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Layer: 2022 (1)

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• Totals Grid
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Layer: Emission Totals (2)

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Sub Layers:
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• PM2.5 (t/yr)
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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

Service Item Id: e6b8c52f8d194449a5adcbc962b50bea

Copyright Text: Emission data and shpae dataset were created by NILU - Norwegian Institute for Air Research for EAD

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Layer: PM2.5 (t/yr) (4)

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Layer: PM10 (t/yr) (6)

Parent Layer: Emission Totals

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Layer: NOx (t/yr) (7)

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Description: This layer represents the Total Emissions recorded in Abu Dhabi Emirate for the year 2022. Emissions were allocated to a standardised 1km by 1km grid across Abu Dhabi. This allows aggregation of emissions across sectors to give total emissions per grid cell. The emissions assigned to each grid cell represent the sum of the emissions from the points, lines or polygons falling within that grid cell. For line and polygon sources, where the line or polygon is shared across 2 or more grid cells, each grid cell is assigned a share of the emissions from the source feature corresponding to the proportion of the length/area of the line/polygon falling in each grid cell.

Copyright Text: Created by Environment Agency - Abu Dhabi. Emissions data and spatial data underlying the maps were calculated using data from a variety of sources, but primarily from Abu Dhabi government ministries (Departments of energy, Department of economic development, Department of agriculture and food safety, Abu Dhabi Statistics Centre – SCAD, and others) and specifically designed questionnaires sent to key energy, transport and industrial operators

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Layer: 2018 (10)

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• Emission Shipping
• Emission Service Stations
• Emission Agriculture
• Emission Livestock
• Emission Electricity
• Emission Oil and GAS
• Emission Road Transport
• Emission Industry
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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Layer: PM10 (t/yr) (14)

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayThis grid dataset has resolution 1x1km, with dimensions [X;Y]= [470km ; 345km]. The grid was defined to cover all the emission sources, including both the inland and offshore parts of the EAD territory.The total emission amount from all emission sectors will be converted to the 1x1km grid

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Description: A detail description of emission inventory for Abu Dhabi Emirate is reported in López-Aparicio S., Thorne R.J., Bartonova A., Teixido O., Mohamed R. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayFor NOx, CO and SO2, emission data was obtained from each power plant operator by regular communication to EAD. Emissions are provided in quarterly reports that contain the results of the Continuous Emission Monitoring (CEM) system (or grab data) installed in each major emission source. Due to lack of other data, emissions for Mirfa Power Plant were sourced from SCAD (2016). NMVOC, PM2.5 and PM10 emissions were calculated according to the guidelines from EMEP/EEA (2016). Emissions are spatially distribute as point sources based on the geographical location of each power plant.

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Description: A detail description of emission inventory for Abu Dhabi Emirate is reported in López-Aparicio S., Thorne R.J., Bartonova A., Teixido O., Mohamed R. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayEmissions from industrial processing are calculated based on a bottom-up analysis. This sector includes emissions from any processes, as well as any fuel combusted, from industrial processing. The following sub-sectors are included; Asphalt; Cement and concrete; Iron and steel; Aluminium Production; Chemical Manufacturing; Fertilizers and Nitrogen Compounds – Organic; Fiberglass-reinforced Plastics Products Manufacturing; Paints, Inks and Varnishes; Plastic Products; Food Production; Paper and Pulp. A Tier 1 or 2 approach was taken to estimate emissions from each facility (depending on the quality of the information available) using EMEP/EEA (2016) guidelines. For each sub-sector, EMEP/EEA (2016) calculate process emissions and fuel combustion emissions separately. Emissions from industrial processing at each industry are spatially distributed as point sources and based on the geographical location of each industry provided in the questionnaires.

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Description: A detail description of emission inventory for Abu Dhabi Emirate is reported in López-Aparicio S., Thorne R.J., Bartonova A., Teixido O., Mohamed R. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayFugitive emissions at service stations were estimated based on the amount of fuel consumed in the transport sector according to SCAD. Emissions at service stations are distributed homogeneously in all service stations represented as point sources due to the lack of information regarding activity of individual stations.

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Description: A detail description of emission inventory for Abu Dhabi Emirate is reported in López-Aparicio S., Thorne R.J., Bartonova A., Teixido O., Mohamed R. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayEmissions associated with shipping activities at the ports in Abu Dhabi Emirate are estimated based on the method suggested by US EPA (2009), combined with the recommendations from EMEP/EEA (2016) and the methodology employed in the development of a bottom-up emission inventory for the Port of Oslo (López-Aparicio et al., 2017). The geographical information was proposed by NILU and accepted by EAD. The shipping emission was split under different mode of operations (cruising, maneuvering and berthing) for different ports.

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Description: Detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwayGIS shape for aviation sector was created based on Google Maps images. by NILUThe area for the emissions from aviation at the airports has been estimated based on a previous work carried out by NILU at Gardemoen airport (Oslo) where emissions were estimated and geographically distributed (Tønnesen et al., 2016). The distribution on the surface was estimated considering the altitude (approx.. 1000 m) and the angle for taking-off and for landing. Reference: Tønnesen, D., Hak, C., Lopez-Aparicio, S., Sousa Santos, G., Vogt, M., Berdal, M., & Lindholm, M. (2016). Luftkvalitetsberegninger for Oslo Lufthavn (NILU rapport, 33/2016). Kjeller: NILU

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, NorwaySatellite derived habitat mapping of Land Use categories. Input satellite imagery was Digital Globe WorldView-2, 8-band, 2 metre multi-spectral, 0.5 metre panchromatic. The imagery was acquired between 07/10/2011 and 20/05/2014. Automated and semi-automated image processing techniques were used, along with cartographic generalisation principles and local ground truthing and ecological knowledge. 11 Land Use categories are depicted. Within the terrestrial classification Minimum Mapping Units (MMUs) varied from 1 hectare to 25 hectares. The area of each feature is provided in hectares and kilometres squared. Areas were calculated using UTM39N and UTM40N. This data should always be used in conjunction with the Habitat, Land Use and Land Cover Delineation Project 2014 Classification Manual. The Land Use classification was based on the The Land Use Land Cover Scheme for Abu Dhabi Emirate(EAD, 2009).

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Description: A detail descriptions of emission inventory for Abu Dhabi Emirate was reported in López-Aparicio S., Thorne R.J., Teixido O., Bartonova A. (2018) Air Pollutants Emissions Inventory, Abu Dhabi Emirate 2015. NILU OR (08/2018), Kjeller, Norway.Satellite derived habitat mapping of terrestrial areas. Input satellite imagery was Digital Globe WorldView-2, 8-band, 2 metre multi-spectral, 0.5 metre panchromatic. The imagery was acquired between 07/10/2011 and 20/05/2014. Automated and semi-automated image processing techniques were used, along with cartographic generalisation principles and local ground truthing and ecological knowledge. 41 terrestrial habitats are depicted. Within the terrestrial classification Minimum Mapping Units (MMUs) varied from 1 hectare to 25 hectares. The area of each feature is provided in hectares and kilometres squared. Areas were calculated using UTM39N and UTM40N. This data should always be used in conjunction with the Habitat, Land Use and Land Cover Delineation Project 2014 Classification Manual. The terrestrial habitat classification was based on the Major Terrestrial Natural and Semi-Natural Habitat Types of Abu Dhabi Emirate, Brown and Boer (2004).

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