scholarly journals INVESTIGATING THE EFFECT OF SAMPLING POINT DISTANCE ON IKPOBA RIVER WATER QUALITY USING LEAST SQUARE REGRESSION MODEL

2019 ◽  
Vol 31 (3) ◽  
Author(s):  
Ehizonomhen Solomon Okonofua ◽  
Ifeanyi Benjamin Nwadialo ◽  
Kayode Hassan Lasisi
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
River Water Quality ◽  
Effluent Treatment ◽  
Sampling Station ◽  
Sampling Point ◽  
Sampling Distance ◽  
Point Distance

In this study, the sampling point distance as it affects Ikpoba River water quality was examined in order to ascertain the quality of the river before and after waste discharge. Water samples were taken from eight (8) different locations (at distance 750 m, at 150 m interval); covering the locations of wastewater release, upstream and downstream points. Samples were taken from the river for analysis twice every month in March, May and July, 2014. Samples were analyzed for pH, Electrical conductivity, Ca, colour, turbidity etc; using WHO standard methods for water quality tests. Results obtained showed that the Water Quality Index of the river water was poor at discharge point but improved as the sampling distance increased. The month of March had the worst Water Quality Index value of   -5429792.89 at STN1, distance 0 m while the best WQI was in May (-457153.58) STN8 at 750 m. The model equations explaining the correlation between the computed WQI and sampling station distance are: Y = -4.112E6 + 1836.272X (March), Y = -1.848E6 + 2184.649X (May) and Y =-2.185E6 + 678.695X (July) respectively. One-way analysis of variance result (ANOVA) at 95% confidence interval revealed that there is a strong relationship between sampling distance and WQI for months of May and July except March. The study revealed that there is a correlation between sampling distance and water quality and hence recommends adequate effluent treatment before disposal. Also, waste disposal into the stream should be done at considerable distance from downstream users.

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 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 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

scholarly journals Assessment of Kelantan River water quality using water quality index (WQI)

2021 ◽  
Vol 842 (1) ◽  
pp. 012005
Author(s):  
F S Radin Nizar ◽  
R Mohd Ghazi ◽  
N R Awang ◽  
M Muhammad
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
River Water Quality
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