scholarly journals ASSESSING OF WATER QUALITY INDEX USING GEOGRAPHIC INFORMATION SYSTEM IN KONYA CITY CENTER

2018 ◽  
Vol 8 (4) ◽  
pp. 679-690
Author(s):  
Sukru Dursun1 ◽  
Keyword(s):  
Water Quality ◽  
Information System ◽  
Geographic Information System ◽  
Water Quality Index ◽  
Quality Index ◽  
Geographic Information ◽  
City Center

scholarly journals Water Quality Zoning Based on Water Quality Index and Wilcox Index Using Geographic Information System

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Ghodratola Khoramabadi Shams ◽  
Abdolrahim Yusefzadeh ◽  
Hatam Godini ◽  
Edris Hoseinzadeh ◽  
Mohammad Khoshgoftar
Keyword(s):  
Water Quality ◽  
Information System ◽  
Geographic Information System ◽  
Water Quality Index ◽  
Quality Index ◽  
Geographic Information

scholarly journals Assessment of Groundwater Quality Using Water Quality Index and Geographic Information System in Kumbotso Local Government Area, Kano State, Nigeria

2021 ◽  
Vol 5 (2) ◽  
pp. 569-581
Author(s):  
A.A. Saidu ◽  
S. Danazumi ◽  
S.M. Hamza
Keyword(s):  
Water Quality ◽  
Information System ◽  
Geographic Information System ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Groundwater Resources ◽  
Geographic Information ◽  
Total Hardness ◽  
Arid Environments

Water managers are faced with issues of groundwater resources management in dry land environments characterized by increasing population growth and prolonged dry period. Pollution of such resources has become a problem of notable importance in many arid and semi-arid environments of the developing countries. Unplanned urbanization; industrialization coupled with an increase in agricultural expansion has adversely affected groundwater quality. This study provides an overview of the status of groundwater quality in Kumbotso L.G.A using Water Quality Index. Physico-chemical parameters of pH, total dissolved solids, total hardness, magnesium, chloride, nitrate, calcium, and sulphate were measured from 12 groundwater samples. The results of the analysis were compared to the WHO standards to ascertain conformity with the guidelines. The Geographic Information System (GIS) was employed for mapping the distribution of various quality parameters as well as the overall groundwater quality condition. The overall map produced shows that 53.42km2 of the study area representing 33.81% were of excellent quality while 104.58km2 representing 66.19% of the area was found to be of good quality. Thus, a GIS based map developed can be a useful practical tool by water managers, policymakers and concerned communities in taking strategic decisions towards effective management of groundwater in the study area.

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.

scholarly journals ASSESSMENT OF WATER CONTAMINATION IN FLUVIAL ECOSYSTEMS OF THE THRACE REGION (TURKEY) BY MEANS OF WATER QUALITY INDEX AND GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY

2020 ◽  
Vol 19 (3) ◽  
pp. 29-42
Author(s):  
Cem Tokatli ◽  
◽  
Alper Uğurluoğlu ◽  
Keyword(s):  
Water Quality ◽  
Information System ◽  
Geographic Information System ◽  
Water Quality Index ◽  
Quality Index ◽  
Geographic Information ◽  
Geographical Regions ◽  
Information System Technology ◽  
Fluvial Ecosystems ◽  
Thrace Region

Aim of the study: Thrace Region is the most important geographical regions of Turkey in terms of agricultural and industrial production. Meriç – Ergene River Basin is the main watershed of this significant region and there are many streams feeding the basin. In the current research, water qualities of fluvial ecosystems of Thrace Region were evaluated by using some ecological and statistical indicators. Material and methods: For each water sample, 27 physical and chemical limnological parameters (EC, TDS, turbidity, NO3, NO2, SO4, F, COD, BOD5, As, Se, Cu, Zn, Cd, Sb, Ba, Pb, B, Na, Mg, Cr, Mn, Al, K, Ca, Fe, Ni) were analysed and all the investigated parameter values were used to develop the Water Quality Index (WQI). Furthermore, Cluster Analysis (CA) were applied to detected data in order to classify the investigated locations and also Geographic Information System (GIS) was used to provide a visual summary of contamination levels in the basin components. Results and conclusions: The results show quite high WQI coefficients of COD (20.773), Se (9.667) and BOD5 (9.216) parameters in fluvial components of Thrace Region. The WQI values of the fluvial habitats of Thrace Region ranged from 33.91 – 329.84 and Çorlu Stream and Ergene River were determined as the most contaminated fluvial ecosystems. According to the results of applied CA, 2 statistically significant clusters were formed, which were named as “High Contaminated Zones” and “Low Contaminated Zones”.

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