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10 results for “InMAP”
InMAP Grid
<p>This is a variable sized grid outputted from the Intervention Model for Air Pollution (<a href="https://www.inmap.run/">InMAP</a>) model. Smaller grid cells are used for more densely populated locations. This grid covers the contiguous United States and is projected in Lambert Conformal Conic (LCC) coordinates.</p>
InMAP Source-Receptor Matrix (ISRM) dataset
<p>The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (<a href="http://spatialmodel.com/inmap/">InMAP</a>), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).</p> <p>**This is an updated dataset from a previous version. The "marginal_values" file has been updated. The S-R matrix (isrm_v1.2.1) is the original file.</p>
InMAP Source-Receptor PM2.5 Concentrations from 2014 EPA NEI
<p>These are the PM2.5 concentration datasets computed using the InMAP source-receptor (SR) matrices, with the 2014 EPA National Emissions Inventory (NEI) as inputs.</p> <p>There are 120 total files in this zip file:</p> <ol> <li>19 sectors * 5 pollutants (NH<sub>4</sub>, NO<sub>3</sub>, primary PM<sub>2.5</sub>, SO<sub>4</sub>, SOA) = 95 files, representing the <strong>contribution of each pollutant in each of those sectors to the total PM<sub>2.5</sub> concentration</strong>; these files are directly calculated from the NEI and SR matrices;</li> <li>An additional 19 files representing <strong>each sector's total contribution to the PM<sub>2.5</sub> concentration</strong>, calculated by summing together the contributions from all 5 of the pollutants for each of the 19 sectors,</li> <li>An additional 5 files representing the <strong>overall PM<sub>2.5</sub> concentration across all sectors</strong>, calculated by summing together the contributions from all of the 19 sectors, for each of the 5 pollutants,</li> <li>An additional 1 file representing the <strong>overall total PM<sub>2.5</sub> concentration across all sectors and pollutants</strong>, calculated by summing together the contributions of all 19 sectors and all 5 pollutants.</li> </ol> <p>Every file is saved as a .mat file and can be loaded into MATLAB using the load() function. Each .mat file has dimensions of 52411x1, where each value represents a PM<sub>2.5</sub> concentration in one of the 52411 InMAP grid cells. You will need to download the InMAP grid shapefile in order to project and map this data.</p>
2014 EPA National Emissions Inventory allocated to the grid cells of InMAP Source-Receptor Matrix
<p>This dataset is the 2014 EPA National Emissions Inventory (NEI) v1 allocated to the individual grid cells of InMAP Source-Receptor Matrix (<a href="https://zenodo.org/record/2589760#.Yds79GjMI2w">ISRM</a>). The source types is classified by EPA Source Classification Codes (SCCs). The dataset includes emissions of both primary and secondary PM<sub>2.5</sub>. Secondary PM<sub>2.5</sub> includes four precursors: NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC. The detailed description of emission processing is in <a href="https://doi.org/10.1073/pnas.1818859116">Tessum et al. (2019</a>).</p> <p>Each shapefile in the dataset is in the format of input file of <a href="http://spatialmodel.com/inmap/">InMAP</a>/ISRM, which includes the emission amounts of five pollutants (Primary PM<sub>2.5</sub>, NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC), stack information (height, diameter, temperature, and velocity), and SCCs. The unit of emissions is <span class="math-tex">\(\mu g/s\)</span>. (If these emissions are used directly with the ISRM, the resulting outputs will be concentrations, in units of <span class="math-tex">\(\mu g/m^3\)</span>.)</p>
Evaluation data for "Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution)"
<p>This zip file contains data for performing Global InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>measurements.csv<br> Vetted global dataset of ground-level annual-average measurements of total PM2.5 and species (pNO3, pSO4, pNH4) compiled from monitoring networks, used for model performance evaluation. Data sources are: World Health Organization (Global), European Environment Agency (Europe), National Air Pollution Surveillance Program (Canada), Environmental Protection Agency (United States of America), Central Pollution Control Board (India), Australian Government State of the Environment (Australia), and Acid Deposition Monitoring Network In East Asia (EANET) (East Asia).</p> <p>population directory<br> Population count data is from the Gridded Population of The World (v4.10) projected to year 2020. The data is in 15x15 arcminute grids, except for in grid cells where the population is above 80,000, where the population data is 30x30 arcseconds.</p> <p>GlobalInMAPData_v1.ncf<br> Regular-grid Global InMAP input data for the year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from GEOS-Chem v.11-01 simulation outputs with the 'inmap preproc' command.</p> <p>global_inmap_004x003_v1.1.0.gob<br> Global InMAP variable grid resolution input data for coords for year 2016 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command using GlobalInMAPData_v1.ncf and population.shp.</p> <p>2016_emissions directory<br> Total PM2.5 and precursor emissions to arrive at total PM2.5 concentrations from Global InMAP. Units for polygonized emissions inputs (shapefiles) are short (US) tons/yr, and units for gridded emissions inputs (NetCDF files) are kg/yr.</p> <p>global_emission_changes directory<br> nh3.nc, nox.nc, and sox.nc are gridded emissions for changes in inorganic precursors for comparing Global InMAP and GEOS-Chem. Units are kg/yr. NH4-gc.nc, NIT-gc.nc, and SO4-gc.nc are results for changes in concentrations arising from these changes in emissions for 3 months, 1 month, and 2 months.</p> <p>usa_emission_changes directory<br> Emissions for comparing Global InMAP and US InMAP (described in Tessum et al., 2017).<br> Emissions are derived using the United States National Emissions Inventory (NEI) 2014v.1, processed exactly as in Thakrar et al., 2020.<br> Emissions are coal-powered electricity generation (NEI Source Classification Code: 10100212) and gasoline passenger vehicles (NEI Source Classification Code: 2201210080).<br> Units are ug/s.</p> <p>Tessum, C.W.; Hill, J.D.; Marshall, J.D. InMAP: A model for air pollution interventions. PloS One 2017, 12 (4) e0176131.<br> Thakrar, S.K.; Balasubramanian, S.; Adams, P.J.; Azevedo, I.M.; Muller, N.Z.; Pandis, S.N.; Polasky, S.; Pope III, C.A.; Robinson, A.L.; Apte, J.S.; Tessum, C.W.; Marshall, J.D.; Hill; J.D. Reducing mortality from air pollution in the United States by targeting specific emission sources. Environmental Science & Technology Letters 2020, 7(9), pp.639-645.<br> Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H41V5BX1.</p>
Evaluation data for the Intervention Model for Air Pollution (InMAP) version 1.6.1
<p>This directory contains data for performing InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>- annual_all_2005.csv: U.S. EPA annual average measured air pollution data for year 2005, downloaded from EPA AirData at http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/download_files.html. </p> <p>- census2013blckgrp.shp and associated files: US Census Bureau estimates of average population counts for several demographic groups for years 2011-2015. Descriptive and license information regarding these files can be found in census2013blckgrp_README.txt</p> <p>- InMAPData_v1.6.1.gob: InMAP variable grid resolution input data for the continental U.S. year 2005 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command.</p> <p>- InMAPData_v1.2.0.ncf: Regular-grid InMAP input data for the continental U.S. year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command. This file has not changed since version 1.2. Information regarding the WRF-Chem simulations is available in: Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- mortalityRates2013.shp and associated files: Year 2013 all-population, all-cause mortality rate data from the CDC WONDER database (http://wonder.cdc.gov). Descriptive information regarding these files can be found in mortalityRates2013_README.txt</p> <p>- states.shp and related files: U.S. state boundaries for making evaluation maps.</p> <p>- la_test directory: Files with the area surrounding the city of Los Angeles extracted for faster-running tests.</p> <p>- 2005_emissions directory: Anthropogenic emissions from the 2005 U.S. EPA National Emissions Inventory (NEI), processed using the AEP model (https://github.com/ctessum/aep) (files Elevated.shp and GroundLevel.shp), and biogenic and wilfire emissions (file bioFireEmis.shp) calculated following the methods in Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- singleSource directory: Regular-grid InMAP input data for los Angeles for year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command, based on a 9 - 3 - 1 km nested WRF-Chem simulation which only included emissions from a single source in downtown Los Angeles. The directory includes four different InMAPData_*.ncf files, three corresponding to the three WRF-Chem domains and one for a nested InMAP simulation. The directory also contains an inmapEmis.shp shapefile and supporting files that contain emissions matching the emissions used in the WRF-Chem simulation. More information about this simulation can be found in the InMAP model description article.</p> <p>- FuelScenarios directory: This directory contains two subdirectories. "Emissions" contains spatial emissions information corresponding to the emissions scenarios described at doi: 10.1073/pnas.1406853111. "Concentrations" contains changes in pollutant concentrations resulting from WRF-Chem simulations of the emissions scenarios, also described and discussed at doi: 10.1073/pnas.1406853111.</p>
InMAP Source-Receptor Matrix (ISRM) dataset
<p>The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (<a href="http://spatialmodel.com/inmap/">InMAP</a>), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).</p>
Sliced layers of InMAP ISRM data
<p>The <a href="https://inmap.run/">InMAP</a> Source-Receptor Matrix (<a href="../records/2575081">ISRM</a>) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. This dataset is generated from ISRM. This dataset includes the sliced layers of source-receptor relation for each pollutant (5 in total) and each stack height (3 in total). More details of the dataset can be found in the following two published journal articles:</p> <p>Wang, Yuzhou, et al. "Location-specific strategies for eliminating US national racial-ethnic PM 2.5 exposure inequality." <em>Proceedings of the National Academy of Sciences</em> 119.44 (2022): e2205548119.</p> <p>Wang, Yuzhou, et al. "Air quality policy should quantify effects on disparities." <em>Science</em> 381.6655 (2023): 272-274.</p>
National Emissions Inventory crosswalk for the InMAP Source-Receptor Matrix (ISRM) dataset
<p>The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (<a href="http://spatialmodel.com/inmap/">InMAP</a>), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).</p> <p>These files join the US EPA National Emissions Inventory to the ISRM to facilitate future analyses. The original ISRM file can be found here: <a href="https://zenodo.org/record/3590127#.Xt0Z4GhKhPb">https://zenodo.org/record/3590127#.Xt0Z4GhKhPb</a></p>
Census demographic data for the InMAP Source-Receptor Matrix (ISRM) dataset
<p>The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (<a href="http://spatialmodel.com/inmap/">InMAP</a>), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).</p> <p>These files join US Census demographic information to the ISRM to facilitate future analyses. The original ISRM file can be found here: <a href="https://zenodo.org/record/3590127#.Xt0Z4GhKhPb">https://zenodo.org/record/3590127#.Xt0Z4GhKhPb</a></p>
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