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Resources","sub_category":"Air Quality","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"[![build](https://github.com/JGCRI/rfasst/actions/workflows/build.yml/badge.svg)](https://github.com/JGCRI/rfasst/actions/workflows/build.yml)\n[![docs](https://github.com/JGCRI/rfasst/actions/workflows/pkgdown.yaml/badge.svg?branch=main)](https://github.com/JGCRI/rfasst/actions/workflows/pkgdown.yaml)\n[![codecov](https://codecov.io/gh/JGCRI/rfasst/branch/main/graph/badge.svg?token=2IBODRZKVF)](https://codecov.io/gh/JGCRI/rfasst)\n[![test_coverage](https://github.com/JGCRI/rfasst/actions/workflows/test_coverage.yml/badge.svg)](https://github.com/JGCRI/rfasst/actions/workflows/test_coverage.yml)\n[![DOI](https://zenodo.org/badge/344924589.svg)](https://zenodo.org/badge/latestdoi/344924589)\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.03820/status.svg)](https://doi.org/10.21105/joss.03820)\n\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"Contents\"\u003e\u003c/a\u003eContents\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n- [Key Links](#KeyLinks)\n- [Introduction](#Introduction)\n- [Citation](#Citation)\n- [Installation Guide](#InstallGuide)\n- [How-to guide](#howto) \n- [Publications](#Publications)\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"KeyLinks\"\u003e\u003c/a\u003eKey Links\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\n- Github: https://github.com/JGCRI/rfasst\n- Webpage: https://jgcri.github.io/rfasst/\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"Introduction\"\u003e\u003c/a\u003eIntroduction\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\n`rfasst` reports a consistent range of adverse health and agricultural effects attributable to air pollution for any scenario run by the Global Change Analysis Model ([GCAM](http://www.globalchange.umd.edu/gcam/)), by replicating the calculations of the air quality reduced-form model [TM5-FASST]( https://ec.europa.eu/jrc/en/publication/tm5-fasst-global-atmospheric-source-receptor-model-rapid-impact-analysis-emission-changes-air).\n\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"Citation\"\u003e\u003c/a\u003eCitation\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\nSampedro, J., Khan, Z., Vernon, C.R., Smith, S.J., Waldhoff, S. and Van Dingenen, R., 2022. rfasst: An R tool to estimate air pollution impacts on health and agriculture. Journal of Open Source Software, 7(69), p.3820.\n\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"InstallGuide\"\u003e\u003c/a\u003eInstallation Guide\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\n1. Download and install:\n    - R (https://www.r-project.org/)\n    - R studio (https://www.rstudio.com/)  \n    - (For cloning the repo) Git (https://git-scm.com/downloads) \n    \n    \n2. Open R studio:\n\n```r\ninstall.packages(\"devtools\")\ndevtools::install_github(\"JGCRI/rfasst\")\n```\n\n(Optional) \n\nTo clone the repository to the local machine: Git bash in the working directory (right click \"Git Bash Here\") -\u003e In the Git console type:  \n\n```r\ngit clone https://github.com/JGCRI/rfasst.git\n```\n\nThen, open the Rproject (rfasst.Rproj): In the Rstudio menu, click \"Build -\u003e Install and restart\" (Ctrl+Shift+B)\n  \n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"keyfunctions\"\u003e\u003c/a\u003e How to guides\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\nThe package consists of a set of functions divided in four different modules:\n- Module 1. Emissions re-scaling: Process emissions by GCAM-region and re-scale them to TM5-FASST regions, and make some additional pollutant-related adjustments. More details in the [Module1 emissions](https://jgcri.github.io/rfasst/articles/Module1_emissions.html) page. \n- Module 2. Concentration: Estimate fine particulate matter (PM2.5) and ozone (O3) concentration levels (measured by different indicators) for each region. More details in the [Module2 concentration](https://jgcri.github.io/rfasst/articles/Module2_concentration.html) page. \n- Module 3. Health: Report adverse health effects attributable to exposure to fine particulate matter (PM2.5) and ozone (O3; M6M). More details in the [Module3 health](https://jgcri.github.io/rfasst/articles/Module3_health.html) page. \n- Module 4. Agriculture: Estimate adverse agricultural impacts associated to ozone exposure, including relative yield losses (RYLs) and production and revenue losses. More details in the [Module4 agriculture](https://jgcri.github.io/rfasst/articles/Module4_agriculture.html) page. \n\nIn addition, the package includes some default input files (.Rda), that are read by the different functions. These can be changed by the user. Some of these constants include:\n- GCAM crop categories to be included in the analysis\n- Shares to allocate emissions between Russia Eastern (RUE) and Russia Western (RUS)\n- Coefficients and/or counterfactual values for exposure-response functions applied to estimate adverse health and agricultural impacts.\n- Baseline moratlity rates.\n- Median values for the health impact economic assessment (Value of Statistical Life)\n- Other\n\n\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n# \u003ca name=\"Publications\"\u003e\u003c/a\u003ePublications\n\u003c!-- ------------------------\u003e\n\u003c!-- ------------------------\u003e\n\n[Back to Contents](#Contents)\n\nPrevious to the development of this package, different studies have combined the use of GCAM and TM5-FASST:\n\n- Sampedro, J., Smith, S.J., Arto, I., González-Eguino, M., Markandya, A., Mulvaney, K.M., Pizarro-Irizar, C. and Van Dingenen, R., 2020. Health co-benefits and mitigation costs as per the Paris Agreement under different technological pathways for energy supply. Environment international, 136, p.105513.\n\n- Markandya, A., Sampedro, J., Smith, S.J., Van Dingenen, R., Pizarro-Irizar, C., Arto, I. and González-Eguino, M., 2018. Health co-benefits from air pollution and mitigation costs of the Paris Agreement: a modelling study. The Lancet Planetary Health, 2(3), pp.e126-e133.\n\n- Sampedro, J., Waldhoff, S.T., Van de Ven, D.J., Pardo, G., Van Dingenen, R., Arto, I., Del Prado, A. and Sanz, M.J., 2020. Future impacts of ozone driven damages on agricultural systems. 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