Surface Water Quality Analysis in Thamirabarani River Using Remote Sensing And GIS

International Journal of Geoinformatics and Geological Science
© 2021 by SSRG - IJGGS Journal
Volume 8 Issue 1
Year of Publication : 2021
Authors : Navamuniyammal M, Vidhya R, Sivakumar M, Saravanan K
How to Cite?

Navamuniyammal M, Vidhya R, Sivakumar M, Saravanan K, "Surface Water Quality Analysis in Thamirabarani River Using Remote Sensing And GIS," SSRG International Journal of Geoinformatics and Geological Science, vol. 8,  no. 1, pp. 1-8, 2021. Crossref,


A combination of twenty different in-situ measurements and satellite-derived Landsat data has been utilized to deduce the correlation between the observed Water Quality Parameters (WQP) between the two sources mentioned above for the area of study, the Tamirabarani river, Tirunelveli, on the ArcGIS software. The correlation proved to be inconsonant with the corollaries stated above when processed through the linear regression model constructed to serve the purpose. The Landsat data and in-situ observed values of total dissolved solids (TDS), pH, salinity, electrical conductivity, and Dissolved Oxygen (DO) were passed through this model quantify the WQP. The results demonstrated that the band combination and band rationing of Landsat against the ground sampling measurements were almost parallel. The averaged estimated values of the ground measurements for pH, BOD, NH3, NO3, TSS, and TDS were 7.13, 2.212, 1.68, 2.634, 95.13, 80.71, respectively. The corresponding concentration values for Landsat data are 7.54, 2.568, 0.33, 2.536, 102.466, and 88.002, respectively. These numerals prove that Landsat data would be a good fit for estimating and monitoring Water Quality Parameters (WQP) in the Tamirabarani river, Tirunelveli, on a regional scale.


WQP, TDS, DO, pH, salinity, electrical conductivity


[1] Balakrishnan, M., Arul Antony, S., Gunasekaran, S. and Natarajan, R.K., Impact of dyeing industrial effluents on the groundwater quality in Kancheepuram (India), Indian Journal of Science and Technology, 1(7),(2011), 1-7.
[2] Bureau of Indian Standards (BIS), Indian standards for drinking water specification, (BIS,10500:2010).
[3] Gopalsami, P.M., Kumar, P.E. and Kulandaivelu, A.R, Study on the Quality of water in the Bhavani River, (S.India), Asian Journal of Chemistry, 15, (2010),306310.
[4] Hema Latha, T., Pradeep Kumar, G.N., Lakshminarayana. P and Anil, A, Assessment of Groundwater Quality Index for Upper Pincha Basin, Chittoor District, Andhra Pradesh, India using GIS, International Journal of Scientific & Engineering Research 3(7),(2012),1-8.
[5] Jaya Rathore., Assessment of water quality of River Bandi affected by textile dyeing and printing effluents, Pali, Western Rajasthan, India,” International Journal Of Environmental Sciences, 2(2),(2011),560-568.
[6] Murhekar, G.H,Trace Metals Contamination of Surface Water Samples in and Around Akot City in Maharashtra, India, Res. J. Recent Science, 1(7),(2012),5-9.
[7] Sargaonkar, A. and Deshpande, V, Development of an overall index of pollution for surface water based on general classification scheme in the Indian context,Environmental Monitoring and Assessment, 89,(2010),4367.
[8] K. Saravanakumar, K. and Ranjith Kumar, R., Analysis of water quality parameters of groundwater near Ambattur industrial area, Tamil Nadu, India, Indian Journal of Science and Technology, 4(5),(2011),560-562.
[9] Sundara Kumar, K., Sundara Kumar, P., Ratnakanth babu, M.J. and Ch. Hanumantha Rao., Assessment and mapping of Groundwater quality using Geographical Information Systems, International Journal of Engineering Science and Technology, 2(11),6035-6046,.
[10] Thillai Arasu, P., Hema, S. and Neelakantan, M.A., Physico-chemical analysis of Tamirabarani river water in South India, Indian Journal of Science and Technology, 1(2), (2012),1-5.
[11] Udayalaxmi, G., Himabindu, D. and Ramadass, G, Geochemical evaluation of groundwater quality in selected areas of Hyderabad, A.P., India,Indian Journal of Science and Technology, 3(5), (2010).
[12] Fraser R.N., Multispectral Remote Sensing of Turbidity among Nebraska Sand Hills Lakes, Int. J. Remote Sensing, 19(15), (2013).
[13] Leif G. Olmanson, Marvin E. Bauer, and Patrick L. Brezonik,Use of Landsat Imagery to Develop a Water Quality Atlas of Minnesota’s 10,000 Lakes, Water Resources Centre & Remote Sensing & Geospatial Analysis Laboratory ISPRS Commission I/FIEOS Conference Proceedings, (2015).
[14] Luoheng Han and Karen J. Jordan, Estimating and Mapping Chlorophyll-a Concentration in Pensacola Bay, Florida using Landsat ETM+ data,’ International Journal of Remote Sensing 26(23), (2015).
[15] Zhou W., Wang S., Zhou Y., and Troy A., Mapping the Concentrations of Total Suspended Matter in Lake Taihu, China,
using Landsat – 5 TM Data, International Journal of Remote Sensing.27(6),(2016).
[16] Bilge F., Yazici B., Dogeroglu T., and Ayday C., Statistical Evaluation of Remotely Sensed Data for Water Quality Monitoring,’ International Journal of Remote Sensing, 24(24),(2013).
[17] Bilgehan Nas, Semih Ekercin, Hakan KarabÖrk, Ali Berktay, and David J. Mulla., Application of Landsat 5 TM Image Data for Water Quality Mapping in Lake Beysehir, Turkey, Water Air Soil Pollution . (2013),212:183 – 197.