Vulnerability maps were generated for Altınova Region within the Antalya Travertine Plateau based on DRASTIC, SINTACS, EPIK, COP and PI methods. Majority of the study area is covered by productive karstic aquifer, which is composed of travertine. Travertine includes typical karstic features such as dolines, springs and caves where groundwater of travertine aquifer is the sole source for irrigation. Areal extends of low, medium, high and very high vulnerability classes and their areal extends were determined for all methods and compared with each other. High and very high vulnerable areas covered >74% of the study area as investigated by all methods, except PI. Although PI is a specific method for karstic aquifers, this method could not generate a reasonable vulnerability map based on the assigned parameter definitions and scores. Only areal extents were not sufficient to decide about the proper vulnerability method for the study area. Therefore, NO₃⁻ concentration based validation method was performed for all generated vulnerability maps. Consequently, the areas which had NO₃⁻ concentrations higher than 30 mg/L were matched with high-very high vulnerable areas. According to this validation method, application of SINTACS with “karstic aquifer” weights could validate 95% of the area with NO₃⁻ concentrations higher than the selected threshold level of 30 mg/L for Altınova region. This study showed that simulation performance of vulnerability methods was highly related to the defined parameter definitions, score ranges and weights of each method. Similar parameters with variable score ranges could create considerably distinct vulnerability maps. Validation is the essential interpretation step for taking decision on the proper vulnerability method. Additionally, site-specific contaminant observations are critical for validation of vulnerability maps. Validated vulnerability maps could be used as a valuable water resources management tool.

基于DRASTIC，SINTACS，EPIK，COP和PI方法，在安塔利亚石灰华高原内的Altınova地区生成了漏洞图。研究区的大部分地区都由钙华组成的岩溶性含水层所覆盖。石灰华包括典型的岩溶特征，例如do石，泉水和洞穴，其中石灰华含水层的地下水是唯一的灌溉来源。针对所有方法确定了低，中，高和非常高的漏洞类别的地域扩展，以及它们的范围扩展，并将它们进行了比较。通过PI以外的所有方法进行调查，高和非常高的脆弱区域覆盖了研究区域的> 74％。尽管PI是岩溶含水层的一种特定方法，但该方法无法根据分配的参数定义和得分生成合理的脆弱性图。仅区域范围不足以决定研究区域的适当脆弱性方法。因此，没有₃ ^–对所有生成的漏洞图执行基于浓度的验证方法。因此，其中有NO的区域₃ ^-浓度高于30毫克/升用高非常高的脆弱的区域相匹配。根据该验证方法，应用具有“岩溶含水层”权重的SINTACS可以验证95％的NO ₃区域^-浓度高于Altınova地区所选的30 mg / L阈值水平。这项研究表明，漏洞方法的仿真性能与每种方法的定义参数定义，得分范围和权重高度相关。具有可变分数范围的相似参数可能会创建明显不同的漏洞图。验证是决定适当漏洞方法的重要解释步骤。另外，特定地点的污染物观察对于验证脆弱性图至关重要。经过验证的脆弱性图可以用作有价值的水资源管理工具。