Keywords Index

Select issue All issues Volume 1, Number 1 Volume 1, Number 2 Volume 1, Number 3 All issues

Air pollutants. Spatial–Temporal Zoning and Analysis of Air Pollution Patterns in Tehran Using Integrated Remote Sensing and GIS [Volume 1, Number 3] BLM model. Assessment of gully erosion-prone areas in the Aleshtar basin using machine learning models [Volume 1, Number 1] Early warning. Application of deep transformer neural networks for short-term river discharge prediction using hydrological data; case study: the Gorganrud river [Volume 1, Number 1] Eartquake. Adaptation of post-disaster housing to the residents' lifestyle; case study: housing reconstruction in Boroujerd after the 2006 Lorestan earthquake [Volume 1, Number 1] Groundwater level decline. Spatial assessment of land subsidence in the Sefid Dasht plain using a one-dimensional consolidation model and hydrogeological data [Volume 1, Number 2] Hydraulic Modeling “The necessity of implementing river and channel management and safety projects in populated areas in line with the National Disaster Risk Reduction Program.” [Volume 1, Number 3] Literary Analysis Metaphorical Conceptualization of Pandemics (Epidemics) in Scientific and Literary Works, with a Focus on the COVID-19 Pandemic. [Volume 1, Number 2] Pirsohrab. Resilience of rural settlements to climate change; case study: Pirsohrab rural district [Volume 1, Number 1] Rudbar city. Waste Disposal Management Model in Intermediate Cities (Case Study: Rudbar City) [Volume 1, Number 2] Tehran Province. Spatial mapping of ecological deficit and imbalance in Tehran province [Volume 1, Number 2] Tunneling. Prediction of hazards caused by faults in tunnel alignments (Case sttudy: The third part of Tehran- North Freeway) [Volume 1, Number 3] Urban resilience. Prioritization of oil and gas facilities in urban areas using a hybrid risk assessment approach [Volume 1, Number 1] Vegetation Assessment of Kamal Khan Dam Construction on Hamun Lake Drought Using Remote Sensing Technology and Sentinel-2 Satellite Imagery [Volume 1, Number 2] deep learning. Multi-level damage detection of buildings after natural disasters using deep learning models and satellite image analysis [Volume 1, Number 1]