Abstract

Construction activities generate a significant number of airborne pollutants. Particulate matter (PM) is one of the important emissions arising throughout construction, especially in large-scale projects due to the utilization of heavy-duty equipment. Nevertheless, there is no competent approach that is capable of quantifying PM emissions from construction equipment operations at the pre-planning stage. Therefore, the development of a sufficiently accurate and simple quantification model is pressingly needed as the first step to help construction planners in identifying potential mitigation opportunities toward sustainable construction. This paper introduces a PM emission estimation model in an integrated application with a discrete-event simulation (DES) technique, namely EZStrobe. The model is developed with the aim of improving the current body of knowledge in the aspects of simplicity and practicality to address the restriction of input data availability in the initial phase of construction projects. A case study of a real highway project in Thailand is used to demonstrate the use and performance of the developed model in evaluating the environmental impacts in terms of diesel exhaust emissions. The findings identify critical construction activities and factors potentially affecting the environment. This approach enables construction planners to obtain a holistic, sustainable viewpoint in efficiently managing existing construction resources.

Highlights

  • This paper aims to develop a Particulate matter (PM) emission estimation model that facilitates construction planners in evaluating environmental impacts due to construction equipment operations

  • This paper reports on a PM emission estimation model that is composed of three consecutive modules

  • This paper introduced a development of the PM emission estimation model by integrating an application of the discrete-event simulation (DES) technique with environmental impact evaluation

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Summary

Introduction

Especially in urban areas, has become a serious environmental problem as a result of fast-growing industrialization and urbanization. According to the U.S Environmental Protection Agency (US EPA), fugitive dust and engine exhaust are parts of major anthropogenic sources of total PM emissions in the USA [4]. The massive number of pollutants in the atmosphere is mainly contributed by roading and construction activities. Studies have recognized that the emissions from roadway construction could contribute up to 59% and 77% of the total life cycle amounts of PM10 and PM2.5, respectively [5], with their main contributors being from construction-oriented, heavy-duty equipment [6]. There is a pressing need to develop a powerful method that can provide reliable estimates of construction equipment emissions during construction activity

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