Integrated Hydrodynamic and Atmospheric Modeling of Polyfytos Lake for Substance Dispersion Using Delft3D and Weather Research and Forecasting Model — Oak Academic Publishing
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Integrated Hydrodynamic and Atmospheric Modeling of Polyfytos Lake for Substance Dispersion Using Delft3D and Weather Research and Forecasting Model
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
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Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
,
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
1 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
2 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
3 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
4 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
5 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
6 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
7 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
8 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
This study investigates the hydrodynamic and environmental behavior of Polyfytos Lake in Greece using the three-dimensional modeling tools developed in Delft for water and environmental systems (Delft3D), including the particle tracking module (Delft3D-PART) for simulating the transport and dispersion of pollutants. The primary objective was to simulate water movement and assess the dispersion of a hypothetical pollutant, such as oil, under realistic atmospheric conditions. Meteorological forcing was provided by high-resolution data derived from the Weather Research and Forecasting (WRF) model, ensuring an accurate representation of wind, temperature, and precipitation patterns across the lake surface. The integration of WRF data into Delft3D enabled dynamic and time-dependent boundary conditions that significantly enhanced the reliability of the simulation. A hypothetical heavy oil spill was introduced, with specific properties designed to emulate the behavior and transport of an oil-like substance. The Delft3D-PART module was employed to model the particle-based transport of the pollutant, tracking its movement, dispersion, and interactions with the lake’s hydrodynamic conditions over time. Its distribution was monitored to evaluate potential environmental impacts and inform response strategies. The study demonstrates the utility of Delft3D as a decision-support tool for environmental risk assessment and highlights the importance of incorporating realistic meteorological forcing into hydrodynamic models for effective management of complex inland water bodies.
Sharma, S., Gray, D.K., Read, J.S., O’Reilly, C.M., Schneider, P., Qudrat, A., et al. (2015) A Global Database of Lake Surface Temperatures Collected by in Situ and Satellite Methods from 1985-2009. Scientific Data , 2, Article No. 150008. https://doi.org/10.1038/sdata.2015.8
Li, X. and Tsigaris, P. (2024) The Global Value of Freshwater Lakes. Ecology Letters , 27, e14388. https://doi.org/10.1111/ele.14388
Hua, S., Jing, H., Qiu, G., Kuang, X., Andrews, C.B., Chen, X., et al. (2024) Long-Term Trends in Human-Induced Water Storage Changes for China Detected from GRACE Data. Journal of Environmental Management , 368, Article ID: 122253. https://doi.org/10.1016/j.jenvman.2024.122253
Hydraulics, D. (2024) User Manual of Delft3D-FLOW: Simulation and Multi-Dimensional Hydrodynamic Flows and Transport Phenomena, Including Sediments. WL/Delft Hydraulics. https://content.oss.deltares.nl/delft3d4/Delft3D-FLOW_User_Manual.pdf
Lesser, G.R., Roelvink, J.A., van Kester, J.A.T.M. and Stelling, G.S. (2004) Development and Validation of a Three-Dimensional Morphological Model. Coastal Engineering , 51, 883-915. https://doi.org/10.1016/j.coastaleng.2004.07.014
Curbani, F.E., Lacerda, K.C., Curbani, F., Barreto, F.T.C., Tadokoro, C.E. and Chacaltana, J.T.A. (2021) Numerical Study of Physical and Biogeochemical Processes Controlling Dissolved Oxygen in an Urbanized Subtropical Estuary: Vitória Island Estuarine System, Brazil. Environmental Modeling & Assessment , 27, 233-249. https://doi.org/10.1007/s10666-021-09787-1
Soulignac, F., Vinçon-Leite, B., Lemaire, B.J., Scarati Martins, J.R., Bonhomme, C., Dubois, P., et al. (2017) Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake. Environmental Modeling & Assessment , 22, 309-322. https://doi.org/10.1007/s10666-017-9548-4
Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.Y., Wang, W. and Powers, J.G. (2008) A Description of the Advanced Research WRF Version 3 (No. NCAR/TN-475+STR). University Corporation for Atmospheric Research. http://dx.doi.org/10.5065/D68S4MVH
Anh, L.T., Anh, D.H., Yen Linh, M.T. and Thao, N.D. (2021) Investigation Typhoon Induced Storm Surge and High Wave in Vietnam Using Coupled Delft3d-Flow—WAVE Models Combined with Weather Research Forecast (WRF) Output Wind Field. Science & Technology Development Journal — Engineering and Technology , 4, 645-662. https://doi.org/10.32508/stdjet.v4i1.774
Guo, S., Zhu, D. and Chen, Y. (2023) Improvement and Evaluation of the Latest Version of WRF-Lake at a Deep Riverine Reservoir. Advances in Atmospheric Sciences , 40, 682-696. https://doi.org/10.1007/s00376-022-2180-5
Hassani, A., Santos, G.S., Schneider, P. and Castell, N. (2023) Interpolation, Satellite-Based Machine Learning, or Meteorological Simulation? A Comparison Analysis for Spatio-Temporal Mapping of Mesoscale Urban Air Temperature. Environmental Modeling & Assessment , 29, 291-306. https://doi.org/10.1007/s10666-023-09943-9
Li Ramírez, J.A., Zambrano Nájera, J.D.C. and Aristizábal Zuluaga, B.H. (2020) BVOC Emissions along the Eastern and Western Slopes of the Andes Central Range with Strong Altitudinal Gradient over a Wide Range of Andean Ecosystems: Model Estimation/Disaggregation with Biga. Environmental Modeling & Assessment , 25, 761-773. https://doi.org/10.1007/s10666-020-09698-7
Chen, X., Zhang, Y., Wang, Y., Yu, Q. and Ma, W. (2018) The Spatial-Scale Effect of an Atmospheric Environmental Impact Assessment in Regional Strategic Environmental Assessment (R-SEA). Environmental Modeling & Assessment , 23, 529-556. https://doi.org/10.1007/s10666-018-9590-x
Gabriel, M., Knightes, C., Cooter, E. and Dennis, R. (2014) The Impacts of Different Meteorology Data Sets on Nitrogen Fate and Transport in the SWAT Watershed Model. Environmental Modeling & Assessment , 19, 301-314. https://doi.org/10.1007/s10666-014-9400-z
Vatalis, K.I., Charalampides, G., Manoliadis, O., Akraios, C. and Asvesta, A. (2008) Water Quality Assessment of the Polyfyto Lake in Western Macedonia, Greece. Journal of Environmental Protection and Ecology , 9, 540-549. https://www.webofscience.com/wos/WOSCC/full-record/000260354500007
Frysali, D., Mallios, Z. and Theodossiou, N. (2023) Hydrologic Modeling of the Aliakmon River in Greece Using HEC-HMS and Open Data. Euro - Mediterranean Journal for Environmental Integration , 8, 539-555. https://doi.org/10.1007/s41207-023-00374-2
Papageorgiou, A., Papadakis, N. and Voutsa, D. (2015) Fate of Natural Organic Matter at a Full-Scale Drinking Water Treatment Plant in Greece. Environmental Science and Pollution Research , 23, 1841-1851. https://doi.org/10.1007/s11356-015-5433-3
Chortis, A.G., Ramandanis, I.G., Dadoulis, G.I., Melidis, L.N., Manos, G.C. and Katakalos, K.V. (2023). Structural Health Monitoring (SHM) of Polyfytos Bridge and Evaluation of Its Dynamic Properties. Proceedings of the 8 th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering ( COMPDYN 2015), Athens, 12-14 June 2023, 741-758. https://doi.org/10.7712/120123.10432.21194
Cantin, A., Beisner, B.E., Gunn, J.M., Prairie, Y.T. and Winter, J.G. (2011) Effects of Thermocline Deepening on Lake Plankton Communities. Canadian Journal of Fisheries and Aquatic Sciences , 68, 260-276. https://doi.org/10.1139/f10-138
Morrison, H., Curry, J.A. and Khvorostyanov, V.I. (2005) A New Double-Moment Microphysics Parameterization for Application in Cloud and Climate Models. Part I: Description. Journal of the Atmospheric Sciences , 62, 1665-1677. https://doi.org/10.1175/jas3446.1
Clough, S.A., Shephard, M.W., Mlawer, E.J., Delamere, J.S., Iacono, M.J., Cady-Pereira, K., et al. (2005) Atmospheric Radiative Transfer Modeling: A Summary of the AER Codes. Journal of Quantitative Spectroscopy and Radiative Transfer , 91, 233-244. https://doi.org/10.1016/j.jqsrt.2004.05.058
Betts, A.K. and Miller, M.J. (1986) A New Convective Adjustment Scheme. Part II: Single Column Tests Using GATE Wave, BOMEX, ATEX and Arctic Air-Mass Data Sets. Quarterly Journal of the Royal Meteorological Society , 112, 693-709. https://doi.org/10.1002/qj.49711247308
Mellor, G.L. and Yamada, T. (1982) Development of a Turbulence Closure Model for Geophysical Fluid Problems. Reviews of Geophysics , 20, 851-875. https://doi.org/10.1029/rg020i004p00851
Lagouvardos, K., Kotroni, V., Bezes, A., Koletsis, I., Kopania, T., Lykoudis, S., et al. (2017) The Automatic Weather Stations NOANN Network of the National Observatory of Athens: Operation and Database. Geoscience Data Journal , 4, 4-16. https://doi.org/10.1002/gdj3.44
Smith, S.D. and Banke, E.G. (1975) Variation of the Sea Surface Drag Coefficient with Wind Speed. Quarterly Journal of the Royal Meteorological Society , 101, 665-673. https://doi.org/10.1002/qj.49710142920
Deltares (2024) Delft3D-PART User Manual: Particle Tracking Module for Delft3D Suite. https://content.oss.deltares.nl/delft3d4/Delft3D-PART_User_Manual.pdf
Santos, R.G., Loh, W., Bannwart, A.C. and Trevisan, O.V. (2014) An Overview of Heavy Oil Properties and Its Recovery and Transportation Methods. Brazilian Journal of Chemical Engineering , 31, 571-590. https://doi.org/10.1590/0104-6632.20140313s00001853
Tirado, A., Félix, G., Trejo, F., Varfolomeev, M.A., Yuan, C., Nurgaliev, D.K., Sámano, V. and Ancheyta, J. (2023) Properties of Heavy and Extra-Heavy Crude Oils. In: Ancheyta, J., Varfolomeev, M. and Yuan, C., Eds., Catalytic In - Situ Up - Grading of Heavy and Extra - Heavy Crude Oils , Wiley, 1-38. https://doi.org/10.1002/9781119871507.ch1
Delvigne, G.A.L. and Sweeney, C.E. (1988) Natural Dispersion of Oil. Oil and Chemical Pollution , 4, 281-310. https://doi.org/10.1016/s0269-8579(88)80003-0