Rahman Khatibi

发表

Spatial Prediction of Groundwater Level Using Models Based on Fuzzy Logic and Geostatistical Methods

A A Nadiri, Rahman Khatibi, Fatemeh Vahedi, 2019, GIS and Geostatistical Techniques for Groundwater Science.

A framework for ‘Inclusive Multiple Modelling’ with critical views on modelling practices – Applications to modelling water levels of Caspian Sea and Lakes Urmia and Van

Vahid Karimi, Rahman Khatibi, Mohammad A. Ghorbani, 2020 .

Investigating ‘risk’ of groundwater drought occurrences by using reliability analysis

Rahman Khatibi, Sina Sadeghfam, Rasoul Daneshfaraz, 2018, Ecological Indicators.

Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning

Sungwon Kim, Mohammad Ali Ghorbani, Rahman Khatibi, 2020, Scientific Reports.

Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy - Directions of innovation towards next generation practices

Mohammad Ali Ghorbani, Rahman Khatibi, F. Akhoni Pourhosseini, 2017, Adv. Eng. Informatics.

Transforming Vulnerability Indexing for Saltwater Intrusion into Risk Indexing through a Fuzzy Catastrophe Scheme

Rahman Khatibi, Sina Sadeghfam, Rasoul Daneshfaraz, 2019, Water Resources Management.

Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting

Mohammad Ali Ghorbani, Rahman Khatibi, Ali Danandeh Mehr, 2018, Journal of Hydrology.

Formulating a strategy to combine artificial intelligence models using Bayesian model averaging to study a distressed aquifer with sparse data availability

Rahman Khatibi, Yousef Hassanzadeh, Sina Sadeghfam, 2019, Journal of Hydrology.

Modelling groundwater level variations by learning from multiple models using fuzzy logic

Rahman Khatibi, Keyvan Naderi, Ata Allah Nadiri, 2019, Hydrological Sciences Journal.

Vision statement on open architecture for hydraulic modelling software tools

Rahman Khatibi, Paul Samuels, Adri Verwey, 2004 .

Evolutionary systemic modelling of practices on flood risk

Rahman Khatibi, R. Khatibi, 2011 .

Dynamics of hourly sea level at Hillarys Boat Harbour, Western Australia: a chaos theory perspective

Mohammad Ali Ghorbani, Dina Makarynska, Rahman Khatibi, 2011 .

Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM).

Rahman Khatibi, Sina Sadeghfam, Asghar Asghari Moghaddam, 2017, The Science of the total environment.

Closure of "Identification Problem of Open-Channel Friction Parameters"

Rahman Khatibi, John Williams, Peter R. Wormleaton, 1999 .

Comparison of three artificial intelligence techniques for discharge routing

Mohammad Ali Ghorbani, Ozgur Kisi, Rahman Khatibi, 2011 .

Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures.

Rahman Khatibi, Ata Allah Nadiri, Maryam Gharekhani, 2017, The Science of the total environment.

Mapping Aquifer Vulnerability Indices Using Artificial Intelligence-running Multiple Frameworks (AIMF) with Supervised and Unsupervised Learning

Rahman Khatibi, Ata Allah Nadiri, Maryam Gharekhani, 2018, Water Resources Management.

Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models

Rahman Khatibi, Asghar Asghari Moghaddam, Ata Allah Nadiri, 2017, Environmental Science and Pollution Research.

Some Issues in Computational Hydraulics Practice

Rahman Khatibi, 2001 .

Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks.

Rahman Khatibi, Sina Sadeghfam, Ata Allah Nadiri, 2018, Journal of environmental management.

Soil Cation Exchange Capacity Predicted by Learning From Multiple Modelling: Forming Multiple Models Run by SVM to Learn From ANN and Its Hybrid With Firefly Algorithm

Mohammad Ali Ghorbani, Rahman Khatibi, Rasoul Jani, 2018 .

Transforming subsidence vulnerability indexing based on ALPRIFT into risk indexing using a new fuzzy-catastrophe scheme

Rahman Khatibi, Sina Sadeghfam, Ata Allah Nadiri, 2020 .

Introducing a risk aggregation rationale for mapping risks to aquifers from point- and diffuse-sources–proof-of-concept using contamination data from industrial lagoons

Rahman Khatibi, Yousef Hassanzadeh, Sina Sadeghfam, 2018, Environmental Impact Assessment Review.

Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stations

Mohammad Ali Ghorbani, Rahman Khatibi, Mohammad Taghi Aalami, 2012, Neural Computing and Applications.

Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence

Mohammad Ali Ghorbani, Rahman Khatibi, Farzin Salmasi, 2014, Water Resources Management.

Barriers inherent in flood forecasting and their treatments

Rahman Khatibi, R. Khatibi, 2005 .

Groundwater DRASTIC vulnerability mapping by unsupervised and supervised techniques using a modelling strategy in two levels

Rahman Khatibi, Ata Allah Nadiri, Maryam Gharekhani, 2019, Journal of Hydrology.

Developing a predictive tropospheric ozone model for Tabriz

Rahman Khatibi, Hadi Arvanaghi, Mohammad A. Ghorbani, 2013 .

Inclusive Multiple Models (IMM) for predicting groundwater levels and treating heterogeneity

Rahman Khatibi, Ata Allah Nadiri, R. Khatibi, 2021 .

Systemic knowledge management in hydraulic systems: II. Application to hydraulic systems

Rahman Khatibi, 2003 .

Open Architecture In Flood Forecasting Systems

Rahman Khatibi, T. Harrison, P. Wade, 2001 .

Experimental studies on scour of supercritical flow jets in upstream of screens and modelling scouring dimensions using artificial intelligence to combine multiple models (AIMM)

Rahman Khatibi, Sina Sadeghfam, Rasoul Daneshfaraz, 2019 .

Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks

Mohammad Ali Ghorbani, Rahman Khatibi, Jalal Shiri, 2010, Comput. Geosci..

Predictive groundwater levels modelling by Inclusive Multiple Modelling (IMM) at multiple levels

Rahman Khatibi, Ata Allah Nadiri, Zahra Sedghi, 2021, Earth Science Informatics.

Modeling river discharge time series using support vector machine and artificial neural networks

Mohammad Ali Ghorbani, Rahman Khatibi, Arun Goel, 2016, Environmental Earth Sciences.

Study of discontinuities in hydrological data using catastrophe theory

Mohammad Ali Ghorbani, Rahman Khatibi, Bellie Sivakumar, 2010 .

Identification Problem of Open-Channel Friction Parameters

Rahman Khatibi, Peter R. Wormleaton, P. R. Wormleaton, 1997 .

A study of friction factor formulation in pipes using artificial intelligence techniques and explicit equations

Mohammad Ali Ghorbani, Rahman Khatibi, Farzin Salmasi, 2012 .

Hydraulic classification of irrigation supply systems Classification hydraulique des systèmes d'alimentation d'irrigation

Rahman Khatibi, 2003 .

Investigating chaos in river stage and discharge time series

Mohammad Ali Ghorbani, Ozgur Kisi, Rahman Khatibi, 2012 .

Mapping groundwater potential field using catastrophe fuzzy membership functions and Jenks optimization method: a case study of Maragheh-Bonab plain, Iran

Rahman Khatibi, Yousef Hassanzadeh, Sina Sadeghfam, 2016, Environmental Earth Sciences.

Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'.

Rahman Khatibi, Sina Sadeghfam, Ata Allah Nadiri, 2018, Journal of environmental management.

Inter-Comparison of an Evolutionary Programming Model of Suspended Sediment Time-Series with Other Local Models

Mohammad Ali Ghorbani, Rahman Khatibi, Hakimeh Asadi, 2012 .

Sample size determination in open-channel inverse problems

Rahman Khatibi, 2001 .