Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Article
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376
| Article Title | Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia |
|---|---|
| ERA Journal ID | 213646 |
| Article Category | Article |
| Authors | Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan |
| Journal Title | Mathematics |
| Journal Citation | 12 (15) |
| Article Number | 2376 |
| Number of Pages | 25 |
| Year | 2024 |
| Publisher | MDPI AG |
| Place of Publication | Switzerland |
| ISSN | 2227-7390 |
| Digital Object Identifier (DOI) | https://doi.org/10.3390/math12152376 |
| Web Address (URL) | https://www.mdpi.com/2227-7390/12/15/2376 |
| Abstract | Sea level rise (SLR) attributed to the melting of ice caps and thermal expansion of seawater is of great global significance to vast populations of people residing along the world’s coastlines. The extent of SLR’s impact on physical coastal areas is determined by multiple factors such as geographical location, coastal structure, wetland vegetation and related oceanic changes. For coastal communities at risk of inundation and coastal erosion due to SLR, the modelling and projection of future sea levels can provide the information necessary to prepare and adapt to gradual sea level rise over several years. In the following study, a new model for predicting future sea levels is presented, which focusses on two tide gauge locations (Darwin and Milner Bay) in the Northern Territory (NT), Australia. Historical data from the Australian Bureau of Meteorology (BOM) from 1990 to 2022 are used for data training and prediction using artificial intelligence models and computation of mean sea level (MSL) linear projection. The study employs a new double data decomposition approach using Multivariate Variational Mode Decomposition (MVMD) and Successive Variational Mode Decomposition (SVMD) with dimensionality reduction techniques of Principal Component Analysis (PCA) for data modelling using four artificial intelligence models (Support Vector Regression (SVR), Adaptive Boosting Regressor (AdaBoost), Multilayer Perceptron (MLP), and Convolutional Neural Network–Bidirectional Gated Recurrent Unit (CNN-BiGRU). It proposes a deep learning hybrid CNN-BiGRU model for sea level prediction, which is benchmarked by SVR, AdaBoost, and MLP. MVMD-SVMD-CNN-BiGRU hybrid models achieved the highest performance values of 0.9979 (d), 0.996 (NS), 0.9409 (L); and 0.998 (d), 0.9959 (NS), 0.9413 (L) for Milner Bay and Darwin, respectively. It also attained the lowest error values of 0.1016 (RMSE), 0.0782 (MABE), 2.3699 (RRMSE), and 2.4123 (MAPE) for Darwin and 0.0248 (RMSE), 0.0189 (MABE), 1.9901 (RRMSE), and 1.7486 (MAPE) for Milner Bay. The mean sea level (MSL) trend analysis showed a rise of 6.1 ± 1.1 mm and 5.6 ± 1.5 mm for Darwin and Milner Bay, respectively, from 1990 to 2022. |
| Keywords | principal component analysis (PCA); deep learning (DL); sea level (SL); convolutional neural network (CNN); bidirectional gated recurrent unit; support vector regression (SVR); adaptive boosting regressor (AdaBoost); multivariate variational mode decomposition (MVMD); successive variational mode decomposition (SVMD) |
| Article Publishing Charge (APC) Amount Paid | 4635.8 |
| Article Publishing Charge (APC) Funding | Other |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 410103. Human impacts of climate change and human adaptation |
| 490199. Applied mathematics not elsewhere classified | |
| 460207. Modelling and simulation | |
| Byline Affiliations | School of Mathematics, Physics and Computing |
| School of Agriculture and Environmental Science |
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Singh-Peterson, Lila, Salmon, Paul, Goode, Natassia and Gallina, John. 2016. "An evaluation of the Community Disaster Resilience Scorecard Toolkit by small, high-risk communities on the Sunshine Coast." Natural Hazards. 84 (1), pp. 489-505. https://doi.org/10.1007/s11069-016-2435-5The changing face of the Mary Valley: considering the fairness, sustainability and resilience of the agricultural system in a peri-urban setting
Singh-Peterson, Lila and Lawrence, Geoffrey. 2016. "The changing face of the Mary Valley: considering the fairness, sustainability and resilience of the agricultural system in a peri-urban setting." Local Environment: the international journal of justice and sustainability. 22 (5), pp. 568-580. https://doi.org/10.1080/13549839.2016.1233953Interrogating resilience: toward a typology to improve its operationalization
Davidson, Julie L., Jacobson, Chris, Lyth, Anna, Dedekorkut-Howes, Aysin, Baldwin, Claudia L., Ellison, Joanna C., Holbrook, Neil J., Howes, Michael J., Serrao-Neumann, Silvia, Singh-Peterson, Lila and Smith, Timothy F.. 2016. "Interrogating resilience: toward a typology to improve its operationalization." Ecology and Society: a journal of integrative science for resilience and sustainability. 21 (2). https://doi.org/10.5751/es-08450-210227A multi-scalar, mixed methods framework for assessing rural communities’ capacity for resilience, adaptation, and transformation
Singh-Peterson, Lila and Underhill, Steven J. R. 2016. "A multi-scalar, mixed methods framework for assessing rural communities’ capacity for resilience, adaptation, and transformation." Community Development. 48 (1), pp. 127-140. https://doi.org/10.1080/15575330.2016.1250103Modelling secondary organic aerosol formation: from chemical mechanistic modelling to empirical modelling
Singh-Peterson, Lila. 2007. Modelling secondary organic aerosol formation: from chemical mechanistic modelling to empirical modelling. PhD Thesis Doctor of Philosophy. University of New South Wales.Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning
Raj, Nawin. 2022. "Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning." Mathematics. 10 (23). https://doi.org/10.3390/math10234533Wearable ultraviolet radiation sensors for research and personal use
Henning, Alyssa, Downs, Nathan J. and Vanos, Jennifer K.. 2022. "Wearable ultraviolet radiation sensors for research and personal use." International Journal of Biometeorology: the description, causes, and implications of climatic change. 66 (3), pp. 627-640. https://doi.org/10.1007/s00484-021-02216-8Development of data-driven models for wind speed forecasting in Australia
Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV
Brown, Jason and Raj, Nawin. 2021. "Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV." 2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2021). Bandung, Indonesia 08 - 10 Apr 2021 United States. https://doi.org/10.1109/APWiMob51111.2021.9435240Sun exposure and physical activity: the valuable role of UV wearables
Henning, Alyssa, Vanos, Jennifer and Downs, Nathan. 2021. "Sun exposure and physical activity: the valuable role of UV wearables." IEEE Technology and Society Magazine. 40 (3), pp. 16-18. https://doi.org/10.1109/MTS.2021.3101927The Impact of Initial Swarm Formation for Tracking of a High Capability Malicious UAV
Brown, Jason and Raj, Nawin. 2021. "The Impact of Initial Swarm Formation for Tracking of a High Capability Malicious UAV." International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021). Toronto, Canada 21 - 24 Apr 2021 Piscataway, United States. https://doi.org/10.1109/IEMTRONICS52119.2021.9422506Predictive Tracking of a High Capability Malicious UAV
Brown, Jason and Raj, Nawin. 2021. "Predictive Tracking of a High Capability Malicious UAV." IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC 2021). Las Vegas, United States 27 - 30 Jan 2021 Piscataway, United States. https://doi.org/10.1109/CCWC51732.2021.9376137Solar ultraviolet radiation, shade profile and heat index survey report: New South Wales playgrounds (2020 - 2021)
Downs, Nathan J.. 2021. Solar ultraviolet radiation, shade profile and heat index survey report: New South Wales playgrounds (2020 - 2021). Unpublished.Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines
Raj, Nawin and Gharineiat, zahra. 2021. "Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines." Mathematics. 9 (21), pp. 1-20. https://doi.org/10.3390/math9212696Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-xParticle and particle-like solitary wave dynamics in fluid media
Raj, Nawin. 2015. Particle and particle-like solitary wave dynamics in fluid media. PhD Thesis Doctor of Philosophy. University of Southern Queensland.Evaluation of the Long-term Cumulative UVA Facial Exposure of Queensland School Teachers derived for an Extended Period from the OMI Satellite Irradiance
A Jebar, Mustapha A., Downs, Nathan J., Parisi, Alfio V. and Turner, Joanna. 2021. "Evaluation of the Long-term Cumulative UVA Facial Exposure of Queensland School Teachers derived for an Extended Period from the OMI Satellite Irradiance." Photochemistry and Photobiology. 97 (1), pp. 192-197. https://doi.org/10.1111/php.13329Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia
Raj, Nawin and Brown, Jason. 2021. "An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia." Remote Sensing. 13 (8), pp. 1-20. https://doi.org/10.3390/rs13081456SEQ Ultraviolet and Cloud Measurement Data Collection
Downs, Nathan. SEQ Ultraviolet and Cloud Measurement Data Collection. Toowoomba. https://doi.org/10.26192/9209-3504Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning
Gunasekara, C., Lokuge, W., Keskic, M., Raj, N., Law, D. W. and Setunge, S.. 2020. "Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning." ACI Materials Journal. 117 (5), pp. 263-278. https://doi.org/10.14359/51727019Electronic Sun Journal Versus Self-report Sun Diary: A Comparison of Recording Personal Sunlight Exposure Methods
Dexter, Benjamin R., King, Rachel, Parisi, Alfio V., Harrison, Simone L., Igoe, Damien P. and Downs, Nathan J.. 2021. "Electronic Sun Journal Versus Self-report Sun Diary: A Comparison of Recording Personal Sunlight Exposure Methods." Photochemistry and Photobiology. 97 (3), pp. 641-649. https://doi.org/10.1111/php.13359Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002Keratinocyte skin cancer risks for working school teachers: scenarios and implications of the timing of scheduled duty periods in Queensland, Australia
Dexter, B. R., King, R., Parisi, A. V., Harrison, S. L., Konovalov, D. A. and Downs, N. J.. 2020. "Keratinocyte skin cancer risks for working school teachers: scenarios and implications of the timing of scheduled duty periods in Queensland, Australia." Journal of Photochemistry and Photobiology, B: Biology. 213, pp. 1-10. https://doi.org/10.1016/j.jphotobiol.2020.112046Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6Shade auditing in Queensland
Downs, Nathan, Parisi, Alfio, Baldwin, Louise and Harrison, Simone. 2019. "Shade auditing in Queensland." 6th Annual Brisbane Cancer Conference. Brisbane, Australia 28 - 29 Nov 2019Solar blue light radiation enhancement during mid to low solar elevation periods under cloud affected skies
Parisi, Alfio V., Igoe, Damien P., Amar, Abdurazaq and Downs, Nathan. 2020. "Solar blue light radiation enhancement during mid to low solar elevation periods under cloud affected skies." Sensors. 20 (15), pp. 1-13. https://doi.org/10.3390/s20154105Electronic Sun Journals: integrating calibrated field radiometers and traditional dosimeters for monitoring personal sun exposure behavior
Downs, Nathan. 2018. "Electronic Sun Journals: integrating calibrated field radiometers and traditional dosimeters for monitoring personal sun exposure behavior." 2018 National Cancer Institute Exercise Science and Skin Cancer Prevention Research Meeting. Rockville, United States 26 - 27 Sep 2018Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517Measured UV Exposures of Ironman, Sprint and Olympic-Distance Triathlon Competitors
Downs, Nathan J., Axelsen, Taryn, Parisi, Alfio V., Schouten, Peter W. and Dexter, Ben R.. 2020. "Measured UV Exposures of Ironman, Sprint and Olympic-Distance Triathlon Competitors." Atmosphere. 11 (5), pp. 1-15. https://doi.org/10.3390/atmos11050440Evaluation of shade profiles while walking in urban environments: A case study from inner suburban Sydney, Australia
Igoe, Damien P., Downs, Nathan J., Parisi, Alfio V. and Amar, Abdurazaq. 2020. "Evaluation of shade profiles while walking in urban environments: A case study from inner suburban Sydney, Australia." Building and Environment. 177, pp. 1-7. https://doi.org/10.1016/j.buildenv.2020.106873Influence of Clouds on OMI Satellite Total Daily UVA Exposure over a 12-year Period at a Southern Hemisphere Site
A Jebar, Mustapha A., Parisi, Alfio V., Downs, Nathan J. and Turner, Joanna. 2020. "Influence of Clouds on OMI Satellite Total Daily UVA Exposure over a 12-year Period at a Southern Hemisphere Site." International Journal of Remote Sensing. 41 (1), pp. 272-283. https://doi.org/10.1080/01431161.2019.1641243The Simulated Ocular and Whole-Body Distribution of Natural Sunlight to Kiteboarders: A High-Risk Case of UVR Exposure for Athletes Utilizing Water Surfaces in Sport
Downs, Nathan J., Parisi, Alfio V., Schouten, Peter W., Igoe, Damien P. and De Castro-Maqueda, Guillermo. 2020. "The Simulated Ocular and Whole-Body Distribution of Natural Sunlight to Kiteboarders: A High-Risk Case of UVR Exposure for Athletes Utilizing Water Surfaces in Sport." Photochemistry and Photobiology. 96 (4), pp. 926-935. https://doi.org/10.1111/PHP.13200Beyond the current Smartphone Application: Using smartphone hardware to measure UV radiation
Turner, J., Igoe, D. P., Parisi, A. V., Downs, N. J. and Amar, A.. 2018. "Beyond the current Smartphone Application: Using smartphone hardware to measure UV radiation." NIWA UV Workshop 2018 - UV Radiation: Effects on Human Health and the Environment. Wellington, New Zealand 04 - 06 Apr 2018 New Zealand.A site-specific standard for comparing dynamic solar ultraviolet protection characteristics of established tree canopies
Downs, N. J., Butler, H. J., Baldwin, L., Parisi, A. V., Amar, A., Vanos, J. and Harrison, S.. 2019. "A site-specific standard for comparing dynamic solar ultraviolet protection characteristics of established tree canopies." MethodsX. 6, pp. 1683-1693. https://doi.org/10.1016/j.mex.2019.07.013Seasonal Minimum and Maximum Solar Ultraviolet Exposure Measurements of Classroom Teachers Residing in Tropical North Queensland, Australia
Downs, Nathan J., Igoe, Damien P., Parisi, Alfio V., Taylor, Olivia, Lazzaroni, Shari L., Rawlings, Alex, Garzon-Chavez, Daniel R. and Harrison, Simone L.. 2019. "Seasonal Minimum and Maximum Solar Ultraviolet Exposure Measurements of Classroom Teachers Residing in Tropical North Queensland, Australia." Photochemistry and Photobiology. 95, pp. 1083-1093. https://doi.org/10.1111/php.13081Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2020. "Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 89-105Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541Comparing the annualised dynamic shade characteristics of twenty-one tree canopies across twenty-six municipalities in a high ambient UV climate, Queensland - Australia
Downs, Nathan J., Baldwin, Louise, Parisi, Alfio V., Butler, Harry J., Vanos, Jennifer, Beckman, Melanie and Harrison, Simone. 2019. "Comparing the annualised dynamic shade characteristics of twenty-one tree canopies across twenty-six municipalities in a high ambient UV climate, Queensland - Australia." Applied Geography. 108, pp. 74-82. https://doi.org/10.1016/j.apgeog.2019.05.006Cloud segmentation property extraction from total sky image repositories using Python
Igoe, Damien P., Parisi, Alfio V. and Downs, Nathan J.. 2019. "Cloud segmentation property extraction from total sky image repositories using Python." Instrumentation Science and Technology. 47 (5), pp. 522-534. https://doi.org/10.1080/10739149.2019.1603996Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J.. 2019. "Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms." Journal of Hydrology. 576, pp. 164-184. https://doi.org/10.1016/j.jhydrol.2019.06.032Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407Biologically effective solar ultraviolet exposures and the potential skin cancer risk for individual gold medalists of the 2020 Tokyo Summer Olympic Games
Downs, Nathan J., Axelsen, Taryn, Schouten, Peter, Igoe, Damien P., Parisi, Alfio V. and Vanos, Jennifer. 2019. "Biologically effective solar ultraviolet exposures and the potential skin cancer risk for individual gold medalists of the 2020 Tokyo Summer Olympic Games." Temperature. https://doi.org/10.1080/23328940.2019.1581427Development of a model for calculating the solar ultraviolet protection factor of small to medium sized built shade structure
Parisi, Alfio V., Amar, Abdurazaq, Downs, Nathan J., Igoe, Damien P., Harrison, Simone L. and Turner, Joanna. 2019. "Development of a model for calculating the solar ultraviolet protection factor of small to medium sized built shade structure." Building and Environment. 147, pp. 415-421. https://doi.org/10.1016/j.buildenv.2018.10.010Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158A pilot observational study of environmental summertime health risk behaviour in central Brisbane, Queensland: opportunities to raise sun protection awareness in Australia’s Sunshine State
Dexter, Ben, King, Rachel, Harrison, Simone L., Parisi, Alfio V. and Downs, Nathan J.. 2019. "A pilot observational study of environmental summertime health risk behaviour in central Brisbane, Queensland: opportunities to raise sun protection awareness in Australia’s Sunshine State." Photochemistry and Photobiology. 95 (2), pp. 650-655. https://doi.org/10.1111/php.13011Evaluated UVA irradiances over a twelve year period at a sub-tropical site from ozone monitoring instrument data including the influence of cloud
A Jebar, Mustapha A., Parisi, Alfio V., Downs, Nathan J. and Turner, Joanna F.. 2018. "Evaluated UVA irradiances over a twelve year period at a sub-tropical site from ozone monitoring instrument data including the influence of cloud." Photochemistry and Photobiology. 94 (6), pp. 1281-1288. https://doi.org/10.1111/php.12948Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation
Deo, Ravinesh C., Downs, Nathan J., Adamowski, Jan F. and Parisi, Alfio V.. 2018. "Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation." Food and Energy Security. 8 (1). https://doi.org/10.1002/fes3.151Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005The geospatial relationship of pterygium and senile cataract to ambient solar ultraviolet in tropical Ecuador
Garzon-Chavez, Daniel R., Quentin, Emmanuelle, Harrison, Simone L., Parisi, Alfio V., Butler, Harry J. and Downs, Nathan J.. 2018. "The geospatial relationship of pterygium and senile cataract to ambient solar ultraviolet in tropical Ecuador." Photochemical and Photobiological Sciences. 17 (8), pp. 1075-1083. https://doi.org/10.1039/C8PP00023ATriathlon and the potential for solar ultraviolet exposure risk assessed during the swim, bicycle and running legs of competitive Australian Ironman events
Axelsen, Taryn, Parisi, Alfio V. and Downs, Nathan J.. 2018. "Triathlon and the potential for solar ultraviolet exposure risk assessed during the swim, bicycle and running legs of competitive Australian Ironman events." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018Reflecting on fraction addition: using the mirror formula to visualise unit fraction addition
Igoe, Damien, Boucher, Nicholas, Clark, Iain, Parisi, Alfio and Downs, Nathan. 2018. "Reflecting on fraction addition: using the mirror formula to visualise unit fraction addition." Australian Mathematics Teacher. 74 (2), pp. 3-9.Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America
Downs, Nathan J., Garzon Chavez, Daniel R., Quentin, Emmanuelle, Harrison, Simone L., Parisi, Alfio V. and Butler, Harry. 2018. "The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018 Canada.The Garment Protection Factor (GPF): an index for sun-protective clothing that combines garment coverage and UVR transmittance
Harrison, Simone L., Downs, Nathan J., Rawlings, Alex T. and Parisi, Alfio V.. 2018. "The Garment Protection Factor (GPF): an index for sun-protective clothing that combines garment coverage and UVR transmittance." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018 Canada.Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB
Igoe, D. P., Parisi, A. V., Downs, N. J., Amar, A. and Turner, J.. 2018. "Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB." Sensors and Actuators A: Physical. 272, pp. 125-133. https://doi.org/10.1016/j.sna.2018.01.057Atmospheric total ozone column evaluation with a smartphone image sensor
Igoe, Damien P., Parisi, Alfio V., Amar, Abdurazaq, Downs, Nathan J. and Turner, Joanna. 2018. "Atmospheric total ozone column evaluation with a smartphone image sensor." International Journal of Remote Sensing. 39 (9), pp. 2766-2783. https://doi.org/10.1080/01431161.2018.1433895A comprehensive approach to evaluating and classifying sun-protective clothing
Downs, N. J. and Harrison, S. L.. 2018. "A comprehensive approach to evaluating and classifying sun-protective clothing." British Journal of Dermatology. 178 (4), pp. 958-964. https://doi.org/10.1111/bjd.15938An Inexpensive High-Temporal Resolution Electronic Sun Journal for Monitoring Personal Day to Day Sun Exposure Patterns
Downs, Nathan J., Parisi, Alfio V., Butler, Harry, Rawlings, Alex and Elrahoumi, Raja Salem. 2017. "An Inexpensive High-Temporal Resolution Electronic Sun Journal for Monitoring Personal Day to Day Sun Exposure Patterns." Frontiers in Public Health. 5, pp. 1-9. https://doi.org/10.3389/fpubh.2017.00310Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035Validation of ozone monitoring instrument UV satellite data using spectral and broadband surface based measurements at a Queensland site
A Jebar, Mustapha A., Parisi, Alfio V., Downs, Nathan J. and Turner, Joanna F.. 2017. "Validation of ozone monitoring instrument UV satellite data using spectral and broadband surface based measurements at a Queensland site." Photochemistry and Photobiology. 93 (5), pp. 1289-1293. https://doi.org/10.1111/php.12784Solar ultraviolet and the occupational radiant exposure of Queensland school teachers: a comparative study between teaching classifications and behavior patterns
Downs, Nathan J., Harrison, Simone L., Garzon Chavez, Daniel R. and Parisi, Alfio V.. 2016. "Solar ultraviolet and the occupational radiant exposure of Queensland school teachers: a comparative study between teaching classifications and behavior patterns." Journal of Photochemistry and Photobiology, B: Biology. 158, pp. 105-112. https://doi.org/10.1016/j.jphotobiol.2016.02.018Dual calibrated dosimeter for simultaneous measurements of erythemal and vitamin D effective solar ultraviolet radiation
Wainwright, L., Parisi, A. V. and Downs, N.. 2016. "Dual calibrated dosimeter for simultaneous measurements of erythemal and vitamin D effective solar ultraviolet radiation." Journal of Photochemistry and Photobiology, B: Biology. 157, pp. 15-21. https://doi.org/10.1016/j.jphotobiol.2016.02.003Concurrent evaluation of personal damaging and beneficial UV exposures over an extended period
Wainwright, L. K., Parisi, A. V. and Downs, N. J.. 2017. "Concurrent evaluation of personal damaging and beneficial UV exposures over an extended period." Journal of Photochemistry and Photobiology, B: Biology. 170, pp. 188-196. https://doi.org/10.1016/j.jphotobiol.2017.04.013Comparison of GOME-2 UVA satellite data to ground-based spectroradiometer measurements at a subtropical site
Parisi, Alfio V., Downs, Nathan, Turner, Joanna and King, Rachel. 2017. "Comparison of GOME-2 UVA satellite data to ground-based spectroradiometer measurements at a subtropical site." IEEE Transactions on Geoscience and Remote Sensing. 55 (6), pp. 3145-3149. https://doi.org/10.1109/TGRS.2017.2662714Educating the younger generation (and the public) in UV effects with a simple experiment
Turner, Joanna, Parisi, Alfio V. and Downs, Nathan. 2013. "Educating the younger generation (and the public) in UV effects with a simple experiment." Byrne, Scott and Chen, Min (ed.) 6th Asia & Oceania Conference on Photobiology (AOCP 2013): Life on a Sun-Drenched Planet. Sydney, Australia 10 - 13 Nov 2013In-situ measurements of solar exposure distribution on a coral reef: preliminary findings relating to reef aspect, water turbidity and dosimeter design
Downs, N. J., Schouten, P. W. and Parisi, A. V.. 2016. "In-situ measurements of solar exposure distribution on a coral reef: preliminary findings relating to reef aspect, water turbidity and dosimeter design." 13th International Coral Reef Symposium. Honolulu, Hawaii 19 - 24 Jun 2016Adiabatic decay of internal solitons in a rotating ocean
Obregon, M. A., Raj, N. and Stepanyants, Y. A.. 2016. "Adiabatic decay of internal solitons in a rotating ocean." 20th Australasian Fluid Mechanics Conference (AFMC 2016). Perth, Australia 05 - 08 Dec 2016 Australia.Solar ultraviolet attenuation during the Australian (Red Dawn) dust event of 23 September 2009
Downs, Nathan, Butler, Harry and Parisi, Alfio. 2016. "Solar ultraviolet attenuation during the Australian (Red Dawn) dust event of 23 September 2009." Bulletin of the American Meteorological Society. 97 (11), pp. 2039-2050. https://doi.org/10.1175/BAMS-D-15-00053.1Characterization of cloud cover with a smartphone camera
Parisi, A. V., Downs, N., Igoe, D. and Turner, J.. 2016. "Characterization of cloud cover with a smartphone camera." Instrumentation Science and Technology. 44 (1), pp. 23-34. https://doi.org/10.1080/10739149.2015.1055577