Assessment of health impacts of noise pollution in the Tarkwa Mining Community of Ghana using noise mapping techniques

Baffoe, Peter Ekow; Duker, Alfred Allan; Senkyire-Kwarteng, Efiba Vida

doi:10.1016/j.glohj.2022.01.005

Cited by 29 publications

(12 citation statements)

References 6 publications

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“…Little data exist on the human health impacts of urban noise pollution in developing countries [61]. Communities have little knowledge of impacts of noise exposure on human health, which is demonstrated by their ignorance of this threat [62]. The objective of this section is to establish and/or strengthen national and local programmes which monitor the health and economic impacts of environmental noise exposure in a harmonized way.…”

Section: Challenges In Developing Countries In the Field Of Health An...mentioning

confidence: 99%

Guidelines for Environmental Noise Management in Developing Countries

Schwela¹

2023

Environmental Sciences

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This chapter describes the challenges of environmental noise policies and governance, noise emissions, noise transmission modeling, and those of health and economic risk assessment in developing countries. It bases on an analysis of current legislation regarding noise pollution in major developing countries in Asia, Africa, and Latin America. Although legislators are engaged in promulgating laws and regulations explicit procedures for noise measurement, noise mapping, development of a healthy and comfortable soundscape, and the implementation and enforcement of legislation are rarely developed. A strategic framework approach is needed to overcome these challenges and enable countries to achieve sustainable environmental noise management. Guidelines are provided to resolve these tasks to better protect the population of urban areas against the health end economic impacts of environmental noise.

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Section: Challenges In Developing Countries In the Field Of Health An...mentioning

confidence: 99%

Guidelines for Environmental Noise Management in Developing Countries

Schwela¹

2023

Environmental Sciences

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“…The survival and healthy existence of man depend largely on the enabling environment where he resides, as disruption in the conducive environment may lead to dysfunction in health status [3]. According to Baffoe et al [4], noise level of over 60 dBA can affect the physical and psychological health of humans. Moreover, some studies also predict that noise levels in some areas, especially in the developing countries, could go as high as 90 dBA and even to 110 dBA.…”

Section: Fig 1 a Pictorial View Of The African Continentmentioning

confidence: 99%

“…Noise level of working sites ranged from 74.4 dBA to 115.2 dBA. And these could probably lead to hypertension, ear problems and sleep disturbances [4].…”

Section: Fig 1 a Pictorial View Of The African Continentmentioning

confidence: 99%

Health Effects caused by Noise - The Case of Africa: Evidence in Literature from the Past 25 Years

Osei

Effah

2022

AJARR

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This narrative review paper is centred on researches conducted in Africa from the past Twenty-Five (25) years which reveals the health effects caused by noise pollution. Noise pollution has become a global menace. The various areas of noise reception, the health effects reported, sources, noise and exposure levels identified are described. Consistencies and discrepancies among results of various researches are elaborated. Finally, the implications of findings and any new research fields spotted are spelt out.

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“…Noise pollution generates excessive noise that causes annoyance to living organisms. This noise is considered one of the critical environmental problems because it endangers the health of the population; causing affectations such as cardiovascular diseases, hearing problems, sleep disorders and adverse social behaviour [1], [2], in addition to this, [3] found that this type of pollution influences the incidence and severity of COVID-19, because it generates high levels of cortisol, weakening the immune system. Vehicle traffic is one of the main sources of this pollution in cities [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca

et al. 2023

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Jaen is a city in constant urban growth which generates an increase in vehicular traffic and active noise pollution. The research presents the development of an artificial neural network (ANN) to estimate the noise produced by vehicular traffic in the urban area of the city. Consequently, information was collected from two investigations coded as T1 and T2, for which a matrix of 10 variables was elaborated with 210 and 273 data respectively. Random random sampling was performed to divide the data matrix into 80% (training) and 20% (validation). Weka software and the multi-layer perceptron (MLP) training algorithm were used to model the ANN. An ANN for T1 with 6-19-1 architecture and an ANN for T2 with 6-15-1 architecture were obtained. The performance of the ANNs was evaluated using the correlation coefficient (R), coefficient of determination (R2) and root mean square error (RMSE). The results show that the MLP networks are able to estimate the sound pressure level with values of R=0.9927, R2=0.9854 and RMSE=0.7313 for T1, R=0.9989, R2=0.9978, and RMSE=0.1515 for T2.

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Assessment of health impacts of noise pollution in the Tarkwa Mining Community of Ghana using noise mapping techniques

Cited by 29 publications

References 6 publications

Guidelines for Environmental Noise Management in Developing Countries

Guidelines for Environmental Noise Management in Developing Countries

Health Effects caused by Noise - The Case of Africa: Evidence in Literature from the Past 25 Years

Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca

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