Wiki source code of 5.11 Concentration of particulate matter at respiration height along roads
Version 2.1 by Emily West on 2022/01/19 09:54
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2.1 | 1 | = 5.11 Concentration of particulate matter at respiration height along roads = |
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| 3 | Project Names: URBAN GreenUP and UNaLab | ||
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| 5 | (% class="table-bordered" %) | ||
| 6 | |=(% style="width: 237px;" %)Pillar of Sustainable Development|=(% style="width: 646px;" %)Societal challenge | ||
| 7 | |(% style="width:237px" %)Planet|(% style="width:646px" %)5 - Air Quality | ||
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| 9 | (% class="table-bordered" %) | ||
| 10 | |(% style="width:211px" %)((( | ||
| 11 | ====== **Description** ====== | ||
| 12 | )))|(% style="width:730px" %)The concentration of PM2.5 and PM10, respectively, per cubic metre of air (units µg m-3) at a measuring height of 1.5 m above the ground surface to represent the air quality experienced by bicyclists and pedestrians. | ||
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| 14 | ====== **Scale as linked to D2.2 framework** ====== | ||
| 15 | )))|(% style="width:730px" %)((( | ||
| 16 | * Neighborhood | ||
| 17 | * Street | ||
| 18 | * Household | ||
| 19 | * Object | ||
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| 21 | |(% style="width:211px" %)((( | ||
| 22 | ====== **Data source [ link to data framework]** ====== | ||
| 23 | )))|(% style="width:730px" %)((( | ||
| 24 | * portable photometric sampler | ||
| 25 | ))) | ||
| 26 | |(% style="width:211px" %)((( | ||
| 27 | ====== **Data needs** ====== | ||
| 28 | )))|(% style="width:730px" %)((( | ||
| 29 | * Atmospheric PM2.5 and PM10 concentration data (in µg m-3) obtained at a height of 1.5 m above ground level using (a) portable monitoring device(s). | ||
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| 32 | ====== **Expected Outputs** ====== | ||
| 33 | )))|(% style="width:730px" %)((( | ||
| 34 | * each pre determined sampling location at a study site should be repeat sampled every 4 weeks for one year pre intervention, and for at least two years following intervention. | ||
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| 37 | ====== **Calculation methods** ====== | ||
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| 39 | * Measure air concentrations of PM2.5 and PM10 at defined sampling points at a height of 1.5 m above ground level and a range of linear distances from NBS street tree/green wall locations, both pre- and post-intervention. Compare these data to measurements taken at analogous locations on equivalent stretches of road without street-side NBS at similar times of day on the same dates. | ||
| 40 | * A portable photometric sampler designed to measure ambient PM2.5 and PM10 concentrations can be used to gather data on a non-continuous basis, i.e., during planned field monitoring campaigns. Data can be collected and stored on the device, then can be downloaded later to a PC. Compare the particulate matter (PM2.5 and PM10) values qualitatively and quantitatively for the periods before and after the interventions in the NBS and reference sections. Quantitatively assess using the following expression: | ||
| 41 | * [[image:1642585934137-616.png]] | ||
| 42 | * PM impact can be calculated both for PM2,5 and PM10. Positive or null PM impact values indicates negative or no impact of the NBS on PM concentration for that implementation. Negative values indicates a positive impact of that NBS on PM concentration. | ||
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| 45 | ====== **Links and references** ====== | ||
| 46 | )))|(% style="width:730px" %)((( | ||
| 47 | * URBAN GreenUP Deliverable D2.4 - Monitoring program to Valladolid. https:~/~/www.urbangreenup.eu/insights/deliverables/d2-4~-~-- monitoring-program-to-valladolid.kl | ||
| 48 | * URBAN GreenUP Deliverable D3.4 - Monitoring program to Liverpool https:~/~/www.urbangreenup.eu/insights/deliverables/d3-4~-~-- monitoring-program-to-liverpool.kl | ||
| 49 | * URBAN GreenUP Deliverable D4.4 – Monitoring program to Izmir https:~/~/www.urbangreenup.eu/insights/deliverables/d4-4~-~- monitoring-program-to-izmir.kl | ||
| 50 | * URBAN GreenUP Deliverable D5.3: City Diagnosis and Monitoring Procedures https:~/~/www.urbangreenup.eu/insights/deliverables/d5-3- city-diagnosis-and-monitoring-procedures.kl | ||
| 51 | * Air Pollution in the UK 2015. https:~/~/uk air.defra.gov.uk/library/annualreport/index | ||
| 52 | * Bottalico, F., Chirici, G., Giannetti, F., De Marco, A., Nocentini, S., Paoletti, E., Salbitano, F., Sanesi, G., Serenelli, C., Travaglini, D., 2016. Air pollution removal by green infrastructures and urban forests in the city of Florence. Agric. Agric. Sci. Procedia 8, 243–251. doi:10.1016/j.aaspro.2016.02.099. | ||
| 53 | * Mullaney, J., Lucke, T., Trueman, S.J., 2015. A review of benefits and challenges in growing street trees in paved urban environments. Landscape Urban Plan. 134, 157–166. doi:10.1016/j.landurbplan.2014.10.013. | ||
| 54 | * Baró, F., Haase, D., Gómez-Baggethun, E., Frantzeskaki, N., 2015. Mismatches between ecosystem services supply and demand in urban areas: A quantitative assessment in five European cities. Ecol. Indic. 55, 146–158. doi:10.1016/j.ecolind.2015.03.013. | ||
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| 61 | (% class="active" %)|(% style="width:68px" %)**0.1**|(% style="width:179px" %)Emily (EcoWise)|(% style="width:112px" %)19/01/2022|(% style="width:636px" %)Factsheet created | ||
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