Most public discussion of climate change has focused on long-term considerations, such as raised temperatures and sea level, extremes of weather, alterations in the ecology of infectious diseases, or radical changes in land use (1, 2). However, the same actions that can reduce the long-term buildup of greenhouse gases (GHG)--reductions in burning of fossil fuels--can also yield powerful, immedi...

Mexico has set a desirable 50% reduction goal of Greenhouse Gas emissions by 2050, compared to the 2000 baseline. In this regard, all the activity sectors, including universities and research institutions, are encouraged to adopt similar targets. As a contribution to the national efforts on the subject, this paper presents the 2010 Greenhouse Gas emission inventory of the Institute of Engineeri...

Greenhouse gas emission trading programs have been initiated in the European Union, Canada and the United States in an effort to harness market forces to efficiently reduce greenhouse gas emissions. Three major methods for reducing or offsetting greenhouse gas emissions are purchasing greenhouse gas emission reduction credits, purchasing renewable energy certificates, and improving energy effic...

The prospect of state government driven carbon emission reduction targets brings with it the prospect of local target setting. Such targets will need to be based on good quality estimates of energy demand and greenhouse gas emissions along with viable assumptions about reduction potential at the local level. So there is a growing requirement for good quality emissions data at the level of local...

B. Meda, C. R. Flechard, K. Germain, P. Robin, M. Hassouna, and C. Walter INRA, UMR1069 Sol Agro et hydrosystème Spatialisation, 35000 Rennes, France Agrocampus Ouest, UMR1069 Sol Agro et hydrosystème Spatialisation, 35000 Rennes, France INRA, UR83 Unité de Recherches Avicoles, 37380 Nouzilly, France INRA, UE1206 Elevage Alternatif et Santé des Monogastriques, 17700 Surgères, France Université ...

This work proposes a Neuro-Fuzzy Intelligent System – ANFIS (Adaptive Network based Fuzzy Inference System) for the annual forecast of greenhouse gases emissions (GHG) into the atmosphere. The purpose of this work is to apply a Neuro-Fuzzy System for annual GHG forecasting based on existing emissions data including the last 37 years in Brazil. Such emissions concern tCO2 (tons of carbon dioxide...

Personal greenhouse gas calculators (PGGC) are important tools to raise awareness of the impact of personal behaviour on carbon dioxide emissions. Per capita, Australians are the highest emitters of greenhouse gases in the world and the task for them to reduce emissions to sustainable levels will be particularly challenging. This paper reviews six PGGC promoted in Australia and evaluates them f...

Besides its great potential in controlling water pollution from different sources, waste water treatment system generates significant amount of greenhouse gases. Hence, reducing the emission of greenhouse gases from the wastewater treatment plants is the major concern. The correct understanding and estimation of the greenhouse gases emitted from different points of the plan is essential to tack...

Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclose...

This project serves as a study comparing greenhouse gas (GHG) emissions between universities in Texas. Over 90 percent of climate scientists believe that increased climate change is due to anthropogenic causes. These anthropogenic causes result in the GHG that we emit in our day-to-day activities. Our study quantifies the GHG data from our university, St. Edward’s University in Austin, and comp...