Abstract

Some areas in Iran are affected by the consequences of subsidence. This study aimed to compare the performance of the Analytical Hierarchy Process and Certain Factor models in subsidence susceptibility mapping in the Neyshabur Aquifer. At first, 60% of subsidence areas were randomly selected for building subsidence susceptibility and the remaining 40% were used to validate the models. Maps of effective parameters on subsidence event such as hydraulic conductivity, specific yield, groundwater level drop, alluvium thickness, saturation thickness, the thickness of compressible clay layer, and recharge groundwater were prepared in the GIS environment. Maps were zoned into low, moderate, high, and very high susceptibility. The highest levels of subsidence occurred in the northern and northeastern regions. Results confirmed by validation methods, R-index and area under the curve methods. The CF model generated high accuracy and prediction rated (91.7 and 90.2%) than that of the AHP model (88.4 and 85%), respectively.

摘要

伊朗的一些地区受到下沉后果的影响。本研究旨在比较分析层次过程和某些因素模型在 Neyshabur 含水层沉降敏感性绘图中的性能。最初，随机选择 60% 的沉降区用于构建沉降敏感性，剩余的 40% 用于模型验证。在GIS环境下绘制了水力传导率、比产量、地下水位下降、冲积层厚度、饱和厚度、可压缩粘土层厚度、补给地下水等沉降事件有效参数图。地图被划分为低、中、高和非常高的易感性。北部和东北部地区的沉降程度最高。通过验证方法确认的结果，R 指数和曲线下面积法。CF 模型的准确率和预测率分别高于 AHP 模型（88.4 和 85%）（91.7 和 90.2%）。