Back to search

Article

Spatially Continuous PM10 Exposure Mapping in the Campania Region Using a Land-Use Random Forest Model: Integration of Monitoring Data, Geographic Predictors, ERA5 Reanalysis, and CHIMERE Model Output

2026-04-17

Abstract excerpt

In this study we develop a Land-Use Random Forest (LURF) model for the Campania Region (southern Italy) that combines 2022 daily PM10 observations from 13 quality-controlled ARPA Campania stations with a rich set of spatial predictors to produce daily concentration maps at 1000 m × 1000 m resolution, from which annual statistics (mean, percentiles, and exceedances) are derived through temporal aggregation. The pre...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
689329a1-fad1-58c5-ae14-c03f7f56b73b
DOI
10.20944/preprints202604.1265.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Spatially Continuous PM10 Exposure Mapping in the Campania Region Using a Land-Use Random Forest Model: Integration of Monitoring Data, Geographic Predictors, ERA5 Reanalysis, and CHIMERE Model OutputDOI 10.20944/preprints202604.1265.v1
Select a neighboring publication to make it the new centre.