Relevant bibliographies by topics / Greenhouse gas emissions

Academic literature on the topic 'Greenhouse gas emissions'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Greenhouse gas emissions"

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Exnerová, Z., and E. Cienciala. "Greenhouse gas inventory of agriculture in the Czech Republic." Plant, Soil and Environment 55, No. 8 (September 9, 2009): 311–19. http://dx.doi.org/10.17221/2528-pse.

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As a part of its obligations under the Climate Convention, the Czech Republic must annually estimate and report its anthropogenic emissions of greenhouse gases. This also applies for the sector of agriculture, which is one of the greatest producers of methane and nitrous oxide emissions. This paper presents the approaches applied to estimate emissions in agricultural sector during the period 1990–2006. It describes the origin and sources of emissions, applied methodology, parameters and emission estimates for the sector of agriculture in the country. The total greenhouse gas emissions reached 7644 Gg CO<sub>2</sub> eq. in 2006. About 59% (4479 Gg CO<sub>2</sub> eq.) of these emissions has originated from agricultural soils. This quantity ranks agriculture as the third largest sector in the Czech Republic representing 5.3% of the total greenhouse gas emissions (GHG). The emissions under the Czech conditions consist mainly of emissions from enteric fermentation, manure management and agricultural soils. During the period 1990–2006, GHG emissions from agriculture decreased by 50%, which was linked to reduced cattle population and amount of applied fertilizers. The study concludes that the GHG emissions in the sector of agriculture remain significant and their proper assessment is required for sound climate change adaptation and mitigation policies.
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Chen, Xiao, Tao Tao, Jiaxin Zhou, Helong Yu, Hongliang Guo, and Hongbing Chen. "Simulation and Prediction of Greenhouse Gas Emissions from Beef Cattle." Sustainability 15, no. 15 (August 4, 2023): 11994. http://dx.doi.org/10.3390/su151511994.

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Greenhouse gas emission is a key issue in the sustainable development of agriculture. To effectively predict the greenhouse gas emissions of beef cattle, a model is proposed based on system dynamics and greenhouse gas emission calculation methods, and a scenario is set as a ‘Straw to Beef’ project in Jilin Province. The model was built on a baseline emission scenario (feed precision: 60%, breeding environment: dry fattening farm, corn straw utilization: burning straw), with single- and comprehensive emission reduction scenarios considered, predicting trends and reduction potentials in greenhouse gas emissions from cattle breeding and straw burning in Jilin Province from 2013 to 2028, measured in CO2-eq (CO2 equivalent). The model also explored the impact of 11 controllable variables on greenhouse gas emissions. Results showed that (1) From 2013 to 2022, greenhouse gas emissions from straw burning and cattle breeding in Jilin Province increased significantly and had an annual growth rate of 6.51% in 2020. (2) Single emission reduction scenarios showed an increasing trend in greenhouse gas emissions, while comprehensive emission reduction scenarios showed a decreasing trend. Among them, the S2.2.1 scenario (feed precision: 80%, breeding environment: livestock barn manure pit, corn straw utilization: burning straw) had the strongest emission reduction ability in the single reduction scenario, the S3.2.2 scenario (feed precision: 80%, breeding environment: livestock barn manure pit, corn straw utilization: Feed-processing straw) had the strongest emission reduction ability in the comprehensive reduction scenario, reducing emissions by 5.10% and 69.24%, respectively, compared to the baseline scenario. This suggests that the comprehensive emission reduction scenarios which utilized straw resources reasonably can greatly reduce agricultural greenhouse gas emissions. (3) The optimal emission reduction scenario indicated that the higher the proportion of digestible energy in beef cattle’s total energy intake, the more perfect the fecal treatment process, and the higher the utilization rate of straw feed, the lower the greenhouse gas emissions. Therefore, to effectively reduce greenhouse gas emissions from cattle breeding and straw burning in Jilin Province, it is important to implement comprehensive emission reduction scenarios prioritizing the efficient utilization of straw resources and improving beef cattle management practices.
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Zhang, Xia, Bingchun Liu, and Ningbo Zhang. "Forecasting the Mitigation Potential of Greenhouse Gas Emissions in Shenzhen through Municipal Solid Waste Treatment: A Combined Weight Forecasting Model." Atmosphere 15, no. 4 (April 20, 2024): 507. http://dx.doi.org/10.3390/atmos15040507.

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As a significant source of anthropogenic greenhouse gas emissions, the municipal solid waste sector’s greenhouse gas emission mode remains unknown, hampering effective decision-making on possible greenhouse gas emission reductions. Rapid urbanization and economic growth have resulted in massive volumes of municipal solid trash. As a result, identifying emission reduction routes for municipal solid waste treatment is critical. In this research, we investigate the potential of municipal solid waste treatment methods in lowering greenhouse gas (GHG) emissions in Shenzhen, a typical Chinese major city. The results showed that the combined treatment of 58% incineration, 2% landfill, and 40% anaerobic digestion (AD) had the lowest greenhouse gas emissions of about 5.91 million tons under all scenarios. The implementation of waste sorting and anaerobic digestion treatment of organic municipal solid waste after separate collection can reduce greenhouse gas emissions by simply increasing the incineration ratio.
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Liu, Leilei, Xu Guo, Jian Ding, and Hongliang Wang. "Methodological Study on Voluntary Greenhouse Gases Reduction for Shore Power System." E3S Web of Conferences 118 (2019): 02006. http://dx.doi.org/10.1051/e3sconf/201911802006.

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Voluntary emission reduction of greenhouse gases is conducive to reducing carbon dioxide (CO2) emissions and fostering a carbon trading market. Voluntary greenhouse gas emission reduction methodologies can be used to determine project baselines, demonstrate additionality, calculate emission reductions, and develop monitoring plans. Marine fossil fuel combustion is an important source of greenhouse gas emissions in port. Through the implementation of marine shore power system, it is possible to replace fuel consumption with electricity and significantly reduce greenhouse gas emissions during berthing. Through the analysis and study on shore power system, the methodology of voluntary greenhouse gas emission reduction for shore power system is formed, which is conducive to promoting the participation in carbon emissions trading and promoting the promotion and use of shore power system.
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Budihardjo, Mochamad Arief, Isaaf Fadhilah, Natasya Ghinna Humaira, Mochtar Hadiwidodo, Irawan Wisnu Wardhana, and Bimastyaji Surya Ramadan. "Forecasting Greenhouse Gas Emissions from Heavy Vehicles: A Case study of Semarang City." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 18, no. 2 (July 29, 2021): 254–60. http://dx.doi.org/10.14710/presipitasi.v18i2.254-260.

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In Indonesia, transportation sector, specifically road transport consumed most energy compared to other sectors. Eventually, the energy consumption will increase due to the growth of vehicle number that also escalate emission. Vehicle emissions had been recognized as a significant contributor to atmospheric greenhouse gas (GHG) pollution. Heavy-duty vehicles are considered as main sources of vehicular emissions in most cities. Therefore, it is crucial to take into account heavy-duty vehicle emission projections in order to support policymakers to identify vehicle emissions and develop pollution control strategies. The aim of this study is to forecast heavy-duty vehicle population, vehicle kilometers travelled (VKT), fuel consumption, and heavy-duty vehicle emissions using data of Semarang City to illustrate greenhouse gas emission of big cities in Indonesia. Business as Usual (BAU) and The Intergovernmental Panel on Climate Change (IPCC) method were incorporated to determine vehicle emission projection. Heavy-duty vehicle emissions increase from 2021 to 2030 by 12.317 to 22.865 Gg CO2/year with amount trucks and buses emissions of 21.981,5 Gg CO2/year and 884,2 Gg CO2/year, respectively.
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H0GUE, CHERYL. "GREENHOUSE GAS EMISSIONS CURBS." Chemical & Engineering News Archive 81, no. 2 (January 6, 2003): 5. http://dx.doi.org/10.1021/cen-v081n002.p005.

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Showstack, Randy. "Greenhouse gas emissions tool." Eos, Transactions American Geophysical Union 93, no. 4 (January 24, 2012): 44. http://dx.doi.org/10.1029/2012eo040005.

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Nakićenović, Nebojša. "Greenhouse Gas Emissions Scenarios." Technological Forecasting and Social Change 65, no. 2 (October 2000): 149–66. http://dx.doi.org/10.1016/s0040-1625(00)00094-9.

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HILEMAN, ΒΕTTΕ. "GREENHOUSE GAS EMISSIONS PLAN." Chemical & Engineering News Archive 81, no. 7 (February 17, 2003): 16. http://dx.doi.org/10.1021/cen-v081n007.p016.

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Hobley, Anthony. "Greenhouse Gas Emissions Trading." Journal of Energy & Natural Resources Law 19, no. 3 (August 2001): 270–77. http://dx.doi.org/10.1080/02646811.2001.11433235.

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Dissertations / Theses on the topic "Greenhouse gas emissions"

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Olesniewicz, Timothy J. "Unanticipated Consequences of Regional Greenhouse Gas Policies: Criteria Emissions and the Regional Greenhouse Gas Initiave." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/OlesniewiczTJ2008.pdf.

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Gibson, Amber I. "Mitigation options for greenhouse gas emissions from agriculture." Thesis, Imperial College London, 2002. http://hdl.handle.net/10044/1/8592.

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Gupta, Manish. "Restricting greenhouse gas emissions : economic implications for India /." New Delhi : Serials Publ, 2006. http://www.gbv.de/dms/zbw/522298486.pdf.

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Edwards, Kerri. "Greenhouse gas emissions from drip irrigated tomato fields." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123327.

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Irrigation practices change the soil moisture in agricultural fields, and in turn influence the emissions of greenhouse gases. A two year field study was conducted to assess the emissions of CO2, CH4 and N2O from surface drip and subsurface drip irrigated tomato fields in Southwestern Ontario, Canada. Gas fluxes were obtained through the static chamber method, taking samples every 15 minutes over a one hour time period. Soil moisture and soil temperature were measured once per chamber per hour and used to help explain the gas emissions. A peak mean N2O flux at 405 µg N2O-N m-2 h-1 was observed from the five chambers in the surface drip irrigation treatment on July 8th, 2013, shortly following a rainfall event. Most N2O fluxes which occurred during the irrigated portion of the growing season were around 50 µg N2O-N m-2 h-1 in both treatments, water added here was less than some of the large rainfall where peaks occurred. Both the lowest CO2 mean treatment fluxes (12 mg CO2-C m-2 h-1) and highest (12 mg CO2-C m-2 h-1) were observed in the surface drip irrigation plots. Seasonal emissions of CO2 were significantly greater in surface drip plots than subsurface drip plots in 2013, but not in 2012, and this is likely attributed to soil temperature differences. Methane ¬fluxes were mainly negative, indicating that the soil is a sink, as opposed to a source for this gas. Generally, there was no significant difference in soil moisture between the types of drip system. Consequently, there were only a few days which showed significant differences between subsurface drip irrigation and surface drip irrigation treatments for the hourly collected gas fluxes throughout the two growing seasons. Overall, the use of subsurface drip irrigation or surface drip irrigation does not affect the emissions of greenhouse gases from the tomato fields in this study.
Les techniques d'irrigation affectent l'humidité du sol dans les terres agricoles, ce qui affecte les émissions de gaz à effets de serre. Une étude sur le terrain d'une durée de deux ans a été menée dans le sud-ouest de l'Ontario au Canada afin de déterminer les émissions de CO2, CH4 et N2O de champs de tomates irrigués au goutte-à-goutte de surface et au goutte-à-goutte souterrain. Les flux de gaz ont été obtenus en prenant des échantillons à chaque 15 minute pour une durée d'une heure, en utilisant la méthode de chambre statique. L'humidité et la température des sols ont été mesurés et utilisés afin d'expliquer les émissions de gaz. La moyenne de flux de N2O a atteint un sommet de 405µg N2O-N m-2 h-1 dans le cas de l'irrigation au goutte-à-goutte de surface, peu de temps après un épisode de pluie. La majorité des flux de N2O qui se sont produits pendant le moment de la saison utilisant de l'irrigation était d'environ 50 µg N2O-N m-2 h-1 dans les deux traitements. La plus faible (12mg CO2-C m-2 h-1) et la plus haute (123mg CO2-C m-2 h-1) moyenne des flux des traitements ont toutes les deux été observées dans les champs irrigués au goutte-à-goutte de surface. Les flux de CH4 étaient principalement négatifs ce qui indiquent que les sols sont des puits, plutôt qu'une source de ce gaz. Une différence significative entre les flux des traitements a été démontrée seulement pour un nombre limité de jour parce que l'humidité des sols créée par les deux systèmes d'irrigation de goutte-à-goutte était similaire. Les émissions saisonnières de CO2 étaient significativement plus hautes dans le cas des champs irrigués au goutte-à-goutte de surface que les champs irrigués au goutte-à-goutte souterrain en 2013, mais pas en 2012, ce qui est probablement dû aux différences dans les températures des sols. Globalement, l'utilisation de l'irrigation au goutte-à-goutte de surface ou de l'irrigation au goutte-à-goutte souterraine n'a pas d'effet majeur sur les émissions de gaz des sols dans les champs de tomates.
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Hua, Shan. "Financial market evaluation of firms' greenhouse gas emissions." Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/10522.

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Climate change has been influenced more by human activities now than previously. These influences are largely attributed to industries, whose activities can potentially produce enormous amounts of carbon dioxide and other greenhouse gases, and exacerbate the speed of climate change. This thesis examines how the financial markets evaluate corporations’ greenhouse gas emission performance. We consider various emission criteria, and distinguish between the better and worse performers in different emission policy regimes, including the US, the UK and the rest of the EU. The investigations have been conducted at three stages, presented in chapter 3, 4 and 5. Firstly, in chapter 3 we examine the carbon effects at the portfolio-level, where total return indices are our main concern. By adopting the long-short strategy, we report that investors in the UK and EU markets, can make an arbitrage profit at the lower cut-off levels, when applying various carbon screening policies and forming equally-weighted portfolios. However, no such profit opportunities can be achieved in the US market. We further consider the reason for such arbitrage opportunities, which is the link between corporate governance/management efficiency and different levels of carbon constraint. Secondly, in chapter 4, the carbon effects are investigated at firm-level, where firms’ financial market values act as the dependent variable. Our regression models are based on the Ohlson framework, which considers firms’ financial market value in relation to its accounting performance, and the ‘other information’, which in our case is the carbon emission performance. We find a significant relationship between the US firms’ values and their carbon emission performances; however, this relationship has been weakened for UK companies, and in fact becomes even unreliable for EU companies. Further, in order to explore the reason for this relationship, we have focused on energy efficiency and firms’ reputation that are associated with carbon reduction activities. The scale effects have also been discussed in this chapter, as the various deflators are adopted. Finally, in chapter 5, again at firm-level, cash flow expectation and cost of capital have been considered to possibly be the source that drives firms’ value. Cash flow expectation is measured at the short-, medium- and long- term, by profitability, earnings growth, and residual income growth rate, respectively. Two portfolios for each target parameters are constructed according to different carbon screening criteria at different cut-off levels, the differences between each pair of portfolios are then calculated and tested for significance. A sub-sample regression, which is based on the observations available from analysts’ earnings forecast, has been conducted for each of the three regimes. After matching the portfolio and regression results, we report that the implied cost of equity is only reduced for the less carbon emission firms, in regimes where more stringent carbon constraints are applied; whereas in regimes where less stringent carbon constraints exist, the less carbon emission firms have not gained any advantage through their implied cost of equity. Also, cash flow expectations indicate diverse outcomes for different time horizon and regimes. Furthermore, various market participants, such as governments, investors, distributors and clients etc, who could possibly influence firms’ carbon behaviour, have also been considered in association with their roles in reducing greenhouse gas emissions. Our work contributes to the existing literature through a wide ranging examination of major financial evaluation methods relating to emerging carbon emission issues.
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Ricci, Patricia. "Greenhouse gas emissions from contrasting beef production systems." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9370.

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Agriculture has been reported to contribute a significant amount of greenhouse gases to the atmosphere among other anthropogenic activities. With still more than 870 million people in the world suffering from under-nutrition and a growing global food demand, it is relevant to study ways for mitigating the environmental impact of food production. The objective of this work was to identify gaps in the knowledge regarding the main factors affecting greenhouse gas (GHG) emissions from beef farming systems, to reduce the uncertainty on carbon footprint predictions, and to study the relative importance of mitigation options at the system level. A lack of information in the literature was identified regarding the quantification of the relevant animal characteristics of extensive beef systems that can impact on methane (CH4) outputs. In a meta-analysis study, it was observed that the combination of physiological stage and type of diet improved the accuracy of CH4 emission rate predictions. Furthermore, when applied to a system analysis, improved equations to predict CH4 from ruminants under different physiological stages and diet types reduced the uncertainty of whole-farm enteric CH4 predictions by up to 7% over a year. In a modelling study, it was demonstrated that variations in grazing behaviour and grazing choice have a potentially large impact upon CH4 emissions, which are not normally mentioned within carbon budget calculations at either local or national scale. Methane estimations were highly sensitive to changes in quality of the diet, highlighting the importance of considering animal selectivity on carbon budgets of heterogeneous grasslands. Part of the difficulties on collecting reliable information from grazing cattle is due to some limitations of available techniques to perform CH4 emission measurements. Thus, the potential use of a Laser Methane Detector (LMD) for remote sensing of CH4 emissions from ruminants was evaluated. A data analysis method was developed for the LMD outputs. The use of a novel technique to assess CH4 production from ruminants showed very good correlations with independent measurements in respiration chambers. Moreover, the use of this highly sensitive technique demonstrates that there is more variability associated with the pattern of CH4 emissions which cannot be explained by the feed nutritional value. Lastly, previous findings were included in a deterministic model to simulate alternative management options applied to upland beef farming systems. The success of the suggested management technologies to mitigate GHG emissions depends on the characteristics of the farms and management previously adopted. Systems with high proportion of their land unsuitable for cropping but with an efficient use of land had low and more certain GHG emissions, high human-edible returns, and small opportunities to further reduce their carbon footprint per unit of product without affecting food production, potential biodiversity conservation and the livelihood of the region. Altogether, this work helps to reduce the uncertainty of GHG predictions from beef farming systems and highlights the essential role of studies with a holistic approach to issues related to climate change that encompass the analysis of a large range of situations and management alternatives.
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Brown, Gareth D. "Assessing the greenhouse gas emissions of transport biofuels." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9823.

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Many fuel cycle greenhouse gas (GHG) emissions assessments of varying scope, detail and methodology have been carried out for various biofuels in recent years, and these have largely concluded that biofuels provide GHG reduction benefits as substitutes for fossil fuels. As more attention is focused on biofuels, however, doubts have been raised about the reliability of previous GHG assessments of these fuels. From a scientific perspective, three main observations give reason to doubt these assessments: 1. There are widely varying results for what appear to be identical fuels. 2. The assessment methodologies involve inherently subjective elements. 3. There is still significant scientific uncertainty in characterisations of important processes that need to be accounted for in most GHG assessments of biofuels. For accurate determination of the GHG emissions impacts of biofuels, there is a need for further development of standardised, demonstrably reliable assessment methods. This research investigates methods used for assessing net GHG emissions from biofuels. It identifies remaining methodological deficiencies that prevent the generation of definitive results. A methodological framework is developed for optimising the reliability of biofuel GHG assessments within the limits of currently available knowledge and methods, and the most important developments required for extending those limits are identified. A new calculation tool and database are developed to facilitate the carrying out of biofuel GHG assessments with optimal reliability. It is concluded that uncertainties associated with existing GHG assessments can significantly limit our ability to draw firm conclusions from comparisons of GHG impacts among biofuels and between biofuels and fossil fuels. Reliable GHG assessments of biofuels require very precise specifications of the systems being described, with clear definitions of the limitations of applicability of the assessment results, explanations of the methodological choices adopted and their implications, and acknowledgement of the limits set by all relevant scientific uncertainty.
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Anderson, Linse N. "A greenhouse gas emissions inventory and emissions offset strategies for the University of Wyoming." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1663116701&sid=2&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Thesis (M.A.)--University of Wyoming, 2008.
Title from PDF title page (viewed on August 4, 2009). Interdisciplinary thesis in International Studies and Environment and Natural Resources. Includes bibliographical references (p. 58-63).
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Baiardi, Martina. "Reduction of greenhouse gas emissions in the pharmaceutical industry." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This paper is focused on the greenhouse gas emissions in the pharmaceutical sector. The case study reported is that of Chiesi Farmaceutici S.p.A., a pharmaceutical company based in Parma. Sustainability has always been a primary concern in the way Chiesi operates. Fully aware of the climate emergency that the planet Earth is tackling, Chiesi has set itself a challenge and announces its commitment to becoming carbon neutral by the end 2035, reducing its greenhouse gas emissions and offsetting emissions that are no further reducible to achieve a net zero carbon footprint. There are several existing initiatives to achieve the Carbon Neutrality. The most important initiatives are the transition to a new propellant, that has a much smaller GWP than that of the actual propellant, and the installation of an abatement system to lower the emissions during the manufacturing phase of spray products. These initiatives are used to present reduction targets to the Science Based Target initiative. Science-based targets provide a clearly defined pathway for companies to reduce greenhouse gas (GHG) emissions, helping prevent the worst impacts of climate change and future-proof business growth. Targets are considered ‘science-based’ if they are in line with what the latest climate science deems necessary to meet the goals of the Paris Agreement, limiting global warming to well-below 2°C above pre-industrial levels and pursuing efforts to limit warming to 1.5°C. Chiesi is investing a lot of time and money to set its reduction targets in line with the Paris Agreement, but the present study demonstrates that the there are several important benefits. This is a clear evidence that suggests that financial and environmental performances are far from being exclusive and this is the road to follow both for the public and the private sectors.
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Pilkington, Olivia Louise. "Feasibility of mitigating greenhouse gas emissions from rice fields." Tallahassee, Fla. : Florida State University, 2010. http://purl.fcla.edu/fsu/lib/digcoll/undergraduate/honors-theses/2181946.

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Thesis (Honors paper)--Florida State University, 2010.
Advisor: Dr. Tarek Abichou, Florida State University, College of Engineering, Dept. of Civil/Environmental Engineering. Includes bibliographical references.
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Books on the topic "Greenhouse gas emissions"

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See, Michael. Greenhouse Gas Emissions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56908-1.

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Shurpali, Narasinha, Avinash Kumar Agarwal, and VK Srivastava, eds. Greenhouse Gas Emissions. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3272-2.

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United States. Congressional Budget Office, ed. Reducing greenhouse gas emissions. Hauppauge, N.Y: Nova Science Publishers, 2010.

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India. Ministry of Environment and Forests, ed. India, greenhouse gas emissions 2007. New Delhi: Ministry of Environment and Forests, Govt. of India, 2010.

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Saxena, Anil Kumar. Greenhouse gas emissions: Estimation and reduction. Tokyo: Asian Productivity Organization, 2009.

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(Canada), Federal/Provincial/Territorial Task Force on Energy and the Environment. Report on reducing greenhouse gas emissions. [S.l: The Task Force], 1989.

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Tremblay, Alain, Louis Varfalvy, Charlotte Roehm, and Michelle Garneau, eds. Greenhouse Gas Emissions — Fluxes and Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-26643-3.

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Tremblay, ALain, Louis Varfalvy, Charlotte Roehm, and Michelle Garneau, eds. Greenhouse Gas Emissions — Fluxes and Processes. Berlin/Heidelberg: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137840.

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Organisation for Economic Co-operation and Development., ed. Greenhouse gas emissions: The energy dimension. Paris, France: OECD, 1991.

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Venezuela. Ministerio del Ambiente y de los Recursos Naturales Renovables. and Venezuela. Ministerio de Energía y Minas., eds. Inventory of greenhouse gas emissions: Venezuela. [Venezuela]: Government of Venezuela, 1996.

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Book chapters on the topic "Greenhouse gas emissions"

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See, Michael. "Emissions Trading." In Greenhouse Gas Emissions, 181–236. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56908-1_9.

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Abberton, Michael T. "Greenhouse Gas Emissions." In Genomics and Breeding for Climate-Resilient Crops, 457–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37048-9_13.

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Ravindranath, N. H., and Jayant A. Sathaye. "Greenhouse Gas Emissions." In Advances in Global Change Research, 11–36. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/0-306-47980-x_2.

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Kostyuchenko, Nadiya, and Denys Smolennikov. "Greenhouse Gas Emissions." In Encyclopedia of the UN Sustainable Development Goals, 1–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-71062-4_65-1.

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Kostyuchenko, Nadiya, and Denys Smolennikov. "Greenhouse Gas Emissions." In Encyclopedia of the UN Sustainable Development Goals, 324–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95726-5_65.

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Patterson, William R. "Greenhouse Gas Emissions." In The Palgrave Encyclopedia of Global Security Studies, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-74336-3_412-1.

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Pahuja, Shuchi. "Greenhouse Gas Emissions." In Encyclopedia of Sustainable Management, 1814–18. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25984-5_563.

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Pahuja, Shuchi. "Greenhouse Gas Emissions." In Encyclopedia of Sustainable Management, 1–6. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-02006-4_563-1.

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Patterson, William R. "Greenhouse Gas Emissions." In The Palgrave Encyclopedia of Global Security Studies, 685–91. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-74319-6_412.

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See, Michael. "Introduction." In Greenhouse Gas Emissions, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56908-1_1.

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Conference papers on the topic "Greenhouse gas emissions"

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Groß, Britta. "Greenhouse Gas Emissions of Universities: Chances and Challenges on the Way to Greenhouse Gas Neutrality." In 8th FEB International Scientific Conference. University of Maribor Press, 2024. http://dx.doi.org/10.18690/um.epf.5.2024.10.

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Universities contribute to the goal of climate neutrality with their research, but also emit greenhouse gas (GHG) emissions by means of their operations. The aim of this paper is to assess the GHG emissions of a university as an institution, identify the main sources of emissions and analyse chances and challenges on the way to become a climate neutral university. The analysis is based on the GHG balance of Esslingen University developed according to the standards of the GHG protocol. While many academic institutions in Europe issue climate reports, they often do not or only partly include scope 3 emissions and therefore underestimate the emissions. With its broad accounting approach, this paper extends the knowledge about the emission sources of a university, but also shows the limitations of areas such as procurement, which lack data for an exact quantification of the emissions. Three main sources of emissions can be identified: commuting, procurement and buildings (electricity and heating). The main obstacles to implement the changes on part of the university are budget limitations, limited influence on the part of the university as well as staff shortages.
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Dawn M Sedorovich, C Alan Rotz, and Tom L Richard. "Greenhouse Gas Emissions from Dairy Farms." In 2007 Minneapolis, Minnesota, June 17-20, 2007. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23112.

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Schievelbein, Vernon, and Arthur Lee. "Global Greenhouse Gas Emissions Inventory Methodology." In SPE/EPA Exploration and Production Environmental Conference. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/52672-ms.

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Zaharia, Alina. "AGRICULTURE, GREENHOUSE GAS EMISSIONS AND CLIMATE CHANGE." In 14th SGEM GeoConference on ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b53/s21.003.

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Robinson, M. A. "Yacht Greenhouse Gas Emissions: Eu Policy Developments." In Design and Construction of Super and Mega Yachts 2013. RINA, 2013. http://dx.doi.org/10.3940/rina.smy.2013.21.

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Saur, Konrad, Kevin Brady, and Andrea J. Russell. "Greenhouse Gas Emissions: A Systems Analysis Approach." In SAE 2001 World Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2001. http://dx.doi.org/10.4271/2001-01-1080.

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"Greenhouse Gas Emissions from Drip Irrigated Fields." In 2014 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, 2014. http://dx.doi.org/10.13031/aim.20141899456.

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Augusto Pinto Rodrigues, Joaquim, Luiz Biondi Neto, Pedro Henrique Gouvêa Coelho, and João Carlos Correia Baptista Soares de Mello. "ESTIMATING GREENHOUSE GAS EMISSIONS USING COMPUTATIONAL INTELLIGENCE." In 11th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2009. http://dx.doi.org/10.5220/0002014402480250.

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Leyris, Juliette, Bjørn Ove Jansen, Odd-Arne Follum, and Unni Musdalslien. "Greenhouse Gas Emissions Along the Norwegian Gas Value Chain." In SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/190587-ms.

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Siltumens, Kristaps, Inga Grinfelde, Juris Burlakovs, Sindija Liepa, and Linda Grinberga. "Impacts of biocover composition on greenhouse gas emission." In Research for Rural Development 2023 : annual 29th international scientific conference proceedings. Latvia University of Life Sciences and Technologies, 2023. http://dx.doi.org/10.22616/rrd.29.2023.033.

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It is generally estimated that gas, which generates more than half of the greenhouse gas (GHG) emission from waste industries in landfills, is seen as a serious environmental problem worldwide. It is therefore essential to promote management methods to reduce GHG emissions from landfills as well as other sources. One way of achieving this is the usage of different types of biocover applied to them. The aim of this study is to clarify the impact of the biocover created on GHG emissions. An experiment was conducted in laboratory conditions that studied the effectiveness of biocover developed in the laboratory. Three experimental columns with a diameter of 160 mm and a height of 1500 mm were created. Active compost saturated with water at a thickness of 500 mm was used as a source of methane, a permeable layer of sand at a thickness of 300 mm was further formed and finally covered with biocover. Biocover represented 60% of fine-fraction waste, 20% of soil and 20% of compost. The experiment was launched on June 6, 2022, and the first measurements were made two weeks later. All measurements were performed with the CRDS gas measurement device Picarro G2508 (Picarro Inc., USA California). All data analysis was carried out using Descriptive statistics methods. The largest reduction in emissions is projected directly for methane emissions, as biocover technology is appropriate to reduce methane emissions. Other GHG emissions are also expected to be reduced. NH3 emission measurements were also carried out to investigate the impact of the biocover on it. This experiment shows that the biocover created is effective and can be composed of material that has already been served. The experiment is intended to continue to obtain long-term data on the development of biotransformation and to develop more promising approaches in the future to reduce GHG emissions from landfills.
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Reports on the topic "Greenhouse gas emissions"

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Breisinger, Milena, and Emmanuel Boulet. Greenhouse Gas Assessment Emissions Methodology. Inter-American Development Bank, August 2012. http://dx.doi.org/10.18235/0009045.

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This document provides the methodology prepared and used by IDB to assess the impact of its direct investments loans on greenhouse gas (GHG) emissions since 2009. The document provides the methodology behind a series of tools developed to assess GHG emissions for IDB operations in key sectors.
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McGrath, Panek, and McCarthy. L52356 Nomenclature for Natural Gas Transmission and Storage Greenhouse Gas Emissions. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2012. http://dx.doi.org/10.55274/r0010015.

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A compilation of harmonized terminology and standardized nomenclature for natural gas transmission and storage (T and S) equipment and operations associated with greenhouse gas (GHG) emission sources and emission estimates. Criteria for natural gas industry (per segments in 40 CFR 98) for GHG inventories are also addressed. This living document is intended to be a detailed reference for practitioners and managers developing GHG inventories. The document's primary purpose is to support T and S facilities GHG emissions reporting for 40 CFR 98 Mandatory Greenhouse Gas Reporting�; however, information is also provided to support the development of GHG emission inventories for other purposes. Standardized nomenclature used in the estimation and reporting of greenhouse gas emissions and provide a single living document to be used as a reference to enhance consistency within the natural gas industry. This document may also serve to form a more accurate basis for consistent reporting of emission sources through an enhanced common understanding of industry and regulatory terminology, synonyms and sector boundaries. Consistent terminology will promote higher fidelity emission inventories and focus subsequent EPA control strategies and requirements.
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Punning, J. M., M. Ilomets, A. Karindi, M. Mandre, V. Reisner, A. Martins, A. Pesur, H. Roostalu, and H. Tullus. Estonian greenhouse gas emissions inventory report. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/362596.

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Kostalova, M., J. Suk, and S. Kolar. Reducing greenhouse gas emissions in Czechoslovakia. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10140597.

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Kostalova, M., J. Suk, and S. Kolar. Reducing greenhouse gas emissions in Czechoslovakia. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/5641778.

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Ruether, J. A. FETC Programs for Reducing Greenhouse Gas Emissions. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/600529.

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Graham, R. L., R. D. Perlack, A. M. G. Prasad, J. W. Ranney, and D. B. Waddle. Greenhouse gas emissions in Sub-Saharan Africa. Office of Scientific and Technical Information (OSTI), November 1990. http://dx.doi.org/10.2172/6288175.

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Nin-Pratt, Alejandro, Malcolm C. M. Beveridge, Timothy B. Sulser, Nisha Marwaha, Michele Stanley, Robert Grisenthwaite, and Michael J. Phillips. Cattle, seaweed, and global greenhouse gas emissions. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.135065.

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Josling, Tim, Gerard P. Alleng, Carmine Paolo De Salvo, Rachel Boyce, Anaitée Mills, and Sara Valero. Agricultural Policy and Greenhouse Gas Emissions in Jamaica. Inter-American Development Bank, May 2017. http://dx.doi.org/10.18235/0000691.

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Pena, Federico. Technology Opportunities to Reduce U.S. Greenhouse Gas Emissions. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/1114054.

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