Contents
Stable Alluvial Channel Design
Bonakdari, H., Gholami, A., Sattar, A. M., & Gharabaghi, B. (2020). Development of robust evolutionary polynomial regression network in the estimation of stable alluvial channel dimensions. Geomorphology, 350, 106895. https://doi.org/10.1016/j.geomorph.2019.106895
Kazemian-Kale-Kale, A., Bonakdari, H., Gholami, A., & Gharabaghi, B. (2020). The uncertainty of the Shannon entropy model for shear stress distribution in circular channels. International Journal of Sediment Research, 35(1), 57-68. https://doi.org/10.1016/j.ijsrc.2019.07.001
Bonakdari, H., Gholami, A., & Gharabaghi, B. (2019, July). Modelling Stable Alluvial River Profiles Using Back Propagation-Based Multilayer Neural Networks. In Intelligent Computing-Proceedings of the Computing Conference (pp. 607-624). Springer, Cham. https://doi.org/10.1007/978-3-030-22871-2_41
Bonakdari, H., Qasem, S. N., Ebtehaj, I., Zaji, A. H., Gharabaghi, B., & Moazamnia, M. (2020). An expert system for predicting the velocity field in narrow open channel flows using self-adaptive extreme learning machines. Measurement, 151, 107202. https://doi.org/10.1016/j.measurement.2019.107202
Gholami, A., Bonakdari, H., Mohammadian, M., Zaji, A. H., & Gharabaghi, B. (2019). Assessment of geomorphological bank evolution of the alluvial threshold rivers based on entropy concept parameters. Hydrological Sciences Journal, 64(7), 856-872. https://doi.org/10.1080/02626667.2019.1608995
Gholami, A., Bonakdari, H., Samui, P., Mohammadian, M., & Gharabaghi, B. (2019). Predicting stable alluvial channel profiles using emotional artificial neural networks. Applied Soft Computing, 78, 420-437. https://doi.org/10.1016/j.asoc.2019.03.003
Gholami, A., Bonakdari, H., Zeynoddin, M., Ebtehaj, I., Gharabaghi, B., & Khodashenas, S. R. (2019). Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques. Neural Computing and Applications, 31(10), 5799-5817. https://doi.org/10.1007/s00521-018-3411-7
Bonakdari, H., Gharabaghi, B., & Ebtehaj, I. (2018, July). Extreme Learning Machines in Predicting the Velocity Distribution in Compound Narrow Channels. In Science and Information Conference (pp. 119-128). Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_9
Gholami, A., Bonakdari, H., Ebtehaj, I., Gharabaghi, B., Khodashenas, S. R., Talesh, S. H. A., & Jamali, A. (2018). A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS. Engineering Geology, 239, 298-309. https://doi.org/10.1016/j.enggeo.2018.03.030
Gholami, A., Bonakdari, H., Ebtehaj, I., Mohammadian, M., Gharabaghi, B., & Khodashenas, S. R. (2018). Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing. Measurement, 121, 294-303. https://doi.org/10.1016/j.measurement.2018.02.070
Shaghaghi, S., Bonakdari, H., Gholami, A., Kisi, O., Shiri, J., Binns, A. D., & Gharabaghi, B. (2018). Stable alluvial channel design using evolutionary neural networks. Journal of hydrology, 566, 770-782. https://doi.org/10.1016/j.jhydrol.2018.09.057
Shaghaghi, S., Bonakdari, H., Gholami, A., Kisi, O., Binns, A., & Gharabaghi, B. (2018). Predicting the geometry of regime rivers using M5 model tree, multivariate adaptive regression splines and least square support vector regression methods. International Journal of River Basin Management, 1-20. https://doi.org/10.1080/15715124.2018.1546731
Kazemian-Kale-Kale, A., Bonakdari, H., Gholami, A., Khozani, Z. S., Akhtari, A. A., & Gharabaghi, B. (2018). Uncertainty analysis of shear stress estimation in circular channels by Tsallis entropy. Physica A: Statistical Mechanics and its Applications, 510, 558-576. https://doi.org/10.1016/j.physa.2018.07.014
Stream Assessment and Restoration
Milukow, H. A., Binns, A. D., Adamowski, J., Bonakdari, H., & Gharabaghi, B. (2019). Estimation of the Darcy–Weisbach friction factor for ungauged streams using Gene Expression Programming and Extreme Learning Machines. Journal of hydrology, 568, 311-321. https://doi.org/10.1016/j.jhydrol.2018.10.073
Gharabaghi, B., & Sattar, A. M. (2017). Empirical models for longitudinal dispersion coefficient in natural streams. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2017.01.022
Ou, X., Gharabaghi, B., McBean, E., & Doherty, C. (2017). Investigation of the Tank Model for Urban Storm Water Management. Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.C421
Atieh, M., Taylor, G., Sattar, A. M., & Gharabaghi, B. (2017). Prediction of flow duration curves for ungauged basins. Journal of hydrology, 545, 383-394. https://doi.org/10.1016/j.jhydrol.2016.12.048
Sattar, A. M., Plesiński, K., Radecki-Pawlik, A., & Gharabaghi, B. (2017). Scour depth model for grade-control structures. Journal of Hydroinformatics, 20(1), 117-133. https://doi.org/10.2166/hydro.2017.149
Gazendam, E., Gharabaghi, B., Ackerman, J. D., & Whiteley, H. (2016). Integrative neural networks models for stream assessment in restoration projects. Journal of hydrology, 536, 339-350. https://doi.org/10.1016/j.jhydrol.2016.02.057
Atieh, M., Mehltretter, S. L., Gharabaghi, B., & Rudra, R. (2015). Integrative neural networks model for prediction of sediment rating curve parameters for ungauged basins. Journal of Hydrology, 531, 1095-1107. https://doi.org/10.1016/j.jhydrol.2015.11.008
Atieh, M., Gharabaghi, B., & Rudra, R. (2015). Entropy-based neural networks model for flow duration curves at ungauged sites. Journal of Hydrology, 529, 1007-1020. https://doi.org/10.1016/j.jhydrol.2015.08.068
Sattar, A. M., & Gharabaghi, B. (2015). Gene expression models for prediction of longitudinal dispersion coefficient in streams. Journal of Hydrology, 524, 587-596. https://doi.org/10.1016/j.jhydrol.2015.03.016
Disley, T., Gharabaghi, B., Mahboubi, A. A., & McBean, E. A. (2015). Predictive equation for longitudinal dispersion coefficient. Hydrological processes, 29(2), 161-172. https://doi.org/10.1002/hyp.10139
Gazendam, E., Gharabaghi, B., Jones, F. C., & Whiteley, H. (2011). Evaluation of the Qualitative Habitat Evaluation Index as a planning and design tool for restoration of rural Ontario waterways. Canadian Water Resources Journal, 36(2), 149-158. https://doi.org/10.4296/cwrj3602827
Inkratas, C., Gharabaghi, B., Beltaos, S., & Krishnappan, B. (2009). 3D modelling of ice-covered flows in the vicinity of a deep hole in the East Channel of the Mackenzie Delta, NWT. Canadian Journal of Civil Engineering, 36(5), 791-800. https://doi.org/10.1139/L09-031
Gazendam, E., Gharabaghi, B., McBean, E., Whiteley, H., & Kostaschuk, R. (2009). Ranking of waterways susceptible to adverse stormwater effects. Canadian Water Resources Journal, 34(3), 205-228. https://doi.org/10.4296/cwrj3403205
Gharabaghi, B., Inkratas, C., Beltaos, S., & Krishnappan, B. (2007). Modelling of three-dimensional flow velocities in a deep hole in the East Channel of the Mackenzie Delta, Northwest Territories. Canadian Journal of Civil Engineering, 34(10), 1312-1323. https://doi.org/10.1139/l07-054
Gharabaghi, B., Inkratas, C., Krishnappan, B. G., & Rudra, R. P. (2007). Flow characteristics in a rotating circular flume. Open Civil Engineering Journal, 1(1), 30-36. https://doi.org/10.2174/1874149500701010030
Flood Forecasting and Management
Langridge, M., Gharabaghi, B., Bonakdari, H., & Walton, R. (2019). Understanding the Dynamic Nature of Catchment Response Time through Machine Learning Analysis. https://doi.org/10.1002/essoar.10501417.1
Jiang, A. Z., McBean, E. A., Binns, A., & Gharabaghi, B. (2019). Quantifying Rainfall-Derived Inflow from Private Foundation Drains in Sanitary Sewers: Case Study in London, Ontario, Canada. Journal of Hydrologic Engineering, 24(9), 05019023. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001814
Walton, R., Binns, A., Bonakdari, H., Ebtehaj, I., & Gharabaghi, B. (2019). Estimating 2-year flood flows using the generalized structure of the Group Method of Data Handling. Journal of Hydrology, 575, 671-689. https://doi.org/10.1016/j.jhydrol.2019.05.068
Bonakdari, H., Zaji, A. H., Binns, A. D., & Gharabaghi, B. (2019). Integrated Markov chains and uncertainty analysis techniques to more accurately forecast floods using satellite signals. Journal of Hydrology, 572, 75-95. https://doi.org/10.1016/j.jhydrol.2019.02.027
Sattar, A., Bonakdari, H., Gharabaghi, B., & Radecki-Pawlik, A. (2019). Hydraulic Modeling and Evaluation Equations for the Incipient Motion of Sandbags for Levee Breach Closure Operations. Water, 11(2), 279. https://doi.org/10.3390/w11020279
Zaji, A. H., Bonakdari, H., & Gharabaghi, B. (2018). Applying upstream satellite signals and a 2-D error minimization algorithm to advance early warning and management of flood water levels and river discharge. IEEE Transactions on Geoscience and Remote Sensing, 57(2), 902-910. https://doi.org/10.1109/tgrs.2018.2862640
Zaji, A. H., Bonakdari, H., & Gharabaghi, B. (2018). Remote sensing satellite data preparation for simulating and forecasting river discharge. IEEE Transactions on Geoscience and Remote Sensing, 56(6), 3432-3441. https://doi.org/10.1109/tgrs.2018.2799901
Vrban, S., Wang, Y., McBean, E. A., Binns, A., & Gharabaghi, B. (2018). Evaluation of Stormwater Infrastructure Design Storms Developed Using Partial Duration and Annual Maximum Series Models. Journal of Hydrologic Engineering, 23(12), 04018051. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001712
Perdikaris, J., Gharabaghi, B., & Rudra, R. (2018). Evaluation of the simplified dynamic wave, diffusion wave and the full dynamic wave flood routing models. Earth Sci. Res, 7(2), 14. https://doi.org/10.5539/esr.v7n2p14
Perdikaris, J., Gharabaghi, B., & Rudra, R. (2018). Reference time of concentration estimation for ungauged catchments. Earth Sci. Res, 7, 58-73. https://doi.org/10.5539/esr.v7n2p58
Perdikaris, J., Gharabaghi, B., & McBean, E. (2011). A methodology for undertaking vulnerability assessments of flood susceptible communities. International journal of safety and security engineering, 1(2), 126-146. https://doi.org/10.2495/SAFE-V1-N2-126-146
Urban Stormwater Management
Trenouth, W. R., Gharabaghi, B., & Farghaly, H. (2018). Enhanced roadside drainage system for environmentally sensitive areas. Science of The Total Environment, 610, 613-622. https://doi.org/10.1016/j.scitotenv.2017.08.081
Ebtehaj, I., Bonakdari, H., & Gharabaghi, B. (2018). Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling. Measurement, 116, 473-482. https://doi.org/10.1016/j.measurement.2017.11.023
Azimi, H., Bonakdari, H., Ebtehaj, I., Gharabaghi, B., & Khoshbin, F. (2018). Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length. Acta Mechanica, 229(3), 1197-1214. https://doi.org/10.1007/s00707-017-2043-9
Sattar, A. M. A., Gharabaghi, B., Sabouri, F., & Thompson, A. M. (2017). Urban stormwater thermal gene expression models for protection of sensitive receiving streams. Hydrological processes, 31(13), 2330-2348. https://doi.org/10.1002/hyp.11170
Sattar, A. M. A., & Gharabaghi, B. (2017). Gene Expression Programming in Open Channel Hydraulics. In Open Channel Hydraulics, River Hydraulic Structures and Fluvial Geomorphology (pp. 196-211). CRC Press. https://doi.org/10.1201/9781315120584-11
Trenouth, W. R., & Gharabaghi, B. (2016). Highway runoff quality models for the protection of environmentally sensitive areas. Journal of hydrology, 542, 143-155. https://doi.org/10.1016/j.jhydrol.2016.08.058
Sabouri, F., Gharabaghi, B., Sattar, A. M. A., & Thompson, A. M. (2016). Event-based stormwater management pond runoff temperature model. Journal of Hydrology, 540, 306-316. https://doi.org/10.1016/j.jhydrol.2016.06.017
Sabouri, F., Gharabaghi, B., McBean, E., & Tu, C. (2016). Thermal investigation of stormwater management ponds. Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.C397
Trenouth, W. R., & Gharabaghi, B. (2015). Soil amendments for heavy metals removal from stormwater runoff discharging to environmentally sensitive areas. Journal of Hydrology, 529, 1478-1487. https://doi.org/10.1016/j.jhydrol.2015.08.034
Sabouri, F., Gharabaghi, B., Mahboubi, A. A., & McBean, E. A. (2013). Impervious surfaces and sewer pipe effects on stormwater runoff temperature. Journal of hydrology, 502, 10-17. https://doi.org/10.1016/j.jhydrol.2013.08.016
Sabouri, F., Gharabaghi, B., Perera, N., & McBean, E. (2013). Evaluation of the thermal impact of stormwater management ponds. CHI Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.R246-12
Finney, K., & Gharabaghi, B. (2011). Using the PCSWMM 2010 SRTC tool to design a compost biofilter for highway stormwater runoff treatment. Journal of Water Management Modeling. https://www.doi.org/10.14796/JWMM.R241-09
Finney, K., Gharabaghi, B., McBean, E., Rudra, R., & MacMillan, G. (2010). Compost biofilters for highway stormwater runoff treatment. Water Quality Research Journal, 45(4), 391-402.
Ahmed, S. I., Rudra, R. P., Gharabaghi, B., & Pedikaris, J. (2007). Change in IDF curves for a River basin in southern Ontario. In 2007 ASAE Annual Meeting (p. 1). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/2013.23207
Bradford, A., & Gharabaghi, B. (2004). Evolution of Ontario’s stormwater management planning and design guidance. Water Quality Research Journal, 39(4), 343-355. https://doi.org/10.2166/wqrj.2004.047
Construction Site Stormwater Management
Binns, A. D., Fata, A., Ferreira da Silva, A. M., Bonakdari, H., & Gharabaghi, B. (2019). Modeling Performance of Sediment Control Wet Ponds at Two Construction Sites in Ontario, Canada. Journal of Hydraulic Engineering, 145(4), 05019001. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001581
Thompson, J., Sattar, A. M., Gharabaghi, B., & Warner, R. C. (2016). Event-based total suspended sediment particle size distribution model. Journal of hydrology, 536, 236-246. https://doi.org/10.1016/j.jhydrol.2016.02.056
Trenouth, W. R., & Gharabaghi, B. (2015). Event-based design tool for construction site erosion and sediment controls. Journal of hydrology, 528, 790-795. https://doi.org/10.1016/j.jhydrol.2015.06.054
Trenouth, W. R., & Gharabaghi, B. (2015). Event-based soil loss models for construction sites. Journal of Hydrology, 524, 780-788. https://doi.org/10.1016/j.jhydrol.2015.03.010
Trenouth, W. R., Gharabaghi, B., MacMillan, G., & Bradford, A. (2013). Better management of construction sites to protect inland waters. Inland Waters, 3(2), 167-178. https://doi.org/10.5268/IW-3.2.515
Taleban, V., Finney, K., Gharabaghi, B., McBean, E., Rudra, R., & Van Seters, T. (2009). Effectiveness of compost biofilters in removal of sediments from construction site runoff. Water Quality Research Journal, 44(1), 71-80. https://doi.org/10.2166/wqrj.2009.008
Gharabaghi, B., Fata, A., Seters, T. V., Rudra, R. P., MacMillan, G., Smith, D., & Tesa, G. (2006). Evaluation of sediment control pond performance at construction sites in the Greater Toronto Area. Canadian Journal of Civil Engineering, 33(11), 1335-1344. https://doi.org/10.1139/l06-074
Identification and Protection of Salt Vulnerable Areas
McTaggart, D., Trenouth, W. R., Stajowski, S., Farghaly, H., & Gharabaghi, B. (2018). Compost Biofilters for Protection of Environmentally Sensitive Areas Receiving Roadway Runoff. Earth Science Research, 7(2), 88. https://doi.org/10.5539/esr.v7n2p88
Delbari, M., Afrasiab, P., Gharabaghi, B., Amiri, M., & Salehian, A. (2019). Spatial variability analysis and mapping of soil physical and chemical attributes in a salt-affected soil. Arabian Journal of Geosciences, 12(3), 68. https://doi.org/10.1007/s12517-018-4207-x
Salek, M., Levison, J., Parker, B., & Gharabaghi, B. (2018). CAD-DRASTIC: chloride application density combined with DRASTIC for assessing groundwater vulnerability to road salt application. Hydrogeology Journal, 26(7), 2379-2393. https://doi.org/10.1007/s10040-018-1801-7
Trenouth, W. R., Gharabaghi, B., & Perera, N. (2015). Road salt application planning tool for winter de-icing operations. Journal of Hydrology, 524, 401-410. https://doi.org/10.1016/j.jhydrol.2015.03.004
Betts, A., Gharabaghi, B., McBean, E., Levison, J., & Parker, B. (2015). Salt vulnerability assessment methodology for municipal supply wells. Journal of Hydrology, 531, 523-533. https://doi.org/10.1016/j.jhydrol.2015.11.004
Betts, A. R., Gharabaghi, B., & McBean, E. A. (2014). Salt vulnerability assessment methodology for urban streams. Journal of hydrology, 517, 877-888. https://doi.org/10.1016/j.jhydrol.2014.06.005
Kilgour, B. W., Gharabaghi, B., & Perera, N. (2013). Ecological benefit of the road salt code of practice. Water quality research journal of Canada, 49(1), 43-52. https://doi.org/10.2166/wqrjc.2013.129
Perera, N., Gharabaghi, B., & Howard, K. (2013). Groundwater chloride response in the Highland Creek watershed due to road salt application: A re-assessment after 20 years. Journal of Hydrology, 479, 159-168. https://doi.org/10.1016/j.jhydrol.2012.11.057
Perera, N., Gharabaghi, B., Noehammer, P., & Kilgour, B. (2010). Road salt application in Highland Creek watershed, Toronto, Ontario-chloride mass balance. Water Quality Research Journal, 45(4), 451-461. https://doi.org/10.2166/wqrj.2010.044
Perera, N., Gharabaghi, B., & Noehammer, P. (2009). Stream chloride monitoring program of City of Toronto: implications of road salt application. Water Quality Research Journal, 44(2), 132-140. https://doi.org/10.2166/wqrj.2009.014
Urban Water & Wastewater Infrastructure Management
Lotfi, K., Bonakdari, H., Ebtehaj, I., Mjalli, F. S., Zeynoddin, M., Delatolla, R., & Gharabaghi, B. (2019). Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology. Journal of environmental management, 240, 463-474. https://doi.org/10.1016/j.jenvman.2019.03.137
Sattar, A. A., Elhakeem, M., Rezaie-Balf, M., Gharabaghi, B., & Bonakdari, H. (2019). Artificial intelligence models for prediction of the aeration efficiency of the stepped weir. Flow Measurement and Instrumentation, 65, 78-89. https://doi.org/10.1016/j.flowmeasinst.2018.11.017
Bonakdari, H., Ebtehaj, I., Gharabaghi, B., Vafaeifard, M., & Akhbari, A. (2019). Calculating the energy consumption of electrocoagulation using a generalized structure group method of data handling integrated with a genetic algorithm and singular value decomposition. Clean Technologies and Environmental Policy, 21(2), 379-393. https://doi.org/10.1007/s10098-018-1642-z
Akhbari, A., Ibrahim, S., Zinatizadeh, A. A., Bonakdari, H., Ebtehaj, I., S. Khozani, Z., & Gharabaghi, B. (2019). Evolutionary prediction of biohydrogen production by dark fermentation. CLEAN–Soil, Air, Water, 47(1), 1700494. https://doi.org/10.1002/clen.201700494
Sattar, A. M., Ertuğrul, Ö. F., Gharabaghi, B., McBean, E. A., & Cao, J. (2019). Extreme learning machine model for water network management. Neural Computing and Applications, 31(1), 157-169. https://doi.org/10.1007/s00521-017-2987-7
Bonakdari, H., Zaji, A. H., Gharabaghi, B., Ebtehaj, I., & Moazamnia, M. (2018). More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique. ISH Journal of Hydraulic Engineering, 1-12. https://doi.org/10.1080/09715010.2018.1498753
Bostan, M., Akhtari, A. A., Bonakdari, H., Gharabaghi, B., & Noori, O. (2018). Investigation of a new shock damper system efficiency in reducing water hammer excess pressure due to the sudden closure of a control valve. ISH Journal of Hydraulic Engineering, 1-9. https://doi.org/10.1080/09715010.2018.1479665
Gharabaghi, B., Bonakdari, H., & Ebtehaj, I. (2018, July). Hybrid evolutionary algorithm based on PSOGA for ANFIS designing in prediction of no-deposition bed load sediment transport in sewer pipe. In Science and information conference (pp. 106-118). Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_8
Post, Y. L., McBean, E., & Gharabaghi, B. (2018). Using Probabilistic Neural Networks to Analyze First Nations’ Drinking Water Advisory Data. Journal of Water Resources Planning and Management, 144(11), 05018015. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000988
Sattar, A. M. A., Bonakdari, H., Negm, A., Gharabaghi, B., & Elhakeem, M. (2018). Soil Aquifer Treatment System Design Equation for Organic Micropollutant Removal. In Groundwater in the Nile Delta (pp. 307-326). Springer, Cham. https://doi.org/10.1007/698_2017_136
Uduma, U. A., McBean, E. A., & Gharabaghi, B. (2017). Risk assessment of cyanobacteria-toxins for small drinking water treatment plants with lake water intakes. International Journal of Water Resources and Environmental Engineering, 9(6), 121-126. https://doi.org/10.5897/ijwree2016.0669
Abbassi, B.E., Abu Saleem, M., Zytner, R.G., Gharabaghi, B., & Rudra R. (2016). Antibiotics in wastewater: Their degradation and effect on wastewater treatment efficiency. Food, Agriculture and Environment (JFAE), Vol. 14, Issue 3&4, pages 95-99. Online ISSN: 1459-0263.
Sattar, A. M., Gharabaghi, B., & McBean, E. A. (2016). Prediction of timing of watermain failure using gene expression models. Water resources management, 30(5), 1635-1651. https://doi.org/10.1007/s11269-016-1241-x
Harvey, R., Murphy, H. M., McBean, E. A., & Gharabaghi, B. (2015). Using data mining to understand drinking water advisories in small water systems: A case study of Ontario First Nations drinking water supplies. Water resources management, 29(14), 5129-5139. https://doi.org/10.1007/s11269-015-1108-6
Harvey, R., McBean, E. A., & Gharabaghi, B. (2013). Predicting the timing of water main failure using artificial neural networks. Journal of Water Resources Planning and Management, 140(4), 425-434. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000354
Asnaashari, A., McBean, E. A., Gharabaghi, B., & Tutt, D. (2013). Forecasting watermain failure using artificial neural network modelling. Canadian Water Resources Journal, 38(1), 24-33. https://doi.org/10.1080/07011784.2013.774153
Asnaashari, A., McBean, E., Gharabaghi, B., Pourrajab, R., & Shahrour, I. (2010). Survival rate analyses of watermains: a comparison of case studies for Canada and Iran. Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.R236-30
Asnaashari, A., McBean, E. A., Shahrour, I., & Gharabaghi, B. (2009). Prediction of watermain failure frequencies using multiple and Poisson regression. Water Science and Technology: Water Supply, 9(1), 9-19. https://doi.org/10.2166/ws.2009.020
Agricultural Soil & Water Management
Jahanfar, A., Drake, J., Sleep, B., & Gharabaghi, B. (2018). A modified FAO evapotranspiration model for refined water budget analysis for Green Roof systems. Ecological Engineering, 119, 45-53. https://doi.org/10.1016/j.ecoleng.2018.04.021
Noori, A., Bonakdari, H., Morovati, K., & Gharabaghi, B. (2018). The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model. Environment Systems and Decisions, 38(4), 471-488. https://doi.org/10.1007/s10669-018-9673-x
Mundi, G. S., Zytner, R. G., Warriner, K., & Gharabaghi, B. (2018). Predicting fruit and vegetable processing wash-water quality. Water Science and Technology, 2017(1), 256-269. https://doi.org/10.2166/wst.2018.109
Atieh, M., Rudra, R., Gharabaghi, B., Golmohammadi, G., Mohammadi, K. (2017). Investigating solutions for irrigation water deficiency in Lebanon. Food, Agriculture and Environment, 15(2), 86-96. https://doi.org/10.1234/4.2017.1122
Mattar, M. A., Alazba, A. A., Alblewi, B., Gharabaghi, B., & Yassin, M. A. (2016). Evaluating and calibrating reference evapotranspiration models using water balance under hyper-arid environment. Water resources management, 30(11), 3745-3767. https://doi.org/10.1007/s11269-016-1382-y
Alblewi, B., Gharabaghi, B., Alazba, A. A., & Mahboubi, A. A. (2015). Evapotranspiration models assessment under hyper-arid environment. Arabian Journal of Geosciences, 8(11), 9905-9912. https://doi.org/10.1007/s12517-015-1867-7
Sayyad, G., Vasel, L., Besalatpour, A. A., Gharabaghi, B., & Golmohammadi, G. (2015). Modeling Blue and Green Water Resources Availability in an Iranian Data Scarce Watershed Using SWAT. Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.C391
Ahmed, S. I., Singh, A., Rudra, R., & Gharabaghi, B. (2013). Comparison of CANWET and HSPF for water budget and water quality modeling in rural Ontario. Water Quality Research Journal of Canada, 49(1), 53-71. https://doi.org/10.2166/wqrjc.2013.044
Singh, A., Rudra, R. P., & Gharabaghi, B. (2012). Evaluation of CANWET model for hydrologic simulations for upper Canagagigue Creek watershed in southern Ontario. Canadian Biosystems Engineering, 54(1), 7-18. Part of ISSN: 14929058
Das, S., Rudra, R. P., Gharabaghi, B., Gebremeskel, S., Goel, P. K., & Dickinson, W. T. (2008). Applicability of AnnAGNPS for Ontario conditions. Canadian Biosystems Engineering, 50(1), 1-11. EID:2-s2.0-77951848798
Ricketts, D. D., Rudra, R. P., & Gharabaghi, B. (2007). An irrigation management model for a multi‐cropping and multi‐pattern setting. Irrigation and Drainage: The journal of the International Commission on Irrigation and Drainage, 56(4), 451-462. https://doi.org/10.1002/ird.311
Motiee, H., Mcbean, E., Semsar, A., Gharabaghi, B., & Ghomashchi, V. (2006). Assessment of the contributions of traditional qanats in sustainable water resources management. International Journal of Water Resources Development, 22(4), 575-588. https://doi.org/10.1080/07900620600551304
Rural Basin Water Quality Management
Gupta, A. K., Rudra, R. P., Gharabaghi, B., Daggupati, P., Goel, P. K., & Shukla, R. (2019). CoBAGNPS: A toolbox for simulating water and sediment control basin, WASCoB through AGNPS model. Catena, 179, 49-65. https://doi.org/10.1016/j.catena.2019.02.003
Liu, Y., Yang, W., Yu, Z., Lung, I., & Gharabaghi, B. (2015). Estimating sediment yield from upland and channel erosion at a watershed scale using SWAT. Water resources management, 29(5), 1399-1412. https://doi.org/10.1007/s11269-014-0729-5
Chapi, K., Rudra, R. P., Ahmed, S. I., Khan, A. A., Gharabaghi, B., Dickinson, W. T., & Goel, P. K. (2015). Spatial-temporal dynamics of runoff generation areas in a small agricultural watershed in southern Ontario. Journal of Water Resource and Protection, 7(1), 14-40. https://doi.org/10.4236/jwarp.2015.71002
Ahmed, S. I., Rudra, R. P., Gharabaghi, B., Mackenzie, K., & Dickinson, W. T. (2012). Within-storm rainfall distribution effect on soil erosion rate. ISRN Soil Science, 2012. https://doi.org/10.13031/2013.39243
Ahmed, I., Rudra, R., McKague, K., Gharabaghi, B., & Ogilvie, J. (2007). Evaluation of the root zone water quality model (RZWQM) for southern ontario: part I. Sensitivity analysis, calibration, and validation. Water Quality Research Journal, 42(3), 202-218. https://doi.org/10.2166/wqrj.2007.024
Ahmed, I., Rudra, R., McKague, K., Gharabaghi, B., & Ogilvie, J. (2007). Evaluation of the Root Zone Water Quality Model (RZWQM) for Southern Ontario: Part II. Simulating long-term effects of nitrogen management practices on crop yield and subsurface drainage water quality. Water Quality Research Journal, 42(3), 219-230. https://doi.org/10.2166/wqrj.2007.025
Das, S., Rudra, R. P., Goel, P. K., Gharabaghi, B., & Gupta, N. (2006). Evaluation of AnnAGNPS in cold and temperate regions. Water science and technology, 53(2), 263-270. https://doi.org/10.2166/wst.2006.060
Rudra, R. P., Gharabaghi, B., Gebremeskel, S., Das, S., & Bai, H. (2006). Hydrological and water quality modeling in the Ontario River basins: comparison of model results. WIT Transactions on Ecology and the Environment, 95. https://doi.org/10.2495/WP060171
McKague, K., Rudra, R. P., Ahmed, S. I., Gharabaghi, B., & Ogilvie, J. R. (2006). Simulating effects of MERN and other BMPs on subsurface drainage water quality and crop yield in southern Ontario. Canadian Biosystems Engineering, 48, 1.31-1.40. EID: 2-s2.0-33846217011 Rudra, R. P., Dickinson, W. T., & Gharabaghi, B. (2005). Hydrological concepts critical for water quality modeling.International Agricultural Engineering Journal, 14(4), 245-253.
Agricultural BMP Assessment and Design
Gupta, A. K., Rudra, R. P., Gharabaghi, B., Goel, P. K., Sebti, S., Shukla, R., & Daggupati, P. (2019). A Modeling Approach for Evaluating Watershed-scale Water Quality Benefits of Vegetative Filter Strip-A Case Study in Ontario. Applied Engineering in Agriculture, 35(3), 271-281. https://doi.org/10.13031/aea.13121
Gupta, A. K., Rudra, R. P., Gharabaghi, B., Daggupati, P., Parkin, G., Goel, P. K., & Shukla, R. (2018) CoBAGNPS: A Toolbox to Estimate Sediment Removal Efficiency of WASCoBs–Pipe Risers and Blind Inlets. Environment and Natural Resources Research, 8(3), 84. https://doi.org/10.5539/enrr.v8n3p84
Gupta, A. K., Rudra, R. P., Gharabaghi, B., Daggupati, P., Goel, P. K., & Shukla, R. (2018). Predicting the Impact of Drainage Ditches upon Hydrology and Sediment Loads Using KINEROS 2 Model: A Case Study in Ontario. Canadian Biosystems Engineering/Le génie des biosystèmes au Canada, 60, 1-1. https://doi.org/10.7451/CBE.2018.60.1.1
DeLay, E., & Gharabaghi, B. (2018). A review of low-grade weirs as an agri-environmental best management practice in the Elginfield Municipal Drain watershed, Ontario, Canada. Journal of Soil and Water Conservation, 73(2), 42A-48A. https://doi.org/10.2489/jswc.73.2.42A
Singh, H. V., Thompson, A. M., & Gharabaghi, B. (2016). Event runoff and sediment-yield neural network models for assessment and design of management practices for small agricultural watersheds. Journal of Hydrologic Engineering, 22(2), 04016056. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001457
Stang, C., Gharabaghi, B., Rudra, R., Golmohammadi, G., Mahboubi, A. A., & Ahmed, S. I. (2016). Conservation management practices: success story of the Hog Creek and Sturgeon River watersheds, Ontario, Canada. Journal of Soil and Water Conservation, 71(3), 237-248. https://doi.org/10.2489/jswc.71.3.237
Rudra, R. P., Gharabaghi, B., Sebti, S., Gupta, N., & Moharir, A. (2010). GDVFS: A new toolkit for analysis and design of vegetative filter strips using VFSMOD. Water Quality Research Journal, 45(1), 59-68. https://doi.org/10.2166/wqrj.2010.007
Gharabaghi, B., Rudra, R. P., & Goel, P. K. (2006). Effectiveness of vegetative filter strips in removal of sediments from overland flow. Water Quality Research Journal, 41(3), 275-282. https://doi.org/10.2166/wqrj.2006.031
Gharabaghi, B., Rudra, R. P., Whiteley, H. R., & Dickinson, W. T. (2002). Development of a management tool for vegetative filter strips. Best Modeling Practices for Urban Water Systems, Monograph, 10, 289. https://doi.org/10.14796/JWMM.R208-18
Gharabaghi, B., Dickinson, W. T., Rudra, R. P., Snodgrass, W. J., & Krishnappan, B. G. (1999). Performance analysis of reinforced vegetative channel lining systems. Computers & Structures, 72(1-3), 149-164. https://doi.org/10.1016/S0045-7949(99)00005-X
Contaminant Transport in Porous Media
Safadoust, A., Amiri Khaboushan, E., Mahboubi, A. A., Gharabaghi, B., Mosaddeghi, M. R., Ahrens, B., & Hassanpour, Y. (2016). Comparison of three models describing bromide transport affected by different soil structure types. Archives of Agronomy and Soil Science, 62(5), 674-687. https://doi.org/10.1080/03650340.2015.1074184
Gharabaghi, B., Safadoust, A., Mahboubi, A. A., Mosaddeghi, M. R., Unc, A., Ahrens, B., & Sayyad, G. (2015). Temperature effect on the transport of bromide and E. coli NAR in saturated soils. Journal of Hydrology, 522, 418-427. https://doi.org/10.1016/j.jhydrol.2015.01.003
Safadoust, A., Doaei, N., Mahboubi, A. A., Mosaddeghi, M. R., Gharabaghi, B., Voroney, P., & Ahrens, B. (2016). Long-term cultivation and landscape position effects on aggregate size and organic carbon fractionation on surface soil properties in semi-arid region of Iran. Arid Land Research and Management, 30(4), 345-361. https://doi.org/10.1080/15324982.2015.1016244
Yousefi, G., Safadoust, A., Mahboubi, A. A., Gharabaghi, B., Mosaddeghi, M. R., Ahrens, B., & Shirani, H. (2014). Bromide and lithium transport in soils under long-term cultivation of alfalfa and wheat. Agriculture, Ecosystems & Environment, 188, 221-228. https://doi.org/10.1016/j.agee.2014.02.031
Sheklabadi, M., Mahmoudzadeh, H., Mahboubi, A. A., Gharabaghi, B., & Ahrens, B. (2015). Long-term land-use change effects on phosphorus fractionation in Zrêbar Lake margin soils. Archives of Agronomy and Soil Science, 61(6), 737-749. https://doi.org/10.1080/03650340.2014.954106
Sheklabadi, M., Mahmoudzadeh, H., Mahboubi, A. A., Gharabaghi, B., & Ahrens, B. (2014). Land use effects on phosphorus sequestration in soil aggregates in western Iran. Environmental monitoring and assessment, 186(10), 6493-6503. https://doi.org/10.1007/s10661-014-3869-4
Arshad, R. R., Sayyad, G., Mosaddeghi, M., & Gharabaghi, B. (2013). Predicting saturated hydraulic conductivity by artificial intelligence and regression models. ISRN Soil Science, 2013. https://doi.org/10.1155/2013/308159
Safadoust, A., Feizee, P., Mahboubi, A. A., Gharabaghi, B., Mosaddeghi, M. R., & Ahrens, B. (2014). Least limiting water range as affected by soil texture and cropping system. Agricultural Water Management, 136, 34-41. https://doi.org/10.1016/j.agwat.2014.01.007
Safadoust, A., Mahboubi, A. A., Mosaddeghi, M. R., Gharabaghi, B., Unc, A., Voroney, P., & Heydari, A. (2012). Effect of regenerated soil structure on unsaturated transport of Escherichia coli and bromide. Journal of hydrology, 430, 80-90. https://doi.org/10.1016/j.jhydrol.2012.02.003
Safadoust, A., Mahboubi, A. A., Mosaddeghi, M. R., Gharabaghi, B., Voroney, P., Unc, A., & Khodakaramian, G. (2012). Significance of physical weathering of two-texturally different soils for the saturated transport of Escherichia coli and bromide. Journal of environmental management, 107, 147-158. https://doi.org/10.1016/j.jenvman.2012.04.007
Safadoust, A., Mahboubi, A. A., Gharabaghi, B., Mosaddeghi, M. R., Voroney, P., Unc, A., & Sayyad, G. (2011). Bacterial filtration rates in repacked and weathered soil columns.Geoderma, 167, 204-213. https://doi.org/10.1016/j.geoderma.2011.08.014
Solid Waste Management
Jahanfar, A., Amirmojahedi, M., Gharabaghi, B., Dubey, B., McBean, E., & Kumar, D. (2017). A novel risk assessment method for landfill slope failure: Case study application for Bhalswa Dumpsite, India. Waste Management & Research, 35(3), 220-227. https://doi.org/10.1177/0734242X16686412
Jahanfar, A., Gharabaghi, B., McBean, E. A., & Dubey, B. K. (2017). Municipal solid waste slope stability modeling: a probabilistic approach. Journal of Geotechnical and Geoenvironmental Engineering, 143(8), 04017035. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001704
De Stefano, M., Gharabaghi, B., Clemmer, R., & Jahanfar, M. A. (2016). Berm design to reduce risks of catastrophic slope failures at solid waste disposal sites. Waste Management & Research, 34(11), 1117-1125. https://doi.org/10.1177/0734242X16662332
Jahanfar, A., Dubey, B., Gharabaghi, B., & Movahed, S. B. (2016). Landfill failure mobility analysis: a probabilistic approach. International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 10, 476-484. SOURCE-WORK-ID: 062616112227-259
Gharabaghi, B., Singh, M. K., Inkratas, C., Fleming, I. R., & McBean, E. (2008). Comparison of slope stability in two Brazilian municipal landfills. Waste management, 28(9), 1509-1517. https://doi.org/10.1016/j.wasman.2007.07.006
Air Quality Management
Aliabadi, A. A., Moradi, M., Clement, D., Lubitz, W. D., & Gharabaghi, B. (2019). Flow and temperature dynamics in an urban canyon under a comprehensive set of wind directions, wind speeds, and thermal stability conditions. Environmental Fluid Mechanics, 19(1), 81-109. https://doi.org/10.1007/s10652-018-9606-8
Freeman, B., & Gharabaghi, B. (2019). Estimating annual air emissions from nargyla water pipes in cafés and restaurants using Monte Carlo analysis. International Journal of Environmental Science and Technology, 16(6), 2539-2548. https://doi.org/10.1007/s13762-018-1662-6
Freeman, B. S., Al Matawah, J. A., Al Najjar, M., Gharabaghi, B., & Thé, J. (2019). Vehicle stacking estimation at signalized intersections with unmanned aerial systems. International Journal of Transportation Science and Technology, 8(2), 231-249. https://doi.org/10.1016/j.ijtst.2018.12.002
Sattar, A. M., Elhakeem, M., Gerges, B. N., Gharabaghi, B., & Gultepe, I. (2018). Wind-Induced Air-Flow Patterns in an Urban Setting: Observations and Numerical Modeling. Pure and Applied Geophysics, 175(8), 3051-3068. https://doi.org/10.1007/s00024-018-1846-5
Freeman, B. S., Taylor, G., Gharabaghi, B., & Thé, J. (2018). Forecasting air quality time series using deep learning. Journal of the Air & Waste Management Association, 68(8), 866-886. https://doi.org/10.1080/10962247.2018.1459956
Freeman, B., Gharabaghi, B., Thé, J., Munshed, M., Faisal, S., Abdullah, M., & Al Aseed, A. (2017). Mapping air quality zones for coastal urban centers. Journal of the Air & Waste Management Association, 67(5), 565-581. https://doi.org/10.1080/10962247.2016.1265025
Freeman, B., McBean, E., Gharabaghi, B., & Thé, J. (2017). Evaluation of air quality zone classification methods based on ambient air concentration exposure. Journal of the Air & Waste Management Association, 67(5), 550-564. https://doi.org/10.1080/10962247.2016.1263585
Freeman, B., Gharabaghi, B., & Thé, J. (2015). Estimation of mixed traffic densities in congested road using Monte Carlo analysis. EM: Air & Waste Management Association’s magazine for environmental managers, April 2015:8-13.
Freeman, B., Gharabaghi, B., Faisal, S., & Thé, J. (2015). Vehicle I/M Programs for Developing Nations. EM: Air & Waste Management Association’s magazine for environmental managers, April 2015:14-18.
Weiss, L., Thé, J., Winter, J., & Gharabaghi, B. (2018). Optimizing best management practices to control anthropogenic sources of atmospheric phosphorus deposition to inland lakes. Journal of the Air & Waste Management Association, 68(10), 1025-1037. https://doi.org/10.1080/10962247.2018.1463929
Weiss, L. (2018). A New Methodology to Manage Anthropogenic Sources of Phosphorus Deposition to Lakes: Lake Simcoe Case Study (Doctoral dissertation).
Weiss, L., Gharabaghi, B., & Thé, J. (2015). Modelling and Management of PM10 from Mobile Sources. EM: Air & Waste Management Association’s magazine for environmental managers, April 2015:24-28.
Weiss, L., Thé, J., Gharabaghi, B., Stainsby, E. A., & Winter, J. G. (2014). A new dust transport approach to quantify anthropogenic sources of atmospheric PM10 deposition on lakes. Atmospheric environment, 96, 380-392. https://doi.org/10.1016/j.atmosenv.2014.07.060
Weiss, L., Stainsby, E. A., Gharabaghi, B., Thé, J., & Winter, J. G. (2013). Mapping key agricultural sources of dust emissions within the Lake Simcoe airshed. Inland Waters, 3(2), 153-166. https://doi.org/10.5268/IW-3.2.515
Brown, L. J., Taleban, V., Gharabaghi, B., & Weiss, L. (2011). Seasonal and spatial distribution patterns of atmospheric phosphorus deposition to Lake Simcoe, ON. Journal of Great Lakes Research, 37, 15-25. https://doi.org/10.1016/j.jglr.2011.01.004
Ramkellawan, J., Gharabaghi, B., & Winter, J. G. (2009). Application of weather radar in estimation of bulk atmospheric deposition of total phosphorus over Lake Simcoe. Canadian Water Resources Journal, 34(1), 37-60. https://doi.org/10.4296/cwrj3401037
Climate Variability and Change
Nalley, D., Adamowski, J., Biswas, A., Gharabaghi, B., & Hu, W. (2019). A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO. Journal of Hydrology, 574, 288-307. https://doi.org/10.1016/j.jhydrol.2019.04.024
Wang, Y., McBean, E., & Gharabaghi, B. (2018). Increased risks of waterborne disease outbreaks in northern Ontario due to climate change. Journal of Water Management Modeling. https://doi.org/10.14796/jwmm.c436
Atieh, M., Rudra, R., Gharabaghi, B., & Lubitz, D. (2017). Investigating the Spatial and Temporal Variability of Precipitation using Entropy Theory. Journal of Water Management Modeling. https://doi.org/10.14796/jwmm.c420
Atieh, M., Rudra, R., & Gharabaghi, B. (2015). Investigation of Spatial and Temporal Variability of Precipitation using an Entropy Theory. In ASABE 1st Climate Change Symposium: Adaptation and Mitigation Conference Proceedings (pp. 1-3). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/cc.20152141843
Asnaashari, A., Gharabaghi, B., McBean, E., & Mahboubi, A. A. (2015). Reservoir management under predictable climate variability and change. Journal of Water and Climate Change, 6(3), 472-485. https://doi.org/10.2166/wcc.2015.053
Rudra, R., Dickinson, W.T., Ahmed, S. I., Patel, P., Zhou, J., & Gharabaghi, B. (2015). Changes in Rainfall Extremes in Ontario. International Journal of Environmental Research, 9 (4), 1117-1372. https://doi.org/10.22059/ijer.2015.1000
Vasiljevic, B., McBean, E., & Gharabaghi, B. (2012). Trends in rainfall intensity for stormwater designs in Ontario. Journal of Water and Climate Change, 3(1), 1-10. https://doi.org/10.2166/wcc.2012.125
McBean, E., deJong, A., & Gharabaghi, B. (2011). Groundwater in Bangladesh: implications in a climate-changing world. Water Res Manage, 1(3), 3-8.
deJong, A., McBean, E., & Gharabaghi, B. (2010). Projected climate conditions to 2100 for Regina, Saskatchewan. Canadian Journal of Civil Engineering, 37(9), 1247-1260. https://doi.org/10.1139/L10-061 McKague, K., Rudra, R., Ogilvie, J., Ahmed, I., & Gharabaghi, B. (2005). Evaluation of weather generator ClimGen for southern Ontario.Canadian Water Resources Journal, 30(4), 315-330. https://doi.org/10.4296/cwrj3004315
Hydrologic Time Series Forecasting
Zaji, A. H., Bonakdari, H., & Gharabaghi, B. (2019). Advancing Freshwater Lake Level Forecast Using King’s Castle Optimization with Training Sample Adaption and Adaptive Neuro-Fuzzy Inference System. Water Resources Management, 33(12), 4215-4230. https://doi.org/10.1007/s11269-019-02356-y
Ebtehaj, I., Bonakdari, H., & Gharabaghi, B. (2019). A reliable linear method for modeling lake level fluctuations. Journal of hydrology, 570, 236-250. https://doi.org/10.1016/j.jhydrol.2019.01.010
Zeynoddin, M., Bonakdari, H., Ebtehaj, I., Esmaeilbeiki, F., Gharabaghi, B., & Haghi, D. Z. (2019). A reliable linear stochastic daily soil temperature forecast model. Soil and Tillage Research, 189, 73-87. https://doi.org/10.1016/j.still.2018.12.023
Bonakdari, H., Moeeni, H., Ebtehaj, I., Zeynoddin, M., Mahoammadian, A., & Gharabaghi, B. (2019). New insights into soil temperature time series modeling: linear or nonlinear?. Theoretical and Applied Climatology, 135(3-4), 1157-1177. https://doi.org/10.1007/s00704-018-2436-2
Zeynoddin, M., Bonakdari, H., Azari, A., Ebtehaj, I., Gharabaghi, B., & Madavar, H. R. (2018). Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate. Journal of environmental management, 222, 190-206. https://doi.org/10.1016/j.jenvman.2018.05.072
Zaji, A. H., Bonakdari, H., & Gharabaghi, B. (2018). Reservoir water level forecasting using group method of data handling. Acta Geophysica, 66(4), 717-730. https://doi.org/10.1007/s11600-018-0168-4
Kozyn, A., Songin, K., Gharabaghi, B., & Lubitz, W. D. (2018). Predicting Archimedes Screw Generator Power Output Using Artificial Neural Networks. Journal of Hydraulic Engineering, 144(3), 05018002. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001433
Coastal Engineering
Moradi, F., Bonakdari, H., Kisi, O., Ebtehaj, I., Shiri, J., & Gharabaghi, B. (2019). Abutment scour depth modeling using neuro-fuzzy-embedded techniques. Marine Georesources & Geotechnology, 37(2), 190-200. https://doi.org/10.1080/1064119X.2017.1420113
Power, H. E., Gharabaghi, B., Bonakdari, H., Robertson, B., Atkinson, A. L., & Baldock, T. E. (2019). Prediction of wave runup on beaches using Gene-Expression Programming and empirical relationships. Coastal Engineering, 144, 47-61. https://doi.org/10.1016/j.coastaleng.2018.10.006
Robertson, B., Gharabaghi, B., & Power, H. E. (2017). Predicting breaking wave conditions using gene expression programming. Coastal Engineering Journal, 59(03), 1750017. https://doi.org/10.1142/S0578563417500176
Robertson, B., Gharabaghi, B., & Hall, K. (2015). Prediction of incipient breaking wave-heights using artificial neural networks and empirical relationships. Coastal Engineering Journal, 57(04), 1550018. https://doi.org/10.1142/S0578563415500187
Ebtehaj, I., Bonakdari, H., Moradi, F., Gharabaghi, B., & Khozani, Z. S. (2018). An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition. Coastal Engineering, 135, 1-15. https://doi.org/10.1016/j.coastaleng.2017.12.012