Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction

M Tasan, Z Ghorbaninasab, S Haji-Aghajany… - Earth Science …, 2023 - Springer
Land subsidence is a hazardous phenomenon that requires accurate prediction to mitigate
losses and prevent casualties. This study explores the utilization of the Long Short-Term …

Ground water recharging methods: review study

SS Mohammed, KN Sayl, AH Kamel - AIP conference proceedings, 2023 - pubs.aip.org
Groundwater is a better long-term water supply option when the weather is dry. An
evaluation, development and suitable usage of it should be given more attention. In dry and …

Sinkhole susceptibility mapping using the analytical hierarchy process (AHP) and magnitude–frequency relationships: A case study in Hamadan province, Iran

K Taheri, F Gutiérrez, H Mohseni, E Raeisi, M Taheri - Geomorphology, 2015 - Elsevier
Since 1989, an increasing number of sinkhole occurrences have been reported in the
Kabudar Ahang and Razan–Qahavand subcatchments (KRQ) of Hamadan province …

Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms

K Taheri, H Shahabi, K Chapi… - Land Degradation & …, 2019 - Wiley Online Library
Land degradation has been recognized as one of the most adverse environmental impacts
during the last century. The occurrence of sinkholes is increasing dramatically in many …

Sinkhole hazards

F Gutiérrez - Oxford research encyclopedia of natural hazard …, 2016 - oxfordre.com
Sinkholes or dolines are closed depressions characteristic of terrains underlain by soluble
rocks (carbonates and/or evaporites). They may be related to the differential dissolutional …

Effects of climate change on groundwater level variations affected by uncertainty (case study: Razan aquifer)

MM Fallahi, S Shabanlou, A Rajabi, F Yosefvand… - Applied Water …, 2023 - Springer
In this research, the impact of the human factors and climate change on groundwater level
fluctuations affected by uncertainty within 27-year upcoming period (2018–2045) in the …

Estimation, modeling, and prediction of land subsidence using Sentinel-1 time series in Tehran-Shahriar plain: A machine learning-based investigation

Z Azarakhsh, M Azadbakht, A Matkan - Remote Sensing Applications …, 2022 - Elsevier
Land subsidence (LS) is a major geologic hazard threatening most areas in Iran due to
excessive groundwater extractions. The main objective of this study was to estimate LS …

[HTML][HTML] Can river flow prevent land subsidence in urban areas?

A Sharifi, B Khodaei, A Ahrari, H Hashemi… - Science of the Total …, 2024 - Elsevier
Land subsidence, a silent death, occurs due to various factors like significant reduction in
groundwater (GW) levels. It is a widespread phenomenon with irreparable consequences on …

Critical zone assessments of an alluvial aquifer system using the multi-influencing factor (MIF) and analytical hierarchy process (AHP) models in Western Iran

K Taheri, TM Missimer, M Taheri, H Moayedi… - Natural Resources …, 2020 - Springer
Many arid regions in the world suffer from over-exploitation of local groundwater resources
leading to the degradation of freshwater aquifer systems, drying of spring discharges, and …

The impact of groundwater drawdown and vacuum pressure on sinkhole development. Physical laboratory models

X Xiao, F Gutierrez, J Guerrero - Engineering Geology, 2020 - Elsevier
A considerable proportion of the damaging sinkholes worldwide correspond to human-
induced subsidence events related to groundwater withdrawal and the associated water …