;[2]Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China;[3]Minist Environm Protect, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China;[4]Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China;[5]Shanghai Municipal Engn Design Inst Grp Co Ltd, Shanghai 200092, Peoples R China;[6]Shanghai Jiao Tong Univ, Sch Environm Sci & Technol, Shanghai 200240, Peoples R China

年份：2020

卷号：705

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20195007830089);WOS:【SCI-EXPANDED(收录号:WOS:000508129700162)】；

基金：This work was sponsored by the Major Science and Technology Program for Water Pollution Control and Treatment in China (2017ZX07202006, 2017ZX07206004), National Natural Science Foundation of China (41771513, 41907110, 41001316, 51108262) and National Key Research and Development Program (2018YFC1901000). We are grateful to Taihu Laboratory for Lake Ecosystem Research, Chinese Academy of Science for providing the monitoring data.

语种：英文

外文关键词：Generalized additive models; Chlorophyll a; Water quality parameters; Eutrophication control; Lake Taihu

摘要：In this study, the generalized additive model (GAM) was used to analyze seasonal monitoring data from Lake Taihu, collected from 2010 to 2014, with the aim to explore the correlation between chlorophyll a (Chia) and other water quality parameters. The selected optimal multivariable GAM could effectively explain the concentration variation of Chla occurring during each season, and the interpretation degree followed the order: summer > autumn > spring > winter. The fitting results indicated that the concentration variation of Chia could reflect that of biochemical oxygen demand and chemical oxygen demand in all seasons. In addition, the total phosphorus showed strong ability to explain the concentration change of Chla in spring and summer, as the growth of algae would be affected when the concentration of phosphorus shifted high or low. Nitrogen showed strong ability to explain the variations in Chia concentration in autumn. The condusions of the optimal multivariable GAM could provide decision basis for the eutrophication control. In other words, the prevention of eutrophication outbreaks could be carried out via the targeted control of key water pollutants. According to these results, the concentration of Chia was higher in northern and western lake during summer and autumn, the management should focus on nutrient input of adjacent rivers. (C) 2019 Elsevier B.V. All rights reserved.