Evaluation of groundwater quality in and around Peenya industrial area of Bangalore, South India using GIS techniques
ABSTRACT Groundwater resource forms a significant component of the urban water supply. Declining groundwater levels in Bangalore Urban District is generally due to continuous overexploitation during the last two decades or more. There is a tremendous increase in demand in the city for good quality groundwater resource. The present study monitors the groundwater quality using geographic information system (GIS) techniques for a part of Bangalore metropolis. Thematic maps for the study area are prepared by visual interpretation of SOI toposheets on 1:50,000 scale using MapInfo software. Physicochemical analysis data of the groundwater samples collected at predetermined locations form the attribute database for the study, based on which spatial distribution maps of major water quality parameters are prepared using MapInfo GIS software. Water quality index was then calculated by considering the following water quality parameters--pH, total dissolved solids, total hardness, calcium hardness, magnesium hardness, alkalinity, chloride, nitrate and sulphate to find the suitability of water for drinking purpose. The water quality index for these samples ranged from 49 to 502. The high value of water quality index reveals that most of the study area is highly contaminated due to excessive concentration of one or more water quality parameters and that the groundwater needs pretreatment before consumption.
- SourceAvailable from: Brindha Karthikeyan
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- "TH of groundwater ranged from 366 to 538 mg/l with an average of 471 mg/l which is classified as very hard (Sawyer and McCarty 1978), and the surface water was moderately hard (162 mg/l). WQI has been used as a tool to determine the water quality by many researchers (Alam and Pathak 2010; Massoud 2012; Pius et al. 2012; Akkaraboyin and Raju 2012). WQI was "
ABSTRACT: Check dams are often constructed across the rivers to store excess runoff and to improve groundwater recharge. Quality of groundwater around the check dam depends on the chemical and biological characteristics of the water stored in the check dam. The aim of this study is to determine the benefits due to changes in chemical and microbial composition of groundwater during the process of recharge. This study was carried out in and around a check dam constructed across Arani River, Tamil Nadu, India, where people depend on groundwater reserves for domestic and irrigation requirements. Water samples were collected from the river and surrounding wells and were analysed for chemical and microbial contents. WQI based on the chemical composition indicates that the groundwater was good in this area, but microbes such as Escherichia spp., Salmonella spp., Shigella spp. and Clostridium spp. were present. However, the microbial quality of groundwater is far better than the water stored in the check dam. Hence, production wells can be planned at a distance of about 400 m in the east so that the bank filtrate will take at least 60 days to reach the well. This will considerably reduce the microbial load and also the cost of post-treatment. Thus, river bank filtration may be adopted near the check dams so as to maximise well yield and to achieve natural filtration. This will also enable to use a portion of water that otherwise would be lost due to evaporation from the dam.Arabian Journal of Geosciences 01/2015; DOI:10.1007/s12517-015-1825-4 · 1.22 Impact Factor
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ABSTRACT: Groundwater potential zones were demarcated with the help of remote sensing and Geographic Informa-tion System (GIS) techniques. The study area is composed rocks of Archaean age and charnockite dominated over others. The parameters considered for identifying the groundwater potential zone of geology slope, drainage density, geomorphic units and lineament density were generated using the resource sat (IRS P6 LISS IV MX) data and survey of India (SOI) toposheets of scale 1:50000 and integrated them with an inverse distance weighted (IDW) model based on GIS data to identify the ground-water potential of the study area. Suitable weightage factors were assigned for each category of these para-meters. For the various geomorphic units weightage factors were assigned based on their capability to store ground water. This procedure was repeated for all the other layers and resultant layers were reclassifi ed. The reclassi fi ed layers were then combined to demarcate zones as very good, good, moderate, low, and poor. This groundwater potent iality information could be used for e ff ective identification of suitable locations for extraction of potable water for rural populationsFrontiers of Earth Science 12/2012; DOI:10.1007/s11707-012-0347-6 · 0.52 Impact Factor
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ABSTRACT: Iran is located in the dry and semi dry regions, thus almost 90% of the required fresh water is exploited from groundwater resources. Due to the increasing pollution of water resources, the purpose of this study was evaluation of Pb, Cd, Cu and Mg concentrations in groundwater resources of Razan Plain and preparing the zoning map using GIS. Materials & Methods: Groundwater samples were collected from 20 selected stations during two seasons in 2012. The samples were filtered (0.45 μm) and maintained cool in polyethylene bottles. The samples were taken for the analysis of cations, the former was acidified with HNO3 to pH lower than 2. Minor elements were determined using ICP-OES. All statistical analyses were performed using the SPSS statistical package. Also, Kriging Method was used to prepare spatial distribution maps of elements in groundwater samples. Results: The results showed that the mean concentrations of Pb, Cd, Cu and Mg in the groundwater samples during the spring were 5.60±0.66, 0.21±0.04, 32.10±2.21 and 6990.0±302.10 ppb, respectively, and the mean concentrations of these elements in the groundwater samples in the summer were 4.86±0.46, 0.30±0.08, 25.55±3.63 and 3654.05±215.65 ppb, respectively. Comparing the mean concentrations of the evaluated metals with WHO permissible limits showed a significant difference (p<0.05). Thus, the mean concentrations of the metals were significantly lower than the permissible limits. Conclusion: Although the groundwater resources of Razan Plain are not currently polluted with heavy metals, long-term excessive use of agricultural inputs and establishment of polluting industries, can pose a threat to groundwater resources of this area.