The relationship between place identity and community resilience: Evidence from local communities in Isfahan, Iran

S Sobhaninia, M Amirzadeh, M Lauria… - International journal of …, 2023 - Elsevier
Today, many cities are experiencing many natural disasters and hazards due to climate
change, particularly in the Global South. Environmental risks increase acute community …

[HTML][HTML] Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence

OM Sorkhabi, B Shadmanfar, E Kiani - Results in Engineering, 2022 - Elsevier
Iran is an arid and semi-arid country, for this reason, monitoring dam reservoir storage
(DRS) is very important for water resources planning. In this research, Latyan DRS in East …

Land subsidence and groundwater storage investigation with multi sensor and extended Kalman filter

OM Sorkhabi, I Kurdpour, RE Sarteshnizi - Groundwater for Sustainable …, 2022 - Elsevier
More than 90% of Iran's provinces are facing land subsidence due to uncontrolled
groundwater extraction. In 2016, a sinkhole was created in Eij region of Estahban city. In this …

Monitoring groundwater storage based on satellite gravimetry and deep learning

O Memarian Sorkhabi, J Asgari, TO Randhir - Natural Resources …, 2023 - Springer
Improper abstraction of groundwater in Iran has led to an average annual subsidence rate of
15 cm/yr. The management of Iran's water resources is essential due to its arid and semiarid …

[HTML][HTML] Deep learning of GPS geodetic velocity

OM Sorkhabi, SMS Alizadeh, FT Shahdost… - Journal of Asian Earth …, 2022 - Elsevier
Installing permanent global positioning system (GPS) stations and receiving and monitoring
long-term crustal deformation requires a high cost. Another solution, which could be an …

Subsidence vulnerability indexing using convolutional neural networks based on clustering and regression modeling strategies

A Bagheri, S Sadeghfam, S Karimzadeh… - Groundwater for …, 2024 - Elsevier
Land subsidence triggered by groundwater over-abstraction is a topical research activity,
and this study investigates the Subsidence Vulnerability Index (SVI) using Convolutional …

[HTML][HTML] Surface Subsidence Characteristics and Causes Analysis in Ningbo Plain by Sentinel-1A TS-InSAR

W Tang, AHM Ng, H Wang, J Kuang, Z Du - Remote Sensing, 2024 - mdpi.com
In recent years, the Ningbo Plain has experienced significant surface subsidence due to
urbanization and industrialization, combined with the area's unique geological and …

Discovering confined zones and land deformation characteristics across an aquifer system in Iran using GNSS and InSAR techniques

H Sabeti, A Pourmina, A Rezaei, A Tayfehrostami… - Hydrogeology …, 2023 - Springer
Aquifer characteristics provide important information for hydrogeological studies such as
groundwater simulations and development of an effective water management strategy. This …

Investigating the efficiency of deep learning methods in estimating GPS geodetic velocity

OM Sorkhabi, M Milani… - Earth and Space …, 2022 - Wiley Online Library
Geodetic velocity (GV) has many applications in tectonic motion determination and
geodynamic studies. Due to the high cost of global navigation satellite system stations, deep …

Quantifying land subsidence and its nexus with groundwater depletion in isfahan-borkhar plain: An integrated approach using radar interferometry and spatial …

FA Beni, M Entezari, A Sadeghi, A Salehi - Remote Sensing Applications …, 2024 - Elsevier
Land subsidence has emerged as a significant global concern, particularly in arid regions
like Iran. Among these vulnerable areas, the Isfahan-Borkhar plain stands out due to its …