Emissions from Mining-related Activities in Africa using TROPOMI Satellite Observations
- 1ACOM/NCAR, Boulder, Colorado, USA (sma@ucar.edu)
- 2KNML, De Bilt, The Netherlands
- 3Dep. of Civil Engineering and Geosciences, TU Delft, Delft, The Netherlands
- 4CIRES, U. of Colorado Boulder, Boulder, Colorado, USA
- 5Laboratoire d’Aérologie, CNRS, U. Toulouse UPS, Toulouse, France
- 6NOAA/CSL-VIRES, CU, Boulder, Colorado, USA
- 7Observatoire Midi-Pyrénées, Toulouse, France
- 8Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
- 9Dep. of Chemistry, CU Boulder, Boulder, Colorado, USA
We have analyzed TROPOMI NO2 data over the Copperbelt, a mining region which straddles the Democratic Republic of Congo and Zambia. While the ore mined there is primarily copper, this region is currently of great strategic interest because it is the world’s biggest producer of cobalt. Demand for cobalt, key to clean energy technologies (e.g., electric car batteries), is increasing worldwide and cobalt control is becoming a matter of national and global energy security. The impact of increasing mining-related activities on local air quality (high NOx is harmful to respiratory systems and crops) is unknown.
TROPOMI, onboard ESA’s Sentinel-5 Precursor, is an imaging spectrometer in a sun-synchronous orbit at 824 km of altitude which measures concentrations of relevant atmospheric species (trace gases, aerosols, cloud) with quasi-global daily coverage and at high spatial resolution (~ 3.5 x 5.5 km2 in the case of NO2).
We show that mining-related activities (such as extraction, smelting, and refining) can be remotely detected based on their TROPOMI NO2 signature, even in the presence of high background NO2 from biomass burning. Annual TROPOMI NO2 means for 2019, 2020, and 2021 show local enrichments consistent with point sources spatially collocated with both mines and large cities where mining-related activities take place. We have identified temporal trends in NO2 from these point sources and, when possible, we have compared those to production figures from the mining companies involved. We have quantified top-down annual NOx (NO+NO2) emissions for each of the point sources identified by applying the divergence method to the TROPOMI retrievals, using ancillary ERA5 meteorological data. Because in situ NOx measurements are not available, we contrast our emission results with emissions from the CAMS-GLOB-ANT v5.1 inventory.
Our results show that NOx emissions from mining-related activities can be quantified remotely, which is important in the absence of local air quality monitoring. They also demonstrate that NO2 trend analysis can be a good indicator of mine production. This is particularly relevant for non-publicly traded mining companies, which are not required to publish their production figures. Lack of TROPOMI SO2 enhancements colocated with our NO2 point sources is consistent with SO2 capture and transformation into H2SO4, which is then used in mining-related processes or commercialized.
How to cite: Martínez-Alonso, S., Veefkind, P., Dix, B., Gaubert, B., Granier, C., Soulié, A., Darras, S., Theys, N., Emmons, L., Eskes, H., Tang, W., Worden, H., deGouw, J., and Levelt, P.: Emissions from Mining-related Activities in Africa using TROPOMI Satellite Observations, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-9659, https://doi.org/10.5194/egusphere-egu23-9659, 2023.