scholarly journals Assessment of Water Quality of Major Tributaries in Seoul using Water Quality Index and Cluster Analysis

2020 ◽  
Vol 42 (10) ◽  
pp. 452-462
Author(s):  
Jinhyo Lee ◽  
Hyunju Ha ◽  
Manho Lee ◽  
Mokyoung Lee ◽  
Taeho Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
River Water ◽  
Quality Index ◽  
Water Quality Management ◽  
River Water Quality ◽  
Quality Information ◽  
Linkage Method ◽  
And Cluster Analysis

Objectives : 17 water quality measurement networks (WQMNs, tributaries) in Seoul were analyzed by using NSFWQI and cluster analysis to provide basic data for future river water quality management so that citizens could easily and comprehensively understand the water quality information on the rivers in Seoul.Methods : For the past 3 years (2015~2017), in order to estimate WQI, 9 items, DO (% sat), Fecal coliform, pH, BOD, Temperature change (TC), TP, NO3-, Turbidity and Total solids, were selected from among the 19 water quality data measurement items produced monthly from 17 WQMNs in Seoul. WQI was derived and graded using NSFWQI and cluster analysis was performed using Ward Linkage Method, SOM (Self Organizing Map).Results and Discussion : Water quality of most water quality monitoring networks was BOD Ⅱ grade (slightly good) or higher and TP Ⅲ grade (normal) or higher according to the standard of water quality and water ecosystem river living environment, and NSFWQI was also 64 (Medium)~89 (Good). All showed good water quality. NSFWQI does not show a significant difference by season, so it is believed that it is affected by anthropogenic sources rather than seasonal effects. As a result of examining the correlation between NSFWQI and water quality level according to environmental standards, it was confirmed that R2 has a relatively good correlation with 0.78, and there is no clear difference between the two groups, and through this, it was found that the currently implemented water quality rating system and NSFWQI are well matched. As a result of cluster analysis using ward linkage method and SOM for 17 WQMNs, it was largely divided into 6 groups according to water quality characteristics.Conclusions : It is important to manage pollution sources to systematically manage river water quality as a water resource. It is therefore expected that by converting from the complicated and various water quality information such as is found in this study into a simple water quality index and grouping, the river water quality can be easily understood and can be utilized in the future as basic data for water quality management in Seoul.

scholarly journals Assessment of Surface Water Quality of Mayur River in Khulna City

2021 ◽  
Author(s):  
Md. Mahadi Hashan ◽  
S.M. Moniruzzaman
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Pearson Correlation ◽  
River Water Quality ◽  
Household Waste ◽  
Aquatic Life ◽  
Phosphate Nitrate

Abstract River water quality is one of the foremost concerns now a days as it plays a significant role in human and aquatic life. Mayur River, located on the northwestern side of the Khulna city, is important from numerous points of view like freshwater reservoir, navigation, water source for irrigation, ground for fishing and the main wastewater route of Khulna city. However along with human interruption, the unplanned and untreated crude dumping of domestic, industrial and household waste into it, the natural flow of the river is totally retarded and the river water quality has been degraded on a large scale due to water pollution. This pollution has colossal negative impact on day to day life of the inhabitants living alongside of this river as they use this water for domestic and sometimes drinking purposes. That is where the significance of assessing the water quality of Mayur River has come from. The core objectives of this study is to assess the water quality of Mayur River and to develop a model using statistical analysis between water quality parameters (WQP) and water quality index (WQI) to interpret relationship among them. Water quality was assessed on the basis of WQI calculation using National Sanitary Foundation water quality index method. The temporal WQI value showed that the water quality in Mayur River got worse in dry season than that of wet season due to dilution. Much higher values were obtained in case of biochemical oxygen demand (BOD), turbidity, total solids (TS), chloride, phosphate, nitrate and fecal coliform (FC). Pearson correlation coefficient shows negative relationship among temporal average WQI with other parameters except pH. Regression analysis indicates that 99.7% proportion of variance of dependent variable (temporal average WQI) can be predicted from the independent variables (Dissolved Oxygen (% saturation), BOD, turbidity, TS, pH, temperature change, phosphate, nitrate and FC). Total nine prediction equations were formed using regression coefficients that may be helpful to predict the WQI on the basis of WQP in future.

scholarly journals Investigation of the Soan River Water Quality Using Multivariate Statistical Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Zakaullah ◽  
Naeem Ejaz
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Management ◽  
Oxygen Demand ◽  
River Water Quality ◽  
Quality Data ◽  
Spatiotemporal Pattern ◽  
Multivariate Statistical ◽  
Water Quality Data

Evaluating the quality of river water is a critical process due to pollution and variations of natural or anthropogenic origin. For the Soan River (Pakistan), seven sampling sites were selected in the urban area of Rawalpindi/Islamabad, and 18 major chemical parameters were examined over two seasons, i.e., premonsoon and postmonsoon 2019. Multivariate statistical approaches such as the Spearman correlation coefficient, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the water quality of the Soan River based on temporal and spatial patterns. Analytical results obtained by PCA show that 92.46% of the total variation in the premonsoon season and 93.11% in the postmonsoon season were observed by only two loading factors in both seasons. The PCA and CA made it possible to extract and recognize the origins of the factors responsible for water quality variations during the year 2019. The sampling stations were grouped into specific clusters on the basis of the spatiotemporal pattern of water quality data. The parameters dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), turbidity, and total suspended solids (TSS) are among the prominent contributing variations in water quality, indicating that the water quality of the Soan River deteriorates gradually as it passes through the urban areas, receiving domestic and industrial wastewater from the outfalls. This study indicates that the adopted methodology can be utilized effectively for effective river water quality management.

Analysis of water pollution and evaluation of purification measures in an urban river basin

1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Basin ◽  
Urban Areas ◽  
River Flow ◽  
Sea Water ◽  
Water Quality Management ◽  
River Water Quality ◽  
Urban River ◽  
Pollutant Load

The inflow of pollutant load from urban areas and the stagnation of water due to sea water intrusion cause the deterioration of river water quality in tidal zone. In order to improve water quality, various measures such as the reduction of pollutant load by sewage systems, discharge control from sewage treatment plants considering river flow, nutrient removal by aquatic plants, and the dredging of bottom sediments have been examined. The choice of these measures depends on the situation of the river environment and finances. In this study, a field survey was carried out in a typical urban river basin, first. Secondly, on the basis of this survey, a mathematical model was formed to simulate flow and water quality. Several purification alternatives designed for the investigated river basin were comparatively evaluated from the viewpoint of the effect of water quality improvement and their cost. Finally, they were prioritized. Through this case study, a planning process of river water quality management was shown.

scholarly journals Unfolding Water Quality Status During COVID-19 Lockdown for the Highly Polluted Santiago River in Jalisco, Mexico

2021 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Ignacio Elizalde Martinez ◽  
Shruti Venkata Chari
Keyword(s):  
Water Quality ◽  
River Water ◽  
Total Nitrogen ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
River Water Quality ◽  
Organic Load ◽  
The Government ◽  
Temporary Closure

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.

scholarly journals PROPOSE AN APPROPRIATE MANAGEMENT MODEL FOR SAI GON RIVER WATER QUALITY

2012 ◽  
Vol 15 (4) ◽  
pp. 71-86
Author(s):  
Thang Viet Le ◽  
Triet Minh Lam ◽  
Tan Manh Le ◽  
Tai Manh Pham
Keyword(s):  
Water Quality ◽  
Environmental Protection ◽  
River Water ◽  
River Basin ◽  
Water Quality Management ◽  
Water Source ◽  
Local Area ◽  
River Water Quality ◽  
Management Model ◽  
Organization Modeling

The article proposed an appropriate organization modeling for Sai Gon river water quality management based on the analysis having scientific and practical basic about aspects have done and aspects limited of LVS management organization (LVS environmental protection Committee) in past time, lesson learnt from effective LVS management performance of countries in the world as well as based on actual study changes in Sai Gon river water quality in many years and practically coordination management and environmental protection river among local area along river basin. The proposed modeling is feasible and practical aim to protect Sai Gon river water source serving for different purposes such as supply water for domestic demand, industry, irrigation, river landscape – tourism, and waterway etc., towards sustainable development of local area along river basin.

Assessment of Godavari River Water Quality of Nanded City, Maharashtra, India

2021 ◽  
pp. 1117-1129
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Godavari River

Assessment of Godavari River Water Quality of Nanded City, Maharashtra, India

2021 ◽  
pp. 947-961
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Godavari River
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