Reducing dust pollution in construction: state of the art and the way forward (2023)

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Cleaner Production Magazine

Volume 112, Part 2,

January 20, 2016

, pages 1658-1666

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(Video) The Amazing Science of… Dust?


Along with China's modern industrialization, the challenges posed by the smog crisis have increased dramatically over the past decade. Municipal pollution sources are diverse and complex, one of which is the emission of construction dust due to rapid urbanization. Studies on construction dust exhaust treatment can be found in the literature; However, very little research has been done from the perspective of dust mitigation in developing countries. To fill this research gap, this article examines the current status of construction dust prevention and control in China with the aim of providing information on how to mitigate dust pollution in the construction industry. Through a combination of content analysis, on-site observation, questionnaires and interviews with experienced professionals, a total of 11 relevant regulations are thoroughly reviewed and the main sources of construction dust production are identified. A case study is also presented to demonstrate existing dust control measures at the site. Recommendations are proposed to raise awareness among affected stakeholders, including the formulation of specific regulations, the establishment of an adequate billing system, the development of a viable monitoring system, and the improvement of training and outreach.


Air pollution has become a major global environmental problem, especially for developing countries with rapid economic development. In China, the air pollution situation is extremely serious (Jiang et al., 2013, Shi et al., 2014). According to the "Urban Outdoor Air Pollution Database" established by the World Health Organization (WHO), the average annual density of PM10 (that is, fine particles with a diameter of 10 μm or less) in China is 98 μg/m3in 2009, while the world average is 71 μg/m3(WHO, 2011). Since 2013, the area of ​​dense and dangerous haze has reached 1.4 million km2and affects the daily life of more than 800 million people (Finanças, 2013). Increased demand for energy and transportation is believed to lead to more severe air pollution in China (Liu et al., 2013). The adverse effects of air pollution are far-reaching, particularly on public health. Air pollution can cause a number of serious diseases, including respiratory, cardiovascular and cerebrovascular diseases and even lung cancer (Chen et al., 2013). Therefore, concerns have been raised about air pollution problems in various industrial sectors.

Particulate matter pollution is very high in China's megacities (Chan and Yao, 2008). Although the main sources of particulate matter pollution have been studied to be coal combustion, automobile emissions, and industrial dust (Xu et al., 2013), equal attention should be paid to particulate matter pollution in industry. of the construction. Regarding fine dust pollution in the construction industry, Zhang et al. (2013) stated that particulate matter is one of the main sources of emissions into the atmosphere during the life cycle of a building. More specifically, Yang et al. (2005) and Song et al. (2006) found that the calcium element in PM2.5 comes mainly from construction activities. According to Zhao et al. (2007) the average monthly contribution of construction dust to the total PM10 pollution in Beijing was around 10%. Many construction processes, such as drilling and grinding, can generate large amounts of particles that can be inhaled into the lungs, causing physical illness (eg, pneumoconiosis) and even social antagonism (ChinaLabourBulletin, 2009, Liang et al. ., 2003). As the amount of construction and demolition work increases, construction dust pollution is expected to become more serious in the future. Therefore, it is necessary and important to investigate what measures can reduce the exposure to construction dust.

However, existing research on reducing construction dust pollution is not sufficient; There are few studies on construction dust. The first study was carried out by Tharr and Lofgren (1993). In their research, case studies were used to investigate the silica exposure situation in concrete workers and masons. Likewise, Thorpe et al. (1999) evaluated three systems for reducing exposure to dust from saw blades through laboratory testing. In the same year, Chang et al. (1999) measured the rate of TSP (ie total suspended matter, refers to particles less than 100 microns in diameter) emission from road construction activities. Subsequently, Nlj et al. (2003) conducted an exposure study and questionnaire to examine the effectiveness of dust control measures in reducing exposure to silica dust and concluded that respiratory protection is the most commonly used protective measure in the construction industry. In China, Huang et al. (2007) studied the characteristics of construction dust generation at different stages of construction by monitoring dustfall and showed that the dust load is higher in the earthmoving stage than in the construction and decoration stage. , and pollution in spring is higher than in other seasons. Recent research on construction dust was published by Fan et al. (2012). They designed an experimental study to test the effectiveness of a dust control tool called DustBubble. The results showed that this tool can significantly reduce dust exposure; However, the evidence for reducing exposure to respirable quartz was weak.

Through the chronological search of the literature, it can be stated that the available studies focus mainly on exhaust treatment, which uses technological measures to treat construction dust. From a dust reduction perspective, e.g. B. on the use of management tools or measures to reduce construction dust, little research has been done. In order to fill this research gap and provide information on dust pollution abatement in the construction industry, this study examines the current status of construction dust abatement in China. The goal is to make an initial attempt to study management countermeasures to reduce construction dust. The three research objectives are as follows.

Generalization of the development of construction dust regulations in China.

Investigation of the main sources and corresponding countermeasures of dust pollution at the construction site.

Provide recommendations to reduce construction dust pollution at the municipal level.

The rest of this article is organized as follows: The methodology used in this study is presented in Section 2. Then, the results of the investigation, including the identification of relevant regulations, sources of dust generation, and countermeasures. on the site, and policy recommendations on the sites are discussed in Section 3. Finally, conclusions are presented in Section 4, highlighting key contributions and future research directions.

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The research methodology used in this study is a combination of content analysis, on-site observation, interviews with experienced professionals, questionnaire, and case study.

Content analysis was used to study the development of regulations to reduce exposure to construction dust in China. Related clauses in the identified regulations were manually retrieved for earlier analysis. In addition, in situ observations were made to explore the springs

Related Regulations in China

In recent decades, various regulations for the prevention and control of construction dust have entered into force. These regulations served as a guide to create a workable construction dust reduction plan. In this study, a total of 11 norms were identified using a content analysis method. The content analysis identified clauses related to construction dust in the retrieved entries. In general, the Construction Dust Reduction Ordinance applies


The problem of haze pollution is in a very serious situation in China. Such pollution has had far-reaching adverse impacts on social benefits and economic development. However, despite the adverse consequences, the ongoing crisis also provides a good opportunity for the public to express their views on air pollution problems and helps relevant stakeholders to initiate measures or strategies to mitigate the air pollution.

The research results in this paper were derived in terms of content


This study is supported by the CIB Sebestyen Future Leaders Award 2013 titled 'Examining green building development in China: success stories and potential obstacles'. The research is also funded by theNational Science Fund(Project no.: 71303203). The study also has significant support from the Research Writing Fund.Faculty of Humanities and Social Sciences, City University of Hong Kong(Project No. 9610315); the Strategic Fund of the University City


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      Dust pollution is a serious problem for the construction industry. Wind currents inevitably kick up dust on the ground during construction work. Dust will not only affect the physical and mental health of construction workers, but also pollute the environment. In this work, the law of generation and diffusion of dust in typical construction works is simulated and analyzed. According to the simulation, the wind flow lasts 5-10 seconds and the dust concentration in the air reaches more than 50mg/m3in the everyday environment. In order to control dust pollution, a kind of "green environmental protection" dust suppressant suitable for construction sites has been developed using graft polymerization technology on molecular modification technology. Using performance characterization, the synthetic ingredients of the dust suppressant were determined to be 2.5 g sodium alginate, 5 g acrylamide, 0.15 g N,N'-methylenebisacrylamide, and the weight ratio of persulfate sodium ammonium to acrylamide was 3%. The optimum temperature for the synthesis of the dust suppressor was 60°C. The synthesized dust suppressant can still retain more than 80% moisture after oven drying at 45°C for 90 minutes, indicating good water retention. With an ambient wind speed of 12m/s, the wind erosion resistance rate is more than 99%, which suggests that it has good performance against wind erosion. According to the results of the dust suppression experiment, the synthesized dust suppressant can control dust in the construction site well.

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      Construction dust contributes significantly to airborne fine dust particles and affects the health of the environment and the population. Construction workers are often exposed to high levels of dust and present serious health risks. Existing articles on the exposure and health effects of construction dust are limited, but this area of ​​research is receiving increasing attention. This article reviews the literature in the field and attempts to systematically capture the current state of research. Here we review (1) methods for monitoring or sampling construction dust; (2) Principal characteristics of construction dust, including dust classification, exposed populations, and exposure concentrations; (3) potential health hazards and (4) health risk assessment of construction dust. Existing literature mainly focuses on exposure concentrations from different types and sources of construction dust, while particle size distribution and chemical composition are rarely mentioned. The classification and characteristics of populations exposed to construction dust should be an important consideration, but are not yet sufficiently clear. An in-depth study of the health hazard and a systematic evaluation of the risks associated with construction dust are still lacking. In the future, there is value in developing utility tools to accurately monitor construction dust. In addition, control measures to reduce construction dust pollution deserve further study. The health hazard caused by construction dust must be proven by biological tests. Also, emerging algorithm models should be used in risk assessment. The results will help to better understand construction dust exposure and associated health risks.

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      Construction site environmental monitoring (OCEM) can help control the behavior of construction participants with regard to polluting emissions and environmental protection. However, current OCEM systems were built using a centralized architecture, e.g. B. the local government database, leading to an imbalance of information and disputes between various stakeholders. In the absence of reliable data justifying compliance by construction companies, for example, disputes or even conflicts can arise between local residents and contractors. Blockchain has the potential to be a trusted platform for environmental monitoring due to its decentralization, immutability, transparency, and autonomous enforcement of agreements. However, the possibilities of blockchain in OCEM have only been studied to a limited extent. Aiming to fill the knowledge gap, this article proposed a blockchain-enabled framework for OCEM. First, a general conceptual framework was created in which pollution data from buildings was collected through sensors and then uploaded to the blockchain network. Then, based on the consensus algorithm, the chain information flow was introduced. Smart contracts have been programmed to automatically monitor building pollution levels and assess environmental performance. Finally, a case study was carried out to validate the theoretical feasibility of the proposed framework in a laboratory environment, where a blockchain prototype based on the Hyperledger Fabric architecture was presented. The results show that blockchain can support OCEM by providing reliable environmental data and enabling continuous monitoring. This research explored the potential of blockchain in OCEM and created a prototype system that can be tuned for use in real world scenarios.

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      Noise pollution from construction activities is a major factor endangering the health of people at work and their living environment. However, previous research has primarily focused on reducing noise pollution around sensitive off-site buildings rather than reducing on-site noise pollution. In addition, currently available noise reduction methods are quite passive and require considerable additional effort. Since facility location is a critical factor in noise exposure, this study attempts to explore how worker noise exposure can be reduced through optimized pre-construction site layout planning. Recognizing that noise reduction through site design optimization can have negative safety and cost implications, the desired site design must strike a balance between noise reduction, safety enhancement and cost control. . Therefore, resources are being developed that address potential security risks and transportation costs arising from interactions between on-site facilities. To solve this multi-objective optimization problem, a hybrid model of ant colony-genetic algorithm is applied to obtain compensation solutions. The feasibility and effectiveness of the optimization model is verified through a case study in a residential building project. This study integrates noise pollution abatement into pre-construction site design optimization issues without additional effort and safely. It helps future researchers to improve the sustainability of construction already in the planning phase. It also helps site managers to improve sustainability on the site, uniting environmental protection, economy and worker safety. The proposed research framework can also be used as a benchmark for balancing conflicting sustainability goals at other industrial sites.

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      One of the main sources of air pollution in arid and semi-arid environments (i.e. North Africa, the Middle East, Central Asia, and Australia) is volatile particulate matter (fPM), which is a common product of wind erosion. However, the precise determination of fPM is an ongoing scientific challenge. The aim of this study is to investigate the fPM emissions from loose calcisols (i.e. soils with significant enrichment of secondary carbonates) due to construction activities, which today are often observed in urbanized arid regions such as the Middle East. . At a dormant construction site in the city of Doha, Qatar, a two-month field campaign was conducted to measure PM concentrations in the 0.25–32 μm size range using monitoring stations based on light scattering. The fPM emission fluxes were iteratively calculated using the Fugitive Dust Model (FDM) and fitted to a power function expressing the dependence on wind speed. Performance factors were estimated to be 1.87, 1.65, 2.70 and 2.06 for the four different particle size classes ≤2.5, 2.5-6, 6-10 and ≤10 μm, respectively. The fitted performance function was considered acceptable given the adjusted R2the values ​​ranged from 0.13 for the smallest particles to 0.69 for the largest. These power factors are in the same range as those reported in the literature for similar sources. The result of this study is expected to help improve PM emission inventories by focusing on an overlooked but significant source of pollution, particularly in dry and arid regions that are often close to residential areas and vulnerable populations. Other campaigns are recommended to reduce uncertainty and include more sources of fPM (eg earthworks) and other soil types.

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      A probabilistic risk assessment model was developed to study the effects of construction dust on the health of professionals in the construction industry based on the United States Environmental Protection Agency (USEPA) risk assessment model. and the Monte Carlo simulation method. The risk to workers' health was assessed in five zones during the construction phase of housing projects in Beijing. Health decline assessment models were applied to translate health risks into disability-adjusted life years (DALYs), which are more intuitive and easy to understand. Sensitivity analysis methods were used to analyze the different exposure parameters and influencing factors that affect the results of the health risk assessment. The results showed that workers in the standard zone faced the highest health risk, which followed a lognormal distribution of 1.14 × 10−6±9,43×10−7, and the probability exceeds 10−6was higher than 40%. The average health risks for workers in steel, concrete and soil areas were just under 10−6, and workers in the office area had the lowest health risk. Spearman's correlation coefficient method and full factorial design method were used for sensitivity analysis and validation. Sensitivity analysis showed that mean exposure time (AT), exposure duration (ED), exposure frequency (EF), and concentration (C) had higher sensitivities, while AT and body weight ( BW) had higher negative sensitivities. The workers in the caliber and iron and steel areas presented the greatest health problems, with an average of more than 0.1a.

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