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  • user_guide_sector_livestock

user_guide_sector_livestock · Changes

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Wiki update authored Sep 13, 2022 by Carles Tena's avatar Carles Tena
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# Livestock sector
This section of the configuration file is used to define all the parameters needed for the calculation of the livestock sector.
DESCRIPTION
```text
[LIVESTOCK]
livestock_source_pollutants = nox_no, nh3, nmvoc, pm10, pm25
animal_list = cattle chicken goats pigs sheep
gridded_livestock = <data_path>/fao/glwv3/original_files/<animal>_2010_glwv3.tif
correction_split_factors = <input_dir>/livestock/<animal>_2016.csv
denominator_yearly_factor_dir = <data_path>/ecmwf/era5/yearly/dailyfactorlivestock
livestock_ef_files_dir = <input_dir>/livestock/ef
livestock_monthly_profiles = <input_dir>/profiles/temporal/livestock/monthly_profiles.csv
livestock_weekly_profiles = <input_dir>/profiles/temporal/livestock/weekly_profiles.csv
livestock_hourly_profiles = <input_dir>/profiles/temporal/livestock/hourly_profiles.csv
livestock_speciation_profiles = <input_dir>/profiles/speciation/livestock/speciation_profiles_base.csv
```
## Options description
| **Option** | **Details** |
| :--------: | :---------- |
| livestock_source_pollutants | List of pollutants considered for the calculation of the livestock sector. |
| animal_list | [OPTIONAL] Defines the list of livestock categories [cattle, chicken, goats, pigs or sheep] to be considered for the emission calculation. |
| gridded_livestock | Defines the path to the [GLWv3 livestock population density raster files](https://dataverse.harvard.edu/dataverse/glw_3). The string ```<animal>``` is automatically replaced by the different livestock categories considered for the calculation. |
| correction_split_factors | Defines the path to the CSV file that contains the [livestock subgroup split factors and adjusting factors to match the official statistics provided at the NUTS3 level](#correction-and-split-factors-file). The string <animal> is automatically replaced by the different livestock categories considered for the calculation. A description of each livestock subcategory code is available [here](examples_livestock_categories)|
| denominator_yearly_factor_dir | Define the path to the NetCDF file that contains the yearly average daily factor per grid cell. |
| livestock_ef_files_dir | Defines the path to the CSV files that contain the emission factors for each pollutant. Each pollutant has its own emission factor file format. |
| | [NH3 emission factor file](#nh3-emission-factor-file) |
| | [NMVOC emission factor file](#nmvoc-emission-factor-file) |
| | [NOx (as NO) emission factor file](#nox_no-emission-factor-file) |
| | [PM emission factor file](#pm-emission-factor-file) |
| livestock_monthly_profiles | Defines the path to the CSV file that contains the [monthly temporal profiles](#temporal-monthly-profiles)|
| livestock_weekly_profiles | Defines the path to the CSV file that contains the [weekly temporal profiles](#temporal-weekly-profiles)|
| livestock_hourly_profiles | Defines the path to the CSV file that contains the [hourly temporal profiles](#temporal-hourly-profiles)|
| livestock_speciation_profiles | Defines the path to the CSV file that contains the [speciation profiles](examples_profiles_speciation_profiles)|
### Correction and split factors file
The example below displays the first few lines of the correction and split factors CSV file used for Spain.
```csv
"nuts3_na","nuts3_id","sheep_fact","sheep_01","sheep_02","sheep_03","sheep_04","sheep_05","sheep_06","sheep_07"
"A Coruña","15",0.932198677861049,0.281808193376236,0.0621880395542301,0.0146287866896876,0.00367289279547952,0.000941767383456286,0.00141265107518443,0.635347669125726
"Álava","01",0.68414194639191,0.0556329784268911,0.0308081089618522,0.138339186502406,0.0812011074567516,0.0691603025066429,0.351152981399929,0.273705334745526
"Albacete","02",0.854723802291495,0.156820555143839,0.023298019268342,0.0738395203126053,0.0204894563093714,0.031144731523277,0.252027470861686,0.44238024658088
"Alicante","03",0.80613829142684,0.230323883787021,0.0292293961528525,0.0251309392394955,0.000857270357235127,0.0560748761068182,0.0134932005542899,0.644890433802288
"Almería","04",1.06545564602965,0.216675680252599,0.0304823087890657,0.0451717224689578,0.00171531271680406,0.0660395395969561,0.0162026035606396,0.623712832614978
"Asturias","33",1.27795630950995,0.162062537073129,0.0600161003304805,0.0155495297008728,0.00192780272858232,0.0525167358698415,0.0253156512159986,0.682611643081095
"Ávila","05",0.74571235762723,0.208336552150354,0.0201626698155894,0.00771412490481498,0.0112952887554766,0.0436471587961992,0.212326045931599,0.496518159645967
"Badajoz","06",1.00543087971275,0.237212109349514,0.0253603032831639,0.0442455350550971,0.00291667954383905,0.0487031828936208,0.036256966550257,0.605305223324508
"Baleares","07",1.03638401921415,0.273844288757016,0.0268884542738878,0.0139850772260251,0.000207632851535813,0.0487401374395521,0.00270592490388608,0.633628484548097
"Barcelona","08",0.828293624797435,0.333936921561282,0.018357407484494,0.0453384950533516,0.000457894517753819,0.0384076371255325,0.00670884846466581,0.556792795792921
```
|nuts3_na |nuts3_id|sheep_fact|sheep_01|sheep_02|sheep_03|sheep_04|sheep_05|sheep_06|sheep_07|
|----|--------|----------|--------|--------|--------|--------|--------|--------|--------|
|A Coruña|15 |0.932198677861049|0.281808193376236|0.0621880395542301|0.0146287866896876|0.00367289279547952|0.000941767383456286|0.00141265107518443|0.635347669125726|
|Álava|01 |0.68414194639191|0.0556329784268911|0.0308081089618522|0.138339186502406|0.0812011074567516|0.0691603025066429|0.351152981399929|0.273705334745526|
|Albacete|02 |0.854723802291495|0.156820555143839|0.023298019268342|0.0738395203126053|0.0204894563093714|0.031144731523277|0.252027470861686|0.44238024658088|
|Alicante|03 |0.80613829142684|0.230323883787021|0.0292293961528525|0.0251309392394955|0.000857270357235127|0.0560748761068182|0.0134932005542899|0.644890433802288|
|Almería|04 |1.06545564602965|0.216675680252599|0.0304823087890657|0.0451717224689578|0.00171531271680406|0.0660395395969561|0.0162026035606396|0.623712832614978|
|Asturias|33 |1.27795630950995|0.162062537073129|0.0600161003304805|0.0155495297008728|0.00192780272858232|0.0525167358698415|0.0253156512159986|0.682611643081095|
|Ávila|05 |0.74571235762723|0.208336552150354|0.0201626698155894|0.00771412490481498|0.0112952887554766|0.0436471587961992|0.212326045931599|0.496518159645967|
|Badajoz|06 |1.00543087971275|0.237212109349514|0.0253603032831639|0.0442455350550971|0.00291667954383905|0.0487031828936208|0.036256966550257|0.605305223324508|
|Baleares|07 |1.03638401921415|0.273844288757016|0.0268884542738878|0.0139850772260251|0.000207632851535813|0.0487401374395521|0.00270592490388608|0.633628484548097|
|Barcelona|08 |0.828293624797435|0.333936921561282|0.018357407484494|0.0453384950533516|0.000457894517753819|0.0384076371255325|0.00670884846466581|0.556792795792921|
| **Option** | **Details** |
| :--------: | :---------- |
| nuts3_na | name of the NUTS3. |
| nuts3_id | Code of the NUTS3. This code needs to be equal to the NUTS code defined in the [NUTS3 shapefile](user_guide_section_sectors). |
| \<animal>_fact | Adjusting factor to match original 2010 GLWv3 values to the official statistics provided at the NUTS3 level for another specific year. |
| \<animal>_\<animal_type_num> | Livestock subgroup split factor at NUTS3 level [0 : 1]. For each line, total sum need to be equal to 1. |
### NH3 emission factor file
The example below display the first few lines of the NH3 emission factors CSV files used in HERMESv3_BU.
```csv
Code,Nex,Xtan,Xhousing,Xyards,Xgraz,Xslurry,Xsolid,EF_hous_slurry,EF_hous_solid,EF_yard,f_imm,m_bedding_N,x_store_slurry,x_store_FYM,f_min,EF_storage_slurry_NH3,EF_storage_solid_NH3,EF_graz
cattle_01,16.1641165,0.6,0.28,0.28,0.44,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_02,31.40710359,0.6,0.5,0.5,0,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_03,20.47978098,0.6,0.15,0.15,0.71,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_04,36.41903162,0.6,0.5,0.5,0,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_05,57.5884268,0.6,0.18,0.18,0.64,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_06,57.10922647,0.6,0.14,0.14,0.71,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_07,71.72764552,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_08,50.65596814,0.6,0.34,0.34,0.31,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_09,54.03423295,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
cattle_10,110.5137624,0.6,0.5,0.5,0,0.505,0.495,0.13,0.19,0.3,0.0067,6,0.4859,0.4952,0.1,0.2,0.27,0.1
cattle_11,60.42685066,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,0.2,0.27,0.06
pigs_01,3.566252147,0.62,0.75,0.25,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,0.14,0.45,0
pigs_02,9.207779901,0.62,0.75,0.25,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,0.14,0.45,0
pigs_03,11.1936769,0.67,0.75,0.25,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,0.14,0.45,0
pigs_04,12.17544026,0.67,0.75,0.25,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,0.14,0.45,0
pigs_05,16.01878309,0.67,0.35,0.12,0.54,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,0.14,0.45,0
pigs_06,22.38474672,0.67,0.34,0.11,0.54,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,0.14,0.45,0.25
pigs_07,14.24117624,0.7,0.65,0.22,0.14,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,0.14,0.45,0.25
pigs_08,14.6490988,0.7,0.68,0.23,0.09,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,0.14,0.45,0.25
pigs_09,16.50105376,0.7,0.67,0.22,0.11,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,0.14,0.45,0.25
pigs_10,31.42748249,0.63,0.61,0.2,0.18,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,0.14,0.45,0.25
sheep_01,1.358160084,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_02,9.044422685,0.5,0.1,0.1,0.81,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_03,8.893766298,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_04,7.543752839,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_06,7.543752839,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_05,6.286804703,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
sheep_07,6.286804703,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,1.1,0,0.28,0.09
goats_01,2.450345327,0.5,0.17,0.17,0.67,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
goats_02,9.026694389,0.5,0.13,0.13,0.74,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
goats_03,7.22996897,0.5,0.14,0.14,0.71,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
goats_04,7.787087332,0.5,0.15,0.15,0.7,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
goats_05,10.26526951,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
goats_06,10.26526951,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.28,0.09
chicken_01,0.5712323737,0.7,1,0,0,0.628,0.372,0.41,0.41,0,0.0067,0,0.7,0.3,0.1,0.14,0.14,0
chicken_02,0.7175473431,0.7,1,0,0,0,1,0,0.28,0,0.0067,0,0,1,0.1,0,0.17,0
```
|Code |Nex |Xtan|Xhousing|Xyards|Xgraz|Xslurry|Xsolid|EF_hous_slurry|EF_hous_solid|EF_yard|f_imm |m_bedding_N|x_store_slurry|x_store_FYM|f_min|EF_storage_slurry_NH3|EF_storage_solid_NH3|EF_graz|
|----------|------------|----|--------|------|-----|-------|------|--------------|-------------|-------|------|-----------|--------------|-----------|-----|---------------------|--------------------|-------|
|cattle_01 |16.1641165 |0.6 |0.28 |0.28 |0.44 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_02 |31.40710359 |0.6 |0.5 |0.5 |0 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_03 |20.47978098 |0.6 |0.15 |0.15 |0.71 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_04 |36.41903162 |0.6 |0.5 |0.5 |0 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_05 |57.5884268 |0.6 |0.18 |0.18 |0.64 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_06 |57.10922647 |0.6 |0.14 |0.14 |0.71 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_07 |71.72764552 |0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_08 |50.65596814 |0.6 |0.34 |0.34 |0.31 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_09 |54.03423295 |0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|cattle_10 |110.5137624 |0.6 |0.5 |0.5 |0 |0.505 |0.495 |0.13 |0.19 |0.3 |0.0067|6 |0.4859 |0.4952 |0.1 |0.2 |0.27 |0.1 |
|cattle_11 |60.42685066 |0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |0.2 |0.27 |0.06 |
|pigs_01 |3.566252147 |0.62|0.75 |0.25 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |0.14 |0.45 |0 |
|pigs_02 |9.207779901 |0.62|0.75 |0.25 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |0.14 |0.45 |0 |
|pigs_03 |11.1936769 |0.67|0.75 |0.25 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |0.14 |0.45 |0 |
|pigs_04 |12.17544026 |0.67|0.75 |0.25 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |0.14 |0.45 |0 |
|pigs_05 |16.01878309 |0.67|0.35 |0.12 |0.54 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |0.14 |0.45 |0 |
|pigs_06 |22.38474672 |0.67|0.34 |0.11 |0.54 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |0.14 |0.45 |0.25 |
|pigs_07 |14.24117624 |0.7 |0.65 |0.22 |0.14 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |0.14 |0.45 |0.25 |
|pigs_08 |14.6490988 |0.7 |0.68 |0.23 |0.09 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |0.14 |0.45 |0.25 |
|pigs_09 |16.50105376 |0.7 |0.67 |0.22 |0.11 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |0.14 |0.45 |0.25 |
|pigs_10 |31.42748249 |0.63|0.61 |0.2 |0.18 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |0.14 |0.45 |0.25 |
|sheep_01 |1.358160084 |0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_02 |9.044422685 |0.5 |0.1 |0.1 |0.81 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_03 |8.893766298 |0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_04 |7.543752839 |0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_06 |7.543752839 |0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_05 |6.286804703 |0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|sheep_07 |6.286804703 |0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |1.1 |0 |0.28 |0.09 |
|goats_01 |2.450345327 |0.5 |0.17 |0.17 |0.67 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|goats_02 |9.026694389 |0.5 |0.13 |0.13 |0.74 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|goats_03 |7.22996897 |0.5 |0.14 |0.14 |0.71 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|goats_04 |7.787087332 |0.5 |0.15 |0.15 |0.7 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|goats_05 |10.26526951 |0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|goats_06 |10.26526951 |0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.28 |0.09 |
|chicken_01|0.5712323737|0.7 |1 |0 |0 |0.628 |0.372 |0.41 |0.41 |0 |0.0067|0 |0.7 |0.3 |0.1 |0.14 |0.14 |0 |
|chicken_02|0.7175473431|0.7 |1 |0 |0 |0 |1 |0 |0.28 |0 |0.0067|0 |0 |1 |0.1 |0 |0.17 |0 |
| **Option** | **Details** |
| :--------: | :---------- |
| Code | Livestock subgroup category code. |
| Nex | Nitrogen (N) excretion rate for livestock l ( in kg·N head-1). |
| Xtan | Fraction of total ammoniacal nitrogen (TAN) content of the excreta [0 : 1]. |
| Xhousing | Fraction of total excreta occurring during housing [0 : 1]. |
| Xyards | Fraction of total excreta occurring during yarding [0 : 1]. |
| Xgraz | Fraction of total excreta occurring during grazing [0 : 1]. |
| Xslurry | Fraction of housing excreta managed as slurry [0 : 1]. |
| Xsolid | Fraction of housing excreta managed as solid [0 : 1]. |
| EF_hous_slurry | Emission factor associated to housing (slurry) excreta (in kg NH3-N·kg N-1). |
| EF_hous_solid | Emission factor associated to housing (solid) excreta (in kg NH3-N·kg N-1). |
| EF_yard | Emission factor associated to yarding (in kg NH3-N·kg N-1). |
| f_imm | Fraction of TAN that is immobilised in organic matter (in kg N·kg straw-1). Assuming 0.0067 by default. |
| m_bedding_N | Nitrogen added in animal bedding ( in kg·N head-1). |
| x_store_slurry | Fraction of storage excreta managed as slurry [0 : 1]. |
| x_store_FYM | Fraction of storage excreta managed as solid [0 : 1]. |
| f_min | Fraction of the organic N that is mineralised [0 : 1]. Assuming 0.1 by default. |
| EF_storage_slurry_NH3 | Emission factor associated to storage (slurry) excreta (in kg NH3-N·kg N-1). |
| EF_storage_solid_NH3 | Emission factor associated to storage (solid) excreta (in kg NH3-N·kg N-1). |
| EF_graz | Emission factor associated to grazing (in kg NH3-N·kg N-1). |
### NMVOC emission factor file
```csv
"Code","Xhousing","EF_nmvoc"
cattle_01,0.56,6.252
cattle_02,1,6.252
cattle_03,0.3,6.252
cattle_04,1,6.252
cattle_05,0.36,6.252
cattle_06,0.28,6.252
cattle_07,0,6.252
cattle_08,0.68,6.252
cattle_09,0,6.252
cattle_10,1,12.992
cattle_11,0,6.252
pigs_01,1,0.551
pigs_02,1,0.551
pigs_03,1,0.551
pigs_04,1,0.551
pigs_05,0.46,0.551
pigs_06,0.46,0.551
pigs_07,0.86,1.704
pigs_08,0.91,1.704
pigs_09,0.89,1.704
pigs_10,0.82,1.704
sheep_01,1,0.224
sheep_02,0.2,0.224
sheep_03,0,0.224
sheep_04,1,0.224
sheep_06,1,0.224
sheep_05,0,0.224
sheep_07,0,0.224
goats_01,0.34,0.583
goats_02,0.26,0.583
goats_03,0.28,0.583
goats_04,0.3,0.583
goats_05,1,0.583
goats_06,0,0.583
chicken_01,1,0.165
chicken_02,1,0.108
```
|Code |Xhousing|EF_nmvoc |
|---------|--------|---------|
|cattle_01|0.56 |6.252 |
|cattle_02|1 |6.252 |
|cattle_03|0.3 |6.252 |
|cattle_04|1 |6.252 |
|cattle_05|0.36 |6.252 |
|cattle_06|0.28 |6.252 |
|cattle_07|0 |6.252 |
|cattle_08|0.68 |6.252 |
|cattle_09|0 |6.252 |
|cattle_10|1 |12.992 |
|cattle_11|0 |6.252 |
|pigs_01 |1 |0.551 |
|pigs_02 |1 |0.551 |
|pigs_03 |1 |0.551 |
|pigs_04 |1 |0.551 |
|pigs_05 |0.46 |0.551 |
|pigs_06 |0.46 |0.551 |
|pigs_07 |0.86 |1.704 |
|pigs_08 |0.91 |1.704 |
|pigs_09 |0.89 |1.704 |
|pigs_10 |0.82 |1.704 |
|sheep_01 |1 |0.224 |
|sheep_02 |0.2 |0.224 |
|sheep_03 |0 |0.224 |
|sheep_04 |1 |0.224 |
|sheep_06 |1 |0.224 |
|sheep_05 |0 |0.224 |
|sheep_07 |0 |0.224 |
|goats_01 |0.34 |0.583 |
|goats_02 |0.26 |0.583 |
|goats_03 |0.28 |0.583 |
|goats_04 |0.3 |0.583 |
|goats_05 |1 |0.583 |
|goats_06 |0 |0.583 |
|chicken_01|1 |0.165 |
|chicken_02|1 |0.108 |
| **Option** | **Details** |
| :--------: | :---------- |
| Code | Livestock subgroup category code. |
| Xhousing | Fraction of time that animals spend in housing [0 : 1]. |
| EF_nmvoc | NMVOC emission factor (in kg NMVOC·head-1). |
### NOx_NO emission factor file
```csv
Code,Nex,Xtan,Xhousing,Xyards,Xgraz,Xslurry,Xsolid,EF_hous_slurry,EF_hous_solid,EF_yard,f_imm,m_bedding_N,x_store_slurry,x_store_FYM,f_min,EF_storage_slurry_NO,EF_storage_solid_NO
cattle_01,16.1641165,0.6,0.28,0.28,0.44,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_02,31.40710359,0.6,0.5,0.5,0,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_03,20.47978098,0.6,0.15,0.15,0.71,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_04,36.41903162,0.6,0.5,0.5,0,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_05,57.5884268,0.6,0.18,0.18,0.64,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_06,57.10922647,0.6,0.14,0.14,0.71,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_07,71.72764552,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_08,50.65596814,0.6,0.34,0.34,0.31,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_09,54.03423295,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
cattle_10,110.5137624,0.6,0.5,0.5,0,0.505,0.495,0.13,0.19,0.3,0.0067,6,0.4859,0.4952,0.1,1.00E-04,0.01
cattle_11,60.42685066,0.6,0,0,1,0.965,0.035,0.2,0.19,0.53,0.0067,2,0.03,0.9458,0.1,1.00E-04,0.01
pigs_01,3.566252147,0.62,1,0,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,1.00E-04,0.01
pigs_02,9.207779901,0.62,1,0,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,1.00E-04,0.01
pigs_03,11.1936769,0.67,1,0,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,1.00E-04,0.01
pigs_04,12.17544026,0.67,1,0,0,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,1.00E-04,0.01
pigs_05,16.01878309,0.67,0.46,0,0.54,0.99,0.01,0.28,0.27,0.53,0.0067,0.8,0.88,0,0.1,1.00E-04,0.01
pigs_06,22.38474672,0.67,0.46,0,0.54,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,1.00E-04,0.01
pigs_07,14.24117624,0.7,0.86,0,0.14,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,1.00E-04,0.01
pigs_08,14.6490988,0.7,0.91,0,0.09,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,1.00E-04,0.01
pigs_09,16.50105376,0.7,0.89,0,0.11,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,1.00E-04,0.01
pigs_10,31.42748249,0.63,0.82,0,0.18,0.99,0.01,0.22,0.25,0.53,0.0067,2.4,0.88,0,0.1,1.00E-04,0.01
sheep_01,1.358160084,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_02,9.044422685,0.5,0.1,0.1,0.81,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_03,8.893766298,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_04,7.543752839,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_06,7.543752839,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_05,6.286804703,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
sheep_07,6.286804703,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,1.1,0,0.01
goats_01,2.450345327,0.5,0.17,0.17,0.67,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
goats_02,9.026694389,0.5,0.13,0.13,0.74,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
goats_03,7.22996897,0.5,0.14,0.14,0.71,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
goats_04,7.787087332,0.5,0.15,0.15,0.7,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
goats_05,10.26526951,0.5,0.5,0.5,0,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
goats_06,10.26526951,0.5,0,0,1,0,1,0,0.22,0.75,0.0067,0.08,0,0.9,0.1,0,0.01
chicken_01,0.571232374,0.7,1,0,0,0.628,0.372,0.41,0.41,0,0.0067,0,0.7,0.3,0.1,1.00E-04,0.01
chicken_02,0.717547343,0.7,1,0,0,0,1,0,0.28,0,0.0067,0,0,1,0.1,0,0.01
```
|Code |Nex|Xtan |Xhousing|Xyards|Xgraz|Xslurry|Xsolid|EF_hous_slurry|EF_hous_solid|EF_yard|f_imm |m_bedding_N|x_store_slurry|x_store_FYM|f_min|EF_storage_slurry_NO|EF_storage_solid_NO|
|--------------------------------|---|----------------------|--------|------|-----|-------|------|--------------|-------------|-------|------|-----------|--------------|-----------|-----|--------------------|-------------------|
|cattle_01 |16.1641165|0.6 |0.28 |0.28 |0.44 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_02 |31.40710359|0.6 |0.5 |0.5 |0 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_03 |20.47978098|0.6 |0.15 |0.15 |0.71 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_04 |36.41903162|0.6 |0.5 |0.5 |0 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_05 |57.5884268|0.6 |0.18 |0.18 |0.64 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_06 |57.10922647|0.6 |0.14 |0.14 |0.71 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_07 |71.72764552|0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_08 |50.65596814|0.6 |0.34 |0.34 |0.31 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_09 |54.03423295|0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|cattle_10 |110.5137624|0.6 |0.5 |0.5 |0 |0.505 |0.495 |0.13 |0.19 |0.3 |0.0067|6 |0.4859 |0.4952 |0.1 |1.00E-04 |0.01 |
|cattle_11 |60.42685066|0.6 |0 |0 |1 |0.965 |0.035 |0.2 |0.19 |0.53 |0.0067|2 |0.03 |0.9458 |0.1 |1.00E-04 |0.01 |
|pigs_01 |3.566252147|0.62 |1 |0 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_02 |9.207779901|0.62 |1 |0 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_03 |11.1936769|0.67 |1 |0 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_04 |12.17544026|0.67 |1 |0 |0 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_05 |16.01878309|0.67 |0.46 |0 |0.54 |0.99 |0.01 |0.28 |0.27 |0.53 |0.0067|0.8 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_06 |22.38474672|0.67 |0.46 |0 |0.54 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_07 |14.24117624|0.7 |0.86 |0 |0.14 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_08 |14.6490988|0.7 |0.91 |0 |0.09 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_09 |16.50105376|0.7 |0.89 |0 |0.11 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|pigs_10 |31.42748249|0.63 |0.82 |0 |0.18 |0.99 |0.01 |0.22 |0.25 |0.53 |0.0067|2.4 |0.88 |0 |0.1 |1.00E-04 |0.01 |
|sheep_01 |1.358160084|0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_02 |9.044422685|0.5 |0.1 |0.1 |0.81 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_03 |8.893766298|0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_04 |7.543752839|0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_06 |7.543752839|0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_05 |6.286804703|0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|sheep_07 |6.286804703|0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |1.1 |0 |0.01 |
|goats_01 |2.450345327|0.5 |0.17 |0.17 |0.67 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|goats_02 |9.026694389|0.5 |0.13 |0.13 |0.74 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|goats_03 |7.22996897|0.5 |0.14 |0.14 |0.71 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|goats_04 |7.787087332|0.5 |0.15 |0.15 |0.7 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|goats_05 |10.26526951|0.5 |0.5 |0.5 |0 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|goats_06 |10.26526951|0.5 |0 |0 |1 |0 |1 |0 |0.22 |0.75 |0.0067|0.08 |0 |0.9 |0.1 |0 |0.01 |
|chicken_01 |0.571232374|0.7 |1 |0 |0 |0.628 |0.372 |0.41 |0.41 |0 |0.0067|0 |0.7 |0.3 |0.1 |1.00E-04 |0.01 |
|chicken_02 |0.717547343|0.7 |1 |0 |0 |0 |1 |0 |0.28 |0 |0.0067|0 |0 |1 |0.1 |0 |0.01 |
| **Option** | **Details** |
| :--------: | :---------- |
| Code | Livestock subgroup category code. |
| Nex | Nitrogen (N) excretion rate for livestock l ( in kg·N head-1). |
| Xtan | Fraction of total ammoniacal nitrogen (TAN) content of the excreta [0 : 1]. |
| Xhousing | Fraction of total excreta occurring during housing [0 : 1]. |
| Xyards | Fraction of total excreta occurring during yarding [0 : 1]. |
| Xgraz | Fraction of total excreta occurring during grazing [0 : 1]. |
| Xslurry | Fraction of housing excreta managed as slurry [0 : 1]. |
| Xsolid | Fraction of housing excreta managed as solid [0 : 1]. |
| EF_hous_slurry | Emission factor associated to housing (slurry) excreta (in kg NH3-N·kg N-1). |
| EF_hous_solid | Emission factor associated to housing (solid) excreta (in kg NH3-N·kg N-1). |
| EF_yard | Emission factor associated to yarding (in kg NH3-N·kg N-1). |
| f_imm | Fraction of TAN that is immobilised in organic matter (in kg N·kg straw-1). Assuming 0.0067 by default. |
| m_bedding_N | Nitrogen added in animal bedding ( in kg·N head-1). |
| x_store_slurry | Fraction of storage excreta managed as slurry [0 : 1]. |
| x_store_FYM | Fraction of storage excreta managed as solid [0 : 1]. |
| f_min | Fraction of the organic N that is mineralised [0 : 1]. Assuming 0.1 by default. |
| EF_storage_slurry_NO | Emission factor associated to storage (slurry) excreta (in kg NOx-N·kg N-1). |
| EF_storage_solid_NO | Emission factor associated to storage (solid) excreta (in kg NOx-N·kg N-1). |
### PM emission factor file
```csv
"Code","Xhousing","EF_pm10","EF_pm25"
cattle_01,0.56,0.16,0.1
cattle_02,1,0.16,0.1
cattle_03,0.3,0.16,0.1
cattle_04,1,0.27,0.18
cattle_05,0.36,0.27,0.18
cattle_06,0.28,0.27,0.18
cattle_07,0,0.27,0.18
cattle_08,0.68,0.27,0.18
cattle_09,0,0.27,0.18
cattle_10,1,0.63,0.41
cattle_11,0,0.27,0.18
pigs_01,1,0.05,0.002
pigs_02,1,0.05,0.002
pigs_03,1,0.14,0.006
pigs_04,1,0.14,0.006
pigs_05,0.46,0.14,0.006
pigs_06,0.46,0.05,0.002
pigs_07,0.86,0.17,0.01
pigs_08,0.91,0.17,0.01
pigs_09,0.89,0.17,0.01
pigs_10,0.82,0.17,0.01
sheep_01,1,0.06,0.02
sheep_02,0.2,0.06,0.02
sheep_03,0,0.06,0.02
sheep_04,1,0.06,0.02
sheep_06,1,0.06,0.02
sheep_05,0,0.06,0.02
sheep_07,0,0.06,0.02
goats_01,0.34,0.06,0.02
goats_02,0.26,0.06,0.02
goats_03,0.28,0.06,0.02
goats_04,0.3,0.06,0.02
goats_05,1,0.06,0.02
goats_06,0,0.06,0.02
chicken_01,1,0.04,0.003
chicken_02,1,0.02,0.002
```
|Code |Xhousing|EF_pm10 |EF_pm25|
|--------------------------------|--------|----------------------|-------|
|cattle_01 |0.56 |0.16 |0.1 |
|cattle_02 |1 |0.16 |0.1 |
|cattle_03 |0.3 |0.16 |0.1 |
|cattle_04 |1 |0.27 |0.18 |
|cattle_05 |0.36 |0.27 |0.18 |
|cattle_06 |0.28 |0.27 |0.18 |
|cattle_07 |0 |0.27 |0.18 |
|cattle_08 |0.68 |0.27 |0.18 |
|cattle_09 |0 |0.27 |0.18 |
|cattle_10 |1 |0.63 |0.41 |
|cattle_11 |0 |0.27 |0.18 |
|pigs_01 |1 |0.05 |0.002 |
|pigs_02 |1 |0.05 |0.002 |
|pigs_03 |1 |0.14 |0.006 |
|pigs_04 |1 |0.14 |0.006 |
|pigs_05 |0.46 |0.14 |0.006 |
|pigs_06 |0.46 |0.05 |0.002 |
|pigs_07 |0.86 |0.17 |0.01 |
|pigs_08 |0.91 |0.17 |0.01 |
|pigs_09 |0.89 |0.17 |0.01 |
|pigs_10 |0.82 |0.17 |0.01 |
|sheep_01 |1 |0.06 |0.02 |
|sheep_02 |0.2 |0.06 |0.02 |
|sheep_03 |0 |0.06 |0.02 |
|sheep_04 |1 |0.06 |0.02 |
|sheep_06 |1 |0.06 |0.02 |
|sheep_05 |0 |0.06 |0.02 |
|sheep_07 |0 |0.06 |0.02 |
|goats_01 |0.34 |0.06 |0.02 |
|goats_02 |0.26 |0.06 |0.02 |
|goats_03 |0.28 |0.06 |0.02 |
|goats_04 |0.3 |0.06 |0.02 |
|goats_05 |1 |0.06 |0.02 |
|goats_06 |0 |0.06 |0.02 |
|chicken_01 |1 |0.04 |0.003 |
|chicken_02 |1 |0.02 |0.002 |
| **Option** | **Details** |
| :--------: | :---------- |
| Code | Livestock subgroup category code. |
| Xhousing | Fraction of time that animals spend in housing [0 : 1]. |
| EF_pm10 | PM10 emission factor (in kg·head-1). |
| EF_pm25 | PM2.5 emission factor (in kg·head-1). |
### Temporal monthly profiles
The example below shows the monthly factors CSV file used for Spain. The monthly factors only apply to PM and NMVOC emissions. NH3 and NOx emissions are directly distributed at the daily level using meteorological-dependent parametrisations.
For each profile, the sum of all factors has to be equal to 1.
```csv
P_month,January,February,March,April,May,June,July,August,September,October,November,December
pm10,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333
pm25,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333
nmvoc,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333
pmc,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333,0.083333333
```
|P_month|January |February |March |April |May |June |July |August |September |October |November |December |
|-------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
|pm10 |0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|
|pm25 |0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|
|nmvoc |0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|
|pmc |0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|0.083333333|
| **Option** | **Details** |
| :--------: | :---------- |
| P_month | Pollutant name. Monthly profiles are associated to a pollutant. |
| January | Monthly factor for January [0 : 1] |
| February | Monthly factor for February [0 : 1] |
| March | Monthly factor for March [0 : 1] |
| April | Monthly factor for April [0 : 1] |
| May | Monthly factor for May [0 : 1] |
| June | Monthly factor for June [0 : 1] |
| July | Monthly factor for July [0 : 1] |
| August | Monthly factor for August [0 : 1] |
| September | Monthly factor for September [0 : 1] |
| October | Monthly factor for October [0 : 1] |
| November | Monthly factor for November [0 : 1] |
| December | Monthly factor for December [0 : 1] |
### Temporal weekly profiles
The example below shows the weekly temporal profile CSV file used for Spain.
For each profile, the sum of all factors has to be equal to 7. HERMESv3_BU includes a internal reweighting function to calculate the daily weight factor for each specific day of the month.
The monthly factors only apply to PM and NMVOC emissions. NH3 and NOx emissions are directly distributed at the daily level using meteorological-dependent parametrisations.
```csv
P_week,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday,Sunday
pm10,1,1,1,1,1,1,1
pm25,1,1,1,1,1,1,1
nmvoc,1,1,1,1,1,1,1
pmc,1,1,1,1,1,1,1
```
| **Option** | **Details** |
| :--------: | :---------- |
| P_week | Pollutant name. Monthly profiles are associated to a pollutant. |
| Monday | Weekly weight factor for Monday [0 : 7].|
| Tuesday | Weekly weight factor for Tuesday [0 : 7].|
| Wednesday | Weekly weight factor for Wednesday [0 : 7].|
| Thursday | Weekly weight factor for Thursday [0 : 7].|
| Friday | Weekly weight factor for Friday [0 : 7].|
| Saturday | Weekly weight factor for Saturday [0 : 7].|
| Sunday | Weekly weight factor for Sunday [0 : 7].|
### Temporal hourly profiles
The example below displays the first few lines of the hourly temporal profile CSV file used for Spain.
For each profile, the sum of all factors has to be equal to 1. The profiles should be reported according to local time.
```csv
P_hour,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23
nh3,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
pm10,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
pm25,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
nmvoc,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
pmc,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
nox_no,0.025,0.025,0.025,0.025,0.025,0.027083333,0.03125,0.0375,0.045833333,0.05625,0.060416667,0.066666667,0.06875,0.072916667,0.070833333,0.064583333,0.05625,0.045833333,0.0375,0.03125,0.027083333,0.025,0.025,0.025
```
| **Option** | **Details** |
| :--------: | :---------- |
| P_hour | Pollutant name. Monthly profiles are associated to a pollutant. || 0 | Hourly weight factor for hour 00:00. [0 : 1] |
| 1 | Hourly weight factor for hour 01:00. [0 : 1] |
| 2 | Hourly weight factor for hour 02:00. [0 : 1] |
| 3 | Hourly weight factor for hour 03:00. [0 : 1] |
| 4 | Hourly weight factor for hour 04:00. [0 : 1] |
| 5 | Hourly weight factor for hour 05:00. [0 : 1] |
| 6 | Hourly weight factor for hour 06:00. [0 : 1] |
| 7 | Hourly weight factor for hour 07:00. [0 : 1] |
| 8 | Hourly weight factor for hour 08:00. [0 : 1] |
| 9 | Hourly weight factor for hour 09:00. [0 : 1] |
| 10 | Hourly weight factor for hour 10:00. [0 : 1] |
| 11 | Hourly weight factor for hour 11:00. [0 : 1] |
| 12 | Hourly weight factor for hour 12:00. [0 : 1] |
| 13 | Hourly weight factor for hour 13:00. [0 : 1] |
| 14 | Hourly weight factor for hour 14:00. [0 : 1] |
| 15 | Hourly weight factor for hour 15:00. [0 : 1] |
| 16 | Hourly weight factor for hour 16:00. [0 : 1] |
| 17 | Hourly weight factor for hour 17:00. [0 : 1] |
| 18 | Hourly weight factor for hour 18:00. [0 : 1] |
| 19 | Hourly weight factor for hour 19:00. [0 : 1] |
| 20 | Hourly weight factor for hour 20:00. [0 : 1] |
| 21 | Hourly weight factor for hour 21:00. [0 : 1] |
| 22 | Hourly weight factor for hour 22:00. [0 : 1] |
| 23 | Hourly weight factor for hour 23:00. [0 : 1] |
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