Search published articles


Showing 22 results for karimi

Seyyed Reza Karimi, Nabiollah Mansouri, Lobat Taghavi, Mazaher Moeinaddini,
Volume 15, Issue 2 (8-2022)
Abstract

Background and Objective: The city of Tehran is always exposed to adverse consequences due to the establishment of various sources of heavy metals. Therefore, the purpose of this study is to identify the types of heavy metals in airborne particles and the origin of heavy metals in the 21st district of Tehran.
Materials and Methods: According to the EPA standard, 5 stations from District 21 of Tehran were selected for sampling. Using the ASTM D4096 method and using a high volume sampling pump, 50 samples of total airborne particles were collected. The samples were transferred to the laboratory and the concentration of heavy metals was measured by ICP-OES. The UNMIX source model was used to identify heavy metal sources.
Results: The average concentration of heavy metals in 1400 is a decreasing trend including Li according to the concentration of heavy metals in the air in the SPECIATE database, the role of light vehicle sources was 47 percent 34 percent on the street and 18 percent at the airport.
Conclusion: The source of light vehicles exhibited the highest share of emissions and the element aluminum showed the highest concentration among heavy metals in Region 21. Therefore, the UNMIX source model can correctly identify index elements and priority sources for contaminant control.
 

Saeed Karimi, Bahareh Rahimipour,
Volume 17, Issue 1 (6-2024)
Abstract

Background and Objective: Waste management is a crucial aspect of sustainable city development due to the increasing population, urbanization expansion, and changes in consumption patterns. The purpose of this study is to identify the waste landfill in Bushehr city by considering the relationships between various criteria using the DANP (DEMATEL-ANP) method.
Materials and Methods: 17 criteria were identified to identify the suitable landfill. The weighting of these criteria was done by DANP integrated multi-criteria decision-making technique. The internal relationships of the criteria and the causal relationships between the criteria were also determined. Then, these weights were multiplied in the spatial layer of each of the criteria in the environment of geographic information systems.
Results: The most crucial criterion for selecting a suitable location for urban landfill is land use, followed by the criteria of distance from residential areas, tourist places, and the road. The study identified and evaluated five locations in Bushehr city as potential landfills based on these criteria. The eastern and southeastern parts of Bushehr city emerged as the most suitable locations for landfill among the evaluated sites.
Conclusion: The DANP model proves highly effective in identifying landfills and offers a framework for addressing issues related to waste landfill selection. This research can serve as a valuable guide for planning and locating waste landfills, providing a basis for addressing both theoretical and practical challenges associated with landfill management.
 


Page 2 from 2     

© 2025 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb