title: Estimation of spatial distrubition of groundwater level and risky areas of seawater intrusion on the coastal region in Çarşamba Plain, Turkey, using different interpolation methods.
abstract: Groundwater 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.
authors.affiliation: Department of Agricultural Structures and Irrigation, Faculty of Agriculture, Ondokuz Mayis University, 55139, Samsun, Turkey, harslan55@yahoo.com.tr.
authors.forename: Hakan
authors.initials: H
authors.lastname: Arslan
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D060587:Groundwater / Q000737:chemistry*; D006801:Humans; D012044:Regression Analysis; D054712:Salinity; D012621:Seasons; D012623:Seawater / Q000032:analysis*; D062206:Spatial Analysis; D014421:Turkey; D014876:Water Pollution / Q000706:statistics & numerical data
references.citation: Environ Monit Assess. 2013 Jan;185(1):1-19
references.pmid: 22311559
references.citation: Chemosphere. 2011 Jan;82(3):468-76
references.pmid: 20970158
references.citation: Environ Monit Assess. 2007 Jan;124(1-3):223-34
references.pmid: 16957860
references.citation: J Environ Radioact. 2013 Jan;115:6-12
references.pmid: 22846874
references.citation: Environ Monit Assess. 2013 Jan;185(1):931-44
references.pmid: 22527453
references.citation: Environ Monit Assess. 2012 Jun;184(6):3697-710
references.pmid: 21769558