Spatial Distribution Analysis and Mapping of Groundwater Quality Parameters for the Sylhet City Corporation (SCC) Area Using GIS
Volume 3, Issue 1, January 2015, Pages: 1-10
Received: Feb. 3, 2015;
Accepted: Feb. 21, 2015;
Published: Mar. 2, 2015
Views 3528 Downloads 367
Gulam Md Munna, Dept. of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Numan-Al-Kibriya , Dept. of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Ahmad Hasan Nury, Dept. of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Shriful Islam, Dept. of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Hasina Rahman, Dept. of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Follow on us
As Groundwater is a natural source of drinking water, it needs to be monitored regularly and people should be made aware of its quality. The unscientific management and exploration of groundwater resources has always been a serious problem in many cities in Bangladesh. As a result the quality of groundwater has become equally important as of its quantity. The present study is aimed to assess the current condition of groundwater quality and to analyze the spatial distribution of groundwater quality for the Sylhet City Corporation (SCC) area. The groundwater quality parameters were analyzed for 51 samples collected from the existing shallow tube wells from the twelve wards of SCC area. Arc GIS geostatistical analyst extension module was used for exploratory data analysis, semivariogram model selection, cross validation. Experimental semivariogram values are examined to find out the best fitted ordinary kriging (OK) models for eleven water quality parameters: pH, potassium, total hardness, alkalinity, turbidity, calcium, total dissolve solids, sulfate, nitrate, chloride and iron. The values of prediction errors i.e. mean square error (MSE), root mean square error (RMSE), average standard error (ASE), root mean square standardize error (RMSSE) were considered to justify the best fitted model. The interpolated spatial maps of different groundwater parameters shows that iron, alkalinity, total hardness and turbidity are vulnerable to groundwater quality within the study area.
Groundwater, Spatial Distribution, GIS, Geostatistics, Semivariogram
To cite this article
Gulam Md Munna,
Ahmad Hasan Nury,
Spatial Distribution Analysis and Mapping of Groundwater Quality Parameters for the Sylhet City Corporation (SCC) Area Using GIS, Hydrology.
Vol. 3, No. 1,
2015, pp. 1-10.
A. N. Amadi, P.I. Olasehinde, J. Yisa, (2010). Characterization of Groundwater Chemistry in the Coastal plain-sand Aquifer of Owerri using Factor Analysis. Int. J. Phys. Sci., 5(8): 1306-1314.
K.Ambiga, Dr. R. Anna Durai, (2013). Use of Geographical Information System and Water Quality Index to assess Groundwater Quality in and around Ranipet area, Vellor District, Tamilnadu. Int. J. Adv. Engg. Res. Studies /II/IV/73-80.
Mufid al-hadithi, (2012). Application of water quality index to assess suitability of groundwater quality for drinking purposes in Ratmao –PathriRao watershed, Haridwar District, India. Am. J. Sci. Ind. Res., 3(6): 395-402.
Mridha, M.A.K., Rashid, M.H. and Talukder, K.H., (1996). Quality of groundwater for irrigation in Natore, district, Bangladesh. Journal of Agricultural Research, 21, 15-30.
Shahid, S., Chen, X. and Hazarika, M.K., (2006). Evaluation of groundwater quality for irrigation in Bangladesh using geographic information system. Journal of Hydrology and Hydromechanics, 54(1), 3-14.
Sajal Kumar Adhikary, Md. Manjur-A-Elahi, A.M. IqbalHossain, (2012). Assessment of shallow groundwater quality from six wards of Khulna City Corporation, Bangladesh. Int. Journal of Applied Sciences and Engineering Research, Vol. 1, Issue 3.
UNESCO/WHO/UNEP (1996). Water Quality Assessments—a guide to use of biota, sediments and water in environmental monitoring, 2nd edn. In: Chapman D (ed) Chapman & Hall Publishers. ISBN 0419215905(HB) 0419 216006(PB)
P. Balakrishnan1, Abdul Saleem, N. D. Mallikarjun, (2011). Groundwater quality mapping using geographic information system (GIS): A case study of Gulbarga City, Karnataka, India. Afr. J. Environ. Sci. Technol. Vol. 5(12), pp. 1069-1084.
Gorai AK, Kumar S (2013) Spatial Distribution Analysis of Groundwater Quality Index Using GIS: A Case Study of Ranchi Municipal Corporation (RMC) Area. GeoinforGeostat: An Overview 1:2.
Isaaks EH, Srivastava RH (1989) An Introduction to Applied Geostatistics. Oxford University Press, New York.
Goovaerts P (1997) Geostatistics for natural recources evaluation. Geostatistics for natural resources evaluation. Oxford University Press, Applied Geostatistics Series.
APHA, (2005). “Standard methods for the examination of water and wastewater”. American Public Health Association, Washington D.C
ESRI, (2003). ArcGIS. Environmental Systems Research Institute (ESRI), available online: http://www.ESRI.com/
WHO (World Health Organization) (2006). Guidelines for drinking water quality, World Health Organization, Geneva, Switzerland.
BWDS, (1997).Bangladesh Drinking Water Standard. Bangladesh Water Pollution Control Board, GOB, Dhaka.