rfasst: An R tool to estimate air pollution impacts on health and agriculture

Journal Article · Sat Jan 29 00:00:00 UTC 2022 · Journal of Open Source Software

DOI: https://doi.org/10.21105/joss.03820 · OSTI ID:1905111

Sampedro, Jon  ^[1]; Khan, Zarrar  ^[1]; Vernon, Christopher R.  ^[1]; Smith, Steven J.  ^[1]; Waldhoff, Stephanie T.  ^[1]; Van Dingenen, Rita  ^[2]

---

1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Institute
2. European Commission, Ispra (Italy). Joint Research Centre

Existing scientific literature shows that health and agricultural impacts attributable to air pollution are significant and should be considered in the integrated analysis of human and Earth-system interactions. The implementation of policies that affect the power sector, the composition of the vehicle fleet or the investments and deployment of different energy sources will in turn result in different levels of air pollution. Even though the various methodologies for estimating the impacts of air pollution, such as exposure-response functions, are extensively applied by the scientific community, they are normally not included in integrated assessment modeling outputs.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1905111
• Report Number(s): PNNL-SA-163482
• Journal Information: Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 69 Vol. 7; ISSN 2475-9066
• Publisher: Open Source Initiative - NumFOCUSCopyright Statement
• Country of Publication: United States
• Language: English