{"title":"Noise Pollution Near to the Construction Site in an Urban Area (A Case Study in Shah Alam)","authors":"Janmaizatulriah Jani, Suhaila Nasim","doi":"10.54552/v83i2.159","DOIUrl":"https://doi.org/10.54552/v83i2.159","url":null,"abstract":"In the new era of modernisation, numerous construction and urbanisation project were conducted in Malaysia, especially in the urban area. Without neglecting the purpose of modernisation, noise emission from construction and urbanisation projects should be highlighted. High levels of noise commonly occur in urban areas where there are residential, commercial and educational areas. Traffic noise itself has affected the health of the community nearby and with the presence of construction projects, noise pollution has increased. In this study, two locations have been chosen as a case study, where the area in Seksyen 7 and Seksyen 9, Shah Alam. The purpose of this study is to investigate either the construction of the Light Rail Transit (LRT) project is one of the contributors to noise pollution or not. There are two methods of study were chosen which is a set of questionnaires is distributed to the community who live nearby the construction site to evaluate the effect of noise pollution and the acceptance of the community towards noise emission from construction site. Other than that, noise level is also measured using Decibel X application to strengthen the finding through the questionnaires. It is proved that the noise emission from construction sites is disturbing and affects the community’s health. The calculated LAeq also showed that the construction site was noisier compared to non-construction site for both weekdays and weekends.","PeriodicalId":489889,"journal":{"name":"Journal of the Institute of Engineers, Malaysia","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135942843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance of Sandwiched Kenaf Fibre and Sugarcane Husk in Treating Pavement Runoff","authors":"Nor Azlina Alias, Badronnisa Yusuf","doi":"10.54552/v83i2.157","DOIUrl":"https://doi.org/10.54552/v83i2.157","url":null,"abstract":"Rapid urbanization appears to cause more paved parking areas being provided which contributed into a greater impermeable surface area. Pavement runoff from the impermeable surface area does indeed have a high concentration of contaminants and it has been identified as a major cause of deterioration of nearby recipient water bodies. The more develop the country is, the poorer the water quality they have (Ashantha, et. al 2005). It carries pollutants, sediments, nutrients and heavy metals. An intensifying development in areas with impervious surface leads rainwater with small particles runs rapidly into drainages and rivers that may cause blockage that eventually leads to flash flood problem. Changes in land use increased the degree of soil imperviousness led to the increased of stormwater volume (Kundzewicz, et al., 2007). This study used a potential block system that is equipped with inner storage and expected to give minimal impact to the environment in order to improve the water quality and prevent ponding in the paved and impermeable areas.","PeriodicalId":489889,"journal":{"name":"Journal of the Institute of Engineers, Malaysia","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135942848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kabiru Musa Ayagi, Badorul Hisham Abu Bakar, Teh Sabariah Abd Manan
{"title":"Review on Masonry Hollow Block Walls: Materials and Construction","authors":"Kabiru Musa Ayagi, Badorul Hisham Abu Bakar, Teh Sabariah Abd Manan","doi":"10.54552/v83i2.126","DOIUrl":"https://doi.org/10.54552/v83i2.126","url":null,"abstract":"Concrete hollow blocks are commonly used in building construction, particularly for multi-story buildings, factories, and residential structures. Hollow blocks are more practical because of their lightweight, and the most significant feature is the ease with which they can be ventilated. This paper provides an overview of modern masonry hollow block wall construction, starting with an overview of its applications and benefits. Mortars are typically made from cement and sand; with lime or a plasticizer added to improve workability. To improve economy and productivity, compressive strength, density, masonry hollow block properties, and masonry wall behaviour with the factors to consider for load-bearing and non-load-bearing wall construction were summarised and described, and key reference lists are included.","PeriodicalId":489889,"journal":{"name":"Journal of the Institute of Engineers, Malaysia","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135943001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Syed Muzzamil H. Shah, Haris U. Qureshi, Mohamed A. Yassin, Sani I. Abba, Zahiraniza Mustaffa
{"title":"Investigation of Causes and Characteristics of Monsoon Extremes in Pakistan: A Case Study for Summer Monsoon 2022","authors":"Syed Muzzamil H. Shah, Haris U. Qureshi, Mohamed A. Yassin, Sani I. Abba, Zahiraniza Mustaffa","doi":"10.54552/v83i2.197","DOIUrl":"https://doi.org/10.54552/v83i2.197","url":null,"abstract":"Apart from the long-term changes in the normal weather patterns, the occurrence of short-lived extreme meteorological events has also emerged as a major consequential aspect of global climate change. Pakistan being listed among the most susceptible nations to the changing global climate patterns has witnessed an increasing frequency of extreme summer monsoon rainfall events during the past decades. This study was conducted to comprehensively investigate the major meteorological factors that lead to the extreme summer monsoon precipitation in Pakistan in 2022. The results obtained from the study showed that in April 2022, Balochistan observed 1.5 to 6 °C, Sindh observed 2 to 4 °C, while Punjab and KPK observed 3 to 5.5 °C above normal temperatures (1961-2010). In May, Sindh and Balochistan observed 1 to 3.5 °C above normal temperature, consequently causing intense low-pressure conditions over the area. In April 2022, about 1 to 2.5 mb below normal air pressure was found in Sindh and Balochistan, while in May, about 1 to 3 mb below normal pressure was found over the area. The summer monsoon 2022 analysis showed that in July, about 0.2 to 4 mb above normal vapor pressure was found in Sindh and Balochistan, while Punjab reported 1 to 5 mb above normal vapor pressure. In August, Balochistan and Sindh recorded 1 to 5 mb, while Punjab recorded 1.5 to 5 mb above normal vapor pressure. Further, the extreme monsoon precipitation was more concentrated in Sindh and Balochistan, as compared to the other provinces. In July 2022, Sindh received 307 %, Balochistan received 450 %, while Punjab received 116% above normal rainfall. In August, Sindh received the highest rainfall (+726% above normal) followed by Balochistan with the rainfall departure as +590%. Conclusively, it was established that the unusual pre-monsoon heating over the arid plains in Sindh, Balochistan and southern Punjab resulted in the development of intense trough over the area, that pulled excess moisture from the Indian ocean, causing high vapor pressures","PeriodicalId":489889,"journal":{"name":"Journal of the Institute of Engineers, Malaysia","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135943282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ren Jie Chin, Foo Wei Lee, Kok Zee Kwong, Sai Hin Lai
{"title":"Comparison of Artificial Intelligence (AI) Based Models for Sediment Transport Prediction Using SWOT and Statistical Analyses","authors":"Ren Jie Chin, Foo Wei Lee, Kok Zee Kwong, Sai Hin Lai","doi":"10.54552/v83i2.207","DOIUrl":"https://doi.org/10.54552/v83i2.207","url":null,"abstract":"The dynamics involved in sediment scour are complicated to create a general empirical optimization algorithm to offer reliable sediment load estimation. The existing study was conducted to analyse the architectures of assorted artificial intelligence (AI) based model to forecast suspended sediment load in fluvial system. An in-depth study on traditional approach including Artificial Neural Network (ANN), Adaptive NeuroFuzzy Inference System (ANFIS), and Genetic Programming (GP) was carried out. The goal of this study is to evaluate the performance of AI-based models from various research using SWOT and statistical analyses. Three statistical measures of model prediction accuracy including coefficient of correlation (R), root mean square error (RMSE), and mean absolute error (MAE) were used. The results revealed that the SVM and ANFIS models outperformed the other soft computing and conventional models. It is concluded that the SVM and ANFIS models are preferred and may be successfully used to estimate the suspended sediment concentration for the research area.","PeriodicalId":489889,"journal":{"name":"Journal of the Institute of Engineers, Malaysia","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}