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 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 Efficient river water quality index prediction considering minimal number of inputs variables

2020 ◽  
Vol 14 (1) ◽  
pp. 751-763 ◽  
Author(s):  
Faridah Othman ◽  
M.E. Alaaeldin ◽  
Mohammed Seyam ◽  
Ali Najah Ahmed ◽  
Fang Yenn Teo ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
River Water Quality

Assessing river water quality using water quality index in Lake Taihu Basin, China

2018 ◽  
Vol 612 ◽  
pp. 914-922 ◽  
Author(s):  
Zhaoshi Wu ◽  
Xiaolong Wang ◽  
Yuwei Chen ◽  
Yongjiu Cai ◽  
Jiancai Deng
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Lake Taihu ◽  
River Water Quality ◽  
Taihu Basin

scholarly journals Assessment of Cau River water quality assessment using a combination of water quality and pollution indices

2020 ◽  
Vol 69 (2) ◽  
pp. 160-172 ◽  
Author(s):  
Cao Truong Son ◽  
Nguyen Thị Huong Giang ◽  
Trieu Phuong Thao ◽  
Nguyen Hai Nui ◽  
Nguyen Thanh Lam ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Status ◽  
Pollution Index ◽  
River Water Quality ◽  
Quality Analysis ◽  
Pollution Indices

Abstract This research aims at using a combined water quality index (WQI) and pollution index (PI) to assess and characterize river water quality of Cau River which is one of the longest rivers in the north of Vietnam. Five different water quality and water pollution indices were used including the Water Quality Index (WQI), Comprehensive Pollution Index (CPI), Organic Pollution Index (OPI), Eutrophication Index (EI), and Trace Metal Pollution Index (TPI). The combined water pollution indices show more serious pollution towards the river downstream. In particular, CPI and OPI reveal a high risk of eutrophication. Cluster analysis was applied to classify water monitoring points into different quality groups in order to provide a better understanding of the water status in the river. This study indicates that a combined water quality analysis could be an option for decision making water use purposes while its single index shows the current situation of water quality.

scholarly journals Evaluation water quality of Diyala River in Iraq using Bhargava method

2018 ◽  
Vol 162 ◽  
pp. 05001
Author(s):  
Nawar Al-Musawi
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
The Third ◽  
Tigris River ◽  
Good For ◽  
Diyala River

Diyala River is a tributary of Tigris River, it is one of the important rivers in Iraq. It covers a total distance of 445 km (275 miles). 32600 km2 is the area that drains by Diyala River between Iraqi-Iranian borders. This research aims to evaluate the water quality index WQI of Diyala River, where three stations were chosen along the river. These stations are D12 at Jalawlaa City at the beginning of Diyala River, the second station is D15 at Baaquba City at the mid distance of the river, and the third station is D17 which is the last station before the confluence of Diyala River with Tigris River at Baghdad city. Bhargava method was used in order to evaluate the water quality index for both irrigation and drinking uses. The results indicated that Diyala river water quality at its beginning was excellent for irrigation and good for drinking, while at the mid distance of the river, it was good for irrigation but heavily polluted and unsafe for drinking. Water quality of the river at the third site was acceptable for irrigation but again severely polluted and unsafe for drinking.

scholarly journals Sustainable River Water Quality Management in Malaysia

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Abdullah Al-Mamun ◽  
Zaki Zainuddin
Keyword(s):  
Water Quality ◽  
Point Source ◽  
River Water ◽  
Environmental Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Standards ◽  
River Water Quality ◽  
Effective Control ◽  
Water Quality Standards

Ecological status of Malaysia is not as bad as many other developing nations in the world. However, despite the enforcement of the Environmental Quality Act (EQA) in 1974, the water quality of Malaysian inland water (especially rivers) is following deteriorating trend. The rivers are mainly polluted due to the point and non-point pollution sources. Point sources are monitored and controlled by the Department of Environment (DOE), whereas a significant amount of pollutants is contributed by untreated sullage and storm runoff. Nevertheless, it is not too late to take some bold steps for the effective control of non-point source pollution and untreated sullage discharge, which play significant roles on the status of the rivers. This paper reviews the existing procedures and guidelines related to protection of the river water quality in Malaysia.  There is a good possibility that the sewage and effluent discharge limits in the Environmental Quality Act (EQA) may pose hindrance against achieving good quality water in the rivers as required by the National Water Quality Standards (NWQS). For instance, Ammoniacal Nitrogen (NH3-N) is identified as one of the main pollutants to render many of the rivers polluted but it was not considered in the EQA as a monitoring parameter until the new regulations published in 2009.  Surprisingly, the new regulation for sewage and industrial effluent limits set allowable NH3-N concentration quite high (5 mg/L), which may result in low Water Quality Index (WQI) values for the river water. The water environment is a dynamic system. Periodical review of the monitoring requirements, detecting emerging pollutants in sewage, effluent and runoff, and proper revision of water quality standards are necessary for the management of sustainable water resources in the country. ABSTRAK: Satus ekologi Malaysia tidak seburuk kebanyakan negara membangun lain di dunia. Walaupun Akta Kualiti Alam Sekitar (EQA) dikuatkuasakan pada tahun 1974, kualiti air di pedalaman Malaysia (terutama sungai) semakin merosot. Kebanyakan sungai tercemar akibat pencemaran di punca sumber air dan pencemaran di bukan punca sumber air. Punca sumber air dipantau dan dikawal oleh Jabatan Alam Sekitar (JAS), tetapi sejumlah besar pencemaran adalah sisa yang tidak dirawat dan air larian ribut. Walau bagaimanapun, ia tidak terlambat untuk mengambil beberapa langkah berani untuk mengawal pencemaran di punca sumber air dan sisa tidak dirawat kerana langkah ini memainkan peranan penting bagi kebersihan sungai. Kertas kerja ini mengkaji prosedur dan garis panduan sedia ada berkaitan perlindungan kualiti air sungai di Malaysia. Ada kemungkinan bahawa had kumbahan dan pelepasan efluen dalam Akta Kualiti Alam Sekitar (EQA) boleh menimbulkan halangan terhadap mencapai kualiti air yang baik di dalam sungai seperti yang dikehendaki oleh Piawaian Kualiti Kebangsaan Air (NWQS). Sebagai contoh, Ammoniakal Nitrogen (NH3-N) dikenal pasti sebagai salah satu bahan pencemar utama yang menyebabkan banyak sungai tercemar tetapi ia tidak dianggap sebagai parameter pemantauan dalam EQA hingga peraturan baru diterbitkan pada tahun 2009. Yang menghairankan, peraturan baru menetapkan had efluen perindustrian dan kumbahan dibenarkan pada kepekatan NH3-N yang agak tinggi (5 mg / l), dan ini mungkin menyebabkan nilai Indeks Kualiti Air (WQI) sungai rendah. Persekitaran air adalah sistem dinamik. Menjalankan semakan berkala mengenai syarat pemantauan, mengesan bahan pencemaran di dalam kumbahan, efluen dan aliran, dan semakan piawaian kualiti air yang wajar adalah perlu bagi pengurusan sumber air lestari di negara ini. KEYWORDS:Environmental Quality Act (EQA; point source (PS); non-point source (NPS); sustainable uses; Water Quality Index (WQI)

scholarly journals Effectiveness of Water Quality Index for Monitoring Malaysian River Water Quality

2016 ◽  
Vol 25 (1) ◽  
pp. 231-239 ◽  
Author(s):  
Irena Naubi ◽  
Noorul Hassan Zardari ◽  
Sharif Shirazi ◽  
Farahen Ibrahim ◽  
Lavania Baloo
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
River Water Quality
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