Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
An investigation is presented to improve on the performances of the Basic DRASTIC
Framework (BDF) and its variation by the Fuzzy-Catastrophe Framework (FCF), both of …
Framework (BDF) and its variation by the Fuzzy-Catastrophe Framework (FCF), both of …
Machine learning models combined with wavelet transform and phase space reconstruction for groundwater level forecasting
A Wei, X Li, L Yan, Z Wang, X Yu - Computers & Geosciences, 2023 - Elsevier
Reliable forecasting of groundwater levels plays an important role in water resource
management and the prevention of environmental problems. This study aims to introduce a …
management and the prevention of environmental problems. This study aims to introduce a …
A framework for 'Inclusive Multiple Modelling'with critical views on modelling practices–Applications to modelling water levels of Caspian Sea and Lakes Urmia and …
R Khatibi, MA Ghorbani, S Naghshara, H Aydin… - Journal of …, 2020 - Elsevier
A framework is formulated in this paper for data-driven modelling practices to characterise
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy–Directions of innovation towards next generation practices
R Khatibi, MA Ghorbani, FA Pourhosseini - Advanced Engineering …, 2017 - Elsevier
Stream flow prediction is studied by Artificial Intelligence (AI) in this paper using Artificial
Neural Network (ANN) as a hybrid of Multi-Layer Perceptron (MLP) with the Levenberg …
Neural Network (ANN) as a hybrid of Multi-Layer Perceptron (MLP) with the Levenberg …
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT
AA Nadiri, Z Taheri, R Khatibi, G Barzegari… - Science of the Total …, 2018 - Elsevier
Abstract Proof-of-concept (PoC) is presented for a new framework to serve as a proactive
capability to mapping subsidence vulnerability of Shabestar plain of approximately 500 km 2 …
capability to mapping subsidence vulnerability of Shabestar plain of approximately 500 km 2 …
Formulating a strategy to combine artificial intelligence models using Bayesian model averaging to study a distressed aquifer with sparse data availability
A modelling strategy is formulated, which collectively consists of separate Multiple Models
(MM) and uses Bayesian Model Averaging (BMA) to combine these MMs to learn from data …
(MM) and uses Bayesian Model Averaging (BMA) to combine these MMs to learn from data …
Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river
H Ruskeepää, LN Ferreira, MA Ghorbani… - … Research and Risk …, 2023 - Springer
This paper investigates the dynamics of the time-series of water temperature of the
Skokomish River (2019–2020) at hourly time scale by employing well-known nonlinear …
Skokomish River (2019–2020) at hourly time scale by employing well-known nonlinear …
A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction
H Delafrouz, A Ghaheri, MA Ghorbani - Soft Computing, 2018 - Springer
The main purpose of this study is to construct a new hybrid model (PSR–ANN) by combining
phase space reconstruction (PSR) and artificial neural network (ANN) techniques to raise …
phase space reconstruction (PSR) and artificial neural network (ANN) techniques to raise …
Inter-comparison of time series models of lake levels predicted by several modeling strategies
R Khatibi, MA Ghorbani, L Naghipour… - Journal of …, 2014 - Elsevier
Five modeling strategies are employed to analyze water level time series of six lakes with
different physical characteristics such as shape, size, altitude and range of variations. The …
different physical characteristics such as shape, size, altitude and range of variations. The …
Combining deterministic modelling with artificial neural networks for suspended sediment estimates
O Makarynskyy, D Makarynska, M Rayson… - Applied Soft …, 2015 - Elsevier
Estimates of suspended sediment concentrations and transport are an important part of any
marine environment assessment study because these factors have a direct impact on the life …
marine environment assessment study because these factors have a direct impact on the life …