scholarly journals Evaporation process dominates vehicular NMVOC emissions in China with enlarged contribution from 1990 to 2016

2021 ◽  
Author(s):  
Liu Yan ◽  
Bo Zheng ◽  
Guannan Geng ◽  
Chaopeng Hong ◽  
Dan Tong ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Comprehensive Evaluation ◽  
Emission Factors ◽  
Mitigation Strategies ◽  
Anthropogenic Sources ◽  
Ozone Formation Potential ◽  
Meteorological Influences ◽  
Major Chemical ◽  
Meteorological Impact ◽  
Chemical Groups

Abstract Non-methane volatile organic compounds (NMVOC) are important precursors of ozone and secondary organic aerosols in PM2.5 (particulate matter with aerodynamic diameters smaller than 2.5 μm), both of which cause severe climate, ecosystem, and human health damages. As one of the major anthropogenic sources, onroad vehicles are subject to relatively large errors and uncertainties in the estimation of NMVOC emissions due to complicated methods and parameters involved and a lack of comprehensive evaluation of influencing factors. Here, based on our previous work with necessary improvement, we estimate China’s vehicular NMVOC emissions by county and by month during 1990-2016 with a consideration of meteorological influence on the spatial-temporal dynamics of emission factors. Our estimate suggests that vehicular NMVOC emissions in China have peaked around 2008 and then declined up to 2016 with an enlarged contribution of the evaporative process to vehicular NMVOC emissions. Vehicular NMVOC emissions have been dominated by the evaporative process at present. Meteorological factors alter spatial-temporal distributions of NMVOC emissions, especially evaporative emissions, which are enhanced in South China and in summer. Emissions and ozone formation potential (OFP) of the major chemical groups (i.e., Alkenes, Aromatics, and Alkanes) also increase substantially due to meteorological influences. Our analysis suggests that mitigation strategies for vehicle pollutions should be designed based on a sophisticated emission inventory accounting for the meteorological impact on emission factors to correct the potential underestimation of NMVOC emissions, especially those from the evaporative process.

scholarly journals Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2455
Author(s):  
Antonín Lupíšek ◽  
Tomáš Trubačík ◽  
Petr Holub
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Climate Change Mitigation ◽  
Emission Factors ◽  
Anthropogenic Sources ◽  
Building Stock ◽  
National Debate ◽  
Energy Consumptions ◽  
Change Mitigation

One of the major anthropogenic sources of greenhouse gases is the operation of building stock. Improving its energy efficiency has the potential to significantly contribute to achieving climate change mitigation targets. The purpose of this study was to roughly estimate such potential for the operation of the national building stock of Czechia to steer the national debate on the development of related national plans. The estimation is based on a simplified energy model of the Czech building stock that consists of sub-models of residential and nonresidential building stocks, for which their future energy consumptions, shares of energy carriers and sources, and emission factors were modeled in four scenarios. Uncertainties from the approximation of the emission factors were investigated in a sensitivity analysis. The results showed that the operation of the Czech building stock in 2016 totaled 36.9 Mt CO2, which represented 34.6% of the total national carbon dioxide emissions. The four building stock scenarios could produce reductions in the carbon dioxide emissions of between 28% and 93% by 2050, when also considering on-side production from photovoltaics. The implementation of the most ambitious scenario would represent a drop in national CO2 yearly emissions by 43.2% by 2050 (compared to 2016).

Spatial-Temporal Dynamics of Disease Burden Attributable to Pm2.5 Exposure in China From 2000 to 2016

2021 ◽  
Author(s):  
Ting Cao
Keyword(s):  
Policy Making ◽  
Disease Burden ◽  
Temporal Dynamics ◽  
Comprehensive Evaluation ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Northwest China ◽  
Economic Losses ◽  
Air Pollution Control ◽  
Chinese Yuan

Abstract In recent years, long-term exposure to ambient fine particulate matter (PM2.5) has slowly increased both morbidity and mortality for Chinese people, becoming a leading problem for public health efforts. However, spatial-temporal dynamics of disease burden attributable to PM2.5 exposure still lacks a comprehensive evaluation so as to provide inadequate supports for policy making and improvement. Here, we used the exposure-response function to derive the spatial-temporal dynamics of disease burden attributable to PM2.5 pollution in China. We found the fact that economic loss attributable to PM2.5 increased by 93% from 35 billion Chinese Yuan (95% CI: 14-52) to 536 billion Chinese Yuan (95%CI: 236-753) during the period of 16 years. Digging further, we discovered a substantiate level of regional differences, with the disease burden being the most severe in East China and the least severe in the Northwest China. Other than that, there existed a spatial aggregation of health-related economic losses among Chinese cities. Our paper made an evaluation on the spatial-temporal dynamics of health effects attributed to PM2.5, an evaluation that could provide more insights to future policy making of the air pollution control for China and other developing countries.

Groundwater phosphorus concentrations: global trends and links with agricultural and oil and gas activities

2021 ◽  
Author(s):  
Jessica Warrack ◽  
Mary Kang ◽  
Christian von Sperber
Keyword(s):  
Oil And Gas ◽  
Comprehensive Evaluation ◽  
Significant Risk ◽  
Surface Water Quality ◽  
The United States ◽  
Global Scale ◽  
Anthropogenic Sources ◽  
High Concentration ◽  
Oil And Gas Development ◽  
Global Trends

<p>Although observations show that anthropogenic phosphorus (P) can reach groundwater supplies, there has been no comprehensive evaluation of P in groundwater at the global scale. Additionally, there have been minimal studies on distributed sources, such as agriculture, and the effects of oil and gas activities on P contamination in groundwater are poorly understood. We compile and analyze 181,653 groundwater P concentrations from 13 government agencies and 8 individual research studies in 11 different countries in order to determine the extent of P pollution at the global scale. We find that every country with data has groundwater P concentrations that pose a significant risk of eutrophication to surface waters. In Canada and the United States, we study the relationship between land use, focusing on crop/pastureland, and increased P concentrations in groundwater. In Ontario and Alberta, two Canadian provinces with different histories of oil and gas development, we find areas with a high concentration of P groundwater pollution to coincide with regions of intense oil and gas activity. Understanding the effects of anthropogenic sources on phosphorus contamination of groundwater and identifying all possible pathways through which contamination can occur will assist regulators in planning and implementing effective strategies to manage groundwater and surface water quality and sustain ecosystem health.</p>

A Study on Methane Emissions and Its Mitigation Strategies in Present Scenario

2016 ◽  
Vol 8 (02) ◽  
pp. 87-92 ◽  
Author(s):  
Virendra Kumar ◽  
Swati SachdevSanjeev Kumar ◽  
Sanjeev Kumar
Keyword(s):  
Carbon Dioxide ◽  
Organic Matter ◽  
Global Warming ◽  
Methane Emission ◽  
Energy Production ◽  
Fossil Fuels ◽  
Mitigation Strategies ◽  
Anthropogenic Sources ◽  
Negative Effects ◽  
Methane Generation

Methane is an important gas of earth's environment. It emits from various naturally as well as anthropogenic sources and responsible for maintaining earth's global temperature favorable for humans and other organisms to live. In recent years many activities of human development led to generation of a large volume of methane which has exhibited catastrophic effect on humans as well as animal lives on earth. Methane poses high global warming potential and has been found second most abounded gas in the environment responsible for global warming of earth after carbon dioxide which is well documented in gigantic body of literature. Methane emission is projected to reach 254 Gg/ year by the year 2025. The sources of methane generation are scattered in nature that includes marshes, paddy crops, landfills and natural anaerobic decomposition of the organic matter present in the environment and digestion in ruminants as well handling and use of fossil fuels. The versatile sources of methane generation are uncontrolled and tough to be tamed. However, its emissions and negative effects could be reduced by effectively and efficiently managing its sources of emission and utilizing generated volume for energy production. This study emphasize on the harmful as well as beneficial aspects of the methane, its utilization and strategies to control emission from various sources.

Methane, nitrous oxide and ammonia emissions from pigs housed on litter and from stockpiling of spent litter

2016 ◽  
Vol 56 (9) ◽  
pp. 1390 ◽  
Author(s):  
F. A. Phillips ◽  
S. G. Wiedemann ◽  
T. A. Naylor ◽  
E. J. McGahan ◽  
B. R. Warren ◽  
...  
Keyword(s):  
Nitrous Oxide ◽  
Emission Factors ◽  
Mitigation Strategies ◽  
Effluent Treatment ◽  
Nitrous Oxide Emissions ◽  
Infrared Spectrometry ◽  
Target Area ◽  
Ammonia Emissions ◽  
South Wales ◽  
Volatile Solids

Mitigation of agricultural greenhouse gas emissions is a target area for the Australian Government and the pork industry. The present study measured methane (CH4), nitrous oxide (N2O) and ammonia (NH3) from a deep-litter piggery and litter stockpile over two trials in southern New South Wales, to compare emissions from housing pigs on deep litter with those of pigs from conventional housing with uncovered anaerobic effluent-treatment ponds. Emissions were measured using open-path Fourier transform infrared spectrometry, in conjunction with a backward Lagrangian stochastic model. Manure excretion was determined by mass balance and emission factors (EFs) were developed to report emissions relative to volatile solids and nitrogen (N) input. Nitrous oxide emissions per animal unit (1 AU = 500 kg liveweight) from deep-litter sheds were negligible in winter, and 8.4 g/AU.day in summer. Ammonia emissions were 39.1 in winter and 52.2 g/AU.day in summer, while CH4 emissions were 16.1 and 21.6 g/AU.day in winter and summer respectively. Emission factors averaged from summer and winter emissions showed a CH4 conversion factor of 3.6%, an NH3-N EF of 10% and a N2O-N EF of 0.01 kg N2O-N/kg N excreted. For the litter stockpile, the simple average of summer and winter showed an EF for NH3-N of 14%, and a N2O-N EF of 0.02 kg N2O-N/kg-N of spent litter added to the stockpile. We observed a 66% and 80% decrease in emissions from the manure excreted in litter-based housing with litter stockpiling or without litter stockpiling, compared with conventional housing with an uncovered anaerobic effluent-treatment pond. This provides a sound basis for mitigation strategies that utilise litter-based housing as an alternative to conventional housing with uncovered anaerobic effluent-treatment ponds.

scholarly journals Particle and VOC emission factor measurements for anthropogenic sources in West Africa

2018 ◽  
Vol 18 (10) ◽  
pp. 7691-7708 ◽  
Author(s):  
Sekou Keita ◽  
Cathy Liousse ◽  
Véronique Yoboué ◽  
Pamela Dominutti ◽  
Benjamin Guinot ◽  
...  
Keyword(s):  
West Africa ◽  
Emission Factor ◽  
Gravimetric Method ◽  
Emission Factors ◽  
Anthropogenic Sources ◽  
Thermal Methods ◽  
Particulate Emission ◽  
Voc Emission ◽  
Tropical Hardwood ◽  
Wheeled Vehicles

Abstract. A number of campaigns have been carried out to establish the emission factors of pollutants from fuel combustion in West Africa, as part of work package 2 (“Air Pollution and Health”) of the DACCIWA (Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa) FP7 program. Emission sources considered here include wood (hevea and iroko) and charcoal burning, charcoal making, open trash burning, and vehicle emissions, including trucks, cars, buses and two-wheeled vehicles. Emission factors of total particulate matter (TPM), elemental carbon (EC), primary organic carbon (OC) and volatile organic compounds (VOCs) have been established. In addition, emission factor measurements were performed in combustion chambers in order to reproduce field burning conditions for a tropical hardwood (hevea), and obtain particulate emission factors by size (PM0.25, PM1, PM2.5 and PM10). Particle samples were collected on quartz fiber filters and analyzed using gravimetric method for TPM and thermal methods for EC and OC. The emission factors of 58 VOC species were determined using offline sampling on a sorbent tube. Emission factor results for two species of tropical hardwood burning of EC, OC and TPM are 0.98 ± 0.46 g kg−1 of fuel burned (g kg−1), 11.05 ± 4.55 and 41.12 ± 24.62 g kg−1, respectively. For traffic sources, the highest emission factors among particulate species are found for the two-wheeled vehicles with two-stroke engines (2.74 g kg−1 fuel for EC, 65.11 g kg−1 fuel for OC and 496 g kg−1 fuel for TPM). The largest VOC emissions are observed for two-stroke two-wheeled vehicles, which are up to 3 times higher than emissions from light-duty and heavy-duty vehicles. Isoprene and monoterpenes, which are usually associated with biogenic emissions, are present in almost all anthropogenic sources investigated during this work and could be as significant as aromatic emissions in wood burning (1 g kg−1 fuel). EC is primarily emitted in the ultrafine fraction, with 77 % of the total mass being emitted as particles smaller than 0.25 µm. The particles and VOC emission factors obtained in this study are generally higher than those in the literature whose values are discussed in this paper. This study underlines the important role of in situ measurements in deriving realistic and representative emission factors.

scholarly journals Comparison and evaluation of anthropogenic emissions of SO<sub>2</sub> and NO<sub><i>x</i></sub> over China

2018 ◽  
Vol 18 (5) ◽  
pp. 3433-3456 ◽  
Author(s):  
Meng Li ◽  
Zbigniew Klimont ◽  
Qiang Zhang ◽  
Randall V. Martin ◽  
Bo Zheng ◽  
...  
Keyword(s):  
Power Plants ◽  
Comprehensive Evaluation ◽  
National Level ◽  
Model Performance ◽  
Chemical Transport ◽  
Emission Factors ◽  
Emission Inventories ◽  
Ozone Monitoring Instrument ◽  
Top Down ◽  
Bottom Up

Abstract. Bottom-up emission inventories provide primary understanding of sources of air pollution and essential input of chemical transport models. Focusing on SO2 and NOx, we conducted a comprehensive evaluation of two widely used anthropogenic emission inventories over China, ECLIPSE and MIX, to explore the potential sources of uncertainties and find clues to improve emission inventories. We first compared the activity rates and emission factors used in two inventories and investigated the reasons of differences and the impacts on emission estimates. We found that SO2 emission estimates are consistent between two inventories (with 1 % differences), while NOx emissions in ECLIPSE's estimates are 16 % lower than those of MIX. The FGD (flue-gas desulfurization) device penetration rate and removal efficiency, LNB (low-NOx burner) application rate and abatement efficiency in power plants, emission factors of industrial boilers and various vehicle types, and vehicle fleet need further verification. Diesel consumptions are quite uncertain in current inventories. Discrepancies at the sectorial and provincial levels are much higher than those of the national total. We then examined the impacts of different inventories on model performance by using the nested GEOS-Chem model. We finally derived top-down emissions by using the retrieved columns from the Ozone Monitoring Instrument (OMI) compared with the bottom-up estimates. High correlations were observed for SO2 between model results and OMI columns. For NOx, negative biases in bottom-up gridded emission inventories (−21 % for MIX, −39 % for ECLIPSE) were found compared to the satellite-based emissions. The emission trends from 2005 to 2010 estimated by two inventories were both consistent with satellite observations. The inventories appear to be fit for evaluation of the policies at an aggregated or national level; more work is needed in specific areas in order to improve the accuracy and robustness of outcomes at finer spatial and also technological levels. To our knowledge, this is the first work in which source comparisons detailed to technology-level parameters are made along with the remote sensing retrievals and chemical transport modeling. Through the comparison between bottom-up emission inventories and evaluation with top-down information, we identified potential directions for further improvement in inventory development.

scholarly journals Excitation Emission Matrix Fluorescence Spectroscopy for Combustion Generated Particulate Matter Source Identification

2019 ◽  
Author(s):  
Jay Rutherford ◽  
Neal Dawson-Elli ◽  
Anne M. Manicone ◽  
Gregory V. Korshin ◽  
Igor V. Novosselov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Particulate Matter ◽  
Fluorescence Spectroscopy ◽  
Source Identification ◽  
Mitigation Strategies ◽  
Training Data ◽  
Anthropogenic Sources ◽  
Excitation Emission Matrix ◽  
Field Samples ◽  
Eem Fluorescence

The inhalation of particulate matter (PM) is a significant health risk associated with reduced life expectancy due to increased cardio-pulmonary disease and exacerbation of respiratory diseases such as asthma and pneumonia. PM originates from natural and anthropogenic sources including combustion engines, cigarettes, agricultural burning, and forest fires. Identifying the source of PM can inform effective mitigation strategies and policies, but this is difficult to do using current techniques. Here we present a method for identifying PM source using excitation emission matrix (EEM) fluorescence spectroscopy and a machine learning algorithm. We collected combustion generated PM2.5 from wood burning, diesel exhaust, and cigarettes using filters. Filters were weighted to determine mass concentration followed by extraction into cyclohexane and analysis by EEM fluorescence spectroscopy. Spectra obtained from each source were used as machine learning training data for source identification in mixed samples. This method can predict the presence or absence of the three laboratory sources with an overall accuracy of 89% when the threshold for classifying a source as present is 1.1 µg/m3 in air over a 24-hour sampling time. We apply this method to a small set of field samples to evaluate its effectiveness.<br>

scholarly journals Inter- and intra-domain functional redundancy in the rumen microbiome during plant biomass degradation

2018 ◽  
Author(s):  
Andrea Söllinger ◽  
Alexander Tøsdal Tveit ◽  
Morten Poulsen ◽  
Samantha Joan Noel ◽  
Mia Bengtsson ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Plant Biomass ◽  
Expression Profiles ◽  
Functional Redundancy ◽  
Mitigation Strategies ◽  
Biomass Degradation ◽  
Strong Response ◽  
Plant Biomass Degradation ◽  
Rumen Microbiome ◽  
Domain Functional

AbstractBackgroundRuminant livestock is a major source of the potent greenhouse gas methane (CH4), produced by the complex rumen microbiome. Using an integrated approach, combining quantitative metatranscriptomics with gas- and volatile fatty acid (VFA) profiling, we gained fundamental insights into temporal dynamics of the cow rumen microbiome during feed degradation.ResultsThe microbiome composition was highly individual and remarkably stable within each cow, despite similar gas emission and VFA profiles between cows. Gene expression profiles revealed a fast microbial growth response to feeding, reflected by drastic increases in microbial biomass, CH4emissions and VFA concentrations. Microbiome individuality was accompanied by high inter- and intra-domain functional redundancy among pro- and eukaryotic microbiome members in the key steps of anaerobic feed degradation. Methyl-reducing but not CO2-reducing methanogens were correlated with increased CH4emissions during plant biomass degradation.ConclusionsThe major response of the rumen microbiome to feed intake was a general growth of the whole community. The high functional redundancy of the cow-individual microbiomes was possibly linked to the robust performance of the anaerobic degradation process. Furthermore, the strong response of methylotrophic methanogens is suggesting that they might play a more important role in ruminant CH4emissions than previously assumed, making them potential targets for CH4mitigation strategies.

Greenhouse gas emissions from livestock production: modelling methods, methane emission factors and mitigation strategies

2021 ◽  
pp. 25-54
Author(s):  
Donal O’Brien ◽  
◽  
Laurence Shalloo ◽  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Greenhouse Gas ◽  
Methane Emission ◽  
Livestock Production ◽  
Emission Factors ◽  
Mitigation Strategies ◽  
Gas Emissions ◽  
Modelling Methods ◽  
Production Modelling

This chapter discusses the systems analysis and life cycle assessment modelling approaches and also looks at a range of model applications. These applications include use within the national inventories of various countries across species including discussions around the use of different emission factors. The chapter concludes with applications to quantify emissions at the farm level and a discussion around some of the mitigation strategies that have been modelled previously.

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