RT Conference Proceedings
T1 Evaluation of Modelling and Remote Sensing Tools for Improving Air Quality in Surroundings of Open Pit Mines
A1 Arasa Agudo, Raúl
A1 Hernández, Óscar
A1 Etzkorn, Elisa
A1 Herrera, Milagros
A1 Fuertes, David
A1 Llopis, Eliot
A1 Sánchez de la Campa Verdona, Ana María
A1 Alejandro, Francisco
A1 Sanjuan, Emilio
AB In this contribution, three techniques related to modelling and remote sensing were tested to answer questions and satisfy requirements from air quality managers in the mining sector: (1) What are appropriate emission factors for blasting operations in copper mines? (2) How can we know the concentration of particulate matter in the next few hours in advance? (3) How can we generate a heat map of the particulate matter levels over the mine and nearby populations? These techniques were evaluated for one of the most relevant open pit mines in southern Europe, the Riotinto Mine, Huelva (Spain). The results obtained suggest that these techniques can efficiently improve the management of air quality in mining activities.
PB MDPI
SN 3042-5743 (electrónico)
YR 2025
FD 2025-09
LK https://hdl.handle.net/10272/27183
UL https://hdl.handle.net/10272/27183
LA eng
NO Agudo, R. A., Hernández, Ó., Etzkorn, E., Herrera, M., Fuertes, D., Llopis, E., Sánchez de la Campa, A., Alejandro, F., & Sanjuán, E. (2025). Evaluation of Modelling and Remote Sensing Tools for Improving Air Quality in Surroundings of Open Pit Mines. In The 7th International Electronic Conference on Atmospheric Sciences (ECAS-7) (p. 7). International Electronic Conference on Atmospheric Sciences. MDPI. https://doi.org/10.3390/eesp2025034007
NO The research associated with the satellite data was funded by the European Space Agency (ESA) under Contract No. 4000145377/24/NL/GM/jxh. The other tasks received no external funding.
DS Repositorio Institucional de la Universidad de Huelva
RD 26 jun 2026