Volume 15 (2023)
Volume 14 (2022)
Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Investigating Air Pollution during the Corona Era and before that in the Metropolises of Tehran, Isfahan and Qom

M Shaygan; Marzieh Mokarram

Volume 15, Issue 2 , August 2023, , Pages 101-116


  Industrial activities and urban traffic contribute to increased air pollution in large cities, resulting in a rise in various diseases among the population. Consequently, studying and investigating polluted areas is crucial for effective city management. This study aims to examine the air pollution levels ...  Read More

Investigating the Relationship between Drought and Water Quality Reduction Using Remote Sensing and Neural Network Methods

Mehran Shaygan; Marzieh Mokarram

Volume 14, Issue 2 , July 2022, , Pages 75-90


  Due to the fact that droughts can affect both water quality and quantity, the purpose of this study is to determine the effect of droughts on water quality and quantity in Northern Fars province, Iran, based on drought indicators. The drought indices PCI, TVDI, and NDVI are used to study drought from ...  Read More

Investigation of Water Quality Using Fuzzy and Analytic Network Process (ANP) Methods in GIS

Mehran Shaygan; Marzieh Mokarram

Volume 13, Issue 3 , November 2021, , Pages 113-126


  Fars province has a shortage of surface water resources due to its location in arid and semi-arid regions in Iran. Therefore, in order to exploit groundwater resources, determining water quality is very important. Due to the importance of the subject in this study, the aim is to determine the quality ...  Read More

The combination of attraction model and genetic algorithm to predict stream networks

M Shaygan; M Mokarram

Volume 12, Issue 2 , August 2020, , Pages 83-94


  The aim of this study was to use the attraction model to increase the spatial resolution of the Digital Elevation Model (DEM) and to use the genetic algorithm to predict stream network in the future and compare its results with stream of extraction of DEM with resolution of 30 m. In the quadrant neighborhood, ...  Read More

Designing a Multi-objective Optimization Model of Land Use, based on Genetic Algorithms (Case study: Kerman- Rodbar Watershed)
Volume 7, Issue 1 , December 2015, , Pages 39-57

  With the increase in population and consequent increasing needs of society, land use planning is of particular importance. Land use planningdue to being involved with several conflicting aims, multi- objective evolutionary algorithm would be a useful tool to solve land use planning. But use of these ...  Read More