Main Title |
Integrated modeling for integrated environmental decision making white paper / [electronic resource] : |
CORP Author |
Environmental Protection Agency, Washington, DC. |
Publisher |
U.S. Environmental Protection Agency, |
Year Published |
2008 |
Report Number |
EPA/100/R-08/010 |
Stock Number |
PB2009-109635 |
Subjects |
Environmental sciences--Mathematical models ;
Environmental risk assessment ;
Pollution--Mathematical models
|
Additional Subjects |
Environmental impacts ;
Decision making ;
Integration ;
Contaminants ;
Environmental exposure ;
Risk assessment ;
Land use management ;
Ecosystems ;
Climates ;
Environmental policy ;
Regulations ;
Statutes
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2009-109635 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
[69] p. : digital, PDF file, col. ill. |
Abstract |
Many white papers start with descriptions of the problem; this one begins with a vision. The vision involves EPA's response to the increasingly complex needs for environmental systems analysis ranging from multi-media contaminant exposure and risk assessment to regional scale land-use management to ecosystem services valuation to global climate and finally to the concept of environmental sustainability. The vision is of a future where EPA policies and activities are adaptive, collaborative and innovative. Decisions are informed using data, models, and assessments that are specifically developed to describe and forecast the integrated behavior of the environment in response to natural and human induced stress. This integrative systems approach is based on sound science and engages stakeholders throughout the process. Information is provided in a consistent manner across regulatory statutes, with full transparency and articulation of uncertainties. Individual stressors, important in one regulatory context, are evaluated in the context of co-occurring stressors, thus focusing on the total burden carried by the environment and minimizing the transfer of environmental problems from one regulatory context to another. Opportunities for trade-offs among stressors are recognized and the potential for simply transferring stress from one regulatory context to another is minimized. Environmental impact analyses for forecasting and source allocation are also available. The community of environmental stakeholders and associated organizations invest in the co-development of computer-based technologies that facilitate a collaborative approach to both integrated environmental science and decision support. |
Notes |
"EPA 100-R-08/010." "November 2008." Includes bibliographical references. |
Contents Notes |
Integrated modeling encompasses a broad range of approaches and configurations of models, data and assessment methods to describe and analyze complex environmental problems, often in a multimedia and multidisciplinary manner. This staff white paper recommends a commitment to a new direction in environmental modeling and decision making, one that adopts a systems thinking approach. |
Place Published |
Washington, D.C. |
Availability Notes |
Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |
Access Notes |
Mode of access: Internet from the EPA web site.; Title from title screen (viewed on January 2, 2009). |
Corporate Au Added Ent |
United States. Environmental Protection Agency. Office of the Science Advisor.; United States. Environmental Protection Agency. Council for Regulatory Environmental Modeling. |
PUB Date Free Form |
Nov 2008 |
Category Codes |
68; 70B |
NTIS Prices |
PC A05/MF A05 |
Primary Description |
100/00 |
BIB Level |
m |
Medium |
electronic resource |
Cataloging Source |
OCLC/T |
Control Number |
018800950 |
OCLC Time Stamp |
20090212110006 |
Language |
eng |
Origin |
NTIS |
Type |
MERGE |
OCLC Rec Leader |
01884nam 2200373Ia 45020 |