Len Wright
University of Colorado Boulder
8 Papers
23 Citations
Len Wright is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Climate change & Baseline (configuration management). The author has an hindex of 4, co-authored 8 publications. Previous affiliations of Len Wright include Amec Foster Wheeler & University of Colorado Denver.
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Papers
Adapting to climate change: an integrated biophysical and economic assessment for Mozambique
Channing Arndt,Kenneth Strzepeck,Finn Tarp,Finn Tarp,James Thurlow,James Thurlow,Charles Fant,Len Wright +7 more
TL;DR: An integrated modeling framework that translates atmospheric changes from general circulation model projections into biophysical outcomes via detailed hydrologic, crop, hydropower and infrastructure models is developed, which identifies improved road design and agricultural sector investments as key ‘no-regret’ adaptation measures.
Estimated effects of climate change on flood vulnerability of U.S. bridges
Len Wright,Paul Chinowsky,Kenneth Strzepek,Russell Jones,Richard Streeter,Joel B. Smith,Jean Marc Mayotte,Anthony Powell,Lesley Jantarasami,William Perkins +9 more
TL;DR: In this article, the authors assessed the potential impacts of increased river flooding from climate change on bridges in the continental United States and found that tens of thousands to more than 100,000 bridges could be vulnerable to increased river flows.
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Field Test on Conversion of Natural Watershed into Kinematic Wave Rectangular Plane
TL;DR: In this article, two dimensionless watershed shape functions are derived to use parabolic function and trigonometric sine curve for watershed conversion, which produce good agreement with the maximum overland flow length method for hypothetical square watersheds.
9
Demand Constructs for Risk Analysis
I. Lippai,Len Wright +1 more
TL;DR: In this paper, a number of auxiliary programs were developed to replace conventional system demands with various alternative demand constructs, which were then used to investigate the impact of catastrophic failure on model performance.
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