Publication:
Estimation of Spatial Distribution of Groundwater Level and Risky Areas of Seawater Intrusion on the Coastal Region in Çarşamba Plain, Turkey, Using Different Interpolation Methods

dc.authorscopusid56586294100
dc.contributor.authorArslan, H.
dc.date.accessioned2020-06-21T13:56:55Z
dc.date.available2020-06-21T13:56:55Z
dc.date.issued2014
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Arslan] Hakan, Department of Agricultural Structures and Irrigation, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractGroundwater level plays a significant role in coastal plains. Heavy pumping and excessive use of near-coast groundwater can increase the intrusion of seawater into the aquifers. In the present study, groundwater levels were measured at 59 groundwater wells at different times during pre- and post-irrigation seasons (April and September of the year 2012) in Çarşamba Plain, Turkey. To select the best method, two deterministic interpolation methods (inverse distance weighing (IDW) with the weights of 1, 2, and 3 and radial basis function (RBF) with spline with tension (SPT) and completely regularized spline (CRS)) and two stochastic methods (ordinary kriging (OK) with spherical, exponential, and Gaussian variograms) and cokriging (COK)) were compared and then the best interpolation method was used to evaluate the spatial distribution of groundwater levels in different seasons and seasonal changes. A total of nine different techniques were tested. Also, risky areas of seawater intrusion in coastal area were determined using the best methods for two periods. The performance of these interpolation methods is evaluated by using a validation test method. Statistical indices of correlation (R 2), mean absolute error (MAE), and root-mean-square error (RMSE) were used to select and validate the best methods. Comparisons between predicted and observed values indicated RBF as the optimal method for groundwater level estimation in April and September. When the best method RBF and the worst method IDW were compared, significant differences were observed in the spatial distribution of groundwater. Results of the study also revealed that excessive groundwater withdrawals during the post-irrigation season dropped the groundwater levels up to 2.0 m in some sections. With regard to seawater intrusion, 9,103 ha of land area was determined to be highly risky and risky. © 2014 Springer International Publishing.en_US
dc.identifier.doi10.1007/s10661-014-3764-z
dc.identifier.endpage5134en_US
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.issue8en_US
dc.identifier.pmid24729182
dc.identifier.scopus2-s2.0-84903937319
dc.identifier.scopusqualityQ2
dc.identifier.startpage5123en_US
dc.identifier.urihttps://doi.org/10.1007/s10661-014-3764-z
dc.identifier.volume186en_US
dc.identifier.wosWOS:000338275500038
dc.identifier.wosqualityQ3
dc.institutionauthorArslan, H.
dc.language.isoenen_US
dc.publisherKluwer Academic Publishersen_US
dc.relation.ispartofEnvironmental Monitoring and Assessmenten_US
dc.relation.journalEnvironmental Monitoring and Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGroundwater Levelen_US
dc.subjectInterpolation Methodsen_US
dc.subjectSea Water Intrusionen_US
dc.subjectSpatial Distributionen_US
dc.titleEstimation of Spatial Distribution of Groundwater Level and Risky Areas of Seawater Intrusion on the Coastal Region in Çarşamba Plain, Turkey, Using Different Interpolation Methodsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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