Evaluating the amount of potential greenhouse gas emissions from forest fires in the area of the Slovak Paradise National Park

دراینمقاله،میزانو ارزش انتشارگازهایگلخانه‌ای اکسید‌نیتروس(N2O) و دی‌اکسید‌کربن(CO2)حاصلازتولید حبوبات منتخب ایران (شامل نخود، لوبیا و عدس) با استفاده از مدل GHGE،برایسالزراعی91-90برآورد شده است.نتایج نشان‌داد که استان‌هایفارسوبوشهر، به‌ترتیبباتولیدسالانه271/79 و 004/0 تنN2O، بیشترینوکمترینمیزانتولیدگاز گلخانه‌ایN2Oرا دارامی‌باشند. همچنین استان‌هایلرستانوبوشهر نیز به‌ترتیب باتولیدسالانه83/10327 و33/1‌تنCO2،بیشترینوکمترینمیزانتولیدگاز گلخانه‌ایCO2را به‌خود اختصاص داده‌اند. مجموعهزینه‌هایزیست‌محیطی انتشار گازهای گلخانه‌ای N2O و CO2 کلکشورنیزحدود705/32‌میلیاردریالبرآوردگردید. باتوجهبه یافته‌ها، مدیریت کودهای نیتروژنه مصرفی در مزارعوتوسعهسیاست‌کاهشمیزانانتشاربه‌همراه مالیات زیست‌محیطی انتشار گازهای گلخانه‌ای بر سطوح مختلف تولید پیشنهاد شده ‌است. واژه‌های کلیدی: اکسید‌نیتروس، دی‌اکسید‌کربن، حبوبات، گازهای گلخانه‌ای

The factor required for estimating greenhouse gas emission, i.e. the fossil carbon fraction, excludes the biomass fraction of incinerated waste and can be applied as a major factor in estimating greenhouse gas emissions. In Korea, the amount of greenhouse gases emitted from waste incineration facilities is calculated by using a solid waste incinerated amount default values (biomass fraction, content of dry matter, etc.) provided by the Intergovernmental Panel on Climate Chang (IPCC). However, this method cannot reflect the characteristics of Korea. This method is likely to overestimate or underestimate the amount of greenhouse gas emissions. This study aims to investigate the difference in emissions between the actual values of the biomass content based on the exhaust gas standard and the IPCC defaults applied in the calculation of the national emissions. The comparative result indicates that the amount of greenhouse gas emissions calculated using the solid waste composition method is 70.71 tons CO2/day and using the flue gas analysis is 56.92 tons CO2/day. This verifies that the former method overestimates the amount of greenhouse gas emissions compared with the latter method. The difference is caused by applying both factors in estimating greenhouse gas emissions and the basic values provided in the IPCC guideline. In addition, although the IPCC reported 10% of biomass content, it is 41.06% as a result of actual analysis, and hence, it is considered that there will be a difference depending on the biomass content. Thus, to increase the reliability of the calculated greenhouse gas emissions, these should be estimated by considering national characteristics.

GHG evaluation and mitigation planning for low carbon city case study: Dan Sai Municipality

Better information on greenhouse gas (GHG) emissions and mitigation potential in the agricultural sector is necessary to manage these emissions and identify responses that are consistent with the food security and economic development priorities of countries. Critical activity data (what crops or livestock are managed in what way) are poor or lacking for many agricultural systems, especially in developing countries. In addition, the currently available methods for quantifying emissions and mitigation are often too expensive or complex or not sufficiently user friendly for widespread use.The purpose of this focus issue is to capture the state of the art in quantifying greenhouse gases from agricultural systems, with the goal of better understanding our current capabilities and near-term potential for improvement, with particular attention to quantification issues relevant to smallholders in developing countries. This work is timely in light of international discussions and negotiations around how agriculture should be included in efforts to reduce and adapt to climate change impacts, and considering that significant climate financing to developing countries in post-2012 agreements may be linked to their increased ability to identify and report GHG emissions (Murphy et al 2010, CCAFS 2011, FAO 2011).

Much of the research focuses on quantification of greenhouse gas (GHG) emissions, which enables many sensors’ deployment and related applications to achieve site-specific GHG emissions management. Prior work on quantification of GHG emissions relies on costly and inconvenient to carry on site sensors to measure, which makes labor intensive and difficult to scale up. In this paper, we present a cost-effective, parts per million (PPM) sensing level, light-weight GHG proximity sensing system using a self-made gas sensing film (chemiresistive Strip) and radio array frequency techniques. Our system utilizes the implicit physical knowledge of capturing radar signal variations in amplitude through the adsorption of CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> by ZIF-67, in which the gas concentrations can be identified by these variations, and a smoothing filter is applied to filter out the disturbance in order to enhance the sensing resolution. We evaluated our sensing system and sensing algorithm on the data obtained from lab experiments. Results show that our sensing system achieves reliable sensing resolution from 410 and up to around 1500 PPM level in 50 seconds with fixed gas sensing film. In the future, we would combine other mobile sensing platforms to develop related applications that can be used to quantification of GHG emissions.

China is a large agricultural country, where agricultural activities and rural life cause a large amount of greenhouse gas (GHG) emissions. In the process of crop growth, production, and processing, a large number of crop straws and agricultural wasted products are produced, which become one of the important sources of biomass resources. However, few detailed studies focused on the potential of China's agricultural biomass energy conversion and carbon emission reduction, and fewer studies proposed GHG emission reduction strategies from the perspective of making full use of China's agricultural waste resources. In this study, the quantity calculation index of agricultural biomass energy was given, and the GHG emission reduction potential calculation index of agricultural biomass energy was constructed, with which the amount of GHG emissions caused by agricultural waste use in China was measured and the potential of GHG emission reduction caused by agricultural waste use would be easily speculated. Based on the statistical data of China, the quantity and GHG emission reduction potential of agricultural biomass resources in China in the recent 10 years (2009∼2018) were clarified. According to the research, the amount of agricultural waste equivalent to standard coal in China from 2009 to 2018 reached 280,0711 million tons. If all these resources were used to replace coal, a total of 4,474,483 million tons of carbon dioxide emissions could be saved. Assuming that these wastes are anaerobic, carbonized, or fully burned as fuel, CH4 emissions could be reduced by up to 12.024 million tons and N2O emissions by up to 185,000 tons. It can be seen that the effective utilization of agricultural biomass resources can replace coal, reduce backwardness such as land burning, and then reduce CO2, CH4, N2O, and other greenhouse gas emissions, and promote the realization of carbon peak and carbon neutrality.

Taking sample processes from the combined heat and power plant in Busan Fashion Color Industry Complex, the characteristics and amounts of greenhouse gas (GHGs) emissions were analysed and calculated, respectively. Based on the results, environmental assessment was evaluated for recent 3 years. The amounts of GHG emissions from 2011 to 2013 were estimated at 182,750, 184,384 and 190,250 Ton.CO2eq/year, respectively. GHG emissions from stationary combustion sources were found to be more than 99 % of the total emissions. Also, the overall eco-efficiency indicator for environmental assessment was more than 1, suggesting that these results would be beneficial for GHG emissions allowance allocations.

The goal of this study was to assess the impact of the introduction of various waste management methods on the amount of greenhouse gas emissions from these activities. The assessment was carried out on the example of the Russian waste management sector. For this purpose, three scenarios had been elaborated for the development of the Russian waste management sector: Basic scenario, Reactive scenario and Innovative scenario. For each of the scenarios, the amount of greenhouse gas emissions generated during waste management was calculated. The calculation was based on the 2006 Intergovernmental Panel on Climate Change Guidelines for National Greenhouse Gas Inventories. The results of the greenhouse gas net emissions calculation are as follows: 64 Mt CO2-eq./a for the basic scenario, 12.8 Mt CO2-eq./a for the reactive scenario, and 3.7 Mt CO2-eq./a for the innovative scenario. An assessment was made of the impact of the introduction of various waste treatment technologies on the amounts of greenhouse gas emissions generated in the waste management sector. An important factor influencing the reduction in greenhouse gas emissions from landfills is the recovery and thermal utilization of 60% of the generated landfill gas. The introduction of a separate collection system that allows to separately collect 20% of the total amount of generated municipal solid waste along with twofold increase in the share of incinerated waste leads to a more than threefold reduction in total greenhouse gas emissions from the waste management sector.

According to the IPCC (Intergovernmental Panel on Climate Change) guidelines, when calculating CO2 emissions, CO2 emissions from biomass should be excluded from the total amount of CO2 emissions and should be separately reported due to their “carbon neutrality”. Sewage sludge is one of the representative biomass fuels. It is mixed with fossil fuels to achieve greenhouse gas reduction or is used by itself as a fuel to replace fossil fuels. According to the results of this study, biomass fractions of both the sewage sludge and the sewage sludge incineration exhaust gases did not amount to 100%. At present, in many countries (South Korea, Japan, and Germany), when calculating greenhouse gas emissions from sewage sludge incinerators, all CO2 emissions from sewage sludge are judged to be biomass and only the greenhouse gas emissions that correspond to non-CO2 gases are calculated as greenhouse gas emissions. However, since, according our results, the content of sewage sludge is not 100% biomass, if CO2 emissions are excluded according to the existing greenhouse gas emission calculation method, the amount of emissions may be underestimated. Therefore, to accurately calculate greenhouse gas emissions from a sewage sludge incinerator, CO2 emissions should be calculated in consideration of the fossil carbon fractions of sewage sludge.

A comprehensive mathematical model was developed for this study to estimate on-site and off-site GHG emissions from wastewater treatment plants (WWTPs). The model was applied to three different hybrid WWTPs (S-WWTP, J-WWTP, and T-WWTP) including anaerobic, anoxic, and aerobic process, located in Seoul City, South Korea. Overall on-site and off-site GHG emissions from S-WWTP, J-WWTP, and T-WWTP were <TEX>$305,253kgCO_2e/d$</TEX>, <TEX>$282,682kgCO_2e/d$</TEX>, and <TEX>$117,942kgCO_2e/d$</TEX>, respectively. WWTP treating higher amounts of wastewater produced more on-site and off-site GHG emissions. On average, the percentage contribution of on-site and off-site emissions was 3.03% and 96.97%. The highest amount of on-site GHG emissions was generated from anoxic process and the primary on-site GHG was nitrous oxide (<TEX>$N_2O$</TEX>). Off-site GHG emissions related to electricity consumption for unit operation was much higher than that related to production of chemicals for on-site usage. Recovery and reuse of biogas significantly reduced the total GHG emissions from WWTPs. The results obtained from this study can provide basic knowledge to understand the source and amount of GHG emissions from WWTPs and strategies to establish lower GHG emitting WWTPs.

Katı atıklar ve sera gazı emisyonları birbirlerinden farklı çevre problemi gibi algılanmalarına rağmen birbirlerine oldukça bağımlı bir yapıya sahiptirler. Kentlerde oluşan katı atıkların toplanmasından bertaraf edilmelerine kadar geçen süreçte, atmosfere önemli miktarda sera gazı emisyonu salınmaktadır. Bu oran özellikle bertaraf edilme sürecinde daha da artmaktadır. Vahşi-düzenli depolama, kompostlaştırma, yakma gibi konvansiyonel yöntemler de başlıca sera gazı kaynaklarıdır. Tüm bu işlemler sırasında oluşabilecek emisyon miktarlarının bilinmesi, gerekli önlemlerin alınabilmesi açısından oldukça önemlidir. Dünya genelinde yapılan çalışmalar sonucunda; sera gazı emisyon miktarlarının öngörülebilmesi için birçok matematiksel model geliştirilmiş ve kullanılmıştır. Bu modeller yardımıyla emisyon miktarları tahminleri yapılarak, azaltılma yoluna gidilmesi ya da tamamen yok edilebilmesi amacıyla gerekli çalışmalar yapılabilmektedir. Yapılan bu çalışmada atık yönetiminden kaynaklanan sera gazı emisyonları incelenmiş ve modelleme yöntemleri hakkında bilgiler verilmiş; ileride yapılabilecek olan atık yönetiminden kaynaklı emisyonların modellenmesi konusundaki çalışmalara kaynak olması amaçlanmıştır.

Objective. It is recommended to reduce the greenhouse gases (GHG) for good environment action even when we buy fresh produce. The objective of this research is to calculate the amount of GHG emissions from fresh produce arriving in Nagoya City and also to analyze yearly variation in five years.Results and Discussion. We calculated the amount of GHG emissions about the level of production and transportation for 37 items(fruits, vegetables, meat and seafood) based on the amount of treatment in Nagoya Central Wholesale Market during 2008～2012. As a result, the amount of GHG emissions about the production level of the fruits and vegetables which was cultivated with heat was larger than that of the others and correlative to the amount of treatment. The GHG emissions from transportation process of the items that were transported from a distant place such as the Hokkaido or Tohoku regions were higher than those from the others. The annual amount of GHG emissions varied in response to annual national production or catch, and it was decreased over time for many items.Conclusions. The current work showed the amount of GHG emission of fresh produce in the level of production and transportation was vary greatly by heated cultivation or unheated cultivation and also the distance of transportation. It also showed the amount of GHG emission about many fresh produce is reducing over time.

Climate change is a global phenomenon that affects all continents. Climate change has become the most discussed topic in the last decade, owing to the increasing probability of extreme events occurring. Mitigation of climate change focuses on avoiding and reducing greenhouse gas emissions into the atmosphere. The industrial sector significantly contributes to anthropogenic greenhouse gas (GHG) emissions, which are one of the primary causes of climate change. Calculating a company’s carbon footprint (CF) is an important step toward reducing quantifiable emissions because it indicates the contribution of each activity to GHG emissions. The objectives of this study were to identify the major contributors to organizational GHG emissions and provide possible solutions for emission reduction. This research examines the organizational CF of a logistics company for a year, from April 2020 to March 2021. That global company, which has more than 2,900 employees in 32 countries and provides freighting, warehousing, and other solutions to the community, contributes to GHG emissions through freight transport and office operations. Office operations were considered here, and operational boundaries were established within offices in fourteen countries. GHG Protocol was chosen as the methodology for quantifying the organization’s CF. GHG emitting activities were identified and classified into three categories under the GHG protocol. Secondary data was collected from the company database called Sustainable Management System for the calculation, and invoices and bills were checked to ensure data accuracy. To extract emission factors, publications from the United Kingdom's Department for Environment, Food and Rural Affairs (DEFRA), the Sri Lanka Sustainable Energy Authority website, the Institute of Global Environmental Strategies (IGES) list of grid emission factors, and the World Bank Open Database were consulted. The annual carbon footprint was 3,710 tCO2e. The highest emission value resulted from indirect emissions associated with purchased electricity, which is 2,180 tCO2e and accounts for 58.8% of the company’s annual carbon footprint. The proportions of direct and other indirect emissions were reported to be 14.4%and 26.8%, respectively. Per capita consumption for the company was 2.18 tCO2e. The highest per capita consumption was reported from the stations in Sri Lanka which was 4.57 tCO2e. To reduce greenhouse gas emissions, measures such as implementing solar energy systems and setting emission reduction targets are proposed as the major suggestions. This study is a part of the initiatives undertaken by the company to reduce its GHG emissions.&#x0D; Keywords: Carbon footprint, Climate change, Mitigation, GHG emissions

Greenhouse gas emissions footprint of agricultural production in Guilan province of Iran

Simple SummaryA life cycle assessment (based on ISO 14040 and 14044) considering the climate change (CC) impact category on beekeeping was performed. To this aim, for two consecutive years, data from beekeeping farms were collected, including data on annual honey production, other hive products, geographical locations of the apiaries, the processing infrastructure, technologies used, and the fuel and energy consumption. The overall LCA result was estimated at 1.44 kg CO2e/kg honey, with transport and supplement feeding as main contributors to greenhouse gas (GHG) emissions. Migratory beekeeping systems were found to be more impactful than nonmigratory ones. Results of a climate index indicated that the scarcity of rainfall seems to negatively affect the honey yield, as well as increase the provision of supplemental feeding and the amount of GHG emissions. Despite the study limitations, the results obtained provide interesting insight to improve the sustainability of beekeeping practices in light of the EU Green Deal and Farm to Fork strategies.The objective of this study was to quantify the climate change (CC) impact of the honey supply chain in different beekeeping systems and farms, over two consecutive years. The CC impact category is quantified as kg CO2 equivalent and it evaluates the GHG emissions, mainly CO2, N2O, and CH4. The results ranged from 0.44 to 3.18 (p = 0.039) kg CO2e/kg honey with higher values in 2021 than 2020. The main contributors to climate change of the honey supply chain are represented by transport and supplemental feeding inputs. The beekeeping system (migratory or stationary) influenced CC: the contribution to CC for stationary farms was estimated at 0.58 kg CO2e/kg honey and 2.48 for migratory ones (p < 0.001). Given the close connection between honey yield and LCA results due to the unit of measurement of impact, i.e., kg of honey produced, an index was developed (wildflower honey climate index) as a simple benchmark tool for prediction of honey yield in the survey context. Using the data from the present study, we found that the index is positively related to honey yield (r = 0.504; p < 0.05) but negatively related to supplemental feeding (r = −0.918; p < 0.01) and overall carbon footprint (r = −0.657; p < 0.05). Further studies are needed to better explain the effects of weather on honey production, as well as environmental impact.