Impact of air pollution on the environment and economy.

Sonwani, Saurabh; Maurya, Vandana

doi:10.1079/9781786393890.0113

Cited by 26 publications

(10 citation statements)

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“…The impact of air pollution (

and

) is indirect as it stems from its contribution to biodiversity decline ( 166 ), which in turn has been argued to increase human exposure to zoonotic pathogens ( 167 ). Moisture resulting from precipitation (

) results in dense vegetation that provides suitable conditions for vector proliferation ( 168 ).…”

Section: Results and Discussion: A Case Study In The Valencian Commun...mentioning

confidence: 99%

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Jato-Espino

Mayor-Vitoria

Moscardó

et al. 2023

Front. Public Health

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Recurrent outbreaks of zoonotic infectious diseases highlight the importance of considering the interconnections between human, animal, and environmental health in disease prevention and control. This has given rise to the concept of One Health, which recognizes the interconnectedness of between human and animal health within their ecosystems. As a contribution to the One Health approach, this study aims to develop an indicator system to model the facilitation of the spread of zoonotic diseases. Initially, a literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to identify relevant indicators related to One Health. The selected indicators focused on demographics, socioeconomic aspects, interactions between animal and human populations and water bodies, as well as environmental conditions related to air quality and climate. These indicators were characterized using values obtained from the literature or calculated through distance analysis, geoprocessing tasks, and other methods. Subsequently, Multi-Criteria Decision-Making (MCDM) techniques, specifically the Entropy and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, were utilized to combine the indicators and create a composite metric for assessing the spread of zoonotic diseases. The final indicators selected were then tested against recorded zoonoses in the Valencian Community (Spain) for 2021, and a strong positive correlation was identified. Therefore, the proposed indicator system can be valuable in guiding the development of planning strategies that align with the One Health principles. Based on the results achieved, such strategies may prioritize the preservation of natural landscape features to mitigate habitat encroachment, protect land and water resources, and attenuate extreme atmospheric conditions.

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“…The impact of air pollution (

and

) results in dense vegetation that provides suitable conditions for vector proliferation ( 168 ).…”

Section: Results and Discussion: A Case Study In The Valencian Commun...mentioning

confidence: 99%

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Jato-Espino

Mayor-Vitoria

Moscardó

et al. 2023

Front. Public Health

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“…According to European Environment Agency (EEA, 2022) key primary air pollutants are particulate matter (PM), black carbon (BC), sulphur oxides (SO 2 ), nitrogen oxides (NO x ) (including nitrogen monoxide and nitrogen dioxide, NO 2 ), ammonia (NH 3 ), carbon monoxide (CO), methane (CH 4 ). Sulfur and nitrogen are the most important air pollutants affecting the aquatic ecosystem, the source of which is largely air (Sonwani and Maurya, 2019). Air pollution (especially sulfur oxides, nitrogen oxides and ozone) affects diverse ecosystems and biodiversity by changing its physical components.…”

Section: Introductionmentioning

confidence: 99%

“…Oxides of sulfur and nitrogen react together to form acid rain and increase the acidity of the soil. Increased acidity negatively affects nutrient cycling, reproduction and climate regulation in the ecosystem (Sonwani and Maurya, 2019). The gases that trap the infrared rays coming to the world and convert them into heat by forming a layer between the atmosphere and the earth, absorb the rays reflected from the earth and regulate the heat balance of the world are called greenhouse gases (Bayraç and Emrah, 2016).…”

Section: Introductionmentioning

confidence: 99%

Determination of the Distribution and Sources of Inorganic Pollutants in Particular Material in the Atmosphere of Istanbul

ÇELEN

Caglar²,

BALKIS

et al. 2023

International Journal of Environment and Geoinformatics

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In this study, metal analyzes were made on filtered samples belonging to different periods of 2017 and 2018 at the air quality stations in Yenibosna, Aksaray and Kadıköy in Istanbul, and were evaluated together with sulfate, nitrogen oxides, carbon monoxide and ozone parameters published by the Istanbul Metropolitan Municipality. Correlations among the metals and among gases were calculated. Considering all the data, the heavy metals with the highest correlation were Fe-Cu (0.93) and Mn-Zn (0.80). In order to determine whether the metal analysis results are at the level of pollution, the enrichment factor was calculated by taking the aluminum element as a reference. The elements that was seen enrichment in all stations are Cd, Zn, Cu and Pb. In addition, the ratios of the average enrichment factors to each other were calculated in order to determine the changes in the compared periods (summer-winter or months) at the stations. In the Aksaray station, where summer-winter comparison was made, the metals with the highest enrichment in winter were Pb and Ni. In order to see the effect of the quarantines applied periodically throughout the country due to the Covid-19 pandemic on the air pollution in Istanbul, the pollutant gas data shared by the IMM AQMC for 2019, 2020 and 2021 years were evaluated and seen that different situations at each station. In Kadıköy station, both the lowest CO and the highest NO and NOx (although they decreased significantly) emissions were determined in 2021.

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“…Air pollution is a significant threat to modern society, and it has been shown that it negatively affects both, the people’s health (Ghorani-Azam et al, 2016 ; Lave & Seskin, 2013 ; Shahriyari et al, 2022 ) and the environment (Saurabh Sonwani & Vandana Maurya, 2019 ; Stevens et al, 2020 ). Particulate matter (PM) with an effective aerodynamic diameter smaller than 2.5 and 10 μm (PM 2.5 and PM 10 ) have gained specific attention among air pollutants, and their effects on human health and ecosystems have become important research topics in recent years (Bodor et al, 2022 ; Faraji Ghasemi et al, 2020 ; Leão et al, 2022 ; Yunesian et al, 2019 ; Zoran et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data

Mamić

Gašparović

Kaplan

2023

Environ Monit Assess

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Clean air is the precursor to a healthy life. Air quality is an issue that has been getting under its well-deserved spotlight in the last few years. From a remote sensing point of view, the first Copernicus mission with the main purpose of monitoring the atmosphere and tracking air pollutants, the Sentinel-5P TROPOMI mission, has been widely used worldwide. Particulate matter of a diameter smaller than 2.5 and 10 μm (PM2.5 and PM10) significantly determines air quality. Still, there are no available satellite sensors that allow us to track them remotely with high accuracy, but only using ground stations. This research aims to estimate PM2.5 and PM10 using Sentinel-5P and other open-source remote sensing data available on the Google Earth Engine (GEE) platform for heating (December 2021, January, and February 2022) and non-heating seasons (June, July, and August 2021) on the territory of the Republic of Croatia. Ground stations of the National Network for Continuous Air Quality Monitoring were used as a starting point and as ground truth data. Raw hourly data were matched to remote sensing data, and seasonal models were trained at the national and regional scale using machine learning. The proposed approach uses a random forest algorithm with a percentage split of 70% and gives moderate to high accuracy regarding the temporal frame of the data. The mapping gives us visual insight between the ground and remote sensing data and shows the seasonal variations of PM2.5 and PM10. The results showed that the proposed approach and models could efficiently estimate air quality.

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Impact of air pollution on the environment and economy.

Cited by 26 publications

References 0 publications

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Determination of the Distribution and Sources of Inorganic Pollutants in Particular Material in the Atmosphere of Istanbul

Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data

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