A Study on the Design Method of Indoor Fine Particulate Matter (PM2.5) Pollution Control in China
Qingqin Wang,
Dongye Fan,
Li Zhao and
Weiwei Wu
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Qingqin Wang: China Academy of Building Research, Beijing 100013, China
Dongye Fan: China Academy of Building Research, Beijing 100013, China
Li Zhao: China Academy of Building Research, Beijing 100013, China
Weiwei Wu: China Academy of Building Research, Beijing 100013, China
IJERPH, 2019, vol. 16, issue 23, 1-18
Abstract:
Airborne fine particulate matter (PM2.5) is an important factor affecting indoor air quality and is significantly related to human health. A lot of research has been done on PM2.5 pollution control in buildings, but there is lack of systematic indoor PM2.5 pollution control for engineering applications. In this study, first, we propose an outdoor calculated concentration of PM2.5 in 74 cities, in China, using the “not guaranteed for five days” method, which is based on outdoor PM2.5 concentration monitoring data from 2016 to 2018. Then, different levels of indoor calculated concentrations of PM2.5 (25 μg/m 3 , 35 μg/m 3 , and 75 μg/m 3 ) are put forward. Secondly, methods for selecting air purification equipment in centralized, semi-centralized, and decentralized air conditioning systems are proposed. Finally, PM2.5 pollution control measures and system energy-saving operation strategies in buildings are put forward. This study stipulates the calculation of PM2.5 concentration, unifies design methods, proposes control measures, and standardizes operations management. The aim of this study is to provide technical guidance for engineering design, construction and operation, and therefore to reduce the risk of indoor diseases caused by exposure to PM2.5.
Keywords: fine particulate matter; design method; equipment selection; pollution control measures (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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