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Showing 2 results for Mohebbi Tafreshi

Prof. Mohammad Nakhaei, Dr. Amin Mohebbi Tafreshi, Dr. Tofigh Saadi,
Volume 17, Issue 4 (Winter 2023)
Abstract

A sharp drop in groundwater level as a result of indiscriminate extraction over a long period of time leads to the drying up of groundwater flows, which is called the phenomenon of groundwater drought. In this regard, this research aims to investigate the process of change and reduction of groundwater level, which is characterised by the phenomenon of groundwater drought. Based on this, the Groundwater Resource Index (GRI) was used to evaluate the drought condition of groundwater and analyse its spatial and temporal patterns based on groundwater level data of 21 observation wells between 1993 and 2019. ArcGIS software was used to create zone maps. The results of the research show that certain areas of the study area have experienced moderate to severe drought since 2001. In addition, the GRI zonation maps show that the southern and south-eastern regions of the aquifer have been more sensitive to drought than other parts of the aquifer during the defined period. The spatio-temporal pattern of groundwater drought in the aquifer shows that after a period of moderate drought from 2001 to 2003, the condition of the aquifer improved slightly, and generally stable conditions were established from 2001 to 2010, but since 2011, the occurrence of drought has intensified and the aquifer has been in severe to very severe drought conditions. These conditions highlight the need for careful attention and implementation of management measures. One of the study's recommendations is to use satellite data on groundwater levels to assess the progress of the drought, and compare it with the findings of this study.
 

Dr. Manoochehr Mortazavi Chamchali, Dr. Ghazaleh Mohebbi Tafreshi, Dr. Amin Mohebbi Tafreshi,
Volume 19, Issue 6 (Accepted Articles 2025)
Abstract

Manjil City, situated in northern Iran, faces significant seismic risk due to its proximity to active fault systems and its role as a corridor for critical regional infrastructure. Past catastrophic events have underscored the necessity of robust spatial risk assessment to mitigate human, economic, and infrastructural impacts. This study presents a comprehensive seismic risk assessment and spatial zonation for Manjil using an integrated multi-criteria evaluation approach—coupling Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and fuzzy logic. Risk was modeled as a function of the interaction between seismic hazard potential and spatial vulnerability. Vulnerability indicators, including residential density, land-use patterns, and critical urban lifelines, were standardized and weighted through the AHP framework. Our findings indicate that high-density residential areas are the primary contributors to urban vulnerability, whereas critical infrastructure components are disproportionately vital during emergency response scenarios. For the hazard assessment, a range of proxies were analyzed, including proximity to faults, fault density, peak ground acceleration (PGA), active tectonic indices, topographic slope, and lithological characteristics. These parameters reveal heightened hazard levels in zones adjacent to active faults. By applying fuzzy membership functions and a gamma operator (γ=0.9), we generated an integrated earthquake risk map, classified into five vulnerability tiers ranging from ‘very low’ to ‘very high.’ The spatial analysis delineated four distinct high-risk focal zones within the urban footprint, driven by the convergence of elevated seismic hazards and dense concentrations of residential and critical infrastructure. This research demonstrates the efficacy of the GIS–AHP–Fuzzy integration in providing a reliable, data-driven framework for evidence-based urban planning and proactive seismic risk management in seismically prone regions.


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