The Comparison Model Method (CMM) is a relatively simple and computationally efficient direct method for the identification of the transmissivity of a confined aquifer by solution of an inverse problem. However, it suffers some of the classical drawbacks related to ill-posedness and ill-conditioning of inverse methods. Effectiveness of the CMM can be improved by some approaches. First of all, the introduction of a factor which permits to limit the negative effects of small hydraulic gradients by selection of a single parameter of the algorithm. Moreover, the CMM can be cast in a tomographic framework, i.e., by profiting of multiple sets of data, corresponding to different flow situations, produced by different boundary conditions or sources terms. Numerical tests are performed on a synthetic aquifer, by means of an open-source implementation based on the use of flopy for the solution of the forward problems. The tests show that the above mentioned approaches improve the robustness of the CMM with respect to error on the input head data.

比较模型法（CMM）是一种相对简单且计算效率高的直接方法，用于通过反问题的求解来识别承压含水层的透射率。但是，它遭受了一些与逆方法的不适定和不适相关的经典缺陷。坐标测量机的有效性可以通过一些方法来提高。首先，引入一个因素，该因素允许通过选择算法的单个参数来限制小水力坡度的负面影响。此外，CMM可以在断层扫描框架中进行转换，即通过受益于由不同边界条件或源项产生的对应于不同流动情况的多组数据。在合成含水层上进行了数值测试，蓬勃发展的解决向前的问题。测试表明，相对于输入磁头数据上的错误，上述方法提高了CMM的鲁棒性。