Open Access Paper
10 November 2021 Spatial distribution characteristics of nutrients in Dianchi Lakeside (Withdrawal Notice)
Zhen Ling, Shan Xu, Minghua Dong, Guojian Feng, Hong Huo
Author Affiliations +
Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120505Y (2021) https://doi.org/10.1117/12.2614664
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
In order to explore the spatial distribution characteristics of nutrients in the dianchi Lakeside and its influence on the eutrophication of dianchi Lake water, 21 sampling points were set up in the dianchi Lakeside to investigate the water quality, and the water samples of Dianchi Lake were collected, analyzed and measured TN, TP, CODCr, Chla and SS. The results showed that the spatial distribution of TN, TP, CODCr, Chla and SS concentrations in the lakeside of Dianchi differed. The spatial distribution of chlorophyll a showed a trend of high in the north and low in the south, and high in the west and low in the east. Chla was highly significantly correlated with TN in the northern and eastern water bodies in the lakeside of Dianchi, and TN had strong variability. In the south and west, TN is significantly correlated with CODCr and TP, while in the south, chlorophyll a and nutrients have less spatial variability and the risk of pollution is relatively small. The scientific sub-regional pollution prevention and control plan for the lakeside of Dianchi is of great significance for the water quality restoration of the lakeside.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Ling, Shan Xu, Minghua Dong, Guojian Feng, and Hong Huo "Spatial distribution characteristics of nutrients in Dianchi Lakeside (Withdrawal Notice)", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120505Y (10 November 2021); https://doi.org/10.1117/12.2614664
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KEYWORDS
Pollution

Phosphorus

Environmental science

Nitrogen

Water contamination

Carbon monoxide

Environmental sensing

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