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Deep neural networks application in environmental and water resources simulations

Mohammad Mahdi Rajabi

Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg
Email: mahdi.rajabi@uni.lu

(2025) 3–5
https://doi.org/10.5004.dsal.2025.700095

References Bai, T., Tahmasebi, P., Graph neural network for groundwater level forecasting. J. Hydrology, 616 (2023) 128792. https://doi.org/10.1016/j.jhydrol.2022.128792 Fang, X., Wu, J., Jiang, P., Liu, K., Wang, X., Zhang, S., Lai, Y., A rapid assessment method for flood risk mapping integrating aerial point clouds and deep learning. Wat. Resour. Manage., 38 (2024) 1753–1772. https://doi.org/10.1007/s11269-024-03764-5 Gil-Gamboa, A., Paneque, P., Trull, O., Troncoso, A., Medium-term water consumption forecasting based on deep neural networks. Expert Syst. Applic., 247 (2024) 123234. https://doi.org/10.1016/j.eswa.2024.123234 Ji, H.K., Mirzaei, M., Lai, S.H., Dehghani, A., Dehghani, A., Implementing generative adversarial network (GAN) as a data-driven multi-site stochastic weather generator for flood frequency estimation. Environ. Model. Software, 172 (2024) 105896. https://doi.org/10.1016/j.envsoft.2023.105896 Kao, I.F., Zhou, Y., Chang, L.C., Chang, F.J., Exploring a long short-term memory based encoder-decoder framework for multi-step-ahead flood forecasting. J. Hydrology, 583 (2020) 124631. https://doi.org/10.1016/j.jhydrol.2020.124631 Li, B., Li, R., Sun, T., Gong, A., Tian, F., Khan, M.Y.A., Ni, G. Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau. J. Hydrology, 620 A (2023) 129401. https://doi.org/10.1016/j.jhydrol.2023.129401 Liu, P., Wang, J., Sangaiah, A.K., Xie, Y., Yin, X. Analysis and prediction of water quality using LSTM deep neural networks in IoT environment. Sustainability, 11(7) (2019) 2058. https://doi.org/10.3390/su11072058 Rajabi, M. M., Javaran, M. R. H., Bah, A. O., Frey, G., Le Ber, F., Lehmann, F., Fahs, M., Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media. Int. J. Heat Mass Transfer, 183 (2022) 122131. https://doi.org/10.1016/j.ijheatmasstransfer.2021.122131 Rajabi, M.M., Komeilian, P., Wan, X., Farmani, R., Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks. Water Res., 238 (2023) 120012. https://doi.org/10.1016/j.watres.2023.120012 Ren, X., Li, X., Ren, K., Song, J., Xu, Z., Deng, K., Wang, X., Deep learning-based weather prediction: a survey. Big Data Res., 23 (2021) 100178. https://doi.org/10.1016/j.bdr.2020.100178 Samek, W., Montavon, G., Lapuschkin, S., Anders, C.J., Müller, K.R., Explaining deep neural networks and beyond: A review of methods and applications. Proc. IEEE, 109(3) (2021) 247–278. https://doi.org/10.1109/JPROC.2021.3060483 Shen, C., A transdisciplinary review of deep learning research and its relevance for water resources scientists. Water Resour. Res., 54(11) (2018) 8558–8593. https://doi.org/10.1029/2018WR022643 Stoian, A., Poulain, V., Inglada, J., Poughon, V., Derksen, D., Land cover maps production with high resolution satellite image time series and convolutional neural networks: Adaptations and limits for operational systems. Remote Sensing, 11(17) (2019) 1986. https://doi.org/10.3390/rs11171986 Wang, J., Pang, X., Yin, F., Yao, J., A deep neural network method for solving partial differential equations with complex boundary in groundwater seepage. J. Petrol. Sci. Eng., 209 (2022) 109880. https://doi.org/10.1016/j.petrol.2021.109880
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An innovative approach to desalination and cooling using forward osmosis with thermal recovery and vapor absorption cycle

Hassan K. Abdulrahim*, Mansour Ahmed

Water Research Center (WRC), Kuwait Institute for Scientific Research (KISR), P.O. Box 24885, 13109 Safat, Kuwait,
*email: habdulrahim@kisr.edu.kw (corresponding author)

(2025) 47–53
https://doi.org/10.5004.dsal.2025.700073

References [1] M.A. Darwish, N.M. Al-Najem, The water problem in Kuwait, Desalination, 177 (2005) 167–177. https://doi.org/10.1016/j.desal.2004.07.053 [2] A.M.R. Al-Marafie, M.A. Darwish, Water production in Kuwait: its management and economics, Desalination, 71 (1989) 45–55. https://doi.org/10.1016/0011-9164(89)87057-2 [3] MEW, Statistical year book for...
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Oil spill management to prevent catastrophic shutdown of desalination plants

Zhaoyang Liu

Senior Scientist, Water Center, Qatar Environment & Energy Research Institute (QEERI), Hamad Bin Khalifa University, Qatar Foundation, Qatar, email: zhliu@hbku.edu.qa

(2025) 18-21
https://doi.org/10.5004.dsal.2025.700102

References H. Nassrullah, S.F. Anis, R. Hashaikeh, N. Hilal, Energy for desalination: a state-of-the-art review. Desalination, 491 (2020) 114569, https://doi.org/10.1016/j.desal.2020.114569 A. Najim, A review of advances in freeze desalination and future prospects. Npj Clean Water, 5 (2022) 1–15, https://doi.org/10.1038/s41545-022-00158-1 D. Curto, V....
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Fuel allocation in water and power cogeneration desalination plant

Ibrahim S. Al-Mutaz*, Meshari S. Aldalbahi

Chemical Engineering Dept., College of Engineering, King Saud University, PO Box 800, Riyadh 11421, Saudi Arabia
*email: almutaz@ksu.edu.sa (corresponding author)

(2025) 22–29
https://doi.org/10.5004.dsal.2025.700028

References I.S. Al-Mutaz, Operation of dual-purpose MSF plants at water/power peak demand, Desalination, 84 (1991) 105. http://dx.doi.org/10.1016/0011-9164(91)85121-A I.S. Al-Mutaz, A.M. Al-Namlah, Characteristics of dual-purpose MSF desalination plants, Desalination, 166 (2004) 287–294. https://doi.org/10.1016/j.desal.2004.06.083 M. Kharbach, Fuel...
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Oxide activated carbon for seawater desalination using solar energy

Wafa A. Al Rawahi*, Amal S. Al Rahbi, Maryam S. Al Hashmi, Marwa Al Riyami, Hanadi Al Aameriya, Nada A. Al-Toubi, Riham A. Al-Nabhani

University of Technology and Applied Sciences, Applied Sciences Department, PO Box 74, Al-Khuwair, Postal Code 133, Al Khuwair Al Janubyyah St, Muscat, Oman
*email: wafaaqib@hct.edu.om, wafa.alrawahi@utas.edu.om (corresponding author)

(2025) 40–46
https://doi.org/10.5004.dsal.2025.700032

References Abushammala, M.F.M., Al-Harrasi, S.H.S., Qazi, W.A., 2020,Optimal selection of seawater desalination technology in Oman. J. Environ. Eng. Sci., 16, 11–18. https://doi.org/10.1680/jenes.19.00049 Abushawish, A., Bouaziz, I., Almanassra, I.W., AL-Rajabi, M.M., Jaber, L., Khalil, A.K.A., Takriff, M.S., Laoui, T., Shanableh, A., Atieh, M.A.,...
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Assessment of the sustainability of water management system in the Sultanate of Oman: A case study of Al-Batha basin

Yasir Said Al-Saadi

Ministry of Agriculture, Fishers Wealth and Water Resources, Oman, email: ahmed99@squ.edu.om

(2025) 180–201
https://doi.org/10.5004.dsal.2025.700004

References Abdel-magid, I. M. (2017). Oman Water Resources Challenges. 56 (November 2015). https://doi.org/10.13140/RG.2.1.4903.2162 Adgolign, T.B., Rao, G.V.R.S., Abbulu, Y. (2016). WEAP modeling of surface water resources allocation in Didessa Sub-Basin, West Ethiopia. Sustainable Water Resources Management, 2(1), 55–70....
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Evaluating the hydraulic feasibility of brackish groundwater supply for small-scale reverse osmosis plants in community centers in Kuwait

Amjad Aliewi*, Harish Bhandary

Water Resources Development and Management Program, Kuwait Institute for Scientific Research, Water Research
Center, P.O. Box 24885, Safat 13109, Kuwait
*email: aaliewi@kisr.edu.kw (corresponding author)

(2025) 153–162
https://doi.org/10.5004.dsal.2025.700033

References Al Rashed, M., Safelnasr, A., Sherif, M., Murad, A., Alshamsi, D., Aliewi, A., Ebraheem, A. (2023). Novel concept for water security quantification considering nonconventional and virtual water resources in arid countries: application in Gulf Cooperation Council Countries. Sci. Total Environ. 163473....
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Using desalination for agriculture irrigation in GCC countries: state of art and future outlook

Mohamed A. Dawoud1*, Waleed H. Abou El Hassan2

1Senior Water Advisor, Environment Agency – Abu Dhabi, UAE, email: mdawoud@ead.gov.ae (corresponding author)
2Senior Water Resources Management Officer at Food and Agriculture Organization (FAO) of the United Nations, GCC
Regional Office, Abu Dhabi, UAE. email: waleed.abouelhassan@fao.org

(2025) 209–221
https://doi.org/10.5004.dsal.2025.700048

References Abdulghafar, A., (2000), Cost of Groundwater Deterioration in Bahrain: An Economic Perspective for Sustainable Development. Master’s Thesis, Arabian Gulf University, Manama. Al Bloushi, A., Giwa, A., Mezher, T., Hasan, A., (2018), Environmental impact and technoeconomic analysis of hybrid MSF/RO desalination: the case study of Al Taweelah A2...
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