Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm

DT Anh, M Pandey, VN Mishra, KK Singh… - Applied Soft …, 2023 - Elsevier
Today, water supply in order to achieve sustainable development goals is one of the most
important concerns and challenges in most countries. For this reason, accurate identification …

Study of geothermal energy potential as a green source of energy with a look at energy consumption in Iran

A Dashti, M Gholami Korzani - Geothermal Energy, 2021 - Springer
Regarding disadvantages of fossil fuels, renewables like geothermals can be an eco-
friendly source of energy. In Iran, the availability of fossil fuels and poor policies surrounding …

Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian-and tree-based models

SC Pal, R Chakrabortty, A Saha, SK Bozchaloei… - Bulletin of Engineering …, 2022 - Springer
The modeling and prediction of land movement susceptibility hazards, ie, debris flow,
landslide, and rock fall, can assist in controlling and preventing a variety of societal and …

A spatial analysis for geothermal energy exploration using bivariate predictive modelling

AW Tende, MD Aminu, JN Gajere - Scientific Reports, 2021 - nature.com
The development of predictive maps for geothermal resources is fundamental for its
exploration across Nigeria. In this study, spatial exploration data consisting of geology …

Integrated magnetic and gravity surveys for geothermal exploration in Central Iran

M Mohammadzadeh Moghaddam, S Mirzaei… - Arabian Journal of …, 2016 - Springer
Abstract The Delijan region of Central Iran is a popular tourist spot due to the occurrence of
hot springs and having the greatest geothermal fields in Iran. In the years 2011 and 2012, an …

Curie point depth, geothermal gradient and heat-flow estimation and geothermal anomaly exploration from integrated analysis of aeromagnetic and gravity data on the …

A Afshar, GH Norouzi, A Moradzadeh, MA Riahi… - Pure and Applied …, 2017 - Springer
Prospecting the geothermal resources in northwest of Iran, conducted in 1975, revealed
several promising areas and introduced the Sabalan geothermal field as a priority for further …

Appraising Mahallat Geothermal Region using thermal surveying data accompanied by the geological, geochemical and gravity analyses

J Nouraliee, D Ebrahimi, A Dashti… - Scientific reports, 2021 - nature.com
Abstract Mahallat Geothermal Region, located in the central part of Iran, is known as one of
the largest low-temperature geothermal fields. In this study, Mahallat geothermal resource …

Gravity and magnetic processing and inversion over the Mahallat geothermal system using open source resources in Python

VE Ardestani, D Fournier, DW Oldenburg - Pure and Applied Geophysics, 2021 - Springer
The gravity and magnetic data sets over a geothermal source are investigated to explore the
geological features and geothermal system manifestations. The raw gravity data sets are …

New structural model to understanding the subsurface hydrogeology system of the Ouled Asker groundwater, Central Tunisian Atlassic foreland, derived from an …

D Khazri, H Gabtni - Arabian Journal of Geosciences, 2022 - Springer
In arid lands, groundwater resources are the most important source of water supply. In the
study area (Sidi Bouzid region, central Tunisia), these resources are intensively exploited …

Durability assessment of Gerdoi and red travertines from Azarshahr, East Azerbaijan province, Iran

A Zalooli, M Khamehchiyan, MR Nikudel - Bulletin of Engineering Geology …, 2019 - Springer
Durability is the most important characteristic of stones in sustainable architecture. Salt
crystallization has been known to damage porous building stones. Gerdoi and red …