Data and Tools
-
KABAM Version 1.0 User's Guide and Technical Documentation - Appendix E - Selection of Bird Species of Concern and Corresponding Biological Parameters
Bird species of concern were identified to define default parameters (body weight and diet composition) to represent birds in KABAM. KABAM is a simulation model used to predict pesticide concentrations in aquatic regions for use in exposure assessments.
-
KABAM Version 1.0 User's Guide and Technical Documentation - Appendix F -Description of Equations Used to Calculate the BCF, BAF, BMF, and BSAF Values
Describes equations for bioconcentration, bioaccumulation, biomagnification and biota-sediment accumulation factors used in KABAM V1.0. KABAM is a simulation model used to predict pesticide concentrations in aquatic regions for use in exposure assessments.
-
T-HERPS Version 1.0 User's Guide for Risk to Amphibians and Reptiles from Pesticides
T-HERPS estimates dietary exposure and risk to terrestrial-phase amphibians and reptiles from pesticide use. Currently approved for assessing exposure and risk to the California red-legged frog and terrestrial-phase herptiles with similar dietary behavior
-
KABAM Version 1.0 User's Guide and Technical Documentation - Appendix C - Explanation of Default Values Representing Biotic Characteristics of Aquatic Ecosystem, Including Food Web Structure
Information relevant to KABAM and explanations of default parameters used to define the 7 trophic levels. KABAM is a simulation model used to predict pesticide concentrations in aquatic regions for use in exposure assessments.
-
Markov Chain Nest Productivity Model
MCnest is a tool to quantitatively estimate the impact of pesticide-use scenarios on the annual reproductive success of bird populations.
-
Priority 5 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 5 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
Priority 6 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 5 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
Priority 2 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 1 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
Priority 1 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 1 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
EPA Regional Laboratories—Applied Science & Field Sampling Support
Map of Environmental Response Laboratory Network applied science labs
-
Priority 4 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 4 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
Priority 3 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 3 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
Priority 7 of the Urban Waters Priority Activities in Region 4
Completed template for Priority 7 of the Urban Waters Regional Priorities for Fiscal Year 2015 - 2016
-
San Antonio Urban Waters Map
A map of the San Antonio Urban Waters restoration project
-
Albuquerque's 4 Districts Green Infrastructure Evaluation Matrices
Chart showing the evaluation of the Albuquerque's 4 Districts GI Evaluation. Includes handwritten notes.
-
Renovation and Repair, Part of Indoor Air Quality Design Tools for Schools
Renovation is one of the major causes of poor indoor air quality (IAQ) in schools, and is often conducted while the building is occupied.
-
Pelican Refining, LLC Government Exhibits
This document contains information about case exhibits
-
U.S. EPA Responses to Public Input Received on Development of the Clean Water Act Enforcement Action Plan, October 15, 2009
Table of Ideas Submitted and EPA Responses on the Enforcement Action Plan
-
Archive of Hazardous Waste Pharmaceuticals Wiki
The document is an archive of the pharms wiki page
-
Winners of the Wildland Fire Sensors Challenge Develop Air Monitoring System Prototypes
The winners of the Wildland Fire Sensors Challenge developed air sensor monitoring systems for detecting pollutants from wildland fire smoke using emerging next generation monitoring technologies..