Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Impact of Noise Pollution at Construction Sites of Sindh Pakistan
Noise pollution refers to the excessive and unnecessary intensity of sound that can pose harmful or dangerous effects on humans and the surrounding ecosystem. Unfortunately, the occurrence of noise pollution is worsening because of ongoing country development. Construction sites have emerged as significant contributors to noise pollution in urban areas, as the continuous development and construction projects necessitate high levels of noise. This research conducts a study on Sindh construction projects because the government of Sindh is involved in constructing mega projects. The presence of noise pollution at construction sites poses a significant health risk to individuals involved in construction projects and those who spend extended periods of time at these sites. Therefore, the primary goals of this study are to identify the factors contributing to noise pollution at construction sites and examine the impact of this noise on various parties such as engineers, contractors, and others. Additionally, this study aims to propose solutions to mitigate and reduce noise pollution at construction sites to minimize its negative effects. This study designs the questionnaire survey form and collects the data from 94 respondents working in Sindh construction sectors to identify the most significant factors that impact and solution for minimizing noise pollution on construction sites. The received data were analyzed through average index technique to achieve the results. Based on results the significant factors impact on construction site was operating of heavy machineries that effect on construction workers and surrounding residences during sleeping disturbance. This study suggested that construction stakeholders should take necessary precautions to reduce noise pollution.
Impact of Noise Pollution at Construction Sites of Sindh Pakistan
Noise pollution refers to the excessive and unnecessary intensity of sound that can pose harmful or dangerous effects on humans and the surrounding ecosystem. Unfortunately, the occurrence of noise pollution is worsening because of ongoing country development. Construction sites have emerged as significant contributors to noise pollution in urban areas, as the continuous development and construction projects necessitate high levels of noise. This research conducts a study on Sindh construction projects because the government of Sindh is involved in constructing mega projects. The presence of noise pollution at construction sites poses a significant health risk to individuals involved in construction projects and those who spend extended periods of time at these sites. Therefore, the primary goals of this study are to identify the factors contributing to noise pollution at construction sites and examine the impact of this noise on various parties such as engineers, contractors, and others. Additionally, this study aims to propose solutions to mitigate and reduce noise pollution at construction sites to minimize its negative effects. This study designs the questionnaire survey form and collects the data from 94 respondents working in Sindh construction sectors to identify the most significant factors that impact and solution for minimizing noise pollution on construction sites. The received data were analyzed through average index technique to achieve the results. Based on results the significant factors impact on construction site was operating of heavy machineries that effect on construction workers and surrounding residences during sleeping disturbance. This study suggested that construction stakeholders should take necessary precautions to reduce noise pollution.
Impact of Noise Pollution at Construction Sites of Sindh Pakistan
Shaikh Haseeb Haleem (Autor:in) / Zainun Noor Yasmin (Autor:in) / Khahro Shabir Hussain (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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