scholarly journals Factors influencing pollutant gas emissions of VOC recuperative incinerators—Large-scale parametric study

2006 ◽  
Vol 26 (14-15) ◽  
pp. 1640-1651 ◽  
Author(s):  
S. Salvador ◽  
Y. Kara ◽  
J.-M. Commandré
Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Lili Yang ◽  
Tong Heng ◽  
Guang Yang ◽  
Xinchen Gu ◽  
Jiaxin Wang ◽  
...  

The factors influencing the effective utilization coefficient of irrigation water are not understood well. It is usually considered that this coefficient is lower in areas with large-scale irrigation. With this background, we analyzed the effective utilization coefficient of irrigation water using the analytic hierarchy process using data from 2014 to 2019 in Shihezi City, Xinjiang. The weights of the influencing factors on the effective utilization coefficient of irrigation water in different irrigation areas were analyzed. Predictions of the coefficient’s values for different years were made by understanding the trends based on the grey model. The results show that the scale of the irrigation area is not the only factor determining the effective utilization coefficient of irrigation water. Irrigation technology, organizational integrity, crop types, water price management, local economic level, and channel seepage prevention are the most critical factors affecting the effective use of irrigation water. The grey model prediction results show that the effective utilization coefficient of farmland irrigation water will continuously increase and reach 0.7204 in 2029. This research can serve as a reference for government authorities to make scientific decisions on water-saving projects in irrigation districts in terms of management, operation, and investment.


Author(s):  
Natasha Doyle ◽  
◽  
Philiswa Mbandlwa ◽  
Sinead Leahy ◽  
Graeme Attwood ◽  
...  

This chapter aims to outline the strategy of using feed supplements for the reduction of greenhouse gas emissions (GHG) in ruminants, including methane (CH4), carbon dioxide and nitrous oxide, given that feed intake is an important variable in predicting these emissions. Focus will be given to direct-fed microbials, a term reserved for live microbes which can be supplemented to feed to elicit a beneficial response. The viability of such methods will also be analysed for their use in large scale on-farm operations.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rebecca Ramsing ◽  
Brent Kim ◽  
Roni Neff

Abstract Objectives To understand potential climate implications of dietary patterns associated with commercial weight loss diets, we tested the hypothesis that different consumption patterns of six commercial weight loss diets would shift United States greenhouse gas emissions (GHGE) if followed on a large scale. Methods An estimated 50–70% of adults are interested in controlling their weight with diets, many advocating lower carbohydrate, higher fat and higher animal protein intake. While considerable research exists on the environmental and greenhouse gas emissions (GHGE) implications of dietary patterns, no identified work has focused similarly on weight loss diets. Atkins, Biggest Loser, DASH, Weight Watchers, Keto and Whole30 diets were selected for this study based on consumer visibility, market share, and documented efficacy. Official 1-week sample plans were collected to create representative samples of each diet and converted to unprocessed primary equivalents. Cradle-to-farm gate GHGEs for individual food items were adapted from FAO's Global Livestock Environmental Assessment Model and 732 data points from 115 life cycle assessment studies. Results Estimated GHGEs varied significantly across the diet meal plans. Whole30 and showed the highest GHGEs per capita, while Keto, Biggest Loser and Atkins were lower but over twice that of DASH and Weight Watchers, which had the lowest. The largest single category value for each diet was bovine meat, suggesting that lowering recommendations for consumption of bovine meat could significantly decrease the GHGEs of each diet. Conclusions Our results provide a better understanding of potential costs and benefits associated with dietary recommendations for weight loss, critical to identifying impactful opportunities to shift dietary patterns toward public health and ecological goals, particularly reducing meat and increasing consumption of vegetables and pulses. Funding Sources Support provided by the Johns Hopkins Center for a Livable Future (CLF) with a gift from the GRACE Communications Foundation.


Author(s):  
Zhangqi Zhong ◽  
Xu Zhang ◽  
Weina Gao

Global climate change caused by greenhouse gas emissions (GHGs) from anthropogenic activities have already become the focus of the world. A more systematic and comprehensive analysis on the factors influencing the changes of global GHGs transferring via trade have not been fully discussed. To this end, employing spatial econometric regression models and multi-regional input-output models, this paper reveals factors influencing the GHGs transferring via trade changes in 39 major economies, so as to develop the relevant GHGs reduction policies. The results indicate that regions with the highest net outflow of GHGs transferring via trade are primarily Russia and Canada, and the adverse effects of promoting GHGs reduction on the national economy could be avoided by these regions owing to trade relations. Additionally, factors influencing the changes in GHGs transferring via trade have significant spatial autocorrelation, and population size and energy structure exert significant spatial spillover effects on the changes in the GHGs transferring via trade. On this basis, this paper suggests that one more effective way to prevent trade from the rigorous demands of environmental governance measures while preserving the economic benefits of international trade may be to facilitate cooperation between countries on GHGs mitigation. Further, we articulate more balanced environment governance policies, including conducting the sharing of advanced energy technologies and developing clearer production technologies.


2009 ◽  
Vol 34 (9) ◽  
pp. 4216-4226 ◽  
Author(s):  
J.E. O'Brien ◽  
M.G. McKellar ◽  
C.M. Stoots ◽  
J.S. Herring ◽  
G.L. Hawkes

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