Qinghai, China, hosts a research site where a shallow CO2 reservoir leak was studied. The dataset likely contains soil gas and soil flux survey data collected over an eight-day period in 2014 to characterize the leak's distribution, magnitude, and source. It was published by the Australian Ocean Data Network and relates to a 2016 research paper on monitoring techniques for geological CO2 storage.
Use Cases
- Mapping CO2 leak distribution based on soil flux survey patterns described in the study
- Estimating total CO2 emission rates based on interpolation methods applied to high-flux zones
- Identifying the source of CO2 based on soil gas component ratios and carbon-13 isotope analysis
- Assessing plume migration over time based on surface soil mineralisation evidence
- Evaluating the effectiveness of soil gas and flux techniques for leak detection versus leak characterization
Strengths
- Data is tied to a specific, documented case study of a real-world CO2 leak event
- Surveys employed two distinct sampling patterns (regular and irregular grids) for spatial mapping
- Total CO2 emission rate was estimated within a quantified range (649-1015 kgCO2/d)
- Analysis integrated multiple methods: soil flux surveys, soil gas composition, and carbon isotope analysis
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Australian Ocean Data Network
- Collection Method
- Soil gas and soil flux surveys conducted at a research site
- Time Range
- Eight-day period in 2014
- Freshness
- Last updated 2026-06-23 00:31:30.426399; freshness should be verified
- Geography
- Qinghai research site, west of Haidong, China