)1 College of Civil Engineering, Architecture Xinjiang University; Urumqi 830047, China; [EMAIL_ADDRESS] (X.K. )1 College of Civil Engineering, Architecture Xinjiang University; Urumqi 830011, China; [EMAIL_ADDRESS] (X.K.K)1 College of Civil Engineering, Architecture Xinjiang University; Urumqi 830011, China; [EMAIL_ADDRESS] (X.K. time-varying gravity data obtained by the terrestrial hybrid repeated gravity observation (THROO) system, which have been applied to investigate crustal deformation, deep crustal fluid migration, and crustal apparent density variations in tectonically active regions [6; 7]. Recently, relatively accurate medium-term predictions of several large earthquakes have been made by interpreting the data of anomalous gravity changes with reference to historical local earthquake records [8; 9; 10]. Many scholars therefore believe that it is possible to extract the gravity signals that are probably associated with deep mass transfer processes from THROO records [11], which is the basis for applying time-varying gravity observations to in-depth explorations of earthquake mechanisms and seismic risk prediction [12]. With the advancement of technology, analyzing earthquake-associated surface deformations using interferometric synthetic aperture radar (InSAR) has become a research hotspot, and this field is among those where InSAR technology has been most successfully applied [13]. With the gradual maturity of InSAR technology, increasingly detailedoseismic deformation fields can be extracted to inverse coseismic slip distribution patterns [14]. Due to their large spatial coverage and high-accuracy deformation monitoring capacity, short-period InSAR data have facilitated the rapid acquisition of earthquake-induced surface deformation, post-earthquake field investigations, surface rupture zone identification, and seismic regime prediction, thus providing essential scientific support for earthquake disaster mitigation [15]. In the present study, we used mobile gravity observation data collected in the middle segment of the North Tianshan Mountains from August 2016 to July 2022 to obtain time-varying gravity values on an annual scale based on the repeated ground-based observations from the monitoring network in the study area. We used the classical constrained adjustment method, with an idea of integrating the field and seismic sources. We further obtained the local gravity field variation features and then performed equivalent source inversion based on the time-varying gravity signals to reveal the crustal apparent density changes in the study area. These provide a geophysical basis for a thorough investigation of the process of deep crustal material migration and the generation mechanism of moderate to strong earthquakes. We used the differential InSAR (DInSAR) technique [16; 17] to obtain the LOSoseismic deformation field for the 2016 Hutubi earthquake (magnitude 6.2) that occurred during the observation period, and inverted the seismogenic fault based on the elastic dislocation model [18] to study the regional earthquake generation mechanism and fault activity. The software used for gravity field inversion was GEOIST1.0, the software used for InSAR data processing was GMTSAR6.2, and the calculation program used for seismic fault inversion was the Steepest Descent Method (SDM). The outcomes may aid in understanding the tectonic background of earthquake preparation and the tectonic activity pattern around the faults in the study area. Therefore, the purpose of this work was to interpret the seismogenic structure and focal mechanism of the 2016 Hutubi earthquake, with the aim of exploring the geological significance of the deep tectonic features in an extended spatial range covering the entire middle segment of the North Tianshan Mountains.