Comprehensive Greenhouse Gas Management for the Electric Generating Industry

Climate change is becoming more visible in the political arena. Electric generating companies will likely be impacted by future regulation of climate change related emissions. Even though few climate related programs are mandatory, electric generating companies should begin to implement greenhouse gas management systems. This report includes a review of issues facing the electric generating industry, an examination of current emission management programs, and recommendations for an effective greenhouse gas management framework. An effective greenhouse gas management program allows a company to continually improve their impact on climate change by reducing emissions using the plan, do, check, act process. To ease the reporting burden, companies should apply de minimis exemptions to sources that produce less than 5% of emissions.

USLE and WEPP Soil Erosion Models: Their Applicability and Use in Generating Cover Values to Stabilize Soil in the Los Alamos, New Mexico Area

Soil erosion is a naturally occurring process that involves the detachment, transport, and deposition of soil particles. Disturbances such as thinning and wildfire can reduce cover greatly and increase erosion rates. Forest managers may use erosion prediction tools, such as the Universal Soil Loss Equation (USLE) and Water Erosion Prediction Project (WEPP) to estimate erosion rates and develop techniques to manage erosion. However, it is important to understand the differences and the applications of each model. Erosion rates were generated by each model and the model most applicable to the study site, Los Alamos, New Mexico was determined. It was also used to find the amount of cover needed to stabilize soil. The USLE is a simpler model and less complicated than a computer model like WEPP, and thus easier to manipulate to estimate cover values. Predicted cover values were compared to field cover values. Cover is necessary to establish effective erosion control guidelines.