Human health risk assessment due to air pollution in 10 urban cities in Maharashtra, India

Maji, Kamal Jyoti; Dikshit, Anil Kumar; Deshpande, Ashok

doi:10.1080/23311843.2016.1193110

Cited by 36 publications

(30 citation statements)

References 23 publications

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“…Epidemiological time series studies of air quality health impacts had been carried out in different cities in the world namely Tehran in Iran (Naddafi et al, 2012); Beijing (Zhang et al, 2007), Taiyuan, Shanxi (Zhang et al, 2010a), Shanghai (Kan and Chen, 2004) and Lanzhou (Tao et al, 2014) in China; ten Canadian cities (Vanos et al, 2013); Bangkok in Thailand (Vichit-Vadakan et al, 2008); Alabama, Philadelphia and Pennsylvania in United States (Smoyer et al, 2000;Caiazzo et al, 2013). Similar studies have also been carried out in different cities of India as: Kolkata (Ghose et al, 2005;Gurjar et al, 2016), Delhi (Alberini et al, 1997;Gurjar et al, 2010;HEI, 2011;Rizwan et al, 2013;Nagpure et al, 2014), Mumbai (Joseph et al, 2003;Maji et al, 2016), Chandigarh (Gupta et al, 2001) and Chennai (Jayanthi and Krishnamoorthy, 2006;HEI, 2011).…”

Section: Introductionsupporting

confidence: 50%

Assessment of City Level Human Health Impact and Corresponding Monetary Cost Burden due to Air Pollution in India Taking Agra as a Model City

Maji

Dikshit

Deshpande³

2017

Aerosol Air Qual. Res.

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Objectives of the present study are to provide quantitative estimations of air pollution health impacts and monetary burden on people living in Agra city, the fourth most populated city in Uttar Pradesh, India. To estimate the direct health impacts of air pollution in Agra city during year 2002 to 2014, 'Risk of Mortality/Morbidity due to Air Pollution' model was used which is adopted from air quality health impact assessment software, developed by world health organization (WHO). Concentrations of NO 2 , SO 2 and PM 10 have been used to assess human health impacts in terms of attributable proportion of the health outcome as-annual number of excess cases of total mortality, cardiovascular mortality, respiratory mortality, hospital admission chronic obstructive pulmonary disease (COPD), hospital admission respiratory disease and hospital admission cardiovascular disease and it was observed that attributable number of cases were 1325, 908, 155, 138, 1230 and 348 respectively in year 2002. However, after thirteen years these figures increased to 1607, 1095, 189, 167, 1568 and 394 respectively. From these results, it was observed that from 2002 to 2014, the attributable number of cases increased almost by 13.43 to 27.52%. As a result, the monetary cost burden due to air pollution related health effects also increased very highly; it was 67.99 million US$ in 2002, which transformed into 254.52 million US$ in 2014. In future, if air quality continues to follow current pollutant concentration trend, the monetary cost burden will reach a level of US$ 570.12 million in year 2020, which is not only a thoughtful matter but also a threatful matter and it signifies the importance of rectification measures for air quality in Agra city.

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Section: Introductionsupporting

confidence: 50%

Assessment of City Level Human Health Impact and Corresponding Monetary Cost Burden due to Air Pollution in India Taking Agra as a Model City

Maji

Dikshit

Deshpande³

2017

Aerosol Air Qual. Res.

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“…AirQ + have some default values like RRs, conversion facotr between PM 2.5 and PM 10 at the nationnal level and worildwide statistics at the nationnal level. (Nagpure et al, 2014 andMaji et al, 2016). These air pollutants parameters (PM,NOx,CO,O 3 ,BC) show the relationship between air pollution and serious health exposure (Oftedal et al, 2008 andSchwela, 2000).…”

Section: Input For Airq +mentioning

confidence: 99%

“…APHRA may be quantitative or qualitative which generally assesses (1) the amount of air pollution present (pollutant concentrations), (2) the amount of contact (exposure) of the targeted population, and (3) how harmful the concentration is for human health; e.g. the resulting health risks to the exposed population, (Maji et al, 2016 andKnibbs et al, 2011). In selecting an APHRA, the aim should be to maximize scientific rigor within the resources available (Bumett et al, 2014 andCPCB, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Air Pollution Health Risk Based on AirQ+ Software Tool

2017

Int. j. appl. res. technol.

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In this industrial era, the world and mostly developing countries is facing the health risk problem due to the poor air quality of our environment. The estimation of health risk assessment due to pollution is one of major concern for scientific society or organization. AirQ + is a tool developed by WHO (World Health Organization, 2016) for evaluating the exposure and the health risk assessment due to pollution. It can deal with the accompanying mortality and morbidity of various air pollutants like PM 2.5 , PM 10 , NO 2 , O 3 and black carbon (BC) with software approaches to evaluate the impacts of long term and short term exposure in ambient or indoor air for the targeted population of a specific area. This paper is an effort to introduce the concept and operating steps for batter understanding and effective implantation of AirQ+ tool.

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“…La contaminación atmosférica es uno de los problemas ambientales más importantes que afectan a nuestro mundo, como resultado de la presencia en el aire de materiales nocivos producidos por el hombre, en cantidades grandes como para producir efectos perjudiciales para el medio ambiente como para el hombre. Dicho problema, está presente en todas las sociedades, independientemente del nivel de desarrollo socioeconómico, y constituye un fenómeno que tiene particular incidencia sobre la salud del hombre (Placeres et al, 2006), es un problema de las actividades humanas (antropogénico) y más aún en las sociedades con mayor poder económico debido a que consumen más energía y producen mayor cantidad de emisiones, como por ejemplo la exposición de partículas finas como el PM2.5 que contribuyen a las enfermedades respiratorias en la India (Conibear et al, 2018), en otro estudio se determinó como el exceso en la mortalidad y morbilidad es debido al PM10 que los gases contaminantes (Maji et al, 2016). Según la Organización Mundial de la Salud (OMS) en las "Guías de calidad de aire" mencionan que los cuatro contaminantes que ocasionan perjuicio a la salud son: material particulado (PM, por sus siglas en inglés), ozono (O3), dióxido de nitrógeno (NO2) y dióxido de azufre (SO2).…”

Section: Introductionunclassified

Pronóstico de Reducción de Emisiones, de Enfermos y de Gastos Asociados al incluir el Gas Natural dentro de la Matriz Energética en Perú

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Autor a quien debe ser dirigida la correspondencia. ResumenEste trabajo presenta el estudio de la reducción de los contaminantes atmosféricos (MP10, MP2.5, CO, SO2 y NOx) por el uso del gas natural. Se analiza el impacto en el sector salud (reducción de enfermos por vías respiratorias), en el sector económico (reducción de costo de inasistencia laboral y costo por atención por salud), en Lima Metropolitana al 2040. Se realizó un estudio detallado del parque automotor considerando el ingreso del gas natural en la matriz energética desde el año 2004, de enfermos por contaminación atmosférica, gastos asociados a la salud de las personas, luego se realizaron cálculos de emisiones mediante los factores de emisión como herramienta principal en este estudio y se realizaron los pronósticos mediante los cálculos estadísticos al 2040. Se concluyó con una propuesta de inversión a la conversión del parque automotor hacia el gas natural consiguiendo favorablemente la reducción de enfermos por vías respiratorias, de costo por salud para el estado, y reducción de la contaminación atmosférica.Palabras clave: contaminación atmosférica; enfermos; factores de emisión; salud; gas natural. AbstractThe progress of the study on the estimation and forecast of air pollution in Lima-Peru is presented and discussed. This work presents the study of the reduction of atmospheric pollutants (PM10, MP2.5, CO, SO2 and NOx), reduction of patients, cost reduction due to health, due to the use of natural gas in Metropolitan Lima by 2040. A detailed study of the vehicle fleet considering the entry of natural gas into the energy matrix since 2004, of patients due to atmospheric pollution, expenses associated with people's health, then emission calculations were carried out using the emission factors as the main tool in this study and forecasts were made by statistical calculations to 2040. It was concluded with an investment proposal to the conversion of the automotive fleet to natural gas getting favorably the reduction of patients, cost for health for the state, and reduction of air pollution.

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Human health risk assessment due to air pollution in 10 urban cities in Maharashtra, India

Cited by 36 publications

References 23 publications

Assessment of City Level Human Health Impact and Corresponding Monetary Cost Burden due to Air Pollution in India Taking Agra as a Model City

Assessment of City Level Human Health Impact and Corresponding Monetary Cost Burden due to Air Pollution in India Taking Agra as a Model City

Air Pollution Health Risk Based on AirQ+ Software Tool

Pronóstico de Reducción de Emisiones, de Enfermos y de Gastos Asociados al incluir el Gas Natural dentro de la Matriz Energética en Perú

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