Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution).

MLA

Thakrar, Sumil K., et al. “Global, High-Resolution, Reduced-Complexity Air Quality Modeling for PM2.5 Using InMAP (Intervention Model for Air Pollution).” PLoS ONE, vol. 17, no. 5, May 2022, pp. 1–22. EBSCOhost, https://doi.org/10.1371/journal.pone.0268714.

APA

Thakrar, S. K., Tessum, C. W., Apte, J. S., Balasubramanian, S., Millet, D. B., Pandis, S. N., Marshall, J. D., & Hill, J. D. (2022). Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution). PLoS ONE, 17(5), 1–22. https://doi.org/10.1371/journal.pone.0268714

Chicago

Thakrar, Sumil K., Christopher W. Tessum, Joshua S. Apte, Srinidhi Balasubramanian, Dylan B. Millet, Spyros N. Pandis, Julian D. Marshall, and Jason D. Hill. 2022. “Global, High-Resolution, Reduced-Complexity Air Quality Modeling for PM2.5 Using InMAP (Intervention Model for Air Pollution).” PLoS ONE 17 (5): 1–22. doi:10.1371/journal.pone.0268714.