A review of water quality index models and their use for assessing surface water quality MG Uddin, S Nash, AI Olbert Ecological Indicators 122, 107218, 2021 | 692 | 2021 |
A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment MG Uddin, S Nash, A Rahman, AI Olbert Water Research 219, 118532, 2022 | 148 | 2022 |
Robust machine learning algorithms for predicting coastal water quality index MG Uddin, S Nash, MTM Diganta, A Rahman, AI Olbert Journal of Environmental Management 321, 115923, 2022 | 106 | 2022 |
The effects of array configuration on the hydro-environmental impacts of tidal turbines D Fallon, M Hartnett, A Olbert, S Nash Renewable Energy 64, 10-25, 2014 | 101 | 2014 |
Performance analysis of the water quality index model for predicting water state using machine learning techniques MG Uddin, S Nash, A Rahman, AI Olbert Process Safety and Environmental Protection 169, 808-828, 2023 | 99 | 2023 |
A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches MG Uddin, S Nash, A Rahman, AI Olbert Water Research 229, 119422, 2023 | 93 | 2023 |
High-resolution multi-scale modelling of coastal flooding due to tides, storm surges and rivers inflows. A Cork City example AI Olbert, J Comer, S Nash, M Hartnett Coastal Engineering 121, 278-296, 2017 | 92 | 2017 |
A review of the current understanding of the hydro-environmental impacts of energy removal by tidal turbines S Nash, A Phoenix Renewable and Sustainable Energy Reviews 80, 648-662, 2017 | 79 | 2017 |
Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations F O’Donncha, M Hartnett, S Nash, L Ren, E Ragnoli Journal of Marine Systems 142, 96-110, 2015 | 72 | 2015 |
Physical and numerical investigation of the hydrodynamic implications of aquaculture farms F O’Donncha, M Hartnett, S Nash Aquacultural engineering 52, 14-26, 2013 | 67 | 2013 |
Assessing optimization techniques for improving water quality model MG Uddin, S Nash, A Rahman, AI Olbert Journal of Cleaner Production 385, 135671, 2023 | 66 | 2023 |
Regional modelling of the 21st century climate changes in the Irish Sea AI Olbert, T Dabrowski, S Nash, M Hartnett Continental Shelf Research 41, 48-60, 2012 | 55 | 2012 |
A sophisticated model for rating water quality MG Uddin, S Nash, A Rahman, AI Olbert Science of the Total Environment 868, 161614, 2023 | 54 | 2023 |
A detailed assessment of the wave energy resource at the atlantic marine energy test site R Atan, J Goggins, S Nash Energies 9 (11), 967, 2016 | 54 | 2016 |
Modelling nutrient and chlorophyll_a dynamics in an Irish brackish waterbody M Hartnett, S Nash Environmental Modelling & Software 19 (1), 47-56, 2004 | 49 | 2004 |
Modelling the far field hydro-environmental impacts of tidal farms–A focus on tidal regime, inter-tidal zones and flushing S Nash, A Olbert, M Hartnett Computers & Geosciences 71, 20-27, 2014 | 48 | 2014 |
Assessment of wave characteristics and resource variability at a 1/4-scale wave energy test site in Galway Bay using waverider and high frequency radar (CODAR) data R Atan, J Goggins, M Harnett, P Agostinho, S Nash Ocean Engineering 117, 272-291, 2016 | 46 | 2016 |
Observation and modeling of tide-and wind-induced surface currents in Galway Bay L Ren, S Nash, M Hartnett Water Science and Engineering 8 (4), 345-352, 2015 | 41 | 2015 |
Marine waters assessment using improved water quality model incorporating machine learning approaches MG Uddin, A Rahman, S Nash, MTM Diganta, AM Sajib, M Moniruzzaman, ... Journal of Environmental Management 344, 118368, 2023 | 39 | 2023 |
High-resolution flood modeling of urban areas using MSN_Flood M Hartnett, S Nash Water Science and Engineering 10 (3), 175-183, 2017 | 38 | 2017 |