Low-cost air quality stations can provide useful data that can offer a complete picture of urban air quality dynamics, especially when integrated with daily measurements from reference air quality stations. However, the success of such deployment depends on the measurement accuracy and the capability of resolving spatial and temporal gradients within a spatial domain. In this work, an ensemble of three low-cost stations named "AirQino" was deployed to monitor particulate matter (PM) concentrations over three different sites in an area affected by poor air quality conditions. Data of PM2.5 and PM10 concentrations were collected for about two years following a protocol based on field calibration and validation with a reference station. Results indicated that: (i) AirQino station measurements were accurate and stable during co-location periods over time (R-2 = 0.5-0.83 and RMSE = 6.4-11.2 mu g m(-3); valid data: 87.7-95.7%), resolving current spatial and temporal gradients; (ii) spatial variability of anthropogenic emissions was mainly due to extensive use of wood for household heating; (iii) the high temporal resolution made it possible to detect time occurrence and strength of PM10 concentration peaks; (iv) the number of episodes above the 1-h threshold of 90 mu g m(-3) and their persistence were higher under urban and industrial sites compared to the rural area.

Low-Cost Air Quality Stations' Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment / Brilli, L; Carotenuto, F; Andreini, BP; Cavaliere, A; Esposito, A; Gioli, B; Martelli, F; Stefanelli, M; Vagnoli, C; Venturi, S; Zaldei, A; Gualtieri, G. - In: ATMOSPHERE. - ISSN 2073-4433. - ELETTRONICO. - 12:(2021), pp. 0-0. [10.3390/atmos12081065]

Low-Cost Air Quality Stations' Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment

Venturi, S;
2021

Abstract

Low-cost air quality stations can provide useful data that can offer a complete picture of urban air quality dynamics, especially when integrated with daily measurements from reference air quality stations. However, the success of such deployment depends on the measurement accuracy and the capability of resolving spatial and temporal gradients within a spatial domain. In this work, an ensemble of three low-cost stations named "AirQino" was deployed to monitor particulate matter (PM) concentrations over three different sites in an area affected by poor air quality conditions. Data of PM2.5 and PM10 concentrations were collected for about two years following a protocol based on field calibration and validation with a reference station. Results indicated that: (i) AirQino station measurements were accurate and stable during co-location periods over time (R-2 = 0.5-0.83 and RMSE = 6.4-11.2 mu g m(-3); valid data: 87.7-95.7%), resolving current spatial and temporal gradients; (ii) spatial variability of anthropogenic emissions was mainly due to extensive use of wood for household heating; (iii) the high temporal resolution made it possible to detect time occurrence and strength of PM10 concentration peaks; (iv) the number of episodes above the 1-h threshold of 90 mu g m(-3) and their persistence were higher under urban and industrial sites compared to the rural area.
2021
12
0
0
Goal 11: Sustainable cities and communities
Brilli, L; Carotenuto, F; Andreini, BP; Cavaliere, A; Esposito, A; Gioli, B; Martelli, F; Stefanelli, M; Vagnoli, C; Venturi, S; Zaldei, A; Gualtieri,...espandi
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1330552
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 6
social impact