A Methodology for Designing Short-Term Stationary Air Quality Campaigns with Mobile Laboratories Using Different Possible Allocation Criteria
Samuele Marinello,
Massimo Andretta,
Patrizia Lucialli,
Elisa Pollini and
Serena Righi
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Samuele Marinello: En&TechInterdipartmental Center, University of Modena and Reggio Emilia, Piazzale Europa 1, 42100 Reggio Emilia, Italy
Massimo Andretta: Department of Biological, Geological, and Environmental Sciences, Alma Mater Studiorum—Università di Bologna, Piazza di Porta S. Donato, 1, 40126 Bologna, Italy
Patrizia Lucialli: Arpae (Regional Agency for Prevention, Environment and Energy of Emilia-Romagna), Department of Ravenna, via Alberoni 17/19, 48100 Ravenna, Italy
Elisa Pollini: Arpae (Regional Agency for Prevention, Environment and Energy of Emilia-Romagna), Department of Ravenna, via Alberoni 17/19, 48100 Ravenna, Italy
Serena Righi: CIRSA (Inter-Departmental Research Centre for Environmental Science), Alma Mater Studiorum—Università di Bologna, via dell’Agricoltura 5, 48123 Ravenna, Italy
Sustainability, 2021, vol. 13, issue 13, 1-20
Abstract:
Air quality monitoring and control are key issues for environmental assessment and management in order to protect public health and the environment. Local and central authorities have developed strategies and tools to manage environmental protection, which, for air quality, consist of monitoring networks with fixed and portable instrumentation and mathematical models. This study develops a methodology for designing short-term air quality campaigns with mobile laboratories (laboratories fully housed within or transported by a vehicle and maintained in a fixed location for a period of time) as a decision support system for environmental management and protection authorities. In particular, the study provides a methodology to identify: (i) the most representative locations to place mobile laboratories and (ii) the best time period to carry out the measurements in the case of short-term air quality campaigns. The approach integrates atmospheric dispersion models and allocation algorithms specifically developed for optimizing the measuring campaigns. The methodology is organized in two phases, each of them divided into several steps. Fourteen allocation algorithms dedicated to three type of receptors (population, vegetation and physical cultural heritage) have been proposed. The methodology has been applied to four short-term air quality campaigns in the Emilia-Romagna region.
Keywords: design mobile laboratory campaign; air pollution concentration; population exposure to air pollutant (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:13:p:7481-:d:588613
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