China Surface Water PFAS Exceedance Risk Map at 1 km Resolution

A 1 km resolution spatial map of PFAS exceedance risk across China's surface water, generated using a Geographically Weighted Random Forest model. The model integrated an inventory of over 280,000 potential PFAS sources and demonstrated an accuracy of 0.83 and ROC-AUC of 0.91. The dataset was authored by Jungang Wang and last updated on 2026-04 27.

Use Cases

• Identify high-risk PFAS contamination hotspots based on the 1 km resolution risk map.
• Analyze the influence of proximity to PFAS sources and annual precipitation on contamination risk.
• Support policy development for PFAS management and protection of vulnerable populations based on estimated exposure of 80–90 million people.
• Validate and compare predictive environmental risk models using the reported model performance metrics.

Strengths

• Model predictive performance is quantified with an accuracy of 0.83 and ROC-AUC of 0.91.
• Integrates a spatially explicit inventory of over 280,000 potential PFAS sources.
• Provides high-resolution (1 km) spatial mapping of risk across China's surface water.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (14.9 KB), suggesting it may contain summary results or metadata rather than raw source data.

Provenance

Source

figshare, authored by Jungang Wang.

Collection Method

Generated via a Geographically Weighted Random Forest (GWR-RF) model informed by a source inventory.

Time Range

null

Freshness

Last updated 2026-04-27 13:40:43; freshness should be verified.

Geography

China's surface water, with hotspots noted in the eastern coastal plain and key inland industrial provinces.