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Evolution of India's PM2.5 Pollution Between 1998 and 2020 Using Global Reanalysis Fields

<p>These&nbsp;datasets are part of Supplementary information for the journal article<br> &quot;<a href="https://doi.org/10.1039/D2EA00027J">Evolution of India&rsquo;s PM2.5 Pollution Between 1998 and 2020 Using Global Reanalysis Fields Coupled with Satellite Observations and Fuel Consumption Patterns</a>&quot;</p> <p>Fuel consumption patterns linked to the evolution of PM2.5 pollution data is available <a href="https://doi.org/10.5281/zenodo.7156314">here</a><br> <a href="https://doi.org/10.5281/zenodo.7156314">https://doi.org/10.5281/zenodo.7156314</a></p> <p><br> Data period - 1998 to 2020<br> PM2.5 units - micro-gm/m3<br> State and District GIS Shapefiles are available here -&nbsp;<a href="http://projects.datameet.org/maps">https://projects.datameet.org/maps</a></p> <p><strong>List of files available for download</strong></p> <p>india_wustl_extracts_pm25_bygrid_annual.xlsx</p> <ul> <li>PM2.5 concentrations data resolution is 0.1 degrees</li> <li>Covers India and the remaining countries in the domain covering&nbsp;67E to 99E in longitudes and&nbsp;7N to 39 N in latitudes (Pakistan, Bangladesh, Nepal and partially Sri Lanka and Afghanistan)</li> </ul> <p>india_wustl_extracts_pm25_bystate.xlsx</p> <ul> <li>PM2.5 concentrations data aggregated at the state level</li> <li>States are as designated under Census 2011 + Telangana</li> <li>Total states =&nbsp;30</li> <li>Total Union Territories (UT) = 6</li> <li>JK as State includes new UT - Ladakh</li> </ul> <p>india_wustl_extracts_pm25_bydistrict.xlsx</p> <ul> <li>PM2.5 concentrations data aggregated at the district level</li> <li>Districts are as designated under Census 2011</li> <li>Total districts = 640</li> </ul> <p>india_wustl_extracts_pmsa.xlsx</p> <ul> <li>PM2.5 source apportionment concentrations aggregated at state and district level&nbsp;</li> <li>36 states and UTs</li> <li>640 districts</li> <li><a href="https://sites.wustl.edu/acag/datasets/gbd-maps/">GBDMAPS source classification</a> <ul> <li>1. AFCID = Anthropogenic Fugitive, Combustion, and Industrial Dust</li> <li>2. AGR = Agriculture - includes manure management, soil fertilizer emissions, rice cultivation, enteric fermentation, and other agriculture</li> <li>3. ENEcoal = Energy Production (coal combustion only) - Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires</li> <li>4. ENEother = Energy Production (all non-coal combustion) - Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires</li> <li>5. GFEDagburn = Agricultural Waste Burning - Includes solid waste disposal, waste incineration, waste-water handling, and other waste handling (from the GFED fires inventory)</li> <li>6. GFEDoburn = Other Open Fires - Includes deforestation, boreal forest, peat, savannah, and temperate forest fires (from the GFED fires inventory)</li> <li>7. INDcoal = Industry (coal combustion only) - Includes Industrial combustion (iron and steel, non-ferrous metals, chemicals, pulp and paper, food and tobacco, non-metallic minerals, construction, transportation equipment, machinery, mining and quarrying, wood products, textile and leather, and other industry combustion) and non-combustion industrial processes and product use (cement production, lime production, other minerals, chemical industry, metal production, food, beverage, wood, pulp, and paper, and other non-combustion industrial emissions)</li> <li>8. INDother = Industry (all non-coal combustion) - Includes Industrial combustion (iron and steel, non-ferrous metals, chemicals, pulp and paper, food and tobacco, non-metallic minerals, construction, transportation equipment, machinery, mining and quarrying, wood products, textile and leather, and other industry combustion) and non-combustion industrial processes and product use (cement production, lime production, other minerals, chemical industry, metal production, food, beverage, wood, pulp, and paper, and other non-combustion industrial emissions)</li> <li>9. NRTR = non-road/ off-road transportation - Includes Rail, Domestic navigation, Other transportation</li> <li>10. OTHER = all remaining sources, including: volcanic SO2, lightning NOx, biogenic soil NO, ocean emissions, biogenic emissions, very short lived iodine and bromine species, decaying plants (misc. inventories)</li> <li>11. RCOC = Commercial Combustion - Includes commercial and institutional combustion</li> <li>12. RCOO = Other Combustion - Includes combustion from agriculture, forestry, and fishing</li> <li>13. RCORbiofuel = Residential combustion (solid biofuel combustion only) - includes residential heating and cooking</li> <li>14. RCORcoal = Residential combustion (coal combustion only) - includes residential heating and cooking</li> <li>15. RCORother = Residential Combustion (all non-coal and non-solid biofuel) - includes residential heating and cooking</li> <li>16. ROAD = Road Transportation - includes cars, motorcycles, heavy and light duty trucks and buses</li> <li>17. SHP = International Shipping - Includes international shipping and tanker loading</li> <li>18. SLV = Solvents - Includes solvents production and application (degreasing and cleaning, paint application, chemical products manufacturing and processing, and other product use)</li> <li>19. WDUST = Windblown Dust - (from the DEAD dust model)</li> <li>20. WST = Waste - Includes solid waste disposal, waste incineration, waste-water handling, and other waste handling</li> </ul> </li> <li>Aggregated Source definitions used in this presentation <ul> <li>1. DUST = Anthropogenic dust = AFCID</li> <li>2. WINDUST = Wind erosion (dust storms) = WDUST</li> <li>3. WASTE = Waste burning = WST</li> <li>4. RESI = All commercial and residential cooking, lighting, and heating = RCOC + RCOO + RCORbiofuel + RCORcoal + RCORother</li> <li>5. TRANS = All transport (excluding aviation) = ROAD + NRTR + SHP</li> <li>6. POWER = Energy generation = ENEcoal + ENEother</li> <li>7. INDUS = All industries and product use = INDcoal + INDother + SLV</li> <li>8. BIOB = Biomass burning, including forest fires and agricultural waste burning = GFEDoburn + GFEDagburn</li> <li>9. AGR = Agricultural activities (excluding agricultural waste burning) = AGR</li> <li>10. OTHER = All others = OTHER</li> </ul> </li> </ul> <p>India_PMSA_APnA_50airsheds_CAMxOutputs.csv</p> <ul> <li> <p>Summary of estimated source contributions to ambient PM2.5 concentrations, including the contribution of sources outside the city airsheds. These results are explained and discussed in journal articles.<br> 1.&nbsp;Air pollution knowledge assessments (APnA) for 20 Indian cities [<a href="https://doi.org/10.1016/j.uclim.2018.11.005">link</a>]<br> 2.&nbsp;National Clean Air Programme (NCAP) for Indian cities: Review and outlook of clean air action plans [<a href="https://doi.org/10.1016/j.aeaoa.2020.100096">link</a>]<br> 3. Also explained here&nbsp;<a href="https://zenodo.org/record/6919069#.YzKHIHZBxPY">https://zenodo.org/record/6919069#.YzKHIHZBxPY</a>&nbsp;</p> </li> </ul> <p>&nbsp;</p> <p>Original data source at 0.01 degree resolution:&nbsp;<a href="https://sites.wustl.edu/acag/datasets/surface-pm2-5">https://sites.wustl.edu/acag/datasets/surface-pm2-5</a><br> &nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0