Basit öğe kaydını göster

dc.contributor.authorArslan, Hakan
dc.date.accessioned2020-06-21T13:56:55Z
dc.date.available2020-06-21T13:56:55Z
dc.date.issued2014
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.urihttps://doi.org/10.1007/s10661-014-3764-z
dc.identifier.urihttps://hdl.handle.net/20.500.12712/15069
dc.descriptionWOS: 000338275500038en_US
dc.descriptionPubMed: 24729182en_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 CarAYamba 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.en_US
dc.description.sponsorshipOndokuz Mayis University, Scientific Research ProgramsOndokuz Mayis University [PYO. ZRT. 1901.12.005.]en_US
dc.description.sponsorshipThis study was supported by Ondokuz Mayis University, Scientific Research Programs under the project no. PYO. ZRT. 1901.12.005. The author is also grateful to Associate Professor Deniz Ekinci, Ondokuz Mayis University, Agricultural Biotechnology Department, for the critical review and helpful suggestions on the manuscript.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/s10661-014-3764-zen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInterpolation methodsen_US
dc.subjectGroundwater levelen_US
dc.subjectSea water intrusionen_US
dc.subjectSpatial distributionen_US
dc.titleEstimation of spatial distrubition of groundwater level and risky areas of seawater intrusion on the coastal region in CarAYamba Plain, Turkey, using different interpolation methodsen_US
dc.typearticleen_US
dc.contributor.departmentOMÜen_US
dc.identifier.volume186en_US
dc.identifier.issue8en_US
dc.identifier.startpage5123en_US
dc.identifier.endpage5134en_US
dc.relation.journalEnvironmental Monitoring and Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster