Arslan Hakan
Department of Agricultural Structures and Irrigation, Faculty of Agriculture, Ondokuz Mayis University, 55139, Samsun, Turkey,
Environ Monit Assess. 2014 Aug;186(8):5123-34. doi: 10.1007/s10661-014-3764-z. Epub 2014 Apr 12.
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.
地下水位在沿海平原起着重要作用。大量抽水和过度使用近岸地下水会增加海水向含水层的入侵。在本研究中,于土耳其恰尔尚巴平原在灌溉前和灌溉后季节(2012年4月和9月)的不同时间对59口水井的地下水位进行了测量。为了选择最佳方法,比较了两种确定性插值方法(权重为1、2和3的反距离加权法(IDW)以及带张力样条(SPT)和完全正则化样条(CRS)的径向基函数(RBF))和两种随机方法(具有球形、指数和高斯变差函数的普通克里金法(OK))以及协同克里金法(COK)),然后使用最佳插值方法评估不同季节地下水位的空间分布和季节变化。总共测试了九种不同技术。此外,利用最佳方法确定了两个时期沿海地区海水入侵危险区域。通过验证测试方法评估这些插值方法的性能。使用相关统计指标(R²)、平均绝对误差(MAE)和均方根误差(RMSE)来选择和验证最佳方法。预测值与观测值的比较表明,RBF是4月和9月地下水位估计的最佳方法。当比较最佳方法RBF和最差方法IDW时,在地下水位空间分布上观察到显著差异。研究结果还表明,灌溉后季节过度抽取地下水使某些区域的地下水位下降了2.0米。关于海水入侵,确定9103公顷土地面积为高风险和有风险区域。