Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models
文献类型：期刊论文
| 作者 | Liu, Lili; Dong, Yongcheng; Kong, Ming; Zhou, Jian; Zhao, Hanbin; Tang, Zhou; Zhang, Meng; Wang, Zhiping |
| 刊名 | CHEMOSPHERE
 |
| 出版日期 | 2020 |
| 卷号 | 242 |
| 英文摘要 | Eutrophication pollution seriously threatens the sustainable development of Lake Taihu, China. In order to identify the primary parameters of water quality and the potential pollution sources, the water quality dataset of Lake Taihu (2010-2014) was analyzed with the water quality index (WQI) and multivariate statistical analysis methods. Principle component analysis/factor analysis (PCA/FA) and correlation analysis screened out five significant water quality indicators, i.e. potassium permanganate index (CODMn), total nitrogen (TN), total phosphorus (TP), chloride ion (Cl-) and dissolved oxygen (DO), to represent the whole datasets and evaluate the water quality with WQI. Since northwestern of Lake Taihu was the most heavily polluted area, the parameters of the water quality were analyzed to further explore the potential sources and their contributions. Five potential pollution sources of northwestern lake were identified, and the contribution rate of each pollution source was calculated by the absolute principal component score-multiple linear regression (APCS-MLR) and positive matrix factorization (PMF) models. In brief, the PMF model was more suitable for pollution source apportionment of the northwestern lake, and the contribution rate was ranked as agricultural non-point source pollution (26.6%) > domestic sewage discharge (23.5%) > industrial wastewater discharge and atmospheric deposition (20.6%) > phytoplankton growth (16.0%) > rainfall or wind disturbance (13.4%). This study might provide useful information for the optimization of water quality management and pollution control strategies of Lake Taihu. (C) 2019 Elsevier Ltd. All rights reserved. |
| 源URL | [http://159.226.73.51/handle/332005/20269]  |
| 专题 | 中国科学院南京地理与湖泊研究所 |
| 推荐引用方式 GB/T 7714 | Liu, Lili,Dong, Yongcheng,Kong, Ming,et al. Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models[J]. CHEMOSPHERE,2020,242. |
| APA | Liu, Lili.,Dong, Yongcheng.,Kong, Ming.,Zhou, Jian.,Zhao, Hanbin.,...&Wang, Zhiping.(2020).Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models.CHEMOSPHERE,242. |
| MLA | Liu, Lili,et al."Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models".CHEMOSPHERE 242(2020). |
入库方式： OAI收割
来源：南京地理与湖泊研究所
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