Alireza  Moghaddam Nia

Ph.D in  Watershed Management Engineering (Hydrology)

Department of Arid and Mountainous Regions Reclamation
Faculty of Natural Resources
College of Agriculture & Natural Resources,
University of Tehran, Karaj, Iran.

Phone: 00982632249313
Fax: 00982632249313

Academic Appointments
Areas of Specialization and Research Interests
Current Teaching
Thesis Supervised
Selected Publication
 Academic Appointments TOC
AppointmentsDurationAcademic Center
Associate ProfessorStarted from 2006Faculty of Natural Resources, University of Tehran

Education TOC
Ph.D: Hydrology & Modelling (University of Bristol, UK)
M.Sc: Watershed Management (University of Tarbiat Modares)
B.Sc: Rangeland and Watershed Management (University of Tehran)

Areas of Specialization and Research Interests TOC
Flood Forecasting
Rainfall-Runoff Modelling
Expert Systems
Simulation of Hydrological Processes

Current Teaching TOC
Course TitleDegreeLevelsCourse IDCreditsSyllabusNotes
Simulation in Watershed ManagementPh.D  2
Water Resources and Issues in IranBSc.  2waterresources&issues in Iran139697-handout.pdf
Flood ControlMSc.Postgraduate 2floodcontrol-handout-final-1395.pdffloodRouting-Lecture1394-95.pdf
Hydrologic ModelsMSc.Postgraduate7201368012
Technical English LanguageBSc.Undergraduate7201267012EnglishCourse-lecture1395-96handout.pdf
Climatology of Arid RegionsMSc.Postgraduate 2
Weather and ClimatologyBSc.Undergraduate 3
New Technologies in Water HarvestingPhDPostgraduate 2NewTechnologiesinWaterHarvesting-two.pdfNewTechnologiesinWaterHarvesting-one.pdf
Pollution in Urban WatershedsMSc.Postgraduate 2PollutioninUrbanWatersheds-two.pdfPollutioninUrbanWatersheds-one.pdf

Thesis Supervised TOC

Selected Publication TOC
A. Journals Papers
Identification of homogeneous regions for regionalization of watersheds by two-level self-organizing feature maps   more...

Daily suspended sediment load prediction using artificial neural networks and support vector machines,Kakaei Lafdani, E., Moghaddam Nia, A., Ahmadi, A., JOURNAL OF HYDROLOGY, 2013, Vol.478, No. 25: 50–62,   more...

Application of Several Data-Driven Techniques for Predicting Groundwater Level, Bagher Shirmohammadi, Mehdi Vafakhah, Vahid Moosavi, Alireza Moghaddamnia,WATER RESOURCES MANAGEMENT, 2013,Vol 27:419–432, DOI 10.1007/s11269-012-0194-y   more...

Application of “panel-data” modeling to predict groundwater levels in the Neishaboor Plain, Iran, Izady, A., K. Davary, A. Alizadeh, B. Ghahraman,M. Sadeghi,A. Moghaddamnia, HYDROGEOLOGY JOURNAL, 2012, 20: 435–447, DOI 10.1007/s10040-011-0814-2   more...

Intermittent Streamflow Forecasting by Using Several Data Driven Techniques,Kisi, Ozgur; Moghaddam Nia, Alireza; Gosheh, Mohsen Ghafari; Tajabadi, Mohammad Reza Jamalizadeh;Ahmadi, Azadeh,WATER RESOURCES MANAGEMENT, 2012,Vol 26: 457-474,DOI 10.1007/s11269-011-9926-7   more...

Assessment of input variable determination on the SVM model using PCA, Gamma Test, and forward selection techniques for monthly stream flow prediction, R. Noori , A. R. Karbassi, A. Moghaddamnia, D. Han, A. Farokhnia,f, A. Khakpour, M. Ghafari Gousheh, Mohammad Hassan, Zokaei Ashtiani, JOURNAL OF HYDROLOGY, 2011, Vol.401, No. 3-4:177–189, DOI:10.1016/j.jhydrol.2011.02.021, ISSN: 0022-1694   more...

Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration, Zare Abyaneh, Hamid; Alireza, Moghaddam Nia; Maryam, Bayat Varkeshi; Safar, Marofi; and Ozgur, Kisi, ASCE JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2011,Vol.137, No.5:280–286, DOI:10.1061/(ASCE)IR.1943-4774.0000298   more...

Dust storm frequency after the 1999 drought in the Sistan region, Iran, Miri,Abbas, Alireza Moghaddamnia, Ahmad Pahlavanravi, Naser Panjehkeh, CLIMATE RESEARCH, 2010, Vol. 41: 83–90,doi:10.3354/cr00840   more...

Application of ANN and ANFIS models for reconstructing missing flow data, Dastorani, Mohammad T., A Moghadamnia, Alireza,Piri, Jamshid,Rico-Ramirez, Miguel, ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, Vol.166, No.1-4: 421-434, doi:10.1007/s10661-009-1012-8   more...

Comparison of LLR, MLP, Elman, NNARX and ANFIS Models with a case study in solar radiation estimation, A. Moghaddamnia , R. Remesan ,M. Hassanpour Kashani, M. Mohammadi, D. Han, JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2009, Vol 71, No. 8-9: 975-982 doi:10.1016/j.jastp.2009.04.009, ISSN 1364-6826   more...

Daily pan evaporation modelling in a hot and dry climate, Piri, J., Amin, S., Moghaddamnia, A., Keshavarz, A., Han, D. and Remesan, R., ASCE JOURNAL OF HYDROLOGIC ENGINEERING, 2009, Vol. 14 ,No. 8: 803-811, ISSN:1084-0699, doi:10.1061/(ASCE)HE.1943-5584.0000056    more...

Evaporation Estimation Using Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System Techniques, A. Moghaddamnia, M. Ghafari Gousheh, J. Piri, S. Amin and D. Han, ADVANCES IN WATER RESOURCES, 2009, Vol. 32 No.1: 88-97, ISSN: 0309-1708, doi:10.1016/j.advwatres.2008.10.005    more...

Reply to comments on ”Evaporation estimation using artificial neural networks and adaptive neurofuzzy inference system techniques by A. Moghaddamnia, M.Ghafari Gousheh, J. Piri, S. Amin and D. Han” , D. Han and A. Moghaddamnia, ADVANCES IN WATER RESOURCES, 2009,Vol. 32, No.6: 967-968, doi:10.1016/j.advwatres.2009.02.012, ISSN: 0309-1708    more...

Book Chapter: 'Using an Adaptive Neuro-Fuzzy Inference System in the Development of a Real-time Expert System for Flood Forecasting', Cluckie, ID, Moghaddamnia, A & Han, D., 2008, in ‘Practical Hydroinformatics: Computational intelligence and technological developments in water applications Series: Water Science and Technology Library’, Vol. 68 pp 201-214, Abrahart, Robert J.; See, Linda M.; Solomatine, Dimitri P. (Eds.) ISBN: 978-3-540-79880-4   more...

B. Conference Papers
Uncertainty with the Gamma Test for Model Input Data Selection, D. Han, W. Yan and A. Moghaddamnia, 2010 IEEE World Congress on Computational Intelligence, 18-23 July 2010, Barcelona, Spain,   more...

Model Input Data Selection by the Gamma Test, D. Han, W. Yan and A. Moghaddamnia, Geophysical Research Abstracts, Vol. 11, EGU2009-9711-2, 2009, ISSN 1029-7006   more...

Using an Adaptive Neuro-Fuzzy Inference System in the Development of a Real-Time Expert System for Flood Forecasting. Cluckie, I.D., Moghaddamnia, A., Han, D., Kraft, R., 2nd EGU General Assembly, Vienna, 24-29 May 2005. Geophysical Research Abstracts, Vol. 7, ISSN 1607-7962.   more...

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