Stochastic Water Quality Modeling of an Impaired River Impacted by Climate Change
Author:
Affiliation:
1. CDM Smith, Suite 1100, Denver, CO 80202 (corresponding author).
2. U.S. Army Corps of Engineers, Portland, OR.
3. State of Washington, Dept. of Ecology, Olympia, WA 98503.
4. CDM Smith, Carlsbad, CA 92008.
Publisher
American Society of Civil Engineers (ASCE)
Subject
General Environmental Science,Civil and Structural Engineering,Environmental Chemistry,Environmental Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EE.1943-7870.0000971
Reference43 articles.
1. @RISK version 4.5. [Computer software]. Ithaca NY Palisades.
2. Predicting river water temperatures using stochastic models: case study of the Moisie River (Québec, Canada)
3. Brown C. (2011). “Decision scaling for robust planning and policy under climate uncertainty.” World Resources Rep. Washington DC.
4. Bureau of Reclamation. (2013). “Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of downscaled CMIP climate projections comparison with preceding information and summary of user needs.” U.S. Dept. of the Interio Bureau of Reclamation Technical Services Center Denver 47.
5. CDM. (2011). “Climate change handbook for regional water planning.” U.S. Environmental Protection Agency Region 9 and California Dept. of Water Resources 〈http://www.water.ca.gov/climatechange/docs/Climate_Change_Handbook_Regional_Water_Planning.pdf〉.
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