1,725,371 research outputs found
US EPA Food Recovery Challenge Baseline data
Joining the Food Recovery Challenge can help you become aware of several free food waste assessment tools available from US EPA that help measure and track the amount, type of, and source of food and packaging waste generated at your school. Participants also have access to the Sustainable Materials Management (SMM) Data Management System, which provides the ability to effectively and easily record data and track progress toward your food waste reduction goals.Funded by U.S. Environmental Protection Agency Region 5Ope
US EPA Food Recovery Challenge Baseline data
Joining the Food Recovery Challenge can help you become aware of several free food waste assessment tools available from US EPA that help measure and track the amount, type of, and source of food and packaging waste generated at your school. Participants also have access to the Sustainable Materials Management (SMM) Data Management System, which provides the ability to effectively and easily record data and track progress toward your food waste reduction goals.Open Restriction set for Item 106245 on 2018-07-10T22:49:44Z with date null by [email protected] by Laura Barnes ([email protected]) on 2018-07-10T22:52:18Z
No. of bitstreams: 1
epa-frc-baseline-data-cover.pdf: 387680 bytes, checksum: 6125d66a76c7bcb7b7fbd1b6352037c7 (MD5)Made available in DSpace on 2018-07-10T22:52:18Z (GMT). No. of bitstreams: 1
epa-frc-baseline-data-cover.pdf: 387680 bytes, checksum: 6125d66a76c7bcb7b7fbd1b6352037c7 (MD5)
Previous issue date: 2016Funded by U.S. Environmental Protection Agency Region 5Ope
Best Practices for Solid Waste Management: A Guide for Decision-Makers in Developing Countries
Development of adaptive computerized technology for real-time control of wastewater treatment facilities
Progress Report to the US EPA, Exploratory Research Program, Project R82-0181-010
S40 | ALGALTOX | Algal toxins list from CompTox
<p>This is the collection associated with list S40 ALGALTOX on the NORMAN Suspect List Exchange.</p>
<p><a href="https://www.norman-network.com/?q=suspect-list-exchange">https://www.norman-network.com/?q=suspect-list-exchange</a></p>
<p>S40</p>
<p>ALGALTOX</p>
<p><strong>Algal toxins list from CompTox</strong></p>
<p>ALGALTOX <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/120219Update/ALGALTOX_14022019.xlsx">XLSX</a>, <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/120219Update/ALGALTOX_14022019.csv">CSV</a> (14/02/2019)<br>
CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/algaltox">ALGALTOX List</a></p>
<p>ALGALTOX <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/120219Update/ALGALTOX_InChIKeys_14022019.txt">InChIKeys </a>(14/02/2019)</p>
<p>List of algal toxins (generated during blooms) from the CompTox Chemicals Dashboard.</p>
Onsite sewage system regulation along the Great Lakes and the US EPA Homeowner Awareness model
According to the United States Environmental Protection Agency (US EPA), a significant percentage of residential onsite sewage systems (OSSs) are failing at any given time. The US EPA has therefore issued a set of recommended guidelines for OSS regulatory programs aimed at reducing overall failure rates. We conducted a survey of OSS regulatory program administrators with jurisdictions bordering a Great Lake. Our goal was to determine their programs\u27 capacities to meet the US EPA\u27s recommendalions. We found that although some local programs meet the US EPA\u27s recommendations, most do not. In this article, we present our findings and conclusions for one of the US EPA\u27s models, the baseline Homeowner Awareness model. Most areas do not have recommended requirements that systems be inspected when properties transfer between owners. A majority do not track changes in ownership within the computerized databases they use to record information about systems. Although most provide at least one-time information to homeowners regarding proper OSS maintenance, most do not contact them periodically with reminders of needed maintenance. We include recommendations for resolving some of the issues that our research identified
REcoTox: REcoTox - a workflow to process US EPA ECOTOX Knowledgebase ASCII files
REcoTox is a semi-automated, interactive workflow to process US EPA ECOTOX Knowledgebase entire database ASCII files to extract and process ecotoxicological data relevant (but not restricted) to the ecotoxicity groups algae, crustaceans, and fish in the aquatic domain. The latest version of the ASCII files is available on US EPA ECOTOX Knowledgebase. The focus is aquatic ecotoxicity and the unit of the retrieved data is mg/L.To cite package "REcoTox" in publications use
Reuse of treated sewage: easy reference to US EPA and WHO guidelines and regulations
Reuse of treated sewage: easy reference to US EPA and WHO guidelines and regulation
CMAQ Model Version 5.5 CRACMM2 Input Data (2022r1) - 12/22/2021 - 12/31/2022 12km CONUS
Data SummaryCMAQv5.5/CMAQv6.0 input data for the CRACMM2 chemical mechanism for a 12/22/2021 - 12/31/2022 simulation over the Continental US.
Note: The datasets are part of the CMAS Center Amazon Web Services (AWS) Open Data Program and are saved in an AWS S3 bucket. The metadata associated with this DOI contain the link to the S3 bucket and instructions for downloading the data.File Location and Download Instructions
Link to emissions, initial, and boundary conditions input files for 2022 12US1 CRACMM2
Link to download instructions
This S3 bucket contains CMAQ-ready emissions, initial, and boundary conditions input files suitable for running a simulation using the CRACMM2 chemical mechanism.
Model-ready emissions inputs using CRACMM2 speciation and files linking representative day emissions to specific calendar days are located under
2022_12US1/emis/cracmmv2_20241031/ and 2022_12US1/emis/emis_dates/
Boundary conditions files are located under 2022_12US1/icbc/CMAQv54_2022_108NHEMI_STAGE_CRACCM2_FROM_CB6R5M/
An initial conditions file for December 22, 2021 is located under 2022_12US1/icbc/
Meteorology Inputs
The meteorology used in processing these emissions and suitable for running CMAQv5.5 can be found at https://registry.opendata.aws/epa-2022-modeling-platform/
Emissions Inputs
2022 CRACMMv2 2022v1 (2022hc) emissions (labeled '2022r1') largely follow the 2022 modeling platform inventory methods used to generate the data available from this AWS S3 bucket except for CRACMMv2 speciation (Skipper et al., 2024). Mobile emissions have been further updated to follow Murphy et al. 2023.
In addition, and new to CRACMM2, CRACMM2 changes how emissions inventories of primary organic aerosol (POA) are allocated to model species of different volatility and functionality. In CRACMM2, POA emissions are assigned to CRACMM species in S2S-Tool+SMOKE and present in the CMAQ-ready files with CRACMM names. The POA inventory is aligned with species of saturation concentrations of 100 µg/m3 and below as described by Pye et al. (2025). DESID should not be used to apply POA volatility profiles to emissions as they have already been applied upstream.
However, in the case of the residential wood combustion files included in this dataset, an additional adjustment (not available at the time of CRACMM2 nor when these emissions were created) is recommended at runtime in DESID. See the “Scale Fire ROC Emissions to account for organic compound volatility” section in the CMAQv5.5 CMAQ_Control_DESID_cracmm2_2022r1.nml namelist file for further details. These files are located under the scripts directory.
Boundary and Initial Conditions Inputs for 12US1 CMAQ CRACMM2 Simulation
Hourly values from a simulation over the Northern Hemisphere performed with a modified version of CMAQv5.4 using the CB6R5M_AE7_AQ mechanism updated to include aerosol nitrate photolysis as described in Sarwar et al. (2024). Mapping of CB6R5M_AE7_AQ to CRACMM2 mechanism species was performed using this file provided in the CMAQ github code repository. The following is a list of input files and science options used in these hemispheric CMAQ simulations.
No bi-directional NH3 air-surface exchange
STAGE module for dry deposition
Online windblown dust module turned on
Chemical mechanism: cb6r5m updated to include aerosol nitrate photolysis as described in Sarwar et al. (2024)
Aerosol module: aero7
Domain: Northern Hemisphere using a 108 km grid size and Polar Stereographic projection assuming a spherical earth with radius 6370.0 km.
Vertical Resolution: 44 layers from the surface to 50 mb
Meteorological fields: WRF4.4.1
Emissions: 2019 HTAP v3.0 anthropogenic emissions + GEIA lightning NO + CAMS biogenic VOC + CAMS soil NO.
Initial conditions for December 22, 2021 and hourly boundary conditions for the December 22 – 31, 2021 spin-up period were generated from a 36 km simulation over North America performed with CMAQv5.4 using the CB6R5_AE7_AQ mechanism. Mapping of CB6R5_AE7_AQ to CRACMM2 mechanism species was performed using the same approach as described above for CB6R5M_AE7_AQ but removing the species specific to detailed marine chemistry.
Additional required inputs for CMAQ
In addition to these meteorology, emissions, initial, and boundary conditions files, users will also need certain other mechanism and time independent input files to perform a 2022 12US1 simulation of CMAQv5.5 using CRACMM2. The following files are included with this 2022 data repository:
GRIDDESC grid description file for the 12US1 domain
12US1 grid mask file for US states (can be used with DESID or ISAM)
Gridded normalized biogenic emission factors for running with inline BEISv4
EPIC files needed when running with bi-directionaly NH3 air-surface exchange
Lighting NO files based on lightning data from WWLLN
Land surface files needed for running with inline biogenics from MEGAN
Ocean files (needed for sea spray emissions)
Scripts and control files
Example run script and CMAQ Control DESID file for running CMAQv5.5 with these 2022 input files.
Resources for setting up a CMAQ simulation
CMAQ benchmark tutorial for CRACMM2: describes how to prepare your Linux system for installing and running CMAQ.
File Format
The 2022 model inputs are stored as uncompressed netcdf formatted files using I/O API data structures. Information on the model projection and grid structure is contained in the header information of the netcdf files. The netcdf files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).
CRACMM2 emissions are compatible with the CRACMM1 mechanism
Using these emissions in CRACMM1 requires minor adjustments following this guidance: https://usepa.github.io/CRACMM/emissions/README.htmlRecommended citations
For traceability, please cite use of these inputs with the dataset doi of https://doi.org/10.15139/S3/BDLBTW. For method documentation, please cite at least one of the following CMAQ-CRACMM publications that best matches your usage of the data:
Pye et al. (2023): Overall CRACMM approach for chemistry and emissions.
Skipper et al. (2024): CRACMM version 2, updated gas-phase emissions mapping rules for select species (see , formaldehyde.
Pye et al. (2025): CRACMM 2 POA mapping to volatility and O:C species
2014 version 7.1 NEI Emissions Modeling Platform
Introduction
This 2014 modeling platform includes all criteria air pollutants and precursors (CAPs), two groups of hazardous air pollutants (HAPs) and diesel particulate matter. The first group of HAPs are those explicitly used by the chemical mechanism in the Community Multiscale Air Quality (CMAQ) model for ozone/particulate matter (PM): chlorine (Cl), hydrogen chloride (HCl), benzene, acetaldehyde, formaldehyde, methanol, naphthalene. The second group consists of 51 HAPs or HAP groups (such as polycyclic aromatic hydrocarbon groups) added to CMAQ for the purposes of air quality modeling for the 2014 National Air Toxics Assessment (NATA). The latter five HAPs in the first group are also abbreviated as NBAFM in subsequent sections of the document. A list of all HAPs and diesel species in this modeling platform is in Appendix A. This platform is called the “2014 NATA-Based Platform, version 7.1” (2014v7.1) because it is a HAP-CAP used primarily for NATA. Here, “version 7.1” denotes an evolution from the earlier versions of the 2014-based platform. Version 7.0 supported the initial modeling for NATA. A version subsequent to that supported a CAP application of the 2014 NEI. Both platforms were the starting point for a number of the ancillary (non-emissions) data files for version 7.1.
The 2014v7.1 platform was used to support the 2014 NATA, the focus of which is multipollutant modeling of HAPs and CAPs using CMAQ version 5.2 multipollutant. The CMAQ modeling domain includes the lower 48 states and parts of Canada and Mexico. The 2014 NATA also utilizes the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD), which is an air dispersion modeling system, for all NEI HAPs (about 130 more than covered by CMAQ) across all 50 states, Puerto Rico and the Virgin Islands. Emissions preparation for AERMOD is discussed elsewhere.
Data Summary:
U.S. EPA National Emissions Inventory Version 2. 2014 Modeling Platform version 7.1
Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.These packages contain the CMAQ-ready, gridded, speciated hourly emissions files for 2014 including 15 days of spinup days.
File Location and Download Instructions:
Link to SMOKE Output FilesDownload instructions
File Format:The case name for these SMOKE output files is "2014fa_nata_cb6cmaq_14j", which serves as the basis of EPA's 2014v7.0 platform for air quality modeling for the National
Air Toxics Assessment (NATA). CMAQ model-ready emissions generated using these packages with SMOKE v4.5 should be identical to those used in EPA's 2014v7.0 platform. The detail information regarding to all the inventories, ancillary files and run scripts from the NEIv2 Platform package v7.1 is available from EPA's Clearinghouse of for Inventories and Emission Factors (CHIEF) site.Simulation Information:
2014 National Emissions Inventory, Version 2.0
Emissions Modeling Platform: Version 7.1
Modeling Period: December 2013 ~ December 2014
Format: IOAPI/NetCDF-formatted Gridded, Speciated Hourly Emissions
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