Skip to main content

Pacific Northwest National Laboratory

State policies can support renewable energy development by driving markets, providing certainty in the investment market, and incorporating the external benefits of the technologies into cost/benefit calculations. Using statistical analyses and policy design best practices, this paper quantifies the impact of state-level policies on renewable energy development in order to better understand the role of policy on development and inform policy makers on the policy mechanisms that provide maximum benefit. The results include the identification of connections between state policies and renewable energy development, as well as a discussion placing state policy efforts in context with other factors that influence the...
thumbnail
More than 23,000 field measurements of cheatgrass cover were acquired from various agencies and research groups across the study area and reviewed for use in the mapping effort. A subset of 6650 field measurements were used to statistically evaluate relationships between cheatgrass and a suite of 50 biophysical and remotely sensed (NDVI) variables. Variables were examined for pairwise correlation and highly correlated variables were discarded from the analysis. Eighteen of the 50 variables were selected to construct a Generalized Linear Model to classify cheatgrass occurrence. A decision rule based on strength of class membership was used to classify the study area as containing either 0-2% or >2% cheatgrass cover....
The timely development of the nation's energy production capacity in a manner that minimizes potential adverse local and regional impacts associated with energy facilities requires the use of sophisticated techniques for evaluation of siting alternatives and fuel cycle options. This report is a documentation of the computerized SITE methodology that has been developed for evaluating health, environmental, and socioeconomic impacts related to utilization of alternate sites for energy production within a region of interest. The cost, impact, and attribute vectors, which are generated and displayed on density maps, can be used in a multiparameter overlay process to identify preferable siting areas. The assessment of...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.