[HTML][HTML] Air pollution abatement performances of green infrastructure in open road and built-up street canyon environments–A review

KV Abhijith, P Kumar, J Gallagher, A McNabola… - Atmospheric …, 2017 - Elsevier
Intensifying the proportion of urban green infrastructure has been considered as one of the
remedies for air pollution levels in cities, yet the impact of numerous vegetation types …

An overview of bioaerosol load and health impacts associated with dust storms: A focus on the Middle East

Z Soleimani, P Teymouri, AD Boloorani… - Atmospheric …, 2020 - Elsevier
Dust storms are an important environmental problem worldwide. The main sources of dust
storms include the Sahara, the Middle East, and central and northeastern Asia. Dust …

Air pollution prediction by using an artificial neural network model

H Maleki, A Sorooshian, G Goudarzi, Z Baboli… - Clean technologies and …, 2019 - Springer
Air pollutants impact public health, socioeconomics, politics, agriculture, and the
environment. The objective of this study was to evaluate the ability of an artificial neural …

Temporal variations of ambient air pollutants and meteorological influences on their concentrations in Tehran during 2012–2017

F Yousefian, S Faridi, F Azimi, M Aghaei… - Scientific reports, 2020 - nature.com
We investigated temporal variations of ambient air pollutants and the influences of
meteorological parameters on their concentrations using a robust method; convergent cross …

Effect of O3, PM10 and PM2.5 on cardiovascular and respiratory diseases in cities of France, Iran and Italy

P Sicard, YO Khaniabadi, S Perez, M Gualtieri… - … science and pollution …, 2019 - Springer
At present, both tropospheric ozone (O 3) and particulate matters (PM) are among the most
threatening air pollutants for human health in cities. The air pollution effects over public …

Forecasting PM2. 5 concentration using artificial neural network and its health effects in Ahvaz, Iran

G Goudarzi, PK Hopke, M Yazdani - Chemosphere, 2021 - Elsevier
The main objective of the present study was to predict the associated health endpoint of PM
2.5 using an artificial neural network (ANN). The neural network used in this work contains a …

[HTML][HTML] Optical microscopic study of surface morphology and filtering efficiency of face masks

BB Neupane, S Mainali, A Sharma, B Giri - PeerJ, 2019 - peerj.com
Background Low-cost face masks made from different cloth materials are very common in
developing countries. The cloth masks (CM) are usually double layered with stretchable ear …

Health impacts quantification of ambient air pollutants using AirQ model approach in Hamadan, Iran

FB Asl, M Leili, Y Vaziri, SS Arian, A Cristaldi… - Environmental …, 2018 - Elsevier
Iranian western cities, including Hamadan, have been experiencing Middle East Dust
Storms (MEDS) phenomenon problems in recent years, so the air quality is getting worse …

Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling

H Gholami, A Mohamadifar, AL Collins - Atmospheric Research, 2020 - Elsevier
Spatial modelling of storm dust provenance is essential to mitigate its on-site and off-site
effects in the arid and semi-arid environments of the world. Therefore, the main aim of this …

Have international sanctions impacted Iran's environment?

K Madani - World, 2021 - mdpi.com
Economic sanctions have been actively used against Iran in the last four decades. In
response to sanctions, Iran has adopted a range of survivalist policies with notable …