Ali Nikoonahad
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Featured researches published by Ali Nikoonahad.
Chemosphere | 2017
Ahmad Alahabadi; Mohammad Hassan Ehrampoush; Mohammad Reza Miri; Hamideh Ebrahimi Aval; Samira Yousefzadeh; Hamid Reza Ghaffari; Ehsan Ahmadi; Parvaneh Talebi; Zeynab Abaszadeh Fathabadi; Fatemeh Babai; Ali Nikoonahad; Kiomars Sharafi; Ahmad Hosseini-Bandegharaei
Heavy metals (HMs) in the urban environment can be bio-accumulated by plant tissues. The aim of this study was to compare fourteen different tree species in terms of their capability to accumulate four airborne and soilborne HMs including; zinc (Zn), copper (Cu), lead (Pb), and cadmium (Cd). Samplings were performed during spring, summer, and fall seasons. To compare bioaccumulation ability, bio-concentration factor (BCF), comprehensive bio-concentration index (CBCI), and metal accumulation index (MAI) were applied. Species with the highest accumulation for single metal which shown using BCF did not have the highest CBCI and MAI. Based on CBCI and MAI, Pinus eldarica (7.74), Wistaria sinensis (8.82), Morus alba (8.7), and Nigral morus (27.15) had the highest bioaccumulation capacity of HMs, respectively. Therefore, these species can be used for phytoextraction of HMs pollution and green and buffer zone in the urban.
Acta Tropica | 2016
Mehdi Mokhtari; Mohammad Miri; Ali Nikoonahad; Ali Jalilian; Razi Naserifar; Hamid Reza Ghaffari; Farogh Kazembeigi
The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value≤0.05) between CL prevalence and 11 (64%) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control.
PeerJ | 2018
Ali Nikoonahad; Babak Djahed; Samira Norzaee; Hadi Eslami; Zahra Derakhshan; Mohammad Reza Miri; Yadolah Fakhri; Edris Hoseinzadeh; Seyed Mehdi Ghasemi; Davoud Balarak; Reza Ali Fallahzadeh; Mansur Zarrabi; Mahmoud Taghavi
Organic pollutants contaminate water resources and the environment when discharged into water streams. Also, the presence of these materials in incompletely treated or untreated wastewater leads to serious environmental hazards. The hydroxyl radicals and holes are regarded as the most oxidant species in the degradation of organic pollutants using the studied composites. The results of this review show that heteropoly acids on supporting materials could be considered as appropriate photocatalysts in the removal of organic pollutant from aqueous solutions.
Journal of education and health promotion | 2017
Ali Abdolahnejad; Negar Jafari; Amir Mohammadi; Mohammad Reza Miri; Yaghoub Hajizadeh; Ali Nikoonahad
BACKGROUND: Air pollution is an important environmental issue due to its proven serious impacts on human health. The aim of this study was to estimate the attribution of particulate matter with an aerodynamic diameters of ≤ 2.5 and 10 (PM2.5 and PM10) in the prevalence of cardiovascular and respiratory diseases and premature deaths in Isfahan in 2013–2014. MATERIALS AND METHODS: This descriptive, ecological study was conducted to assess health impacts of PM2.5 and PM10 on the population using Air Q2.2.3 software, suggested by the World Health Organization (WHO). RESULTS: The results showed that the annual mean, winter mean, summer mean, and the 98 percentile of PM10 concentration in Isfahan were 108, 100, 116, and 264 μg/m3, respectively. The number of deaths per year related to PM2.5 was 670 and that for PM10 was 713 cases. The number of annual deaths due to cardiovascular and respiratory diseases attributed to PM10 was 316 and 68 cases, respectively. CONCLUSION: The results of this study revealed that about 44.3% of total annual death due to cardiovascular diseases and 9.55% of that due to respiratory diseases were attributed to PM10 exposure. In the other word, residents were exposed to PM2.5 and PM10 concentrations higher than the WHO guidelines which caused a notable increase in the rate of mortality.
Atmospheric Pollution Research | 2017
Yaghoub Hajizadeh; Mehdi Mokhtari; Maryam Faraji; Amir H. Mohammadi; Sepideh Nemati; Reza Ghanbari; Ali Abdolahnejad; Reza Fouladi Fard; Ali Nikoonahad; Negar Jafari; Mohammad Reza Miri
Environmental Science and Pollution Research | 2017
Ali Nikoonahad; Razi Naserifar; Vali Alipour; Ayub Poursafar; Mohammad Reza Miri; Hamid Reza Ghafari; Ali Abdolahnejad; Sepideh Nemati; Amir H. Mohammadi
Journal of Water Reuse and Desalination | 2017
Mohammad Taghi Ghaneian; Mohammad Hassan Ehrampoush; Eghbal Ehsanzadeh; Ali Nikoonahad; Mohammad Miri
Journal of Environmental Health Engineering | 2016
Mohammad Miri; Mohammad Taghi Ghaneian; Abdolmajid Gholizadeh; Mohsen Yazdani Avval; Ali Nikoonahad
Environmental Chemistry Letters | 2018
Abdolmajid Gholizadeh; Mohammad Hossein Salmani; Ali Asghar Ebrahimi; Saeede Sadat Hosseini; Mohammad Hassan Ehrampoush; Mohammad Reza Miri; Ali Nikoonahad; Hassan Pasalari
Desalination and Water Treatment | 2018
Ali Nikoonahad; Amir Hossin Mahvi; Mohammad Taghi Ghaneian; Mohammad Hassan Ehrampoush; Ali Asghar Ebrahimi; Mohammad Hassan Lotfi