Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4219
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSutharsiny, A.
dc.contributor.authorManthrithilake, H.
dc.contributor.authorSelvarajah, P.
dc.contributor.authorMikunthan, T.
dc.contributor.authorMeththika, V.
dc.date.accessioned2021-11-22T04:30:35Z
dc.date.accessioned2022-06-24T08:41:50Z-
dc.date.available2021-11-22T04:30:35Z
dc.date.available2022-06-24T08:41:50Z-
dc.date.issued2021
dc.identifier.citationArasalingam, Sutharsiny; Manthrithilake, Herath; Pathmarajah, S.; Mikunthan, T.; Vithanage, M. 2020. Geo-statistical approach for prediction of groundwater quality in Chunnakam Aquifer, Jaffna Peninsula. Journal of Jaffna Science Association, 2(1):12-24.en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4219-
dc.description.abstractChunnakam aquifer is the main limestone aquifer of Jaffna Peninsula. The population of the Jaffna Peninsula depends entirely on groundwater resources to meet all of their water requirements. Thus for protecting groundwater qualityin Chunnakam aquifer, data on spatial and temporal distribution are important. Geostatistics methods are one of the most advanced techniques for interpolation of groundwater quality. In this study, Ordinary Kriging and IDW methods were used for predicting spatial distribution of some groundwater characteristics such as: Electrical Conductivity (EC), pH, nitrate as nitrogen, chloride, calcium, carbonate, bicarbonate, sulfate and sodium concentration. Forty four wells were selected to represent the entire Chunnakam aquifer during January, March, April, July and October 2011 to represent wet and dry season within a year.After normalization of data, variogram was computed. Suitable model for fitness on experimental variogram was selected based on less Root Mean Square Error (RMSE) value. Then the best method for interpolation was selected, using cross validation and RMSE. Results showed that for all groundwater quality, Ordinary Kriging performed better than IDW method to simulate groundwater quality. Finally, using Ordinary Kriging method, maps of groundwater quality were prepared for studied groundwater quality in Chunnakam aquifer. The result of Ordinary Kriging interpolation showed that higher EC, chloride, sulphate and sodium concentrations are clearly shown to be more common closer to the coast, and decreasing inland due to intrusion of seawater into the Chunnakam aquifer. Also higher NO3 − − N are observed in intensified agricultural areas of Chunnakam aquifer in Jaffna Peninsula.en_US
dc.language.isoenen_US
dc.publisherCGSpaceen_US
dc.subjectChunnakam aquiferen_US
dc.subjectGroundwater qualityen_US
dc.subjectGeostatisticsen_US
dc.subjectInterpolationen_US
dc.subjectIDWen_US
dc.subjectOrdinary Krigingen_US
dc.titleGeo-statistical approach for prediction of groundwater quality in Chunnakam aquifer, Jaffna Peninsulaen_US
dc.typeArticleen_US
Appears in Collections:Agricultural Engineering



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.