scholarly journals Health Impacts of Noise Pollution Around Airports: Economic Valuation and Transferability

Author(s):  
Michael Getzner ◽  
Denise Zak
Author(s):  
José Texcalac-Sangrador ◽  
Magali Hurtado-Díaz ◽  
Eunice Félix-Arellano ◽  
Carlos Guerrero-López ◽  
Horacio Riojas-Rodríguez

Health effects related to exposure to air pollution such as ozone (O3) have been documented. The World Health Organization has recommended the use of the Sum of O3 Means Over 35 ppb (SOMO35) to perform Health Impact Assessments (HIA) for long-term exposure to O3. We estimated the avoidable mortality associated with long-term exposure to tropospheric O3 in 14 cities in Mexico using information for 2015. The economic valuation of avoidable deaths related to SOMO35 exposure was performed using the willingness to pay (WTP) and human capital (HC) approaches. We estimated that 627 deaths (95% uncertainty interval (UI): 227–1051) from respiratory diseases associated with the exposure to O3 would have been avoided in people over 30 years in the study area, which confirms the public health impacts of ambient air pollution. The avoidable deaths account for almost 1400 million USD under the WTP approach, whilst the HC method yielded a lost productivity estimate of 29.7 million USD due to premature deaths. Our findings represent the first evidence of the health impacts of O3 exposure in Mexico, using SOMO35 metrics.


2018 ◽  
Vol 18 (8) ◽  
pp. 5967-5989 ◽  
Author(s):  
Ulas Im ◽  
Jørgen Brandt ◽  
Camilla Geels ◽  
Kaj Mantzius Hansen ◽  
Jesper Heile Christensen ◽  
...  

Abstract. The impact of air pollution on human health and the associated external costs in Europe and the United States (US) for the year 2010 are modeled by a multi-model ensemble of regional models in the frame of the third phase of the Air Quality Modelling Evaluation International Initiative (AQMEII3). The modeled surface concentrations of O3, CO, SO2 and PM2.5 are used as input to the Economic Valuation of Air Pollution (EVA) system to calculate the resulting health impacts and the associated external costs from each individual model. Along with a base case simulation, additional runs were performed introducing 20 % anthropogenic emission reductions both globally and regionally in Europe, North America and east Asia, as defined by the second phase of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP2). Health impacts estimated by using concentration inputs from different chemistry–transport models (CTMs) to the EVA system can vary up to a factor of 3 in Europe (12 models) and the United States (3 models). In Europe, the multi-model mean total number of premature deaths (acute and chronic) is calculated to be 414 000, while in the US, it is estimated to be 160 000, in agreement with previous global and regional studies. The economic valuation of these health impacts is calculated to be EUR 300 billion and 145 billion in Europe and the US, respectively. A subset of models that produce the smallest error compared to the surface observations at each time step against an all-model mean ensemble results in increase of health impacts by up to 30 % in Europe, while in the US, the optimal ensemble mean led to a decrease in the calculated health impacts by  ∼  11 %. A total of 54 000 and 27 500 premature deaths can be avoided by a 20 % reduction of global anthropogenic emissions in Europe and the US, respectively. A 20 % reduction of North American anthropogenic emissions avoids a total of  ∼  1000 premature deaths in Europe and 25 000 total premature deaths in the US. A 20 % decrease of anthropogenic emissions within the European source region avoids a total of 47 000 premature deaths in Europe. Reducing the east Asian anthropogenic emissions by 20 % avoids  ∼  2000 total premature deaths in the US. These results show that the domestic anthropogenic emissions make the largest impacts on premature deaths on a continental scale, while foreign sources make a minor contribution to adverse impacts of air pollution.


2014 ◽  
Vol 123 ◽  
pp. 1-9 ◽  
Author(s):  
Carlos Iglesias Merchan ◽  
Luis Diaz-Balteiro ◽  
Mario Soliño

2020 ◽  
Vol 4 (1) ◽  
pp. 006-010
Author(s):  
Begam Nazia ◽  
Bashar Abu

Noise is widespread in everyday life and can cause both auditory and non-auditory health impacts. Noise-induced hearing loss remains highly prevalent in occupational settings and is now increasingly caused by exposure to social and environmental noise. Incidence of noise-induced hearing loss (NIHL) has been observed to increase substantially in the recent years. Several advances have taken place in past few years for understanding the molecular basis of NIHL. Our understanding of molecular mechanisms implicated in noise-induced hair-cell and nerve damage has significantly increased. Research in the field of genetics is also advancing at a rapid speed, and several genes linked to NIHL have been discovered. This could help in developing preventive and treatment strategies. This review article focuses on the current research and future trends on auditory effects and consequences of noise pollution in humans, stressing the importance of adequate noise prevention and mitigation strategies as a public health measures.


2017 ◽  
Author(s):  
Ulas Im ◽  
Jørgen Brandt ◽  
Camilla Geels ◽  
Kaj Mantzius Hansen ◽  
Jesper Heile Christensen ◽  
...  

Abstract. The impact of air pollution on human health and the associated external costs in Europe and the United States (U.S.) for the year 2010 is modelled by a multi-model ensemble of regional models in the frame of the third phase of the Air Quality Modelling Evaluation International Initiative (AQMEII3). This is the first study known to use a common health assessment approach across the two continents. The modelled surface concentrations of O3, CO, SO2 and PM2.5 from each model are used as input to the Economic Valuation of Air Pollution (EVA) system to calculate the resulting health impacts and the associated external costs. Along with a base case simulation, additional runs were performed introducing 20 % emission reductions both globally and regionally in Europe, North America and East Asia. Health impacts estimated by different models can vary up to a factor of three in Europe (twelve models) and the United States (three models). In Europe, the multi-model mean number of premature deaths is calculated to be 414 000 while in the U.S., it is estimated to be 160 000, in agreement with previous global and regional studies. In order to estimate the impact of biases coming from each model, two multi-model ensembles were produced, the first attributing an equal weight to each member of the ensemble, and the second where the subset of models that produce the smallest error compared to the surface observations at each time step. The latter results in increase of health impacts by up to 30 % in Europe, thus giving significantly higher mortality estimates compared to available literature. This is mostly due to a 27 % increase in the domain mean PM2.5 levels, along with a slight increase in O3 by ~ 1 %. Over the U.S., the mean PM2.5 and O3 levels decrease by 11 % and 2 %, respectively, when the optimal ensemble mean is used, leading to a decrease in the calculated health impacts by ~ 11 %. These differences encourage the use of optimal-reduced multi-model ensembles over traditional all model-mean ensembles, in particular for policy applications. Finally, the role of domestic versus foreign emission sources on the related health impacts is investigated using the 20 % emission reduction scenarios applied over the source regions as defined in the frame of HTAP2. The differences are calculated based on the models that are common in the basic multi-model ensemble and the perturbation scenarios, resulting in five models in Europe and all three models in the U.S. A 20 % reduction of global anthropogenic emissions avoids 54 000 and 27 500 premature deaths in Europe and the U.S., respectively. A 20 % reduction of North American emissions foreign emissions avoids ~ 1000 premature deaths in Europe and 25 000 premature deaths in the U.S. A 20 % decrease of emissions within the European source region avoids 47 000 premature deaths in Europe. Reducing the East Asian emission by 20 % avoids ~ 2000 premature deaths in the U.S. These results show that the domestic emissions make the largest impacts on premature death, while foreign sources make a minor contributing to adverse impacts of air pollution.


2020 ◽  
Vol 1 (2) ◽  
pp. 183-189
Author(s):  
Godwin Chigaekwu Ezeh ◽  
Oluwasesan Hezekiah Joshua ◽  
Olufemi Oyediran Laoye

2021 ◽  
Vol 17 (2) ◽  
pp. 91-103
Author(s):  
XAVIER SUSAIRAJ A ◽  
PREMKUMAR A

Tannery pollution and the resulting health impacts are a worldwide problem. Due to the cheap labour availability and tax pollution regulation leather tanning has become a popular export earning industry in countries like India, Pakistan and Bangladesh. Given its huge potential for export earnings and local economic livelihood especially for poor households, its adverse health impacts seem to have been ignored. Also thus far there has been no systematic economic valuation study in India. This also attempts to estimate the health cost of this industry to people including those very households that have made leather tanning their livelihood. Therefore the present research study aims to examine economic valuation of human health impact of the pollution from the tannery industry in Vellore district, using the Willingness to Pay method. Vellore district in Tamil Nadu state of India is purposively selected because of its larger number of tanneries.


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