Abstract: Under rapid urbanization, the increasing frequency of meteorological station relocation necessitates quantitative evaluation of temperature series inhomogeneity. This study systematically analyzes 137 relocation records from 78 national meteorological observation tations in Hubei Province (1960-2024) using an integrated methodology combining the Standard Normal Homogeneity Test (SNHT), Multiple Linear Regression (MLR), Penalized Maximum T Test (PMT), and jump-variable analysis. The results are as follows. (1) The intensity of inhomogeneity caused by relocations exhibits decadal amplification, with post-1990 events showing a 1.9-fold increase in inhomogeneity frequency compared to earlier periods. The occurrence of large-impact cases rose from 11% to 63%, with minimum temperature demonstrating greater sensitivity to relocations. (2) Altitude differences exerted stronger influences on temperature series than horizontal displacements, with larger elevation variations increasingly affecting maximum temperature sequences. (3) After Quantile Mapping (QM) adjustment, regional consistency between relocated stations (Wuhan and Wufeng) and neighboring reference stations significantly improved, and interannual trends aligned more closely with China’s temperature variation patterns.