Surface Water Quality Assessment in Beijing (China) Using GIS-Based Mapping and Multivariate Statistical Techniques

2014 ◽  
Vol 955-959 ◽  
pp. 1514-1526
Author(s):  
Lian Fang Li ◽  
Xi Bai Zeng ◽  
Guo Xue Li ◽  
Xu Rong Mei
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Multivariate Statistical ◽  
The Public ◽  
Weathering Processes ◽  
Natural Processes ◽  
Beijing China

The quality of surface water is a matter of serious concern nowadays. The surface water quality in a region is mainly determined both by the natural processes (precipitation rate, weathering processes, soil erosion) and the anthropogenic influences including urban, industrial and agricultural activities and increasing exploitation of water resources [1-. Since surface water in an area is often used for drinking, industrial, agriculture, recreation or other purposes. It is necessary to assess the water quality correctly to afford timely information to the public for satisfying peoples needs of production and daily life.

Surface Water Quality Assessment of Lis River Using Multivariate Statistical Methods

2012 ◽  
Vol 223 (9) ◽  
pp. 5549-5561 ◽  
Author(s):  
Judite S. Vieira ◽  
José C. M. Pires ◽  
Fernando G. Martins ◽  
Vítor J. P. Vilar ◽  
Rui A. R. Boaventura ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Statistical Methods ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Lis River

scholarly journals Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

2021 ◽  
Author(s):  
Tao Lin ◽  
Huiqing Yu ◽  
Qi Wang ◽  
Lin Hu ◽  
Jing Yin
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality ◽  
Water Quality Evaluation ◽  
Multivariate Statistical ◽  
Index Model ◽  
Water Ecosystem ◽  
Water Quality Status

Abstract The river is a vital component of the water ecosystem in both urban and rural regions. However, its rapidly increasing pollutants are posing a severe threat for water ecosystem security. Using Multivariate statistical technique and Integrated water quality index model (IWQI) to evaluate surface water quality and its spatial distribution based on Geographic information system (GIS). This combinatorial model have been proved to be a feasible tool for evaluating surface water quality at large-scale basin. This study analyzed the spatio-temporal variations of surface water quality, which were determined monthly from samples collected in the Maozhou River Basin Guangdong Province, China from 2018 to 2020. The results demonstrated that the surface water quality status of in the Maozhou River Basin has been steadily improved during the study period. The surface water quality of 82.17% of monitoring site reached the water quality target of function zones (surface water quality of the class V standards), with the IWQI values ranging from 12.118 to 3.650. By the end of 2019, black-odorous water in Maozhou River basin has disappeared from our sight. By 2020, the water quality status of the Maozhou River Basin has been steadily maintained at “Medium and good” level, and the main background pollutants for the water quality target of function zones is NH3-N. However, the some area in which the surface water quality still need to further improve is estuary and southwest tributary in the basin. This finding calls for further efforts to improve surface water quality and to properly deal with various sources of pollution in the watershed. It is concluded that this combined surface water quality evaluation model is more efficient and reasonable for surface water quality evaluation at a larger scale. It can provide scientific foundation for the water ecosystem management and planning in efficiently managing and evaluating surface water quality at river or basin scales.

scholarly journals On the issue of the Uzbekistan surface water quality assessment

2019 ◽  
Author(s):  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Surface Water ◽  
Surface Waters ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Soviet Period ◽  
Hazard Class ◽  
Difficult Situation

The article is devoted to the analysis of the quality of surface water in Uzbekistan. Analyzed their impact on the living conditions and health of the population of the republic. The most difficult situation with drinking water supply and with the growth of diseases caused by the use of poor-quality drinking water falls on the Navoi, Khorezm, Surkhandarya regions and Karakalpakstan. The stated data makes it relevant to conduct research to determine the quality of surface waters and improve the methods of its assessment. The analysis of existing methods for assessing the quality of surface waters. The technique of assessment of the index of pollution of water applied now in Uzbekistan counted in compliance with “Methodical recommendations about the formalized complex evaluation test of the surface and ocean waters about hydro/chemical indexes” was developed in Soviet period and doesn’t meet the modern requirements. The need to improve the methods for assessing the quality of surface waters as compared with that currently used in Uzhydromet is indicated. One of the most promising at present is the “Method of integrated assessment of the degree of contamination of surface waters by hydro/chemical indicators” developed and used in operational practice in Russia. The most informative comprehensive estimat water pollution and the class of water quality. The author proposed methods for assessing the quality of surface waters, the calculation of which is based on the use of a larger amount of initial information and are more reliable than those used. In particular, the proposed methodology for assessing the quality of surface waters, taking into account the hazard class of ingredients.

scholarly journals Surface Water Quality Assessment, Prediction & Modelling of River Daya in Odisha

2022 ◽  
Author(s):  
Pramod Jena ◽  
*Sayed Modinur Rahaman ◽  
Pradeep Kumar DasMohapatra ◽  
Durga Prasad Barik ◽  
Dikshya Surabhi Patra
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Decision Tree ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Total Coliform ◽  
Geographic Region ◽  
Total Hardness ◽  
Good Tool

Abstract A decision tree -based approach is projected to predict surface water quality and is a good tool to assess quality and guarantee property safe use of water for drinking. The most objective of this study is to assess the surface water quality of the Daya watercourse to work out the quality of drinking functions. Samples were collected from designated locations throughout totally different seasons (winter, summer, rainy) over a amount of five years (2016, 2017, 2018, 2019, and 2020). Total dissolved solids, pH, alkalinity, chloride, nitrate, total hardness, calcium, magnesium, iron, fluoride, were all tested as well as total coliform, fecal coliform, and E. coli. The main goal is to use decision tree regression to construct a model to assess and predict water quality changes in the Daya geographic region of Odisha, India, and compare it to statistical methods.

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