First published · Last updated
时空XGBoost山西矿区沉降预测
A journal article describes a spatiotemporal XGBoost approach to predicting subsidence in a mining area in Shanxi. It was published by Science Literature Periodical Press on 2026-06-28 as a journal article (DOI 10.62662/kjxk0203010).
Categories: severe-weather-and-natural-disasters, science-and-space
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 6/10
- Geographic reach
- 3/10
- Global importance
- 2/10
- Impact magnitude
- 3/10
- Positivity
- 2/10
- Urgency
- 2/10
Why it matters
The paper addresses prediction of mining-area subsidence in Shanxi, which relates to a localized geohazard.

