Jan Adamowski

发表

Multi-objective decision-making for green infrastructure planning (LID-BMPs) in urban storm water management under uncertainty

Ehsan Raei, Mohammad Reza Alizadeh, Mohammad Reza Nikoo, 2019 .

Hybrid artificial intelligence-time series models for monthly streamflow modeling

Jan Adamowski, Saeid Mehdizadeh, Farshad Fathian, 2019, Appl. Soft Comput..

Engineering for sustainable human development: a guide to successful small-scale community projects

Jan Adamowski, Julien Malard, J. Adamowski, 2016 .

A stochastic data-driven forecasting framework using wavelets for forecasting uncertain hydrological and water resources processes

Jan Adamowski, John Quilty, 2018 .

Modelling predation: Theoretical criteria and empirical evaluation of functional form equations for predator-prey systems

Jan Adamowski, Julien Malard, Jessica Bou Nassar, 2020 .

A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes

Jan Adamowski, John M. Quilty, J. Adamowski, 2020, Environ. Model. Softw..

Serious games as a catalyst for boundary crossing, collaboration and knowledge co-creation in a watershed governance context.

Jan Adamowski, Patrick Delaney, Steven Jean, 2018, Journal of environmental management.

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks

Jan Adamowski, Rahim Barzegar, Masoud Sattarpour, 2019, Neural Computing and Applications.

Exploring Collaborative Adaptive Management of Water Resources

Jan Adamowski, Wietske Medema, Steve Light, 2013 .

An Entropy-Based Approach to Fuzzy Multi-objective Optimization of Reservoir Water Quality Monitoring Networks Considering Uncertainties

Ehsan Raei, Mohammad Reza Nikoo, Jan Adamowski, 2018, Water Resources Management.

Interaction analysis data of simulation gaming events using the serious game Aqua Republica

Jan Adamowski, Patrick Delaney, Steven Jean, 2018, Data in brief.

A GIS Tool for Mapping Dam-Break Flood Hazards in Italy

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2019, ISPRS Int. J. Geo Inf..

Stochastic weather inputs for improved urban water demand forecasting: application of nonlinear input variable selection and machine learning methods

Jan Adamowski, John Quilty, J. Adamowski, 2015 .

Coupling of a distributed stakeholder-built system dynamics socio-economic model with SAHYSMOD for sustainable soil salinity management – Part 1: Model development

Shiv O. Prasher, Jan Adamowski, Julien Malard, 2017 .

A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2014 .

The Potential of Serious Games to Solve Water Problems: Editorial to the Special Issue on Game-Based Approaches to Sustainable Water Governance

Jan Adamowski, Arjen E. J. Wals, Wietske Medema, 2019 .

Development of expert systems for the prediction of scour depth under live-bed conditions at river confluences: Application of different types of ANNs and the M5P model tree

Mohammad Reza Nikoo, Jan Adamowski, Behnam Balouchi, 2015, Appl. Soft Comput..

Application of process mapping and causal loop diagramming to enhance engagement in pollution prevention in small to medium size enterprises: case study of a dairy processing facility

Jan Adamowski, Khosrow Farahbakhsh, Graham Aikenhead, 2015 .

Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models

Jan Adamowski, A. Belayneh, Bahaa Khalil, 2014 .

Using extreme learning machines for short-term urban water demand forecasting

Jan Adamowski, Soukayna Mouatadid, J. Adamowski, 2017 .

A review of progress in identifying and characterizing biocrusts using proximal and remote sensing

Offer Rozenstein, Jan Adamowski, J. Adamowski, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and Ontario

Jan Adamowski, Mohammad Taghi Aalami, John Quilty, 2020 .

Optimal groundwater remediation design of pump and treat systems via a simulation–optimization approach and firefly algorithm

Jan Adamowski, Richard Martel, Farhang Daneshmand, 2015 .

Comparison of wavelet-based hybrid models for the estimation of daily reference evapotranspiration in different climates

Jan Adamowski, Christopher J. Martinez, Alireza Araghi, 2018, Journal of Water and Climate Change.

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

Jan Adamowski, Ashish Pandey, John Quilty, 2014, Expert Syst. Appl..

Erratum to: Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy

Jan Adamowski, Gideon Oron, Salvatore Campisi-Pinto, 2012, Water Resources Management.

Medium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach

Jan Adamowski, Mukesh K. Tiwari, J. Adamowski, 2015 .

Optimal Remediation Design of Unconfined Contaminated Aquifers Based on the Finite Element Method and a Modified Firefly Algorithm

Jan Adamowski, Farhang Daneshmand, Mohammad Javad Kazemzadeh-Parsi, 2015, Water Resources Management.

Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Granular Computing for Prediction of Scour Below Spillways

Jan Adamowski, Farhad Hooshyaripor, Roohollah Noori, 2016, Water Resources Management.

Serious Games as Planning Support Systems: Learning from Playing Maritime Spatial Planning Challenge 2050

Jan Adamowski, Igor S. Mayer, Xander Keijser, 2018 .

Linking Spaceborne and Ground Observations of Autumn Foliage Senescence in Southern Québec, Canada

Offer Rozenstein, Jan Adamowski, J. Adamowski, 2017, Remote. Sens..

Bottom outlet dam flow: physical and numerical modelling

Jan Adamowski, Farhang Daneshmand, Tahereh Liaghat, 2014 .

Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method

Jan Adamowski, Maheswaran Rathinasamy, Rakesh Khosa, 2013 .

Use of Participatory System Dynamics Modelling for Collaborative Watershed Management in Québec, Canada

Jan Adamowski, Johannes Halbe, J. Adamowski, 2011 .

Investigating the backscatter contrast anomaly in synthetic aperture radar (SAR) imagery of the dunes along the Israel-Egypt border

Offer Rozenstein, Jan Adamowski, Zehava Siegal, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Forecasting Urban Water Demand via Machine Learning Methods Coupled with a Bootstrap Rank-Ordered Conditional Mutual Information Input Variable Selection Method

Jan Adamowski, 2014 .

Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany

Basant Yadav, Shashi Mathur, Jan Adamowski, 2016 .

A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects

Mohammad Reza Nikoo, Jan Adamowski, Mohammad Ali Khaksar Fasaee, 2015, Expert Syst. Appl..

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Hamid Reza Pourghasemi, Biswajeet Pradhan, Saro Lee, 2019, Remote. Sens..

Integrating adaptive learning into adaptive water resources management

Jan Adamowski, Wietske Medema, Stephen S. Light, 2014 .

Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment

Jan Adamowski, Bahram Choubin, Shahaboddin Shamshirband, 2019, Geocarto International.

Sequential ordering of crane service requests considering the pending times of the requests: An approach based on game theory and optimization techniques

Mohammad Reza Nikoo, Jan Adamowski, Shahryar Monghasemi, 2016 .

Parameter estimation and uncertainty analysis of the Spatial Agro Hydro Salinity Model (SAHYSMOD) in the semi-arid climate of Rechna Doab, Pakistan

Jan Adamowski, Raffaele Albano, Azhar Inam, 2017, Environ. Model. Softw..

Multi-Loop Social Learning for Sustainable Land and Water Governance: Towards a Research Agenda on the Potential of Virtual Learning Platforms

Jan Adamowski, Wietske Medema, Arjen E. J. Wals, 2014 .

Tinamit: Making coupled system dynamics models accessible to stakeholders

Jan Adamowski, Julien Malard, Héctor Tuy, 2017 .

Analysis and prediction of pest dynamics in an agroforestry context using Tiko'n, a generic tool to develop food web models

Jan Adamowski, Julien Malard, M. Rojas, 2017 .

Forecasting hydrological time series in the face of climate change

Jan Adamowski, 2010 .

Data Assimilation for Streamflow Forecasting Using Extreme Learning Machines and Multilayer Perceptrons

Jan Adamowski, Marie-Amélie Boucher, J. Quilty, 2020, Water Resources Research.

Towards sustainable water governance

Jan Adamowski, Arjen E. J. Wals, Wietske Medema, 2015 .

Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models

Jan Adamowski, Maheswaran Rathinasamy, Rakesh Khosa, 2014 .

Functional organization analysis for the design of sustainable engineering systems

Jan Adamowski, Khosrow Farahbakhsh, Claudia Pahl-Wostl, 2014 .

Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools - Challenges and Opportunities for Operative Risk Analysis

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2015, ISPRS Int. J. Geo Inf..

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

Jan Adamowski, Deepak Kumar, Bogdan Ozga-Zielinski, 2016 .

Estimation of in-situ bioremediation system cost using a hybrid Extreme Learning Machine (ELM)-particle swarm optimization approach

Basant Yadav, Shashi Mathur, Jan Adamowski, 2016 .

Corrigendum to “Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review” [J. Hydrol. 514 (2014) 358–377]

Ozgur Kisi, Vahid Nourani, Jan Adamowski, 2014 .

FloodRisk: a collaborative, free and open-source software for flood risk analysis

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2017 .

Development of a new modular software tool for agroecological food web model development: Tiko'n

Jan Adamowski, Julien Malard, Jessica Bou Nassar, 2020, European Journal of Agronomy.

Modeling sustainability visions: A case study of multi-scale food systems in Southwestern Ontario.

Jan Adamowski, Johannes Halbe, J. Adamowski, 2019, Journal of environmental management.

A Hybrid of Genetic Algorithm and Evidential Reasoning for Optimal Design of Project Scheduling: A Systematic Negotiation Framework for Multiple Decision-Makers

Mohammad Reza Nikoo, Jan Adamowski, Mohammad Ali Khaksar Fasaee, 2017, Int. J. Inf. Technol. Decis. Mak..

READY: a web-based geographical information system for enhanced flood resilience through raising awareness in citizens

Jan Adamowski, Raffaele Albano, Aurelia Sole, 2015 .

Drought Forecasting : Artificial Intelligence Methods

Jan Adamowski, Anteneh Belayneh, 2018 .

Use of Participatory Systems Dynamics Modelling to Generate User-Friendly Decision Support Systems for the Design of Management Policies for Complex Human-Environmental Systems: A Case Study from the Varied Socio-environmental Landscape of Guatemala

Jan Adamowski, Julien Malard, Hugo Melgar-Quiñonez, 2014 .

Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania

Jan Adamowski, Åke Sivertun, Raffaele Albano, 2020 .

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.

Jan Adamowski, Karen Sun, J. Adamowski, 2010 .

Towards a Consistent Approach for the Assessment and Redesign of Surface Water Quality Monitoring Networks

Jan Adamowski, Bahaa Khalil, J. Adamowski, 2013 .

An ensemble wavelet bootstrap machine learning approach to water demand forecasting: a case study in the city of Calgary, Canada

Jan Adamowski, Mukesh K. Tiwari, J. Adamowski, 2017 .

The role of paradigms in engineering practice and education for sustainable development

Jan Adamowski, Claudia Pahl-Wostl, Johannes Halbe, 2015 .

Urban water demand forecasting and uncertainty assessment using ensemble wavelet‐bootstrap‐neural network models

Jan Adamowski, Mukesh K. Tiwari, J. Adamowski, 2013 .

Comparison of OLS, ANN, KTRL, KTRL2, RLOC, and MOVE as Record-Extension Techniques for Water Quality Variables

Jan Adamowski, Bahaa Khalil, J. Adamowski, 2014, Water, Air, & Soil Pollution.

Intelligent Soft Computing Models in Water Demand Forecasting

Jan Adamowski, Sina Shabani, Peyman Yousefi, 2016 .

Numerical solution for two-dimensional flow under sluice gates using the natural element method

Jan Adamowski, Farhang Daneshmand, Tahereh Liaghat, 2010 .

A Methodological Framework to Support the Initiation, Design and Institutionalization of Participatory Modeling Processes in Water Resources Management

Jan Adamowski, Claudia Pahl-Wostl, Johannes Halbe, 2018 .

Information-theoretic-based input variable selection for hydrology and water resources

Jan Adamowski, Maheswaran Rathinasamy, John Quilty, 2018 .

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Ozgur Kisi, Vahid Nourani, Jan Adamowski, 2014 .

Development of a software tool for rapid, reproducible, and stakeholder-friendly dynamic coupling of system dynamics and physically-based models

Jan Adamowski, Azhar Inam, Elmira Hassanzadeh, 2017, Environ. Model. Softw..

Agroecological food web modelling to evaluate and design organic and conventional agricultural systems

Jan Adamowski, Julien Malard, Jessica Bou Nassar, 2020 .

Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: a case study in the Rechna Doab watershed, Pakistan.

Jan Adamowski, Johannes Halbe, Azhar Inam, 2015, Journal of environmental management.

Closure to “Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms” by Jan Adamowski and Christina Karapataki

Jan Adamowski, Christina Karapataki, 2012 .

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing

Jan Adamowski, John Quilty, Rahim Barzegar, 2021 .

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Jan Adamowski, John Quilty, Rahim Barzegar, 2021, Journal of Hydrology.

Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

Jan Adamowski, Mohammad Taghi Aalami, Rahim Barzegar, 2021, Journal of Hydrology.

A Probabilistic Model for Maximum Rainfall Frequency Analysis

Jan Adamowski, Tamara Tokarczyk, Maurycy Ciupak, 2021, Water.

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Jan Adamowski, Khabat Khosravi, John Quilty, 2021 .

Drought forecasting using new machine learning methods / Prognozowanie suszy z wykorzystaniem automatycznych samouczących się metod

Jan Adamowski, J. Adamowski, Anteneh Belayneh, 2013 .

Exploring the behavioural attributes, strategies and contextual knowledge of champions of change in the Canadian water sector

Jan Adamowski, Kate Reilly, J. Adamowski, 2014 .

Capabilities as justice: Analysing the acceptability of payments for ecosystem services (PES) through ‘social multi-criteria evaluation’

Jan Adamowski, Gonzalo Gamboa, Vijay Kolinjivadi, 2015 .

A simple mathematical model to predict sea surface temperature over the northwest Indian Ocean

Jan Adamowski, Majid Dehghani, Roohollah Noori, 2017 .

Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling

Jan Adamowski, Maheswaran Rathinasamy, John Quilty, 2016 .

Associations between large-scale climate oscillations and land surface phenology in Iran

Jan Adamowski, Jørgen E. Olesen, Alireza Araghi, 2019, Agricultural and Forest Meteorology.

On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction

Ozgur Kisi, Jan Adamowski, Mohammad Rezaie-Balf, 2019, Agricultural and Forest Meteorology.

Development of a new method of wavelet aided trend detection and estimation

Jan Adamowski, Kaz Adamowski, Andreas Prokoph, 2009 .

Estimating the aeration coefficient and air demand in bottom outlet conduits of dams using GEP and decision tree methods

Jan Adamowski, Taher Rajaee, Mohammad Zounemat-Kermani, 2017 .

Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction

Jan Adamowski, John Quilty, Bahaa Khalil, 2016 .

Flow in the Everglades

Jan Adamowski, Stephen S. Light, J. Adamowski, 2012 .

Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India

Jan Adamowski, Deepak Khare, Mahesh Kumar Jat, 2014 .

Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

Shiv O. Prasher, Jan Adamowski, V. N. Sharda, 2012 .

Estimation of the Dispersion Coefficient in Natural Rivers Using a Granular Computing Model

Jan Adamowski, Roohollah Noori, Hossien Sheikhian, 2017 .

Evaluation of data driven models for river suspended sediment concentration modeling

Ozgur Kisi, Jan Adamowski, Mohammad Zounemat-Kermani, 2016 .

Comparison of machine learning models for predicting fluoride contamination in groundwater

Jan Adamowski, Rahim Barzegar, Elham Fijani, 2017, Stochastic Environmental Research and Risk Assessment.

Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data

Jan Adamowski, Julien Malard, Alireza Araghi, 2015 .

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners

Jan Adamowski, Khabat Khosravi, Binh Thai Pham, 2019, Ground water.

Empowering marginalized communities in water resources management: addressing inequitable practices in Participatory Model Building.

Jan Adamowski, J. Adamowski, Cameron M. Butler, 2015, Journal of environmental management.

A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam

Shiv O. Prasher, Jan Adamowski, Amir Niazi, 2014 .

Crow Algorithm for Irrigation Management: A Case Study

Jan Adamowski, Saeed Farzin, Hojat Karami, 2020, Water Resources Management.

A Spectral Analysis Based Methodology to Detect Climatological Influences on Daily Urban Water Demand

Jan Adamowski, Kaz Adamowski, Andreas Prokoph, 2012, Mathematical Geosciences.

Soil failure patterns and draft as influenced by consistency limits: An evaluation of the remolded soil cutting test

Jan Adamowski, Changying Ji, Qishuo Ding, 2014 .

Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform

Jan Adamowski, Bahaa Khalil, Bogdan Ozga-Zielinski, 2013 .

A New Approach to Predict Daily pH in Rivers Based on the “à trous” Redundant Wavelet Transform Algorithm

Ravinesh C. Deo, Jan Adamowski, Taher Rajaee, 2018, Water, Air, & Soil Pollution.

Determining the amplitude and timing of streamflow discontinuities: A cross wavelet analysis approach

Jan Adamowski, Andreas Prokoph, 2014 .

Multi-objective optimization of in-situ bioremediation of groundwater using a hybrid metaheuristic technique based on differential evolution, genetic algorithms and simulated annealing

Shashi Mathur, Jan Adamowski, Sudheer Ch, 2015 .

Quantifying the spatial temporal variability of annual streamflow and meteorological changes in eastern Ontario and southwestern Quebec using wavelet analysis and GIS

Jan Adamowski, Kaz Adamowski, Andreas Prokoph, 2013 .

Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks

Jan Adamowski, Rahim Barzegar, Amir Hossein Nazemi, 2019, Environmental Science and Pollution Research.

Snow-melt flood frequency analysis by means of copula based 2D probability distributions for the Narew River in Poland

Jan Adamowski, Julien Malard, Bahaa Khalil, 2016 .

Exploring the potential impact of serious games on social learning and stakeholder collaborations for transboundary watershed management of the St. Lawrence River Basin

Jan Adamowski, Igor Mayer, Qiqi Zhou, 2016 .

Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network

Jan Adamowski, Martine van der Ploeg, Alireza Araghi, 2017 .

Estimation of the Darcy–Weisbach friction factor for ungauged streams using Gene Expression Programming and Extreme Learning Machines

Bahram Gharabaghi, Hossein Bonakdari, Jan Adamowski, 2019, Journal of Hydrology.

Analysis of trends and dominant periodicities in drought variables in India: A wavelet transform based approach

Jan Adamowski, Chandra A. Madramootoo, J. Adamowski, 2016 .

Development of a new approach based on midwave infrared spectroscopy for post-consumer black plastic waste sorting in the recycling industry.

Offer Rozenstein, Jan Adamowski, Eldon Puckrin, 2017, Waste management.

Application of effective drought index for quantification of meteorological drought events: a case study in Australia

Ravinesh C. Deo, Jan Adamowski, R. Deo, 2017, Theoretical and Applied Climatology.

Different Methods to Assess Green Infrastructure Costs and Benefits in Housing Development Projects

Jan Adamowski, Pierre Beauchamp, 2012 .

Water demand forecasting using extreme learning machines

Jan Adamowski, Mukesh K. Tiwari, J. Adamowski, 2016 .

Using support vector regression to predict direct runoff, base flow and total flow in a mountainous watershed with limited data in Uttaranchal, India

Jan Adamowski, J. Adamowski, 2013 .

Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)

Jan Adamowski, Bahaa Khalil, D. Nalley, 2012 .

Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling

Vahid Nourani, Jan Adamowski, Mekonnen Gebremichael, 2013 .

Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach

Jan Adamowski, Mir Jafar Sadegh Safari, Saeid Mehdizadeh, 2019 .

An Integrated Framework for the Development of Green Infrastructure: A Literature Review

Jan Adamowski, J. Adamowski, P. Beauchamp, 2013 .

Mitigating Socio-Economic-Environmental Impacts During Drought Periods by Optimizing the Conjunctive Management of Water Resources

Mohammad Reza Nikoo, Jan Adamowski, M. R. Bazargan-Lari, 2014, Water Resources Management.

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Ravinesh C. Deo, Jan Adamowski, Yan Li, 2019, Renewable and Sustainable Energy Reviews.

A system dynamics based socio-hydrological model for agricultural wastewater reuse at the watershed scale

Jan Adamowski, Hanseok Jeong, J. Adamowski, 2016 .

Influence of the 11 year solar cycle on annual streamflow maxima in Southern Canada

Jan Adamowski, Kaz Adamowski, Andreas Prokoph, 2012 .

A wavelet-SARIMA-ANN hybrid model for precipitation forecasting

Jan Adamowski, Yagob Dinpashoh, J. Adamowski, 2016 .

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

Jan Adamowski, John Quilty, Zhiming Qi, 2019, Journal of Hydrology.

Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods

Jan Adamowski, Bahaa Khalil, J. Adamowski, 2016, Sustainable Water Resources Management.

Socio-psychological perspectives on the potential for serious games to promote transcendental values in IWRM decision-making

Jan Adamowski, Igor Mayer, Wietske Medema, 2018 .

Design, Construction, and Operation of a Demonstration Rainwater Harvesting System for Greenhouse Irrigation at McGill University, Canada

Jan Adamowski, Mark Lefsrud, Sadman Islam, 2013 .

Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery

Jan Adamowski, J. Adamowski, Mohammad Namdar, 2011 .

Uncertainty Estimation in Flood Inundation Mapping: An Application of Non‐parametric Bootstrapping

Jan Adamowski, Majid Mirzaei, Ahmed El-Shafie, 2017 .

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

Jan Adamowski, Rahim Barzegar, Bogdan Ozga-Zielinski, 2018, Stochastic Environmental Research and Risk Assessment.

Modelling large floating bodies in urban area flash-floods via a Smoothed Particle Hydrodynamics model

Jan Adamowski, Raffaele Albano, Domenica Mirauda, 2016 .

A new approach for regional scale interrill and rill erosion intensity mapping using brightness index assessments from medium resolution satellite images

Jan Adamowski, J. Adamowski, Mohammad Namdar, 2014 .

Finite element simulation of soil failure patterns under soil bin and field testing conditions

Jan Adamowski, Julien Malard, Ji Changying, 2015 .

Comparison of machine learning methods for runoff forecasting in mountainous watersheds with limited data

Shiv O. Prasher, Jan Adamowski, J. Adamowski, 2013 .