scholarly journals Organochlorine Pesticides in Surface Water of Jiuxi Valley, China: Distribution, Source Analysis, and Risk Evaluation

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Zheng Liu ◽  
Guanlin Zheng ◽  
Zhen Liu

Residual levels of 11 organochlorine pesticides (OCPs) in surface water of Jiuxi Valley were determined during spring and autumn at nine sampling points to assess their contamination and potential risks. The water samples were extracted by solid-phase extraction (SPE), and OCPs were analyzed by gas chromatograph equipped with a 63Ni-ECD detector. The investigation results indicated that the concentration of total OCPs varied from 4.07 to 13.5 ng·L−1 with an average value of 7.15 ng·L−1 in spring, and from 12.5 to 30.1 ng·L−1 with an average value of 19.9 ng·L−1 in autumn. Jiuxi Valley was slightly contaminated by OCPs, and the concentrations of ΣHCHs and ΣDDTs in the river were at relatively low levels. HCHs were the main pollutant in spring, and also in autumn, and α-HCH was the main component of the HCH isomers at most sampling points. Source analysis indicated that local use of lindane or input of fresh γ-HCH contributed to the presence of HCHs. New inputs were the major sources of DDTs, aldrin, heptachlor, and endrin. The OCP levels of this investigation were within the standard limits set by a majority of the water quality standards and guidelines of China, WHO, European Union, and Canada. However, although the γ-HCH concentrations at all sampling sites, endrin concentrations at all sampling sites, and β-HCH concentrations at most sampling sites were below the human health water quality standard, and the levels of other tested OCPs (α-HCH, p,p′-DDD, p,p′-DDE, p,p′-DDT, aldrin, and heptachlor) exceeded the value of EPA-recommended water quality criteria for human health, which indicated potential risks to human health around the region.

2021 ◽  
Vol 276 ◽  
pp. 116628
Author(s):  
Xiaonan Wang ◽  
Liang Cui ◽  
Ji Li ◽  
Cong Zhang ◽  
Xiangyun Gao ◽  
...  

2006 ◽  
Vol 40 (2) ◽  
pp. 426-435 ◽  
Author(s):  
Nathalie Chèvre ◽  
Christian Loepfe ◽  
Heinz Singer ◽  
Christian Stamm ◽  
Kathrin Fenner ◽  
...  

2020 ◽  
Author(s):  
Huu-Quang Nguyen ◽  
Quoc-Phuong Vuong ◽  
Ngoc-Anh Pham-Thi ◽  
Thuy-Tien Tran-Thi ◽  
Thi-Phuoc Ho ◽  
...  

<p>Analysis and management of surface water quality is a need for many economic and production fields, but requires much time and forces. Multivariate statistical algorithms are applied to the dataset, which made up from 19 water quality criteria collected from 10 sampling sites across waterways from Sai Gon river basin. PCA-X (PCA – <b>P</b>rinciple <b>C</b>omponent <b>A</b>nalysis) model of the dataset provides grouping by geographical location and flow direction, with explanation of the first 2 principal components are 62.4 and 25.2 %, respectively, which overviews the quality of water of these sampling sites, and allows determination of unexpected pollution sources from the system. These results are the basis of developing a method for delimiting and securing local pollution sites, assisting water quality monitoring and environmental management.</p>


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