The depth to the bottom of magnetic sources (DBMS) is widely used as a proxy for crustal thermal structures. In this study, the DBMS is calculated using the spectral analysis of aeromagnetic data for the whole territory of Mexico. By assuming the DBMS to be related to the Curie point depth, the heat flow distribution is estimated. The DBMS and heat flow maps were constructed using geostatistical simulations to quantitatively determine standard deviation as uncertainty. The results show a good agreement with the complex geologic and tectonic setting in Mexico. Small DBMS values (high heat flow) as expected appear in areas where recent volcanism occurs and at seafloor spreading zones. In contrast, large values are present in tectonically stable zones.

磁源底部深度 (DBMS) 被广泛用作地壳热结构的代表。在本研究中，DBMS 是使用墨西哥全境航磁数据的频谱分析计算得出的。通过假设 DBMS 与居里点深度相关，可以估计热流分布。DBMS 和热流图是使用地质统计模拟构建的，以将标准偏差定量确定为不确定性。结果显示与墨西哥复杂的地质和构造环境非常吻合。正如预期的那样，小的 DBMS 值（高热流）出现在最近发生火山活动的区域和海底扩张区。相比之下，在构造稳定的区域中存在较大的值。