Application of Bayesian Theory to Water Quality Comprehensive Assessment

2012 ◽  
Vol 610-613 ◽  
pp. 917-922
Author(s):  
Mei Liu ◽  
Jun Lu
Keyword(s):  
Water Quality ◽  
Simple Calculation ◽  
Comprehensive Assessment ◽  
Small Samples ◽  
Water Quality Evaluation ◽  
Basic Principles ◽  
Evaluation Standards ◽  
Quality Grade ◽  
Current Water

According to many uncertain problems of current water quality comprehensive assessment, a Bayesian model for water quality evaluation was established based on the basic principles of Bayesian formula. Select monthly monitoring data for 5 parameters at 15 different monitoring sections, generated from July 2006 to June 2007 and use Chinese GB3838-2002 as evaluation standards to analyze the water quality grade in this study. The annual evaluation results show that the water quality of ChangLe River mainly belongs to Ⅲ and Ⅳ grade. The monthly water quality has a certain relation with rainfall. The Bayesian method has the characteristic of more integrated, suitable for both large and small samples, simple calculation and easily to be used widely.

scholarly journals Hydrochemical characteristics and water quality evaluation of shallow groundwater in Suxian mining area, Huaibei coalfield, China

2020 ◽  
Vol 7 (4) ◽  
pp. 825-835
Author(s):  
Hao Yu ◽  
Herong Gui ◽  
Honghai Zhao ◽  
Meichen Wang ◽  
Jun Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Major Ions ◽  
Shallow Groundwater ◽  
Mining Area ◽  
Water Quality Evaluation ◽  
Groundwater Samples ◽  
Silicate Dissolution ◽  
Huaibei Coalfield ◽  
Main Factor

AbstractThe aim of this study is to evaluate the hydrogeochemical characteristics and water environmental quality of shallow groundwater in the Suxian mining area of Huaibei coalfield, China. The natural formation process of shallow groundwater in Suxian is explored using Piper trilinear charts and Gibbs diagrams, and by examining the ratios between the major ions. United States Salinity Laboratory (USSL) charts, Wilcox diagrams, and the water quality index (WQI) are further employed to quantify the differences in water quality. The results reveal that the main hydrochemical facies of groundwater are HCO3–Ca, and that silicate dissolution is the main factor controlling the ion content in shallow groundwater. The USSL charts and Wilcox diagrams show that most of the water samples would be acceptable for use in irrigation systems. The WQI results for each water sample are compared and analyzed, and the quality of groundwater samples around collapse ponds is found to be relatively poor.

Assessment of the quality of water resources in coastal urban lands of two small catchment rivers, Southwest India

2017 ◽  
Vol 28 (3) ◽  
pp. 444-459 ◽  
Author(s):  
A. Krishnakumar ◽  
Revathy Das ◽  
Saranya Puthalath
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Salinity Intrusion ◽  
Water Quality Standards ◽  
Water Quality Evaluation ◽  
Small Catchment ◽  
Content Type ◽  
Quality Of Water ◽  
Southwest India

Purpose The purpose of this paper is to assess the ground water quality and salinity issues in the fast developing coastal urban lands of two river basins of Thiruvananthapuram district, Kerala, South India. Design/methodology/approach In order to address the water quality of the basins, field sampling was conducted and the samples were analysed in the laboratory. A comparison with water quality standards was also made and the interpretations of the results were done using GIS and statistical tools. Findings The values of conductivity, chlorides and salinity show that the coastal areas of Neyyar and Karamana basins are severely affected by salinity intrusion in addition to the pollution problems. More than 90 per cent of the samples are with hardness lower than 100 mg/l. About 70 per cent of the study area is with calcium concentrations lower than 25 mg/l. The content of sulphate and magnesium in Poovar and Poonthura coastal stretches is found to be higher compared to other regions. Originality/value Since not much work has been published from the study area on these aspects, the hydrochemical characterization is a very important in deciphering the quality of ground water for its proper management. The water quality evaluation and salinity intrusion studies are very important for the future planning and development of this area.

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 EVALUATION OF GROUNDWATER QUALITY OF SIWA OASIS

2016 ◽  
Vol 12 (4) ◽  
pp. 4292-4311
Author(s):  
Ammar Mohammad Ashour ◽  
M.A. Wassel ◽  
A. Z. Sayed ◽  
M.M. Abo EL-Fadl ◽  
A.M. Mahmod
Keyword(s):  
Water Quality ◽  
Quality Evaluation ◽  
Major Ions ◽  
Quality Standards ◽  
Water Quality Standards ◽  
Water Quality Evaluation ◽  
Nubian Sandstone ◽  
Drinking And Irrigation ◽  
Chemical Water

In discussing the water quality evaluation for use in different purposes, the author will briefly examine some of the major important water quality standards. These standards serve as a basis for appraisal of the results of chemical water analysis in terms of suitability of the water for various intended uses. According to total dissolved salts (TDS),  major  ions as cations ( Ca2+, Mg2+, Na+, K+), anions (CO₃2⁻, HCO₃⁻  ,SO₄2⁻, Cl⁻), with some heavy metals such as Al3+, B3+ , Cd2+, Co2+, Cr3+, Cu2+, Fe3+, Mn2+,  Mo2+, Ni2+,  Pb2+, Sr2+, V2+   and Zn2+  The results  indicate  that  the samples of Nubian sandstone aquifer is suitable for drinking of human and livestock , suitable for laundry purposes and for irrigation. While the samples of Fractured dolomite limestone aquifer are unsuitable for drinking and irrigation. 

scholarly journals Water Quality Evaluation of Wenyu River Based on Single Factor Evaluation and Comprehensive Pollution Index Method

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Li Linjin ◽  
Men Baohui ◽  
Peng Rui
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Factor ◽  
Water Quality Evaluation ◽  
Index Method ◽  
Class V ◽  
Factor Evaluation

Wenyu River is the “mother river” in Beijing. In recent years, the research on the water quality of the Wenyu River has increased gradually. In this paper, the monitoring data at Shahe Reservoir, Lu Tuan Gate, Xin Bao Gate, and Ma Fang sections for each month in 2019 were adopted. The single-factor evaluation method and the comprehensive pollution index method were selected to analyze the current situation of the water quality of Wenyu River in the Chang Ping section and its temporal and spatial variation trend. The single factor evaluation method showed that the dissolved oxygen exceeded the standard seriously in all other months of the year except that the situation was better in May, June, and July. The ammonia nitrogen content reached the highest level in January, followed by a month-by-month decreasing trend. After June, each section basically met the requirements of Class v water quality. The comprehensive pollution index method shows that the water quality of Shahe reservoir varies greatly throughout the year, and it is in grade v for 6 months. The evaluation results of both methods show that the water quality of all sections of Wenyu River in 2019 was mostly in category v.

scholarly journals Research on application of ReliefF and improved RVM in water quality grade evaluation

2022 ◽  
Author(s):  
Yu-Lin Gong ◽  
Ming-Jia Hu ◽  
Hui-Fang Yang ◽  
Bo Han
Keyword(s):  
Water Quality ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Threshold Value ◽  
Pso Algorithm ◽  
Relevance Vector Machine ◽  
Water Quality Evaluation ◽  
Quality Grade ◽  
Factor Combination ◽  
Research On Application

Abstract ReliefF algorithm was used to analyze the weight of each water quality evaluation factor, and then based on the Relevance Vector Machine (RVM), Particle Swarm Optimization (PSO) was used to optimize the kernel width factor and hyperparameters of RVM to build a water quality evaluation model, and the experimental results of RVM, PSO-RVM, ReliefF-RVM and PSO-ReliefF-RVM were compared. The results show that ReliefF algorithm, combined with threshold value, selects 5 evaluation factors with significant weight from 8 evaluation factors, which reduces the amount of data used in the model, CSI index is used to calculate the separability of each evaluation factor combination. The results show that the overall separability of the combination is best when the evaluation factor with significant weight is reserved. When different water quality evaluation factors were included, the evaluation accuracy of PSO-ReliefF-RVM model reached 95.74%, 14.23% higher than that of RVM model, which verified the effectiveness of PSO algorithm and ReliefF algorithm, and had a higher guiding significance for the study of water quality grade evaluation. It has good practical application value.

scholarly journals Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1375
Author(s):  
Siyuan Zhao ◽  
Jing Chen ◽  
Qiu Jin ◽  
Huazu Liu ◽  
Wei Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Principal Component ◽  
Coupling Model ◽  
Domestic Sewage ◽  
Comprehensive Assessment ◽  
River Water Quality ◽  
Urban River ◽  
Fuzzy Comprehensive Assessment

An improved principal component-fuzzy comprehensive assessment coupling model for urban river water quality is proposed, which fully considers the influence of water quality and quantity. This model can not only choose the key indexes, but also specify the spatial variation and class of water quality. This proposed model was used to assess the water quality of the Qingshui and Fenghuang streams in Chongqing, China. Data of twelve indexes used in the assessment were collected from 17 monitoring points. The assessment results show that the key indexes include TN, TP, NH3-N, CODcr, pH, DO and velocity. Water quality of 14 monitoring points is classified as class Bad V, and that of the remaining points is class V. Mainly affected by the deposition of garbage and discharge of domestic sewage, water quality of the midstream is the worst. The upstream is mainly influenced by farmland non-point source pollution and rural domestic sewage pollution. The downstream is close to the scenic area, and environmental control measures such as river dredging and artificial aeration are regularly carried out. The water quality of it is the best. The results provide valuable information that allow local environmental departments to discover the source of pollutant and formulate water resource management strategies.

scholarly journals A Normal Cloud Model-Based Method for Water Quality Assessment of Springs and Its Application in Jinan

2019 ◽  
Vol 11 (8) ◽  
pp. 2248 ◽  
Author(s):  
Xintong Wang ◽  
Weimin Yang ◽  
Zhenhao Xu ◽  
Jie Hu ◽  
Yiguo Xue ◽  
...  
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Cloud Model ◽  
Water Quality Assessment ◽  
Quality Level ◽  
Water Quality Evaluation ◽  
Graphic Model ◽  
Model Based ◽  
Index Evaluation

Springs are a source of drinking water and a famous tourist attraction in Jinan, China. In this paper, a multi-index evaluation method was proposed based on a normal cloud model. This model is new graphic model, which could synthetically picture the randomness and fuzziness of concepts. Ten parameters were selected, and water quality was classified into five levels. Three numerical characteristics were calculated, and the weights were assigned by an integrated weighting algorithm. The uncertainty of each spring was calculated by a cloud generator and the integrated certainty grades of water quality were determined. To ensure the accuracy of the normal cloud model, the proposed method was used to assess the water quality of springs in Jinan, China. The results obtained by the proposed method were compared with that of the other four methods. The results obtained by different methods are highly consistent. The proposed cloud model-based method can reflect the water quality level and provides a practical guide for water quality evaluation, as demonstrated in Jinan springs.

scholarly journals Tabular cusum control charts of chemical variables applied to the control of surface water quality

2012 ◽  
Vol 32 (5) ◽  
pp. 951-960 ◽  
Author(s):  
Franciele A. C. Follador ◽  
Márcio A. Vilas Boas ◽  
Marlise Schoenhals ◽  
Eliane Hermes ◽  
Clovis Rech
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Surface Water ◽  
Water Samples ◽  
Control Charts ◽  
Field Research ◽  
Surface Water Quality ◽  
Small Samples ◽  
Cusum Control Charts

The aim of this study was to evaluate the application possibility of tabular CUSUM control charts in the quality control of chemical variables in surface water. It was performed bibliographic and field research to collect water samples from 2003 to 2009, totaling 30 samples, some monthly and others semi-annual in order to observe the variables that regulate water quality. It was found that these charts may be applied to control the quality of river water; showing to be effective in the perception of changes during the process, especially for small samples (n=1) which there is no repetition as in this research. It was also concluded that the Mandurim River does not presents significant levels of pollution.

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