A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development
Abstract
Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and pinon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, developmentmore »
- Authors:
-
more »
- U.S. Geological Survey, Denver, CO (United States)
- U.S. Geological Survey, Seattle, WA (United States)
- U.S. Geological Survey, Denver, CO (United States); U.S. Dept. of Energy, Washington, D.C. (United States)
- Univ. of Miami, Miami, FL (United States)
- Univ. of California, Berkeley, CA (United States)
- U.S. Geological Survey, Menlo Park, CA (United States)
- Stanford Univ., Stanford, CA (United States)
- Arizona State Univ., Tempe, AZ (United States)
- U.S. Geological Survey, Reston, VA (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- U.S. Fish and Wildlife Service, Denver, CO (United States)
- Southwest Statistical Consulting, LLC, Cortez, CO (United States)
- U.S. Dept. of Interior, Washington, D.C. (United States)
- Bureau of Land Management, Denver, CO (United States); National Park Service, Wellfleet, MA (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1390035
- Report Number(s):
- NREL/JA-6A20-70102
Journal ID: ISSN 1520-7439
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Natural Resources Research
- Additional Journal Information:
- Journal Volume: 23; Journal Issue: 1; Journal ID: ISSN 1520-7439
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; energy resources; mineral resources; impact assessment; integrated assessment; environmental
Citation Formats
Haines, Seth S., Diffendorfer, Jay E., Balistrieri, Laurie, Berger, Byron, Cook, Troy, DeAngelis, Don, Doremus, Holly, Gautier, Donald L., Gallegos, Tanya, Gerritsen, Margot, Graffy, Elisabeth, Hawkins, Sarah, Johnson, Kathleen M., Macknick, Jordan E., McMahon, Peter, Modde, Tim, Pierce, Brenda, Schuenemeyer, John H., Semmens, Darius, Simon, Benjamin, Taylor, Jason, and Walton-Day, Katie. A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development. United States: N. p., 2013.
Web. doi:10.1007/s11053-013-9208-6.
Haines, Seth S., Diffendorfer, Jay E., Balistrieri, Laurie, Berger, Byron, Cook, Troy, DeAngelis, Don, Doremus, Holly, Gautier, Donald L., Gallegos, Tanya, Gerritsen, Margot, Graffy, Elisabeth, Hawkins, Sarah, Johnson, Kathleen M., Macknick, Jordan E., McMahon, Peter, Modde, Tim, Pierce, Brenda, Schuenemeyer, John H., Semmens, Darius, Simon, Benjamin, Taylor, Jason, & Walton-Day, Katie. A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development. United States. https://doi.org/10.1007/s11053-013-9208-6
Haines, Seth S., Diffendorfer, Jay E., Balistrieri, Laurie, Berger, Byron, Cook, Troy, DeAngelis, Don, Doremus, Holly, Gautier, Donald L., Gallegos, Tanya, Gerritsen, Margot, Graffy, Elisabeth, Hawkins, Sarah, Johnson, Kathleen M., Macknick, Jordan E., McMahon, Peter, Modde, Tim, Pierce, Brenda, Schuenemeyer, John H., Semmens, Darius, Simon, Benjamin, Taylor, Jason, and Walton-Day, Katie. Wed .
"A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development". United States. https://doi.org/10.1007/s11053-013-9208-6. https://www.osti.gov/servlets/purl/1390035.
@article{osti_1390035,
title = {A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development},
author = {Haines, Seth S. and Diffendorfer, Jay E. and Balistrieri, Laurie and Berger, Byron and Cook, Troy and DeAngelis, Don and Doremus, Holly and Gautier, Donald L. and Gallegos, Tanya and Gerritsen, Margot and Graffy, Elisabeth and Hawkins, Sarah and Johnson, Kathleen M. and Macknick, Jordan E. and McMahon, Peter and Modde, Tim and Pierce, Brenda and Schuenemeyer, John H. and Semmens, Darius and Simon, Benjamin and Taylor, Jason and Walton-Day, Katie},
abstractNote = {Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and pinon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. In conclusion, the framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.},
doi = {10.1007/s11053-013-9208-6},
journal = {Natural Resources Research},
number = 1,
volume = 23,
place = {United States},
year = {Wed May 15 00:00:00 EDT 2013},
month = {Wed May 15 00:00:00 EDT 2013}
}
Works referenced in this record:
Environment and energy in Iceland: A comparative analysis of values and impacts
journal, August 2007
- Thórhallsdóttir, Thóra Ellen
- Environmental Impact Assessment Review, Vol. 27, Issue 6
Strategic approaches to regional cumulative effects assessmet: a case study of the Great Sand Hills, Canada
journal, June 2008
- Noble, Bram
- Impact Assessment and Project Appraisal, Vol. 26, Issue 2
A GIS application for assessing, mapping, and quantifying the social values of ecosystem services
journal, April 2011
- Sherrouse, Benson C.; Clement, Jessica M.; Semmens, Darius J.
- Applied Geography, Vol. 31, Issue 2
The use of habitat equivalency analysis in natural resource damage assessments
journal, January 2004
- Dunford, Richard W.; Ginn, Thomas C.; Desvousges, William H.
- Ecological Economics, Vol. 48, Issue 1
Water Use for Shale-Gas Production in Texas, U.S.
journal, March 2012
- Nicot, Jean-Philippe; Scanlon, Bridget R.
- Environmental Science & Technology, Vol. 46, Issue 6
Quantitative assessment of future development of copper/silver resources in the Kootenai National Forest, Idaho/Montana: Part II—Economic and policy analysis
journal, December 1992
- Gunther, Thomas M.
- Nonrenewable Resources, Vol. 1, Issue 4
Basic concepts in three-part quantitative assessments of undiscovered mineral resources
journal, June 1993
- Singer, Donald A.
- Nonrenewable Resources, Vol. 2, Issue 2
Linking Ecology and Economics for Ecosystem Management
journal, January 2006
- Farber, Stephen; Costanza, Robert; Childers, Daniel L.
- BioScience, Vol. 56, Issue 2
Quantitative assessment of future development of cooper/silver resources in the Kootenai National Forest, Idaho/Montana: Part I—Estimation of the copper and silver endowments
journal, June 1992
- Spanski, Gregory T.
- Nonrenewable Resources, Vol. 1, Issue 2
Ecological and economic cost-benefit analysis of offshore wind energy
journal, June 2009
- Snyder, Brian; Kaiser, Mark J.
- Renewable Energy, Vol. 34, Issue 6
A Primer on Nonmarket Valuation
book, January 2003
- Champ, Patricia A.; Boyle, Kevin J.; Brown, Thomas C.
- The Economics of Non-Market Goods and Resources
Energy Return on Investment: Toward a Consistent Framework
journal, March 2008
- Mulder, Kenneth; Hagens, Nathan John
- AMBIO: A Journal of the Human Environment, Vol. 37, Issue 2
Assessing natural resource damages using environmental annuities
journal, September 1994
- Unsworth, Robert E.; Bishop, Richard C.
- Ecological Economics, Vol. 11, Issue 1
Exploring welfare implications of resource equivalency analysis in natural resource damage assessments
journal, February 2007
- Zafonte, Matthew; Hampton, Steve
- Ecological Economics, Vol. 61, Issue 1
Exploring welfare implications of resource equivalency analysis in natural resource damage assessments
journal, February 2007
- Zafonte, Matthew; Hampton, Steve
- Ecological Economics, Vol. 61, Issue 1
Assessing natural resource damages using environmental annuities
journal, September 1994
- Unsworth, Robert E.; Bishop, Richard C.
- Ecological Economics, Vol. 11, Issue 1
Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development
journal, July 2012
- Fargione, Joseph; Kiesecker, Joseph; Slaats, M. Jan
- PLoS ONE, Vol. 7, Issue 7
Greater Sage-Grouse Population Response to Energy Development and Habitat Loss
journal, November 2007
- Walker, Brett L.; Naugle, David E.; Doherty, Kevin E.
- Journal of Wildlife Management, Vol. 71, Issue 8
A Primer on Nonmarket Valuation
book, January 2017
- Champ, Patricia A.; Boyle, Kevin J.; Brown, Thomas C.
- The Economics of Non-Market Goods and Resources
Greater Sage-Grouse Population Response to Energy Development and Habitat Loss
journal, November 2007
- Walker, Brett L.; Naugle, David E.; Doherty, Kevin E.
- Journal of Wildlife Management, Vol. 71, Issue 8
Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development
journal, July 2012
- Fargione, Joseph; Kiesecker, Joseph; Slaats, M. Jan
- PLoS ONE, Vol. 7, Issue 7
Evaluating the Canada lynx reintroduction programme in Colorado: patterns in mortality: Mortality of lynx reintroduced to Colorado
journal, April 2010
- Devineau, Olivier; Shenk, Tanya M.; White, Gary C.
- Journal of Applied Ecology, Vol. 47, Issue 3
Mapping Oil and Gas Development Potential in the US Intermountain West and Estimating Impacts to Species
journal, October 2009
- Copeland, Holly E.; Doherty, Kevin E.; Naugle, David E.
- PLoS ONE, Vol. 4, Issue 10
Works referencing / citing this record:
Digital Economy as a Factor in the Technological Development of the Mineral Sector
journal, October 2019
- Litvinenko, V. S.
- Natural Resources Research, Vol. 29, Issue 3
A Practical Approach to Mine Equipment Sizing in Relation to Dig-Limit Optimization in Complex Orebodies: Multi-Rock Type, Multi-Process, and Multi-Metal Case
journal, June 2016
- Ruiseco, Julian Ramirez; Kumral, Mustafa
- Natural Resources Research, Vol. 26, Issue 1