scholarly journals Including Mixtures in the Determination of Water Quality Criteria for Herbicides in Surface Water

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

2017 ◽  
Vol 57 ◽  
pp. 127-136 ◽  
Author(s):  
Tieyu Wang ◽  
Yunqiao Zhou ◽  
Cencen Bi ◽  
Yonglong Lu ◽  
Guizhen He ◽  
...  


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>



1999 ◽  
Vol 40 (2) ◽  
pp. 97-103 ◽  
Author(s):  
O. D. Kuchanwar ◽  
C. K. Kale ◽  
V. P. Deshpande ◽  
D. M. Dharmadhikari

The quantity and quality of water available for irrigation is variable from place to place in India. There are regions where the farmers have no access to any surface water body, nor do they have any ground water source yielding water of acceptable quality for irrigation. In some of the coastal areas, neither surface water nor ground water of acceptable quality may be available. In such areas, setting up an industry and transporting good quality surface water from long distances to the site may be useful for farmers in the adjacent areas; the treated wastewater from the industry may constitute a dependable source for irrigation. This paper gives a brief account of some of these peculiar situations. Whatever the situation, it is necessary that the water used for irrigation is of an acceptable quality for the crop concerned, growing on the soil of the site. For a given crop, during its growth cycle, it is essential that the concentration of the soil solution around the root zone with regard to dissolved solids and specific ions, does not exceed the tolerance limit for the crop. The tolerance limits for various crops are different, representing 8- to 10-fold variation. Soil type and meteorological parameters of the site, for a given irrigation scheduling, also govern as to what will be the maximum soil solution concentration during the growth cycle of the crop. For a given crop, given soil and prevailing climate, the quality of irrigation water and management ultimately determine this maximum level. At a given place, the type of soil and meteorological parameters cannot be managed by human beings. The farmer can, however, exercise some control on the quality of irrigation water by selecting an appropriate source or changing the quality by dilution and/or he can make certain changes in the agronomic control and crop selection. In this paper, an attempt has been made to describe a few more important irrigation water quality criteria which will be easy for the users to follow and arrive at a decision on management, agronomic controls including crop selection, and search for an alternative water source of acceptable quality. This paper also describes a few cases of application of the irrigation water quality criteria in helping to make relevant decisions.



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


2021 ◽  
Vol 1 (42) ◽  
pp. 78-85
Author(s):  
Giao Thanh Nguyen

Water quality is critical for a healthy ecosystem, this study was conducted to evaluate the surface water quality in lakes in An Giang Province from 2017 to 2019. Water quality was assessed using variables of temperature, pH, dissolved oxygen (DO), total suspended solids (TSS), chemical oxygen demand (COD), biological oxygen demand (BOD), nitrate (NO3- - N), phosphate (PO3 4- - P ), ammonia (NH+ 4 - N), and coliforms at nine locationsbelonging to seven reservoirs including O Tuk Sa, Thuy Liem, Soai So, Soai Chek, O Thum, O Ta Soc, and Bung Binh Thien. Water quality criteria were assessed according to the National Technical Regulation on Surface Water Quality (QCVN 08-MT: 2015/BTNMT). Cluster analysis (CA) and principal component analysis (PCA)were applied to group water quality to identify the main parameters affecting water quality in the reservoirs. The findings indicated that the water quality in the reservoirs were polluted by TSS, organic matters (DO was low, while COD and BOD were high), and microorganisms (coliforms). The PCA analysis showed that the watervariables including temperature, pH, DO, TSS, COD, BOD, NO3- - N, PO3 4- - P , NO3- - N, and coliforms significantly influenced the surface of the water in the reservoirs. It is necessary to investigate pollution sources to propose appropriate solutions to treat and maintain the water quality in the reservoirs of An Giang Province .



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>



Author(s):  
Ping Wang ◽  
Lewis Linker ◽  
James Collier ◽  
Gary Shenk ◽  
Robert Koroncai ◽  
...  


2015 ◽  
Vol 2 (0) ◽  
pp. 9781780404073-9781780404073
Author(s):  
M. Kavanaugh


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