Monthly Gridded Water Quality Data for Chinese Rivers from 2000 to 2023

Eight water quality parameters, including ammonia nitrogen and total phosphorus, are provided monthly for rivers in China from 2000 to 2023. The 4.6 GB dataset was simulated using random forest models that incorporate climate, soil, and anthropogenic factors. It was authored by Yunjie Zhang and last updated in May 2026.

Use Cases

• Modeling long-term water quality trends based on monthly data from 2000 to 2023
• Analyzing the impact of anthropogenic activities on river health based on the described simulation inputs
• Training predictive models for water quality parameters like dissolved oxygen and turbidity
• Creating spatiotemporal visualizations of water quality across China based on gridded coordinates

Strengths

• Covers a 24-year time range from 2000 to 2023
• Includes eight key water quality parameters such as ammonia nitrogen and total phosphorus
• Data is simulated using random forest models incorporating climate, soil, and anthropogenic drivers

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is model-simulated rather than direct measurements, which may introduce uncertainty

Provenance

Source

Yunjie Zhang via figshare

Collection Method

Simulated using random forest models

Time Range

2000 to 2023

Freshness

Last updated 2026-05-01 02:31:43

Geography

Rivers in China