| gml:id |
GB_ModelProcess_376 |
| ompr:type |
Ambient air quality model configuration |
| ef:mediaMonitored |
A multiple regression approach based on research on combining concentrations arising from area (GIS-based dispersion kernel approach) and industrial sources (estimated using a separate dispersion model) undertaken for the Environment Agency (Abbott and Vincent, 2006) is applied. 99.73 percentile concentrations correspond to the number of allowed exceedances of the 1-hour limit value. An alternative method is used to derive the high percentile concentrations in Northern Ireland. This is required because area sources, predominately emissions from domestic solid and liquid fuel use, make a more significant contribution to observed high percentile concentrations in Northern Ireland than in the rest of the United Kingdom. Additionally, the smaller number of point sources in Northern Ireland means that these sources make a much smaller contribution to the observed high percentile concentrations. Maps of high percentile concentrations in Northern Ireland have been calculated from the mapped annual mean SO2 concentrations using a linear least squares fit between measured annual mean and measured high percentile concentrations in Northern Ireland. |
| ef:responsibleParty/base2:organisationName |
http://dd.eionet.europa.eu/vocabulary/uom/time/hour |
| ef:responsibleParty/base2:electronicMailAddress |
8760 |
| ompr:documentation |
| base2:name |
Technical report on UK supplementary assessment under The Air Quality Standards Regulations 2010 (as amended) for 2021 |
| base2:link |
https://uk-air.defra.gov.uk/library/reports?report_id=1086 |
| gco:Date |
2023-12-31 |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/processparameter/AssessmentType |
| ompr:description |
The assessment method type associated with the observations provided in the E1b data flow |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/processparameter/modelidentifier |
| ompr:description |
The localId of the model used to generate the predicted observations in data flow E1b |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/modelparameter/emissions |
| ompr:description |
The emissions inventory used to configure the model including as appropriate the year, version and summary of post processing required |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/modelparameter/meteorology |
| ompr:description |
A description of the meteorological dataset used to configure the model including name, year, version and citation (as appropriate) |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/modelparameter/chemistry |
| ompr:description |
A high level description or citation of the chemical scheme applied to within the model |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/modelparameter/scaling |
| ompr:description |
Description of empirical scaling factors applied as part of the model e.g. scaling factors to derive short-term exceedance statistics from long-term means. |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/processparameter/resultlocation |
| ompr:description |
A description of the generic encoding type for the results |
|
| ompr:ProcessParameter |
| ompr:name |
http://dd.eionet.europa.eu/vocabulary/aq/processparameter/resultformat |
| ompr:description |
A description of the detailed encoding format for the results |
|
| aqd:description |
A multiple regression approach based on research on combining concentrations arising from area (GIS-based dispersion kernel approach) and industrial sources (estimated using a separate dispersion model) undertaken for the Environment Agency (Abbott and Vincent, 2006) is applied. 99.73 percentile concentrations correspond to the number of allowed exceedances of the 1-hour limit value. An alternative method is used to derive the high percentile concentrations in Northern Ireland. This is required because area sources, predominately emissions from domestic solid and liquid fuel use, make a more significant contribution to observed high percentile concentrations in Northern Ireland than in the rest of the United Kingdom. Additionally, the smaller number of point sources in Northern Ireland means that these sources make a much smaller contribution to the observed high percentile concentrations. Maps of high percentile concentrations in Northern Ireland have been calculated from the mapped annual mean SO2 concentrations using a linear least squares fit between measured annual mean and measured high percentile concentrations in Northern Ireland. |
| aqd:temporalResolution |
|
| aqd:spatialResolution |
1x1km background concentrations |
| aqd:dataQualityDescription |
The AQSR adopts data quality objectives (DQOs) for modelling uncertainty set by the AQD, within supplementary assessment under the AQD. The AQSR adopts DQOs in terms of uncertainty set by the AQDD4, which acts as a guide for quality assurance programmes when identifying an acceptable level of uncertainty for assessment methods appropriate for supplementary assessment under the AQDD4. Uncertainty is defined in the AQD as the maximum deviation of the measured and calculated concentration levels for 90% of individual monitoring points over the period considered by the limit value (or target value), without taking into account the timing of events. The uncertainty of modelling should be interpreted as applicable in the region of the appropriate LV or TV. The fixed measurements that have been selected for comparison with the modelling results should be representative of the scale covered by the model. Final guidance clarifying the recommended methods for assessing model performance with respect to the DQOs has yet to be agreed. The comparisons with monitoring data presented in https://uk-air.defra.gov.uk/library/reports?report_id=1086 have therefore included data from all sites including those with measured values not in the vicinity of the LVs or TVs and a highly detailed assessment of the spatial representativity of the sites has not been carried out. |
| aqd:dataQualityReport |
https://uk-air.defra.gov.uk/library/reports?report_id=1116 |
