Construction of high-rise buildings, large-scale apartment blocks, or construction in urban areas demands increasingly greater use of cranes. In the construction industry, the use of crane is common and very important regardless of the size of the project. Cranes generally use cable and pulley to deliver a mechanical advantage when it is necessary to lift heavy loads. They have the potential to move materials of different sizes that play an extraordinarily important role in the construction site. The crane operator is responsible for controlling the crane effectively and follow the safety guidelines. Life loss, injury, and property damage are the implications that will occur if the crane maintenance specifications and operations are not correctly practiced. As the result of crane accident happened every year, this paper seeks to identify the causes of crane accident at construction sites in Malaysia. With the aim that has been stated, this paper summarizes statistic and causes of crane accident of most cited papers. Thus, the causes that lead to accident from previous researcher will be highlighted. Outcomes from the study demonstrate that operational and technical problem are the major causes of crane accidents at construction site in Malaysia. Exploration of this paper will help the construction industry especially in crane monitoring for a better safety performance and regulation at all construction projects.
Abstract. Air pollution modelling is one of an important tool that usually used to make short term and long term prediction. Since air pollution gives a big impact especially to human health, prediction of air pollutants concentration is needed to help the local authorities to give an early warning to people who are in risk of acute and chronic health effects from air pollution. Finding the best time series model would allow prediction to be made accurately. This research was carried out to find the best time series model to predict the PM10 concentrations in Nilai, Negeri Sembilan, Malaysia. By considering two seasons which is wet season (north east monsoon) and dry season (south west monsoon), seasonal autoregressive integrated moving average model were used to find the most suitable model to predict the PM10 concentrations in Nilai, Negeri Sembilan by using three error measures. Based on AIC statistics, results show that ARIMA (1, 1, 1) x (1, 0, 0)12 is the most suitable model to predict PM10 concentrations in Nilai, Negeri Sembilan.
Abstract. Urbanization and rapid growth in construction have led to the problems of global warming and urban heat island throughout the world. In order to reduce these problems particularly in hot and humid climatic region, a research on current level of outdoor thermal comfort and wind characteristics based on the local weather conditions around Malaysia should be conducted. This paper reports on the analysis of outdoor thermal comfort level at hottest temperatures and wind characteristics at three locations in Peninsular Malaysia by using hourly climatic data recorded by Malaysian Meteorological Department (MetMalaysia). The level of outdoor thermal comfort was assessed based on the Universal Thermal Climate Index (UTCI). The results showed extreme heat stress conditions have occurred at Alor Setar, Kuantan, and Subang with UTCI values of 51.2°C, 49.7°C, and 49.0°C respectively taking into account only temperature data from the year 2012 to 2014. However, for 20 years data from 1994 to 2014, the calculated UTCI also showed extreme heat stress conditions with their respective values of 49.6°C, 43.8°C, and 49.7°C for Alor Setar, Kuantan, and Subang respectively. Meanwhile, the hourly mean wind speed for three years data at Alor Setar, Kuantan, and Subang, were 1.70m/s, 1.69m/s, and 1.63m/s respectively. The highest mean wind speed of 11.6m/s was observed at Subang, while no wind movement (i.e. 0m/s) was considered to be the lowest hourly wind speed for all three locations. The observed prevailing wind direction for all the three locations was from the north (0°). It can be concluded that Peninsular Malaysia is generally facing extreme heat stress problem due to unfavourable climatic conditions.
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