Emissions estimate from forest fires: methodology, software and European case studies



Similar documents
Revealing the costs of air pollution from industrial facilities in Europe a summary for policymakers

Costs of air pollution from European industrial facilities an updated assessment

RESIDENTIAL AND COMMERCIAL/INSTITUTIONAL NATURAL GAS AND LIQUEFIED PETROLEUM GAS (LPG) COMBUSTION

Oil and Gas Air Quality Regulations and Permitting

What are the causes of air Pollution

2) Relevance for environmental policy ) Data sources and reporting ) References at the international level... 6

EMISSIONS OF AIR POLLUTANTS IN THE UK, 1970 TO 2014

Emission Inventory in Medellín (Colombia) city. An Approximation *

Birmingham City University / Students Union Aspects and Impacts Register. Waste. Impacts description

ISBN

Ambient Air Monitoring at Deployment Locations in the Middle East

Jytte Boll Illerup Morten Winther Erik Lyck Henrik Gundorph Bruun Department of Policy Analysis

Holcim EMR List of EN Standards and VDI Guidelines usable for Discontinuous Measurements in Cement Plants

ATMOSPHERIC EMISSIONS FROM GAS FIRED HOME HEATING APPLIANCES

Clean Up Your Fleet. Introducing a practical approach to cleaner, more efficient fleet operation

Air Quality Appraisal Damage Cost Methodology

SNAP CODE: SOURCE ACTIVITY TITLE: Flaring in Gas and Oil Extraction NOSE CODE:

NFR: 2.D.3.c Asphalt roofing SNAP: Asphalt roofing materials ISIC: Version Guidebook 2013

Balancing chemical reaction equations (stoichiometry)

Emission Facts. The amount of pollution that a vehicle emits and the rate at which

3.0 THE 2002 BASE-YEAR INVENTORY. 3.1 Background and requirements

Impacts of air pollution on human health, ecosystems and cultural heritage

UK Air Quality Monitoring Networks

Physical flow accounts: principles and general concepts

Estimated emissions and CO2 savings deriving from adoption of in-place recycling techniques for road pavements

4. The role of fleets and fleet managers Role of REC?

The laboratory fulfils the requirements for periodic emission measurement according to ČSN P CEN/TS 15675:2009

Air Pollution. Copenhagen, 3 rd September Valentin Foltescu Project manager air quality European Environment Agency

Wolverine Clean Energy Venture

Air quality in Europe 2015 report

4. The role of fleets and fleet managers

AIR QUALITY MANAGEMENT IN ITALY: PAST, PRESENT AND FUTURE CHALLENGES

The design of the Romanian national air quality monitoring network

ATTAINMENT PROJECTIONS

THE BASICS Q: What is VOC? Q: What are flashing losses/voc emissions from hydrocarbon storage tanks? - 1 -

AP ENVIRONMENTAL SCIENCE 2012 SCORING GUIDELINES

SIX REASONS TO DRY BIOGAS To A LOW DEWPOINT BEFORE COMBUSTION IN A CHP ENGINE STEVEN SCOTT MARKET DEVELOPMENT MANAGER ALTERNATIVE ENERGIES

Lecture 35: Atmosphere in Furnaces

State of the Art (SOTA) Manual for Boilers and Process Heaters

DEVELOPMENT OF A TRACEABILITY PROCEDURE FOR BIOMASS ENERGY CHAIN

National Environment Protection (Ambient Air Quality) Measure

Thermal & Biogas Production In Egypt. By Prof. Dr. Ahmed Abd El-Ati Ahmed Egypt - GBEP Focal Point

Smoke Management Plan

Pollution by 2-Stroke Engines

Air Quality in San Diego 2013 Annual Report

Sludge Treatment Facility Stack Gas Monitoring Report February 2016

ENVIRONMENTAL STANDARDS FOR PETROLEUM OIL REFINERIES EMISSIONS. Standards for emissions from furnaces, boilers and Power Plant

A Green Idea. Reclaiming Urban Wood Waste And Urban Forest Debris. For Fuel/Combustion & Renewable Energy

BP Texas City Refinery

Source: EIA Natural Gas Issues and Trends 1998

Automotive Air Quality Sensors: industrial innovations to protect people s health

Assignment 8: Comparison of gasification, pyrolysis and combustion

AP ENVIRONMENTAL SCIENCE 2007 SCORING GUIDELINES

TR SUPPLEMENTARY REQUIREMENTS FOR THE ACCREDITATION OF CONTINUOUS AMBIENT AIR QUALITY MONITORING STATIONS

Population Density, Traffic Density and Nitrogen Oxides (NOx) Emission Air Pollution Density in Major Metropolitan Areas of the United States

Calculate Available Heat for Natural Gas Fuel For Industrial Heating Equipment and Boilers

Assessment of Air Emissions Martin Marietta Materials Facilities on Highway 34, Weld County, Colorado Project No.:

Emission report Honda accord/cu1

Potential to Emit A Guide for Small Businesses

Inventory of LCPs in Turkey LCP Database introductory presentation

Oxygen Give and Take. Correlation to National Science Education Standards

Air Permitting in Colorado. Martha Hyder Wind River Environmental Group LLC September 2013

RESOURCE EFFICIENCY SCOREBOARD DATA CENTRE ON NATURAL RESOURCES

Coal-To-Gas & Coal-To-Liquids

POTENTIAL TO EMIT SUMMARY FIBERIGHT, LLC HAMPDEN, MAINE

Examination syllabuses for Manual Stack emissions monitoring. Environment Agency Version 9 January 2015

Scope 1 describes direct greenhouse gas emissions from sources that are owned by or under the direct control of the reporting entity;

A STUDY OF ENVIRONMENTAL BENEFITS OF INDUSTRIAL INTEGRATION

measured (empirical) data from CCC. The modelled values are of value for all (ecosystem specific modelling work deposition)

Modeling Transportation-Related Emissions Using GIS

The Ambient Air Monitoring System

DRAFT White Paper Asphalt (non-permitted) Strategy Evaluation Portland Air Toxics Solutions

1-Some related indicators: Total land area is 1 million Km 2. Only 3% of the land area is arable. The rest 97% is hyper arid desert. The whole lands a

Harvesting energy with fertilizers

TABLET DETERGENTS Towards A More Sustainable Future

COMMONWEALTH OF MASSACHUSETTS DEPARTMENT OF ENVIRONMENTAL PROTECTION 310 CMR 7.00 AIR POLLUTION CONTROL REGULATIONS

A GUIDANCE NOTE ON THE BEST PRACTICABLE MEANS FOR ELECTRICITY WORKS BPM 7/1 (2014)

POINT SOURCES OF POLLUTION: LOCAL EFFECTS AND IT S CONTROL Vol. I - Air Pollution Caused by Industries - Jiming HAO and Guowen LI

Data and Trends. Environmental protection and Safety

WHY IS BREATHING SO IMPORTANT?

Site Identification No.: AAO Application No.:

Environmental Life Cycle Assessment Framework for Sukker Production (Raw Sugar Production)

Transcription:

Emissions estimate from forest fires: methodology, software and European case studies Carlo Trozzi, Rita Vaccaro, Enzo Piscitello Techne srl, Via Nicola Zabaglia, 3 I00153 Roma, Italy techneit@techneit.com ABSTRACT In the paper first a complete methodology for the estimate of air pollutant emissions from forest fire will be presented. Next a specific model and a computer code for the estimate of emissions will be introduced. Finally a lot of case studies will be discussed. The methodology for estimate emissions from forest fires was developed on the basis of the information from EMEP/CORINAIR Task Force on Emission Inventories and, for Particulate Matter with diameter inferior to 10 microns, United States Environmental Protection Agency. The model, Air Fire, allows the estimate of the emissions produced by forest fires. The model is developed in Windows environment with object-oriented Visual Basic language and is available with an ACCESS database. A lot of case studies will be presented. The model has been used at a national level (for the realization of a national emissions inventory) and at regional level (in the frame of emissions inventories and air quality management plans). At national level in Italy forest fires can contribute up to 4.5% of Carbon Monoxide and up to 1% of Nitrogen Oxides and Carbon Dioxide emissions while, at regional level, forest fires can be up to 5% of Carbon Monoxide and up to 8% of Particulate Matter with diameter inferior to 10 microns emissions. INTRODUCTION In the paper first a complete methodology for the estimate of air pollutant emissions from forest fire will be presented. Next a specific model and a computer code for the estimate of emissions will be introduced. Finally a lot of case studies will be discussed. The methodology for estimate emissions from forest fires was developed on the basis of the EMEP/CORINAIR Task Force on Emission Inventories and, for PM 10, United States Environmental Protection Agency indication. The methodology estimates emissions from the surface of different tree species burned, and evaluation of effective burned biomass. In the methodology the emissions are estimated starting from surface of different tree species fired, with the following steps: evaluation of effective fired biomass (through evaluation of fired forest area, evaluation of above surface biomass factor, evaluation of forest fire efficiency), evaluation of total Carbon, total Nitrogen and total Particulate Matter emitted, carbon compounds, nitrogen compounds and PM 10 emissions evaluation. The air pollutants considered are: Carbon Monoxide (CO), Carbon Dioxide (CO 2 ), Methane (CH 4 ), Nitrogen Oxides (NO x ), Nitrogen Protoxide (N 2 O), Particulate Matter with diameter inferior to 10 microns (PM 10 ). METHODOLOGY The emissions estimate follows the methodology developed by EMEP/CORINAIR Task Force on Emission Inventories 1 integrated with the methodology of the United States Environmental Protection Agency 2 (USEPA) with reference to the PM 10. For this last pollutant a procedure consistent with the preceding ones has been introduced to the goal to furnish only one computational methodology. Particularly for the calculation the followings steps will be followed (Figure 1):

evaluation of the quantity of burnt biomass; evaluation of the quantity of emitted carbon; evaluation of the quantity of emitted nitrogen; evaluation of the quantity of emitted total particulate; calculation of the emissions of the mixtures of the carbon (Carbon Monoxide, Carbon Dioxide, Methane); calculation of the emissions of the mixtures of the nitrogen (Nitrogen Oxides, Nitrogen Protoxide); calculation of the emissions of Particulate Matter with diameter less than 10 micron. Figure 1. Emissions estimate data flow Evaluation of the quantity of burnt biomass Evaluation of the quantity of emitted Carbon Evaluation of the quantity of emitted Total Suspended Particulate Evaluation of the quantity of emitted Nitrogen Calculation of the emissions of the mixtures of the carbon (CO, CO 2, CH 4 ) Calculation of the emissions of PM 10 Calculation of the emissions of the mixtures of the nitrogen (NO x, N 2 O) Evaluation of the quantity of burnt biomass The quantity of dry biomass of given vegetation specie burnt is given from: M i = α A i B i where: i vegetation specie, A i area (in hectares) of fired surface covered by the i specie, B i middle quantity to dry biomass (in tons for hectare) emerged by the ground for i specie, α efficiency of the fire or fraction of definitely destroyed biomass (in case of complete fire must be sets equal to 1 while in case of partial fire it will have to express the evaluation of the quantity of biomass indeed burnt).

In the model are takings in consideration the different crops as defined by the forest statistics. The list of the crops is brought in Table 1 together with an approximate evaluation of the middle quantity of biomass emerged by the ground for every crop. Table 1. List of the crops and relative biomass emerged by the ground. Crops Biomass (t/ha) Resinous tall stem 295 Deciduous tall stem 250 Mixed tall stem 225 Simplex coppice 175 Mixed coppice 185 Mediterranean bush 50 Evaluation of the quantity of emitted carbon The quantity of emitted carbon (in tons) is given from: C = β M where β is the carbon's quantity contained in the biomass (can be set equal to 0.45). The quantity remainder of biomass is mainly constituted by hydrogen and oxygen. Evaluation of the quantity of emitted nitrogen The quantity of emitted nitrogen (in tons) is given from: N = γ C = γ M where γ' is the proportion among emitted carbon and nitrogen (can be set equal to 0.01) and γ the nitrogen quantity contained in the biomass (can be set equal to 0.0045). Evaluation of the quantity of emitted total particulate The quantity of emitted total particulate (in tons) is given from: P = δ M where δ is the quantity of total particulate emitted for unity of biomass (in g of total particulate emitted for g of burnt biomass). As it regards such quantity it is used the datum USEPA of 0.0085. Calculation of carbon compounds emissions The emissions (in tons) of carbon compounds (Carbon Monoxide, Carbon Dioxide, and Methane) are obtained as: E j = ε j δ j C where j is the compound, ε j is the fraction of total carbon emitted as compound j; δ j is the factor of passage from the emissions in tons of Carbon to the emissions in tons of the specific compound. In Table 2 are brought the fraction of total carbon emitted as composed j and the factor of passage by the emissions in tons of Carbon to the emissions in tons of the specific pollutant. Table 2. Factors for the calculation of the emissions of Carbon compounds.

Compound Fraction of total carbon emitted as Conversion factor from C mass to compound mass Carbon Dioxide 0,888 44/12 Methane 0,012 16/12 Carbon Monoxide 0,1 28/12 Calculation of nitrogen compounds emissions as: The emissions (in tons) of nitrogen compounds (Nitrogen Oxides, Nitrogen Protoxide) are obtained E j = ε j δ j N where j is the compound, ε j is the fraction of total nitrogen emitted as composed j; δ j is the factor of passage from the emissions in tons of Nitrogen to the emissions in tons of the specific compound. In Table 3 are brought the fraction of total nitrogen emitted as compound j and the factor of passage by the emissions in tons of Nitrogen to the emissions in tons of the specific pollutant. Table 3. Factors for the calculation of the emissions of Nitrogen compounds. Compound Fraction of total nitrogen emitted as Conversion factor from N mass to compound mass Nitrogen Oxides 0,007 44/28 Nitrogen Protoxide 0.012 30/14 Calculation of Particulate Matter emissions As it regards the emissions of Particulate Matter with diameter inferior to 10 microns, for coherence with the preceding cases, the emissions (in tons) are obtained as: E j = ε j N where j is the fraction of Total Suspended Particulate with diameter inferior to 10 microns, ε j is the fraction of total particulate emitted as fraction j. In Table 4 are brought the fraction of Total Suspended Particulate emitted as Particulate Matter with diameter inferior to 10 microns (datum USEPA). Table 4. Factors for the calculation of the emissions of Particulate Matter with diameter inferior to 10 microns. Compound Fraction of Total Suspended Particulate emitted as Particulate Matter with diameter inferior to 10 microns 0,73 SOFTWARE The model Air Fire allows the estimate of the emissions produced by forest fires. The model is part of a complete system for air pollution evaluation (Air Suite) containing tools for emissions inventory (APEX), models to estimate emissions in particular topics (road transport, airports, forests, ports and navigation lines, forest fires), a model for projection of emissions and to evaluate measures on emissions, an air quality monitoring and meteorological data base, a land use geographical

information system, a statistical package for air quality and meteorological data analysis, air quality dispersion and photochemical models, and geographical information systems. The model is developed in Windows environment with object-oriented Visual Basic language and is available with an ACCESS database. An application in the model environment is called simulation and each model consists in a lot of simulation. A simulation regards a geographical domain (area) and a temporal domain (year, month, day, and hour). The results of the models can be transferred to APEX (Air Pollutant Emissions Computer System) for regional integrated emission evaluation. In Figure 2 the main menu of the software is reported. Figure 2. Air Fire main menu. The following model menus are presented to the user: utility data management reports graphs. The utility function has the following options: simulation management make an existing simulation on line create a new simulation modify an existing simulation deleting an existing simulation

export of simulation data to APEX. The data management function has the following options: manage of fired area (allows to insert or modify fired area). The reports function has the following options: report of total emissions (produce the report of the total emissions for all pollutants); report of emissions by species (produce the report of the total emissions for all pollutants and each crop species). The graphs function has the following options: graph of total emissions (produce the graph of the total emissions for all pollutants); graph of emissions by species (produce the graph of the total emissions for all pollutants and each crop species). CASE STUDIES The model was used at a national level (for the realization of a national emissions inventory) and at regional level (in the frame of emissions inventories and air quality management plans). At regional level, the methodology and the computer model were used in the realization of several regional air quality management plans in Italy 3 (Trento, Toscana, Bolzano, Liguria, Friuli Venezia Giulia and Umbria regions) and several emissions inventories (Firenze, L Aquila, Roma). National Case Study Results The emissions estimate uses the official statistical data available from Forest Body of the State. The Forest Body of the State, since the years 70, picks up and elaborates the information and the data on the forest fires that occur during the year, through the compilation of a model denominated AIB/FN-Sheet. Recently (1997) the model has been updated to adjust it to the new legislations that discipline the forest subject and to the development of the techniques of prevention and struggle. Has been activated, besides, an informative system that, using the actual computer technologies, allows the networking among the peripheral offices of the Forest Body of the State, in charge to collect and elaborate data, the Service Forest Fire Struggle of General Direction and the Office of Statistic. This allows to update a real time data base and to have univocal data on the forest fires to central level. Detailed emissions estimate obtained from Forest Body of the State data, using the model described in the paper, are reported in Table 5 for 1998. All the simulations use an average efficiency of the fire (or fraction of definitely destroyed biomass) α = 0.2. The work was partially performed in the framework of Techne - Ministry of the environment convention for Evaluation of the entity and the effects of the reduction of the emissions of pollutants ruled by international protocols. Table 5. National forest fires emissions estimate year 1998 (tons). Species CH 4 CO CO 2 N 2 O NO X PM 10 1 - Resinous 5772.9 84187.6 1174778.3 92.8 39.7 4975.1 2 - Deciduous 3054.0 44537.3 621485.8 49.1 21.0 2631.9 3 - Mixed Resinous/Deciduous 4134.5 60294.1 841361.4 66.4 28.4 3563.1 4 - Simplex coppice 4457.0 64997.3 906990.9 71.6 30.6 3841.0 5 - Mixed coppice 325.2 4742.9 66183.6 5.2 2.2 280.3 6 - Coppice deteriorate 874.9 12758.3 178033.2 14.1 6.0 754.0 7 - Mediterranean bush 1096.3 15987.8 223098.4 17.6 7.5 944.8 TOTAL 19714.8 287505.3 4011931.6 316.8 135.5 16990.2

An evaluation of the contribution of emissions from forest fires (Table 5) on total national emissions can be obtained using the national official total emissions estimates by the Italy Environmental Protection Agency (ANPA) 4. From these data it is obtained that the forest fires contribute for about 4.5% to the national Carbon Monoxide emissions, 1% to the national Nitrogen Oxides and Methane emissions, 0,9% to the national Carbon Dioxide (CO 2 ) emissions and 0,2% to the national Nitrogen Protoxide emissions. In Figure 3 for PM 10, CO 2 and CO summary results are reported from 1983 to 2000 [Mediterranean bush excluded]. The results show a reduction in emissions during the years. Figure 3. Italy 1990-1995 forest fires PM 10 (tons), CO 2 (ktons) and CO (tons * 10) emissions [*]. 30000 25000 20000 15000 CO/100 CO2/1000 PM10 Linear (PM10) 10000 5000 0 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 [*] Mediterranean bush excluded, 2000 preliminary data Regional Case Study Results The nomenclature used in the emissions inventories, at the local level in Italy, follows the European Commission CORINAIR working group guidelines. CORINAIR nomenclature includes about 200 activities grouped in 11 groups adapted for local inventories. The pollutants included in the inventories are: five main air pollutants, namely Nitrogen Oxides (NO, NO 2, N 2 O), Sulphur Oxides (SO 2, SO 3 ), nonmethane Volatile Organic Compounds (VOC), Carbon Monoxide (CO) and Particulate Matter with diameter less than 10 µ (PM 10 ); regarding VOC, the speciation of emissions has been sometimes considered for using photochemical models; heavy metals (As, Cd, Cu, Cr, Hg, Pb, Zn); greenhouses gases: Carbon Dioxide (CO 2 ), Methane (CH 4 ) and Nitrogen Protoxide (N 2 O); ammonia (NH 3 ). Some experiences of air toxics emissions inventories were realized at local level while, in current inventory activities, benzene and polycyclic aromatic hydrocarbons (PAHPs) are introduced. The sources are generally split in three categories: point sources, area sources and linear sources.

Plant emissions authorizations are used, for industrial area sources, to evaluate the emissions and to allocate them on a square grid mesh (1km x 1km). Other area sources (for instance, domestic solvent use and natural sources) are evaluated on a geographical basis, inside each municipality and subsequently spatially disaggregate on a square grid mesh. These sources are characterized using statistical or survey data on suitable indicators (for example: paint consumption, fuel consumption, population) and emission factors. In the absence of specific indicators, it is possible to use surrogate variables that, because of their high correlation with the activity, allow obtaining almost reliable results. The emissions factors can be found in literature. For forest fires the data from Forest Body of the State are used. In Figure 4 an example, using data from Liguria Regional Coordination of Forest Body of the State, is reported on 1 km x 1 km grid base. Figure 4. Liguria 1995 forest fires PM 10 emissions. PM 10 em issions fro m forest fires [ tonns]- year 1995 11-25 3-11 1-3 0-1 At regional level, in Liguria in the year 1995, forest fires emissions were 5% of total CO emissions and 8% of total PM 10 emissions. CONCLUSIONS In the paper methodology and software for forest fires emissions estimate are presented. The methodology and the software can be usefully applied to national and local emissions estimates.

REFERENCES 1. Atmospheric Emission Inventory Guidebook, Second edition, Gordon McInnes Ed., EMEP/CORINAIR Task Force on Emission Inventories, European Environment Agency, February 1999. 2. Compilation of Air Pollutant Emission Factors: Volume I: Stationary Point and Area Sources, United States Environmental Protection Agency AP-42, Fifth Edition, January 1995. 3. Trozzi C., Vaccaro R., Regional Air Quality Management Plans in Italy: balances and perspectives, In Proceedings Air & Waste Management Association 94th Annual Conference & Exhibition, June 24-28, 2001, Orlando, Florida, USA 4. Trozzi C., Vaccaro R., Trobbiani R., Digiovandomenico P., Piscitello E., Emission inventory software tools for air quality management plans. In Proceeding of a Specialty conference "The Emission Inventory: Living in a Global Environment", December 8-10, 1998, New Orleans, Louisiana (USA) 5. Agenzia Nazionale per la Protezione dell Ambiente (ANPA) SINAnet Rete Nazionale di Informazione in Campo Ambientale