The composite score for the rankings are calculated as a sum of fractions of sector impact relative to total impact across all sectors by each selected indicator, and then this fraction for a sector was summed across all indicators. Resour. The modeling steps were written in Python and consolidated into a software package called flowsa. Three standard national level demand vectors were created for use with the model to calculate potential impacts of US consumption, production and consumption from households. Emissions are assigned to industries based on the NAICS reported by each facility to the dataset. The calculation of total impact, H, measured with indicator, i, associated with a purchase of commodity, c, in year y USD, with the cost of the commodity $c given in purchaser price would be calculated with Eq. A series of coefficient matrices are provided that are products of combining more than one of the economic, physical flow, and indicator components. https://pasteur.epa.gov/uploads/10.23719/1365565/documents/USEEIOv1.1-DescriptionofSatelliteTableUpdates.pdf (U.S. Environmental Protection Agency, 2017). Five water withdrawal categories are directly attributed to sectors. Slider with three articles shown per slide. U.S. Census Bureau https://www.census.gov/naics/2012NAICS/2-digit_2012_Codes.xls (2019). The 5-digit NAICS in the RCRAInfo codes do not count flows present in the 6-digit codes. & A., P. M. Concepts and Methods of the U.S. Input-Output Accounts. Here we describe updates made for eight satellite tables to reflect new methods for flow sector attribution modeling. Emissions from purchased goods and services and capital goods, referred to as Scope 3 emissions in the Greenhouse Gas Protocol Scope 3 Accounting and Reporting Standard, represent a significant emissions source for many organizations. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1369615 (2017). These include values such as the carbon dioxide equivalencies of the flows that are greenhouse gases. The state data are summed to calculate national land use by animal type for pasture and grazed land. ACID in utilities, manufacturing and transportation sectors is largely driven by criteria air pollutant emissions like sulfur dioxide (SO2) and nitrogen oxides (NOX). AC-17-SS-1 https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/Farm_and_Ranch_Irrigation_Survey/fris.pdf (U.S. Department of Agriculture, 2019). Please click here to see any active alerts. To ensure that these changes do not violate the balance required to build the model, both the commodity and industry totals of the Make and Use tables were compared after the disaggregation process to the original datasets in a commodity-to-commodity and industry-to-industry comparison. Data for commercial hazardous waste are sourced from the Resource Conversation Recovery Act Biennial Report, the same source as used in v1.2. Emissions Factors 2022 is now available. L, the Leontief inverse, or the total requirements matrix, is obtained from A, using Eq. 2014 generator-based characterization of commercial sector disposal and diversion in california. The flow-by-sector method names for the corresponding datasets are shown in Table9. Emissions (carbon intensity) associated with fuel combustion. Other economic data sources used include the Gross Industry Output data and the associated Gross Output Chain-Type Price Index data for years 20022017, the 2012 Margins data that contain the value added per commodity between point of manufacture and point of sale that make up the difference between producers and purchasers price, and the 2012 Import Matrix (Table1).
