National PM 2.5 spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000-2019.

Autor: Wang M; Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA; RENEW Institute, University at Buffalo, Buffalo, NY, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA. Electronic address: mwang54@buffalo.edu., Young M; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA., Marshall JD; Department of Civil and Environmental Engineering, University of Washington, Seattle WA, USA., Piepmeier L; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA., Bi J; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA., Kaufman JD; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA., Szpiro AA; Department of Biostatistics, University of Washington, Seattle, WA, USA.

Publikováno v: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2024 Nov 28; Vol. 366, pp. 125405. Date of Electronic Publication: 2024 Nov 28.