1.                      Emissions

1.1                   Anthropogenic Emissions

The major driver of the LOTOS-EUROS system is the anthropogenic emission data of VOC, SOx, NOx, NH3, CO, CH4 and PM. In the framework of UBA-project FKZ 202 43270, a European-wide emission data base for the year 2000 has been made on grids of 0.25 x 0.125 latlong, about 15 x 15 km2. The emission sectoral totals have been scaled to conform to the latest country submissions to EMEP for the year 2000, whenever available ( Visschedijk and Denier van der Gon, 2005). The database contains a separation between area and point source information. This database for point sources has been set up already in the 80s and has been updated since, using various sources of information such as national authorities, contacts with (local) experts, industrial interest organisations, various proprietary data bases etc. PM emissions for 2000 are assumed to be the same as those in the CEPMEIP project (derived for 1995). The reasoning is that the uncertainty in the emission estimate is much larger than the trend in the PM emissions. The CEPMEIP database does not specify the composition of the emitted particles. Therefore, black carbon emissions were derived from the primary PM2.5 emissions. The BC emissions are calculated in the model from the estimated BC-fractions per country and source category (Schaap et al., 2004b). We assume 2% of the SO2 emissions to be emitted as particulate sulphate.

1.1.1             Time- and temperature factors

The basic information, which is also the input data for the chemistry-transport-model (LOTOS-EUROS), is the gridded yearly averaged anthropogenic emission database. However in reality emissions of specific source categories, as for example road transport, fluctuate in time and/or with temperature. The time and temperature factors that are in use LOTOS-EUROS are the result of a critical review of these factors within the TROTREP project (Builtjes et al., 2003). The factors used are specified in the tables below.

Table 8.1        Monthly emissions factors for the SNAP level 1 categories.

category

jan

feb

mar

apr

may

jun

jul

aug

sep

oct

nov

dec

1

Power generation

1.20

1.15

1.05

1.00

0.90

0.85

0.80

0.87

0.95

1.00

1.08

1.15

2

Residential, commercial and other combustion

1.70

1.50

1.30

1.00

0.70

0.40

0.20

0.40

0.70

1.05

1.40

1.65

3

Industrial combustion

1.10

1.08

1.05

1.00

0.95

0.90

0.93

0.95

0.97

1.00

1.02

1.05

4

Industrial processes

1.02

1.02

1.02

1.02

1.02

1.02

1.00

0.84

1.02

1.02

1.02

0.90

5

Extraction distribution of fossil fuels

1.20

1.20

1.20

0.80

0.80

0.80

0.80

0.80

0.80

1.20

1.20

1.20

6

Solvent use

0.95

0.96

1.02

1.00

1.01

1.03

1.03

1.01

1.04

1.03

1.01

0.91

7a

Road transport gasoline

0.88

0.92

0.98

1.03

1.05

1.06

1.01

1.02

1.06

1.05

1.01

0.93

7b

Road transport diesel

0.88

0.92

0.98

1.03

1.05

1.06

1.01

1.02

1.06

1.05

1.01

0.93

7c

Road transport evaporation

0.88

0.92

0.98

1.03

1.05

1.06

1.01

1.02

1.06

1.05

1.01

0.93

8

Other mobile sources and machinery

0.88

0.92

0.98

1.03

1.05

1.06

1.01

1.02

1.06

1.05

1.01

0.93

9

Waste treatment and disposal

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

10

Agriculture

0.45

1.30

2.35

1.70

0.85

0.85

0.85

1.00

1.10

0.65

0.45

0.45

 

Table 8.2        Emission factors for the day of the week for the SNAP level 1 categories.

category

Mon

Tue

Wed

Thu

Fri

Sat

Sun

1

Power generation

1.06

1.06

1.06

1.06

1.06

0.85

0.85

2

Residential, commercial and other combustion

1.08

1.08

1.08

1.08

1.08

0.8

0.8

3

Industrial combustion

1.08

1.08

1.08

1.08

1.08

0.8

0.8

4

Industrial processes

1.02

1.02

1.02

1.02

1.02

1.02

1

5

Extraction distribution of fossil fuels

1

1

1

1

1

1

1

6

Solvent use

1.2

1.2

1.2

1.2

1.2

0.5

0.5

7a

Road transport gasoline

1.02

1.06

1.08

1.1

1.14

0.81

0.79

7b

Road transport diesel

1.02

1.06

1.08

1.1

1.14

0.81

0.79

7c

Road transport evaporation

1.02

1.06

1.08

1.1

1.14

0.81

0.79

8

Other mobile sources and machinery

1

1

1

1

1

1

1

9

Waste treatment and disposal

1

1

1

1

1

1

1

10

Agriculture

1

1

1

1

1

1

1

Table 8.3        Emission factors for the hour of day (1:00-12:00) for the SNAP level 1 categories.

 

Hour of day

category

1

2

3

4

5

6

7

8

9

10

11

12

1

Power generation

0.79

0.72

0.72

0.71

0.74

0.80

0.92

1.08

1.19

1.22

1.21

1.21

2

Residential, commercial and other combustion

0.38

0.36

0.36

0.36

0.37

0.50

1.19

1.53

1.57

1.56

1.35

1.16

3

Industrial combustion

0.75

0.75

0.78

0.82

0.88

0.95

1.02

1.09

1.16

1.22

1.28

1.30

4

Industrial processes

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

5

Extraction distribution of fossil fuels

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

6

Solvent use

0.50

0.35

0.20

0.10

0.10

0.20

0.75

1.25

1.40

1.50

1.50

1.50

7a

Road transport gasoline

0.19

0.09

0.06

0.05

0.09

0.22

0.86

1.84

1.86

1.41

1.24

1.20

7b

Road transport diesel

0.19

0.09

0.06

0.05

0.09

0.22

0.86

1.84

1.86

1.41

1.24

1.20

7c

Road transport evaporation

0.19

0.09

0.06

0.05

0.09

0.22

0.86

1.84

1.86

1.41

1.24

1.20

8

Other mobile sources and machinery

0.19

0.09

0.06

0.05

0.09

0.22

0.86

1.84

1.86

1.41

1.24

1.20

9

Waste treatment and disposal

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

10

Agriculture

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

 

Table 8.4        Emission factors for the hour of day (13:00-24:00) for the SNAP level 1 categories.

 

Hour of day

category

13

14

15

16

17

18

19

20

21

22

23

24

1

Power generation

1.17

1.15

1.14

1.13

1.10

1.07

1.04

1.02

1.02

1.01

0.96

0.88

2

Residential, commercial and other combustion

1.07

1.06

1.00

0.98

0.99

1.12

1.41

1.52

1.39

1.35

1.00

0.42

3

Industrial combustion

1.22

1.24

1.25

1.16

1.08

1.01

0.95

0.90

0.85

0.81

0.78

0.75

4

Industrial processes

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

5

Extraction distribution of fossil fuels

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

6

Solvent use

1.50

1.50

1.50

1.50

1.50

1.40

1.25

1.10

1.00

0.90

0.80

0.70

7a

Road transport gasoline

1.32

1.44

1.45

1.59

2.03

2.08

1.51

1.06

0.74

0.62

0.61

0.44

7b

Road transport diesel

1.32

1.44

1.45

1.59

2.03

2.08

1.51

1.06

0.74

0.62

0.61

0.44

7c

Road transport evaporation

1.32

1.44

1.45

1.59

2.03

2.08

1.51

1.06

0.74

0.62

0.61

0.44

8

Other mobile sources and machinery

1.32

1.44

1.45

1.59

2.03

2.08

1.51

1.06

0.74

0.62

0.61

0.44

9

Waste treatment and disposal

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

10

Agriculture

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

The hour of day is local time, hence information over the deviation from GMT is needed for each country. The following time-zones are incorporated:

GMT+0            UK, Ireland, Iceland and Portugal

GMT+1            all other European countries except those listed with GMT+2:

GMT+2            for Finland, Estonia, Latvia, Belarus, Ukrain, Moldavia, Romania, Bulgaria, Greece and Turkey

GMT+3            Azerbaidjan, Armenia, Georgia, Russia untill the Oeral.

Currently it is assumed that all countries have the shift from summer to wintertime and vice versa at the same days, i.e. the last Sunday of October and March, respectively.

In addition to the time factors specified above in Table 8.1 to 8.4, a temperature factor for road transport, categories 7a and 7b, is applied for the emissions of VOC and CO. Their emissions are assumed to decrease linearly with temperature, as shown in Figure 8.1.

Figure 8.1       Temperature factors to be applied for VOC and CO from road transport category (71 and 72: gasoline and diesel).

The higher emissions for VOC and CO at lower temperatures are due to the so-called “cold start”.

1.1.2             NMVOC-speciation

CBM-IV uses nine primary organic species (i.e., species emitted directly to the atmosphere as opposed to secondary organic species formed by chemical reaction in the atmosphere).  Most of the organic species in the mechanism represent carbon-carbon bond types, but ethene (ETH), isoprene (ISOP) and formaldehyde (FORM) are represented explicitly. CB99 includes two additional primary organic species, methanol (MEOH) and ethanol (ETOH).  The carbon-bond types include carbon atoms that contain only single bonds (PAR), double-bonded carbon atoms (OLE), 7-carbon ring structures represented by toluene (TOL), 8-carbon ring structures represented by xylene (XYL), the carbonyl group with adjacent carbon atom and higher molecular weight aldehydes represented by acetaldehyde (ALD2), and non-reactive carbon atoms (NR).

 

Many organic compounds are apportioned to the carbon-bond species based simply on the basis of molecular structure. For example, propane is represented by three PARs since all three carbon atoms have only single bonds, and propene is represented as one OLE (for the one carbon-carbon double bond) and one PAR (for the carbon atom with all single bonds).  Some apportionments are based on reactivity considerations, however. For example, olefins with internal double bonds are represented as ALD2s and PARs rather than OLEs and PARs. Further, the reactivity of some compounds may be lowered by apportioning some of the carbon atoms to the non-reactive class NR. For example, the less reactive ethane (C2H6) is represented as 0.4 PAR and 1.6 NR)(EPA, 1999).  Apportioning rules have been established for many organic compounds and can be found in e.g. Gery (1989), US EPA (1989) and Carter (1994).

 

The NMVOC emissions are split into the model species as presented in Table 8.5 and 8.6 for CBM-IV and CB99, respectively. Presently, we use the VOC-splits as used in LOTOS for CBM4 and EUROS for CB99. Hence, the splits are not internally consistent. The split for CB99 is derived from Barrett and Berge (1996) (see also Brouwer, 2005). The split for CBM4 is based on the emission inventory of VOC’s, which are specified in 125 different species or classes. These species are translated to Carbon bond species. The total and lumbed VOC emissions within a SNAP 1 sector are summed to arrive at the total VOC mass and the total moles of the lumbed Carbon Bond species, which were used to determine the average VOC-split for a SNAP 1 category.

A newer version of the split for the CBM4 gas phase chemistry scheme is available from the TROTREP project. The major differences between the current used CBM-IV and TROTREP split are the amount of PAR and UNR species. The TROTREP split yields more PAR which is included as UNR (=Unreactive) in the present split. For a detailed comparison of the available VOC-splits we refer to Brouwer (2005). For 2006 an update of the VOC-splits to arrive at harmonisation between the schemes is foreseen.

 

Table 8.5. VOC-speciation used for CBM-IV(mol/ (Kg VOC))

 

S

OLE

PAR*

TOL

XYL

FORM

ALD

ETH

UNR

Power generation

1

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Small combustion

sources

2

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Industrial combustion

3

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Industrial processes

4

2.18

24.55

0.84

0.42

2.03

0.28

7.14

16.06

Extraction distribution

of fossil fuels

5

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Solvent use

6

0.10

39.85

0.65

0.75

0.00

0.52

0.19

2.95

(Road transport)

(7)

0.25

29.35

1.35

1.66

0.87

0.71

2.18

10.48

Other mobile sources

8

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Waste treatment and

disposal

9

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Agriculture

10

0.45

7.08

0.22

0.09

1.04

1.70

5.36

38.00

Road transport gasoline

71

0.25

29.35

1.35

1.66

0.87

0.71

2.18

10.48

Road transport diesel

72

0.20

44.13

0.25

0.25

2.27

0.72

3.93

5.69

Road transport lpg

73

0.20

44.13

0.25

0.25

2.27

0.72

3.93

5.69

Road transport

evaporation

74

0.81

63.03

0.16

0.05

0.27

1.34

0.00

0.98

* PAR also includes the original CBM4 species ACET and KET following PAR = PAR + 3 ACET + 4 KET

 

The split for CB99 does not contain toluene (TOL). The reason is that in the past all toluene was attributed to xylene (XYL). The actual split between these compounds could not be recovered.

 

Table 8.6. VOC-speciation used for CB99 (mol/ (Kg VOC))

 

S

OLE

PAR

TOL

XYL

FORM

ALD2

ETH

UNR

MEOH

ETOH

Power generation

1

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Small combustion

sources

2

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Industrial combustion

3

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Industrial processes

4

0.00

0.80

0.00

0.17

0.03

0.05

0.68

0.00

0.03

20.33

Extraction distribution

of fossil fuels

5

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Solvent use

6

0.00

26.79

0.00

5.81

0.00

0.50

0.00

0.00

0.00

4.35

Road transport gasoline

(7)

1.81

23.79

0.00

7.83

0.53

0.25

3.07

0.00

0.00

1.91

Other mobile sources

8

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Waste treatment and

disposal

9

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Agriculture

10

2.19

24.29

0.00

0.60

0.73

0.55

5.75

0.00

0.13

4.85

Road transport gasoline

71

1.81

23.79

0.00

7.83

0.53

0.25

3.07

0.00

0.00

1.91

Road transport diesel

72

1.81

23.79

0.00

7.83

0.53

0.25

3.07

0.00

0.00

1.91

Road transport lpg

73

1.81

23.79

0.00

7.83

0.53

0.25

3.07

0.00

0.00

1.91

Road transport

evaporation

74

1.81

23.79

0.00

7.83

0.53

0.25

3.07

0.00

0.00

1.91

1.2                   Biogenic emissions

1.2.1             NMVOC and NO

In the LOTOS-EUROS the biogenic NMVOC-emissions from forests are given by a method developed by Veldt (1991). Apart from the difference between deciduous, coniferous and mixed forest, the only other parameter was ambient temperature. Extensive studies by Guenther showed that next to ambient temperature also the Photosynthetic Active Radiation (PAR) is important Guenther (1994). These findings by Guenther (1994) have been applied to Europe by Simpson et al. (1995).

Although many uncertainties still exist, the method by Simpson is the most suited at the moment. However, this method distinguishes in more detailed forest types as currently available in our current land use database, PELINDA. Hence, we have not updated our scheme yet and still use the method by Veldt (1991).

In the UBA-project FKZ 202 43270 a new CORINE/Smiatek land use data base has been made incorporating detailed tree-species information based on Lenz et al. (2001) containing 115 different tree-species on grids of 1 x 1 km2 over Europe. This land use data base will be used in the near future to determine biogenic emissions.

 

For isoprene the following formula is currently used:

 

 

Econif/decid           Isoprene emission strength (g/m3/hr)

Tk                   Temperature (K)

 

The emission only occurs during daylight. The emission strength is weighted with the area covered with deciduous and/or coniferous forest.

 

Monoterpene emissions are included in the calculation for biogenic secondary aerosol concentrations. Monoterpene emissions, a-pinene and d-limoneen, are assumed to occur only from coniferous forest. For both species the following emission strength is calculated:

 

 

Econif                 Emission strength (g/m3/hr)

Tk                   Temperature (K)

C                     Constant, C is 0.23 for d-limonene and 0.21 for a-pinene

 

The emission only occurs during daylight. The emission strength is weighted with the area covered with coniferous forest.

 

Previous studies indicated only about 4 % of the total NO emissions to be biogenic. For this reason we neglect the biogenic emission of NO at the moment. The formulation by Yienger and Levy ,1995 has also been implemented in test-form and will be used in the near future.

1.2.2             Sea salt

The sea salt emission fluxes in LOTOS-EUROS are currently described using the source formulation by Monahan et al. (1986). This source formulation is an empirical relation between the the whitecap cover, average decay time of a whitecap, the number of drops produced per square meter of whitecap and the resulting droplet flux dF/dr:

 

 

dF/dr               source flux of salt particles per increment of drop radius (μm-1m-2s-1)

rp                     wet droplet radius (μm)

U10                  wind speed at ten meter (m s-1)

W(U10)            surface fraction covered with whitecap

dE/dr               droplet flux per increment of drop radius per unit whitecap (μm-1m-2)

 

 

The implementation required to translate the particle flux provided by Monahan (1986) into a sea salt mass flux. As sea salt is most probably a wet aerosol after emission we have to account for the fact that the dry radius determines the sea salt mass and that the wet radius determines the atmospheric lifetime. The relation between dry and wet radius varies with relative humidity but for simplicity we assume a constant particle size. At a relative humidity of 80% the particle radius rp and dry particle radius rd are related as follows:

 

rp = 2.0*rd

 

Such a particle has a salt mass content mp of:

 

 

With  the density of salt (2.17 10-6 μg/m3). The salt mass flux is simply given as:

 

 

 

so that the mass flux for the Monahan formulation becomes:

 

 

The mass flux is obtained by integrating equation x with respect to rp. As the modelling of sea salt is usually performed in several size bins to account for the lifetime differences between particles of different size, the mass flux for each bin n is taken into account. The constant E and function f are independent of rp and can be taken outside the integral:

 

 

where rn and rn-1 are the upper and lower limits of each bin. The numeric value of E is 1.56 10-6 and the value for f(U10) is evaluated every hour in the model using the meteorological parameters from the model.

The sea salt module consists of two parts. The first part integrates the size dependent part (I) of the emission formulation over the size bins chosen for the simulation. The lowest size bin is integrated starting from 0.14 um as the Monahan function has not been validated for particles smaller than this size. These calculations are only performed at the start of the simulation. The second part of the module contains the actual calculation of the emission strength and is called every hour. The total flux is scaled with the percentage sea in the grid cell.