scholarly journals Determination of Water Quality Index of Simly Dam, Islamabad by Arithmetic Weighted Method

2020 ◽  
Vol 11 (3) ◽  
pp. 11-15
Author(s):  
Aima Ali ◽  
Asma Jamil ◽  
Fajr Farhan ◽  
Syeda Zinnia Iqbal
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Water Source ◽  
Quality Parameters ◽  
Drinking Water Source ◽  
Total Chloride ◽  
Class B

Water quality is of great importance due to its impact on human health and aquatic systems. Since Islamabadand Rawalpindi get their drinking water from Simly dam, this makes it an important drinking water source. In thisstudy water quality parameters of Simly dam were determined and water quality index (WQI) using Arithmeticweighted method was calculated. Collection of water samples from different locations of dam and the filtration plantinstalled in the facility was done. Twelve physicochemical parameters of water quality including: pH, ElectricalConductivity (EC), Total Dissolved Solids (TDS), alkalinity, hardness, Biological Oxygen Demand (BOD), DissolvedOxygen (DO), Total Chloride, Calcium, Nitrates, Potassium and Sodium (Na) were measured to estimate the sentientand water quality of the Simly dam. WQI of both raw dam water and filtered dam water was determined using WorldHealth Organization (WHO) standards for drinking water. The water quality index of raw dam water was found to be62.79 while that of filtered dam water was 49.43. The WQI of the unfiltered raw dam water was found to be in class Cthat is poor category, while the filtered dam water was falling in Class B that refers to good category according to waterquality index categories. Regular monitoring of water quality is recommended to ensure safe water supply toconsumers.

scholarly journals Pre-Post Monsoon Assessment of Ground Water of Ghot Village in Gadchiroli District

2019 ◽  
Vol 8 (4) ◽  
pp. 3444-3448
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Source ◽  
Threshold Value ◽  
World Health ◽  
Total Hardness ◽  
Drinking Water Source

there basic need of human being that is food, shelter and Cloth. So as In food water is very important after air, around 72% of earth surface is covered with water but among them only few percentage of source are available for drinking and other domestic purposed. Sub-Surface water is one of the most priceless naturally occurring things which balance human health and development of ecology. In this research find out safe drinking water source in Ghot village of Gadchiroli district. Also find determine chipset filtration process required other drinking water sources so that people from Ghot village are easily use this water for drinking and domestic purposed. With the help of sample analysis from different location of Ghot village are tested in laboratory and check with BIS and WHO standards. Water quality guidelines provide a threshold value for each parameter for drinking water. It is necessary that the quality of drinking water should be checked at regular time intervals, because due to the use of contaminated drinking water, the human population suffers from various water borne diseases. There are some parameters of drinking water quality parameters like World Health Organization (WHO) and Indian Standard IS 12500: 2012. The objectives of this study are to analyses the underground water quality of Ghot Village of Gadchiroli region by water quality index. In this research 11 sample point location were selected on five parameter which are essential for check for quality. Physico-chemical parameters such as PH, Turbidity, Total Hardness, Fluoride and Total Dissolved Solids collected different place like boar well, pond, River etc. In this study find out the range of water quality index so that treatment on water can be perform properly on respective drinking water source

Evaluation of Ground Water Quality For AL Shuwayja area –Wasit Provence Using GIS Technique

2017 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Ali Nasser Hilo
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Ground Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Poor Quality ◽  
Quality Parameters ◽  
Ground Water Quality ◽  
Water Index ◽  
The City

The low level of water in rivers in Iraq leads to poor water quality, on that basis; we need to assess Iraq's water resources for uses of irrigation and drinking water. This study present a model accounts for ground water quality by using a water quality index (WQI) for the region defined between the city of Kut and the city of Badra in Wasit province. this study relies on a system of wells set up along the path through the Badra –Kut  and around it  up to 78 wells. The study showed poor quality of ground water in the region of study and it is unsuitability for irrigation and drinking water, as well as provided a solution to the water accumulated in the Shuwayja to reduce the bad effect on groundwater by using a system of branch and collection canals  then pumping at the effluent  of Al  Shuwayja in seasons of rainy season ..Water quality index calculated depend on the basis of various physic-chemical parameters as PH, Ec , TDS, TSS, Nacl , SO4 ,Na , and  Mg. The resultant and analytical are present with use of Arch GIS program – geostastical analysis for the water index and water quality parameters

scholarly journals Evaluation of Water Quality of the Titas River Using NSF Water Quality Index

2010 ◽  
Vol 3 (1) ◽  
pp. 151 ◽  
Author(s):  
S. Islam ◽  
T. Rasul ◽  
J. Bin Alam ◽  
M. A. Haque
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Laboratory Tests ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Huge Amount ◽  
Water Quality Status ◽  
Quality Status

The Titas River, a trans-boundary river of Bangladesh flows almost the entire Brahmanbaria district, consumes a huge amount of sewage, agricultural discharges and runoff, waste produced from human excreta, discharges of two oil mills and contaminants from other minor sources. A study is conducted to find the water quality status of the river during the period from July 2008 to June 2009 and by using National Sanitation Foundation (NSF) water quality index, the probable use of this water is predicted. This work consists of laboratory tests for the evaluation of some water quality parameters of the Titas and to identify its probable use in various purposes. The results of the laboratory tests and NSF water quality index suggest that the water can be used for recreation, pisciculture and irrigation purposes but requires treatment before using for drinking.Keywords: Water pollution; Faecal coliform; Dissolved oxygen (DO); Biochemical oxygen demand (BOD).© 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.doi:10.3329/jsr.v3i1.6170                 J. Sci. Res. 3 (1), 151-159 (2011)

scholarly journals ASSESSING WATER QUALITY OF BOYALI DAM LAKE (SINOP, TURKEY) BY USING ECOLOGICAL AND STATISTICAL INDICATORS

2021 ◽  
Vol 20 (1) ◽  
pp. 77-85
Author(s):  
Ekrem Mutlu ◽  
◽  
Naime Arslan ◽  
Cem Tokatli ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Temporal Variations ◽  
Quality Parameters ◽  
World Health ◽  
Water Quality Control ◽  
Monthly Basis ◽  
Quality Material

Aim of the study: In the present study, the spatial – temporal variations of water quality in Boyalı Pond were analyzed. Water Quality Index (WQI) based on the World Health Organization's standards specified for drinking water, and Water Quality Control Regulations in Turkey (WQCR), as well as certain multi-statistical methods, were used in analyzing the water quality. Material and methods: Water samples were collected from 5 stations selected in the lake on monthly basis in 2019 and 30 water quality parameters were measured in total. Water Quality Index (WQI), Factor Analysis (FA), and Cluster Analysis (CA) were used in order to determine the differences between the spatial and temporal quality levels and to classify the investigated locations. Results and conclusions: According to data observed, Boyalı Dam Lake was found to have Class I and Class II water quality in general the WQI results obtained suggested that, although the water quality was found to significantly decrease in summer months, the reservoir was found to have an "A Grade – Excellent" water quality (<50) in all the months and stations analyzed here. WQI values recorded in the dam lake ranged between 16.4 and 27.8 and the detected limnologic parameters did not exceed the standards specified for drinking water in any of the investigated months and stations (<50 for WQI). As a result of FA, 3 factors explained 88.9% of total variances and as a result of CA, 2 statistical clusters were formed.

scholarly journals Spatiotemporal Analysis of Surface Water Quality in Dong Thap Province, Vietnam Using Water Quality Index and Statistical Approaches

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 336
Author(s):  
Nguyen Thanh Giao ◽  
Phan Kim Anh ◽  
Huynh Thi Hong Nhien
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
E Coli

The study was conducted to spatiotemporally analyze the quality, location and critical water variables influencing water quality using water monitoring data from the Department of Environment and Natural Resources, Dong Thap province in 2019. The water quality parameters including turbidity, pH, temperature, dissolved oxygen (DO), total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), nitrite (N-NO2−), nitrate (N-NO3−), ammonium (N-NH4+), total nitrogen (TN), orthophosphate (P-PO43−), chloride (Cl−), oil and grease, sulfate (SO42−), coliforms, and Escherichia coli (E. coli) were collected at 58 locations with the frequency of four times per year (February, May, August, and November). These parameters were compared with national technical regulation on surface water quality—QCVN 08-MT: 2015/BTNMT. Water quality index (WQI) was calculated and spatially presented by geographical information system (GIS) tool. Pearson correlation analysis, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the correlation among water quality parameters, group and reduce the sampling sites, and identify key parameters and potential water pollution sources. The results showed that TSS, BOD, COD, N-NH4+, P-PO43−, coliforms, and E. coli were the significant concerns impairing the water quality. Water quality was assessed from poor to medium levels by WQI analysis. CA suggested that the current monitoring locations could be reduced from 58 sites to 43 sites which can be saved the total monitoring budget up to 25.85%. PCA showed that temperature, pH, TSS, DO, BOD, COD, N-NH4+, N-NO2−, TN, P-PO43−, coliforms, and E. coli were the key water parameters influencing water quality in Dong Thap province’s canals and rivers; thus, these parameters should be monitored annually. The water pollution sources were possibly hydrological conditions, water runoff, riverbank erosion, domestic and urban activities, and industrial and agricultural discharges. Significantly, the municipal and agricultural wastes could be decisive factors to the change of surface water quality in the study area. Further studies need to focus on identifying sources of water pollution for implementing appropriate water management strategies.

scholarly journals Water Quality Analysis of Drinking Water Resource Lake Sapanca and Suggestions for the Solution of the Pollution Problem in the Context of Sustainable Environment Approach

2021 ◽  
Vol 13 (7) ◽  
pp. 3917
Author(s):  
Muhammed Ernur Akıner ◽  
İlknur Akıner
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Rapid Change ◽  
Oxygen Demand ◽  
Water Source ◽  
Quality Analysis ◽  
Mathematical Representation ◽  
Drinking Water Source ◽  
Ann Model ◽  
Rapid Urbanization

Lake Sapanca is the drinking water source of the Sakarya province of Turkey. Intensive urbanization in the region is the main obstacle to implementing appropriate physical planning and measures to adapt to rapid change. The monitoring of the water quality parameters in the planning and management of the lakes is significant. The Artificial Neural Network (ANN), a mathematical representation of the human brain’s functioning, was employed to estimate the Lake’s Dissolved Oxygen (DO) concentration. pH, Magnesium (Mg), Temperature (Temp), Chemical Oxygen Demand (COD), Orthophosphate (o-PO4), Nitrite Nitrogen (NO2-N), and Nitrate Nitrogen (NO3-N) were used as independent parameters. The successful ANN model gives better results compared to the traditional multiple linear regression (MLR) analysis. The developed model can be used for forecast purposes to complete the missing data in the future and support the decision process for pollution reduction through sustainable environmental management. The eutrophication threat for Lake Sapanca has been revealed. The main objective is to create the scientific infrastructure that will draw attention to the rapid urbanization problem with ANN and eutrophication models’ outputs. It has been understood that the protection of the water budget of Lake Sapanca is the primary solution method in terms of ecological sustainability to eliminate the existing pollution.

scholarly journals Assessment study of water quality index (WQI) for Shatt Al-arab River and its branches, Iraq

2018 ◽  
Vol 162 ◽  
pp. 05005 ◽  
Author(s):  
Ahmed Hamdan ◽  
Ammar Dawood ◽  
Douaa Naeem
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Large Scale ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
River Pollution ◽  
Sewage Water ◽  
Quality Parameters ◽  
Pollution Level

Shatt Al-Arab River (in Basrah province South of Iraq) is approximately 192 km long. It plays a key role in providing water for domestic purposes, irrigation, manufacturing, in addition to shipment. Recently the river suffers from increasing pollution, due to wastes from industries, domestic sewage and agricultural activities that find their way into water sources and result in large scale deterioration of water quality. Investigating the river size and significance, becomes necessary to perform a study to understand the water quality of this river that is considered by some experts as one of the most contaminated in Iraq. This work uses the Water Quality Index (WQI) to describe the pollution level of the river and by using Geographic Information System (GIS) to create WQI map. This study also determines the critical pollutants affecting the river water quality throughout its course. WQI has been formulated making use of several water quality parameters such as pH, temperature, Dissolved Oxygen (DO), Biological Oxygen Demand（BOD5), Chemical Oxygen Demand（COD）, Nitrate (NO3-2), Phosphate (PO4-3), Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Turbidity (Tur), and Electrical Conductivity (E.C) which were measured at 37 sites along the river. Bad water quality was observed at the sites of the river branches, near the center of Basrah governorate. Furthermore, it was discovered that the main reason for river pollution was due to the high sewage water discharged into the river, especially river branches and illegal discharges of industrial effluent and sewage.

scholarly journals Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI)

2019 ◽  
Vol 16 (5) ◽  
pp. 731 ◽  
Author(s):  
Basheer A. Elubid ◽  
Tao Huang ◽  
Ekhlas H. Ahmed ◽  
Jianfei Zhao ◽  
Khalid. M. Elhag ◽  
...  
Keyword(s):  
Water Quality ◽  
Information System ◽  
Drinking Water ◽  
Geographic Information System ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Parameters ◽  
Geographic Information ◽  
Drinking Water Quality

The observation of groundwater quality elements is essential for understanding the classification and distribution of drinking water. Geographic Information System (GIS) and remote sensing (RS), are intensive tools for the performance and analysis of spatial datum associated with groundwater sources control. In this study, groundwater quality parameters were observed in three different aquifers including: sandstone, alluvium and basalt. These aquifers are the primary source of national drinking water and partly for agricultural activity in El Faw, El Raha (Fw-Rh), El Qalabat and El Quresha (Qa-Qu) localities in the southern part of Gedaref State in eastern Sudan. The aquifers have been overworked intensively as the main source of indigenous water supply in the study area. The interpolation methods were used to demonstrate the facies pattern and Drinking Water Quality Index (DWQI) of the groundwater in the research area. The GIS interpolation tool was used to obtain the spatial distribution of groundwater quality parameters and DWQI in the area. Forty samples were assembled and investigated for the analysis of major cations and anions. The groundwater in this research is controlled by sodium and bicarbonate ions that defined the composition of the water type to be Na HCO3. However, from the plots of piper diagram; the samples result revealed (40%) Na-Mg-HCO3 and (35%) Na-HCO3 water types. The outcome of the analysis reveals that several groundwater samples have been found to be suitable for drinking purposes in Fa-Rh and Qa-Qu areas.

Application of Artificial Neural Network to Predict the Water Quality Index of Brahmani River Basin Odisha, India

2018 ◽  
Vol 6 (8) ◽  
pp. 205
Author(s):  
Binayini Bhagat ◽  
D. P. Satapathy
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Artificial Neural Network ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Physico Chemical ◽  
Artificial Neural

Water is one of the prime elements responsible for subsistence on the earth. The scarcity of potable water is gradually increasing with the increase in population. The surface water quality is a very crucial and sensitive issue and is also a great environmental concern worldwide. Surface water pollution by physical, chemical, radiological and biological contaminants can be considered as an epidemic at times, all over the world. The present research work aims at assessing the water quality index (WQI) in the surface water of Brahmani river basin in Odisha by monitoring five sampling locations. The surface water samples data were subjected to comprehensive physico-chemical analysis besides general parameters. The monthly water quality parameters were collected and analyzed from five selected gauging stations of Odisha during the months of January to December from 2011 to 2016. Eleven physical, chemical and biological water quality parameters viz. pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Electrical Conductivity(EC), Nitrogen as nitrate (Nitrate-N), Total Coli-form Bacteria(TC), Fecal Coli-form Bacteria(FC), Chemical Oxygen Demand (COD), Nitrogen as ammonia (NH4-N), Total Alkalinity (TA) as CaCO3, Total Hardness (TH) as CaCO3 were selected for the analysis. Analysis of water quality for Brahmani River is done by Water Quality Index (WQI). Prediction of water quality index is done by using Artificial Neural Network (ANN).  It is apparent from WQI values that Talcher and Panposh recorded the water quality as moderate to poor and nearly unsuitable during the years 2011-2016 indicating water as not safe for domestic purposes and needs treatment, the WQI values of Kamalanga ranged from good to poor and the WQI values of Aul and Pottamundai ranged from good to moderate. Eleven physico-chemical parameters were involved in this analysis as input variables and water quality index as output variable. Two models were proposed to identify the most effective model in an attempt to predict the WQI.  Correlation between the parameters was carried out to find out the significant parameters affecting WQI. The ANN developed was trained and tested successfully using the available data sets and the performance of ANN models were determined by coefficient of determination (R2) and Root Mean Square Error (RMSE). Results show that ANN-1 gives the higher value of R2 in summer, monsoon and winter season (0.989, 0.976 and 0.959) and low RMSE (2.1865, 2.0768 and1.9657) as compared to that of the second model (ANN-2) which gives R2 value as 0.933, 0.945 and 0.943 and RMSE value as 2.8765, 2.5456 and 1.2745 for summer, monsoon and winter seasons respectively. Hence this study triggered the use of Artificial Neural Network to predict the Water Quality Index (WQI) rather than using the traditional WQI equation.

scholarly journals Assessment of water quality index: a case study in Old Brahmaputra river of Mymensingh District in Bangladesh

2016 ◽  
Vol 27 (3) ◽  
pp. 355-361 ◽  
Author(s):  
Z Muyen ◽  
M Rashedujjaman ◽  
MS Rahman
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Chemical Parameters ◽  
Brahmaputra River ◽  
Physico Chemical

This study was conducted to measure the water quality parameters of old Brahmaputra River in Mymensingh district near Bangladesh Agricultural University to determine the water quality index (WQI) of the River Brahmaputra. Water quality focuses on various aspects of the physico-chemical parameters by which the quality of the water body can easily be elucidated. Three different locations were selected within the study area. Water samples were collected in April 2015 from these three locations along the river and analyzed for these physico-chemical parameters: pH, Dissolve Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrate (AN), Suspended Solids (SS). The values of these parameters were used to calculate the WQI based on the equation derived by the Department of Environment (DoE) Malaysia. The WQI was found to be 57.58, which falls in the class IV category and means that the water is “very polluted” and as of April 2015, this water is not suitable for public water supply, not suitable for recreational purpose, has limited potential for aquaculture but is suitable for irrigation.Progressive Agriculture 27 (3): 355-361, 2016

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