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Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

Scientific reports, 2021-01, Vol.11 (1), p.1-9, Article 1805

2021

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Applying landscape metrics and structural equation modeling to predict the effect of urban green space on air pollution and respiratory mortality in Tehran

Environmental monitoring and assessment, 2020-06, Vol.192 (7), p.412-412, Article 412

2020

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Seasonal occurrence, source apportionment, and cancer risk assessment of PAHs in the second largest international holy metropolitan: Mashhad, Iran

Environmental science and pollution research international, 2022-02, Vol.29 (9), p.13279-13291

2022

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Spatio-temporal variation and risk assessment of polycyclic aromatic hydrocarbons (PAHs) in surface dust of Qom metropolis, Iran

Environmental science and pollution research international, 2021-02, Vol.28 (8), p.9276-9289

2021

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Air carbon monoxide forecasting using an artificial neural network in comparison with multiple regression

Modeling earth systems and environment, 2020-09, Vol.6 (3), p.1467-1475

2020

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Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj)

Waste management (Elmsford), 2010-05, Vol.30 (5), p.912-920

2010

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Assessment of Particulate Matter, Heavy Metals, and Carbon Deposition Capacities of Urban Tree Species in Tehran, Iran

Forests, 2024-02, Vol.15 (2), p.273

2024

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Source identification and pollution degree of deposited dust on green space in Tehran

Environmental monitoring and assessment, 2020-08, Vol.192 (8), p.535-535, Article 535

2020

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Sand Dune Encroachment and Desertification Processes of the Rigboland Sand Sea, Central Iran

Scientific reports, 2017-05, Vol.7 (1), p.1523-10, Article 1523

2017

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Response of Platanus orientalis leaves to urban pollution by heavy metals

Journal of forestry research, 2019-08, Vol.30 (4), p.1437-1445

2019

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The effectiveness of urban trees in reducing airborne particulate matter by dry deposition in Tehran, Iran

Environmental monitoring and assessment, 2021-12, Vol.193 (12), Article 842

2021

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Carbon stock in three mangrove forests in north Persian Gulf

Environmental earth sciences, 2022, Vol.81 (1), Article 20

2022

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Facile and cost-efficient synthesis of highly efficient CO2 adsorbents: a pathway towards a green environment

Journal of porous materials, 2020-12, Vol.27 (6), p.1659-1668

2020

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Numerical simulation of extreme dust storms in east of Iran by the WRF-Chem model

Natural hazards (Dordrecht), 2019-11, Vol.99 (2), p.769-796

2019

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Scenario-based planning for reduction of emitted CO2 from the Pars Special Economic Energy Zone (PSEEZ) of Iran

Environmental monitoring and assessment, 2020-09, Vol.192 (9), p.592-592, Article 592

2020

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Seasonal and spatial variations in atmospheric PM2.5-bound PAHs in Karaj city, Iran: Sources, distributions, and health risks

Sustainable cities and society, 2021-09, Vol.72, p.103020, Article 103020

2021

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Assessment of the Environmental Pollution of Trace Elements in Atmospheric Deposition of Karaj City Using Enrichment Factor and Ecological Risk Index in 2018

Muhandisī bihdāsht-i muḥīṭ (Online), 2020-05, Vol.7 (3), p.356-375

2020

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Source apportionment of PAHs and n-alkanes in respirable particles in Tehran, Iran by wind sector and vertical profile

Environmental science and pollution research international, 2014-06, Vol.21 (12), p.7757-7772

2014

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Contamination, ecological risk and source identification of metals by multivariate analysis in surface sediments of the khouran Straits, the Persian Gulf

Marine pollution bulletin, 2019-08, Vol.145, p.526-535

2019

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A one-year monitoring of spatiotemporal variations of PM2.5-bound PAHs in Tehran, Iran: Source apportionment, local and regional sources origins and source-specific cancer risk assessment

Environmental pollution (1987), 2021-04, Vol.274, p.115883, Article 115883

2021

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The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models for predicting SO2 concentration

Urban climate, 2021-05, Vol.37, p.100837, Article 100837

2021

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Using a hybrid approach to apportion potential source locations contributing to excess cancer risk of PM2.5-bound PAHs during heating and non-heating periods in a megacity in the Middle East

Environmental research, 2021-10, Vol.201, p.111617, Article 111617

2021

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Life cycle assessment of reverse osmosis for high-salinity seawater desalination process: Potable and industrial water production

Journal of cleaner production, 2023-01, Vol.382, p.135299, Article 135299

2023

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Using GIS, geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study

Marine pollution bulletin, 2019-12, Vol.149, p.110489-110489, Article 110489

2019

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Anaerobic digestion of the organic fraction of municipal solid waste in a simulated bioreactor to improve predictive modeling of landfill systems

Journal of hazardous materials advances, 2024-02, Vol.13, p.100396, Article 100396

2024

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Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

Applying landscape metrics and structural equation modeling to predict the effect of urban green space on air pollution and respiratory mortality in Tehran

Seasonal occurrence, source apportionment, and cancer risk assessment of PAHs in the second largest international holy metropolitan: Mashhad, Iran

Spatio-temporal variation and risk assessment of polycyclic aromatic hydrocarbons (PAHs) in surface dust of Qom metropolis, Iran

Air carbon monoxide forecasting using an artificial neural network in comparison with multiple regression

Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj)

Assessment of Particulate Matter, Heavy Metals, and Carbon Deposition Capacities of Urban Tree Species in Tehran, Iran

Source identification and pollution degree of deposited dust on green space in Tehran

Sand Dune Encroachment and Desertification Processes of the Rigboland Sand Sea, Central Iran

Response of Platanus orientalis leaves to urban pollution by heavy metals

The effectiveness of urban trees in reducing airborne particulate matter by dry deposition in Tehran, Iran

Carbon stock in three mangrove forests in north Persian Gulf

Facile and cost-efficient synthesis of highly efficient CO2 adsorbents: a pathway towards a green environment

Numerical simulation of extreme dust storms in east of Iran by the WRF-Chem model

Scenario-based planning for reduction of emitted CO2 from the Pars Special Economic Energy Zone (PSEEZ) of Iran

Seasonal and spatial variations in atmospheric PM2.5-bound PAHs in Karaj city, Iran: Sources, distributions, and health risks

Assessment of the Environmental Pollution of Trace Elements in Atmospheric Deposition of Karaj City Using Enrichment Factor and Ecological Risk Index in 2018

Source apportionment of PAHs and n-alkanes in respirable particles in Tehran, Iran by wind sector and vertical profile

Contamination, ecological risk and source identification of metals by multivariate analysis in surface sediments of the khouran Straits, the Persian Gulf

A one-year monitoring of spatiotemporal variations of PM2.5-bound PAHs in Tehran, Iran: Source apportionment, local and regional sources origins and source-specific cancer risk assessment

The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models for predicting SO2 concentration

Using a hybrid approach to apportion potential source locations contributing to excess cancer risk of PM2.5-bound PAHs during heating and non-heating periods in a megacity in the Middle East

Life cycle assessment of reverse osmosis for high-salinity seawater desalination process: Potable and industrial water production

Using GIS, geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study

Anaerobic digestion of the organic fraction of municipal solid waste in a simulated bioreactor to improve predictive modeling of landfill systems

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