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Hello!
I am wondering how to measure the error of the emission factor in the LCA software database.
For example, I found the emission factor of cement in a LCA software, but the details indicated that the emission factor did not include the transportation process. So how do I quantify that part of the error into my research?
Best Regards,
Ning Zhang
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In the US, as a general rule Portland cement manufacturing plants tend to be located fairly near the raw material source and so I would agree with Michel Noussan's statement that in most cases the pre-manufacturing transportation of raw materials contribution is very small in comparison to the manufacturing. That said, for a fair comparison to other materials it should be included. The post-manufacturing contribution is another matter. In some cases dry Portland cement is transported ridiculous distances to its point of being mixed. And for fair comparisons, the transportation after being mixed should also be included.
All that said, there will be large variations in the distances transported for various projects. In a given city, the cement used in one project may have been shipped only 100 miles while for another project, the cement used may have been shipped 1000 miles or more. For example, in 2019 the US imported $286 million worth of cement from Turkey. Over $10 billion (US$) in cement is shipped internationally every year.
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Hi Abhijit, I'm trying to aim at Asia like India and China but so far haven't been able to find contacts. I would be more than happy to hear what you have in mind.
Best regards,
Joonas
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Tier 1 method for emission inventory calculates the emission on the basis of amount of fuels burnt by directly calculating the amount of product using stoichiometric equation.
How much sulfur dioxide is produced in Kg's when 1 litre of Diesel is burnt by vehicles?
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Thank you sirs for your reply. The fuel is Euro IV and the sulfur content in 50 ppm, what i need is amount of Sulfur dioxide gas emitted in Kg per Liter unit.
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I run WRF-Chem to simulate PM emission over India and Russia using GOCART aerosol scheme (chem_opt=300). I originally only wanted to simulate dust without chemistry, thus I did not provide emission data using prep_chem_src utility (Freitas et al., 2010). Anyway, the results show not only dust, but also PM2.5, PM10 BC, OC, DMS, etc. How did WRF-Chem simulate these particulates without emission data (anthropogenic, biogenic, gocart bg etc.) from prep_chem_src?
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Thank you, Didier!
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Emission factor development
Vehicles operating at high altitude
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Dear Prof. Dr. Lewis Maccarter
Thank you very much for the information.
Particulate matter measurement (PM2.5), I want to perform in a light diesel vehicle under real traffic conditions.
Thanks for your comments and all your help.
Sincerely,
Luis Tipanluisa
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I want to calculate (or approximate) mass loading by dividing a mass of emissions by a particular area. The units work (as in aerosol mass loading is in g/m2 and so is mass of emissions/area) but i want to confirm whether this is a valid calculation and if not why not. 
Thanks!
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The aerosol field in the atmosphere is a function of three spatial variables (latitude, longitude and hight above the terrain), size of the aerosol particle, and time. This field describes mass of the aerosol particles (with a given radius) per unit volume. The evolution of this field is governed by the advection diffusion equation with terms describing scavenging, nucleation, stochastic coagulation, and chemical reactions. In addition you have to specify the surface and volume emission rates, as well as the boundary conditions. The problem of solving such an equation is not trivial and most often we refer to the numerical methods. Most of practical solutions for the tropospheric applications are obtained within the framework of an air pollution transport models such as WRF/CHEM
(For the simple option of dust particles please see section 4.3.1).
Alternatively you can try to perform some simplified estimates based on the analytical solution of the equations which could be obtained for the idealized meteorological conditions. If you specify more details of your problem I can assist you by providing some practical formula to be used for this purpose.
For the case of the stratospheric aerosol all equations are derived and discussed in the paper High-Resolution Modeling of Size-Resolved Stratospheric Aerosol (J. Atm. Sci., Oct 15, vol. 55, pp. 3127-3147) available at:
The paper is also useful as a general introduction to the problem of aerosol in the atmosphere.
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I am using average-speed emission functions for NOx which are reported in the UK national atmospheric emission inventory. I am using these, alongside traffic flow and speeds data I got from elsewhere, to calculate vehicle emissions across a city and then simulate dispersion.
My understanding is that these functions (in the UK NAEI) are sourced from COPERT 4 (version 10.0).
We would like to better understand the data underlying the functions and as I could not find a clear documentation of that, I am looking for any documentation/experiences that may help answer my queries below:
  • What is the data underlying the curves/functions development? (laboratory measurements, PEMS, remote-sensing, modelled emissions, a mix of what exactly??)
  • How well do the reported curves fit the data? (do you report a measure of goodness of fit or error somewhere)
  • How was the averaging done so as to come up with the data points underlying the curves/functions? (speed and emission rates averaged over a trip? Over a defined time period? Or traveled distance?)
  • Is there a relation between COPERT and the instantaneous emission model PHEM?
I would very much appreciate your help with this.
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Interesting question, been around for 12 days without an adequate response. I really cannot help you either, but you may want to check out a few contacts from this site (link). The developers of the emission database HBEFA checked their model in the context of what has been around at the time. Maybe, they can give you a pointer towards the underlying data/functions. Good luck with your search!
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Can anyone suggest me some articles regarding source apportionment of gaseous compound using EPA PMF 5.00. Moreover, It will be very helpful if someone share his/her experiences and difficulties in working with PMF 5.00 while apportioning sources of gaseous compound.
Thanks in advance. :)
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It is very difficult using JUST those gases. They have many similar sourced and photochemical reactions, I am afraid it cannot be done
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given GT operates at higher temperature than ST. I accept the fact that fuel consumption is low in gas turbine per kWh and therefore air used will be low but is there any other reason..an emission difference of 1/10 th is observed hence the question
(NG - Natural gas, ST- steam turbine, GT-gas turbine)
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Dear Sir,
Nitrogen oxides in combustion are formed by three mechanisms - oxidation of air nitrogen in lean air-fuel mixtures and at high temperatures (known as "thermal" or Zeldovich route); formation of radicals with air nitrogen (e.g. HCN, CN, etc.) in poorly mixed stoichiometric or rich mixtures (known as Fennimore route), which are later oxidized,  and by oxidation of nitrogen, if contained in the respective fuel.
Coal contains nitrogen, which is oxidized and contributes to the first two sources, while nitrogen in NG is usually in very small quantities, if any.  
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Most meteorological models that simulate rain do not take a particulate emission inventory as input, as do chemistry-coupled meteorological models. Is there an improvement of rain prediction in the latter case? If meteorological models do not work with particle emissions injected into the atmosphere, do they assume some particles in atmosphere to predict rain?
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If you are not going to study condensation and rain droplet formation processes in detail  there is no need to know anything about aerosol for calculating rainfall  rates or the amount of precipitation. You simply assume that there always  are enough condensation nuclei present. In fact this is the case. So you only have to calculate the amount of water which has to fall out to reduce the supersaturation during an ascent of an airmass so that a relative humidity of 100 % is not exceeded. Of course you also have to take into account the amount of evaporation of the droplets if they are falling through layers of dry air.
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Most inventory cover only the main emissions and do not provide details. I am considering all emissions. For instance under transportation - CO2, NOx, CO, NMVOCs, HC, PM10, N2O, CH4, SO2 and NH3.
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Please check http://www.eea.europa.eu/themes/air/emep-eea-air-pollutant-emission-inventory-guidebook to find a full set recent air pollutant emission estimation methods and default emission factors for all relevant processes. These methods also follow those of the IPCC 2006 Guidelines for Greenhouse Gases: http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html.
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The accuracy of areas of peat fires are important component will be impact on the result of emission from peat fires. Most of the approaches used in the determination of peatfires areas based on burnt areas that derived from hotspot. The problem, burnt area just represent areas burnt scar in the above ground, we didn't know these of peat fire or no.
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Just using burnt area as measure of peat fire can be underestimation rather. Because, peat fires can be active for long time underneath. Peat fires are difficult to detect directly through remote sensing as there could be forest cover obscuring the direct detection as heat anomaly. The smoke product can be taken as surrogate to peat fire in such cases where direct detection of active fire is not possible. Burnt area can be used in cases where it suits anyway. Regards
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Emission inventories are always associated with uncertainty? I need a software to carry out uncertainty analysis on sets of emission values. @RISK or CrystalBall or any other one will be highly appreciated.
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Giwa, there is a Software called Emisens, it estimates uncertainties from road traffic emissions, please check this PhD thesis: http://infoscience.epfl.ch/record/149809/files/EPFL_TH4793.pdf. You can also contact Professor Alain Clappier, he developed this Software: alain.clappier@live-cnrs.unistra.fr
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Can anyone share the chemical speciation profiles for NMVOC emission (exhaust and evaporation) from cold and hot emissions from each vehicle type (car, van, taxi, pickup, truck, bus, and motorcycle) in different fuel uses (such as gasoline, gasohol, diesel, LPG, CNG)? There many profiles in SPECIATE database. Are there any recommended composite or simplified profiles?
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Copert (see link above) is not the most comprehensive nor the most accurate database, but it is the most well known and accepted. I would suggest to use it.
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e.g. the guides on animal husbandry focus on enteric fermentation but oversight the emissions from livestock buildings where the manure is stored for short periods. In addition, there are emissions from the all contaminated areas inside the barn.
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Dear,
If the case is in transport emissions may help the program: ARTEMIS available on the web.
European Environment Agency, EEA. ARTEMIS-Assessment and Reliability of Transport Emission Models and Inventory Systems. Denmark, 2010.
Regards,
Vanessa
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I need to input the same on GIS platform and have socioeconomic and pollution receptor modelling and analysis.
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Hey Utkarsh,
If I understand you correctly, then here you will find what are you looking for: www.worldpop.org.uk
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I want to estimate dust emission deriving from quarrying, vehicle transit on dirty roads, stockpile operations, etc in a clay-processing industry. Estimated emissions will be used for atmospheric dispersion modelling.
The most used methodology is EPA's AP-42 Fugitive Dust section.
Nevertheless this approach seems very simple. The equations for estimating emissions are based on regression analysis of few measured data from some case studies in the USA, so they are "statistical" models without any mechanistic foundation. It is problematic to apply the same set of equations in other sites with probably different characteristics.
Does anyone know other methodologies/equations for this kind of emission estimation?
At present I must exclude experimental campaign to measure emissions, so I need to refer to the emission factor approach.
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Attached is a bibliography of articles and reports on fugitive dust from different industrial operations.
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I am trying to estimate the amount of CO2 reduced by EVs by comparison of per capita emission by other vehicles that a person will use to commute in the absence of EV. I will be using the conversion value for CO2 emission by combustion of gasoline and diesel given by International Association of Public Transport.
In your view is this the appropriate method?
What other statistical tools or models (if any) I can use for this study ?
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Thank you for your concern Joseph, all the 3-wheelers here run on battery operated engines with the power of 800cc. And they recharge their batteries by electricity from hydropower, so zero emission.