Web-GIS platform for environmental passportization of launch vehicle stage drop zones with a risk assessment module (DSS) and data quality control

The study develops a Web-GIS prototype for digital environmental passportization of launch-vehicle stage drop zones with built-in veri-fication, traceability, and risk-based prioritization. The platform uses Django 5.0 with PostgreSQL/PostGIS and supports GeoJSON and WMS/WFS; the core entities are Zone, District, Incident, and Pass-port, supplemented by an AuditLog and RBAC. Passporting is im-plemented via Smart Forms with rules for completeness, unit con-sistency, and coordinate accuracy, plus Data Quality/Quality Gate checks (georeferencing, missing values/anomalies, source reliability, versioning). A DSS module computes a 0–100 Risk Score from nor-malized weighted factors (hazard class, regency, proximity to wa-ter/population, pollution area, weather/topography) and triggers re-sponse thresholds. Demo data show Risk Score increasing with haz-ard class (medians ≈25, 45, 67, 88–90 for Classes I–IV), with highest-priority cases at 93–96. Novelty is the unified end-to-end workflow, formalized data-quality controls, integrated DSS, and measurable usability evaluation (SUS/UEQ, time, errors, NASA-TLX) in one Web-GIS environment.