Innovative Multidisciplinary Journal of Applied Technology 4-tom 4-san (2026) · 188-192-betler
A MODEL FOR THE INTEGRATION OF MULTI-SOURCE DATA AND AUTOMATIC QUALITY CONTROL IN EMERGENCY-SITUATION MONITORING
Mahfiza Khabibovna, Razokova, Rashid Amirovich, Absalamov
Annotaciya
This article proposes a model for converting multi-source heterogeneous data into a single format and automatically controlling its quality in the monitoring of emergency situations (ES). The model covers five sources (seismic, hydrometeorological, satellite, IoT-sensor, and institutional) and performs range checking, missing-value and duplicate detection, unit normalization, statistical outlier detection (IQR), and domain-specific reliability checks. The model was tested on real open data — 267 records from the USGS earthquake catalog: 88.4% of records were recognized as valid, while 31 records (including 29 of low reliability — azimuthal gap > 180°) were automatically flagged. The results show that the model performs identically on real and simulated data and provides clean, ready input for a forecasting model.
emergency situationsmonitoringdata integrationquality controlmulti-hazard approach
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.