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[해외논문] Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models

Journal of environmental management, v.294, 2021년, pp.112988 -   

Pyo, JongCheol (Center for Environmental Data Strategy, Korea Environment Institute) ,  Kwon, Yong Sung (Environmental Impact Assessment, Division of Ecological Assessment, National Institute of Ecology) ,  Min, Joong-Hyuk (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) ,  Nam, Gibeom (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) ,  Song, Yong-Sik (GeoSystem Research Corp.) ,  Ahn, Jung Min (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) ,  Park, Sanghyun (Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex) ,  Lee, Jeongwon (School of Civil and Environmental Engineering, Konku) ,  Cho, Kyung Hwa ,  Park, Yongeun

EDISON 유발 논문

계산과학플랫폼 EDISON을 활용하여 발표된 논문

Abstract AI-Helper 아이콘AI-Helper

Abstract Hydrodynamic and water quality modeling have provided valuable simulation results that have enhanced the understanding of the spatial and temporal distribution of algal blooms. Typical model simulations are performed with point-based observational data that are used to configure initial an...

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참고문헌 (65)

  1. Harmful Algae Aleynik 53 102 2016 10.1016/j.hal.2015.11.012 A high resolution hydrodynamic model system suitable for novel harmful algal bloom modelling in areas of complex coastline and topography 

  2. Nat. Resour. Model. Anagnostou 30 3 2017 10.1111/nrm.12130 Ecological modeling and eutrophication-a review 

  3. 2001 Standard Methods for the Examination of Water and Waste Water 

  4. Int. J. Hydrol. Barbosa 3 5 442 2019 10.15406/ijh.2019.03.00209 The influence of spatial discretization on HEC HMS modelling a case study 

  5. Environ. Model. Software Brovelli 24 5 611 2009 10.1016/j.envsoft.2008.10.001 Bioclogging in porous media: model development and sensitivity to initial conditions 

  6. Lake Reservoir Manag. Brown 1 1 198 1984 10.1080/07438148409354510 Relationships between suspended solids, turbidity, light attenuation, and algal productivity 

  7. Science Carpenter 332 1079 2011 10.1126/science.1203672 Early warnings of regime shifts: a whole-ecosystem experiment 

  8. J. Environ. Eng. Cerco 119 6 1006 1993 10.1061/(ASCE)0733-9372(1993)119:6(1006) Three-dimensional eutrophication model of chesapeake bay 

  9. Ecol. Model. Chen 199 1 73 2006 10.1016/j.ecolmodel.2006.06.014 Modelling algal blooms in the Dutch coastal waters by integrated numerical and fuzzy cellular automata approaches 

  10. Ecol. Eng. Chen 96 117 2016 10.1016/j.ecoleng.2016.02.021 Assessing the eutrophication risk of the Danjiangkou Reservoir based on the EFDC model 

  11. Chen vol. 143 2003 2020 A optimal two bands ratio model to monitor chlorophyll-a in urban lake using Landsat 8 data 

  12. Environ. Monit. Assess. Duan 170 1-4 231 2010 10.1007/s10661-009-1228-7 Comparison of different semi-empirical algorithms to estimate chlorophyll-a concentration in inland lake water 

  13. Alex. Eng. J. Dutta 59 1 323 2020 10.1016/j.aej.2019.12.044 Modeling curtain weirs for controlling algal blooms in the largest tributary of the Three Gorges Reservoir, China 

  14. Adv. Water Resour. Gobeyn 100 126 2017 10.1016/j.advwatres.2016.12.005 Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model 

  15. Environ. Sci. Pol. Hamrick 3 197 2000 10.1016/S1462-9011(00)00053-8 Analysis of water temperatures in Conowingo Pond as influenced by the Peach Bottom atomic power plant thermal discharge 

  16. Environ. Model. Assess. Jacob 25 1 97 2020 10.1007/s10666-019-09664-y Hydrodynamic modeling for flood hazard assessment in a data scarce region: a case study of bharathapuzha river basin 

  17. Ecol. Eng. Ji 98 70 2017 10.1016/j.ecoleng.2016.10.019 Impacts of water level rise on algal bloom prevention in the tributary of Three Gorges Reservoir, China 

  18. Remote Sens. Environ. Jiang 225 229 2019 10.1016/j.rse.2019.03.014 Simultaneous calibration of multiple hydrodynamic model parameters using satellite altimetry observations of water surface elevation in the Songhua River 

  19. Rem. Sens. Jorge 9 7 644 2017 10.3390/rs9070644 SNR (signal-to-noise ratio) impact on water constituent retrieval from simulated images of optically complex amazon lakes 

  20. Rem. Sens. Kay 1 4 697 2009 10.3390/rs1040697 Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths 

  21. Ecol. Model. Kim 366 27 2017 10.1016/j.ecolmodel.2017.10.015 Algal bloom prediction of the lower Han River, Korea using the EFDC hydrodynamic and water quality model 

  22. Environ. Model. Software Kim 141 105068 2021 10.1016/j.envsoft.2021.105068 Developing a cloud-based toolbox for sensitivity analysis of a water quality model 

  23. J. Plankton Res. Kromkamp 12 1 161 1990 10.1093/plankt/12.1.161 A computer model of buoyancy and vertical migration in cyanobacteria 

  24. Remote Sens. Environ. Kwon 236 111517 2020 10.1016/j.rse.2019.111517 Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir 

  25. Ocean Sci. J. Lee 53 3 475 2018 10.1007/s12601-018-0011-5 Improved chlorophyll-a algorithm for the satellite ocean color data in the northern bering sea and southern chukchi sea 

  26. J. Gt. Lakes Res. Lesht 39 1 138 2013 10.1016/j.jglr.2012.12.007 A band-ratio algorithm for retrieving open-lake chlorophyll values from satellite observations of the Great Lakes 

  27. Ecol. Model. Li 221 20 2435 2010 10.1016/j.ecolmodel.2010.06.020 Enhancing generic ecological model for short-term prediction of Southern North Sea algal dynamics with remote sensing images 

  28. ISPRS Int. Geo-Inf. Li 9 2 94 2020 10.3390/ijgi9020094 Numerical simulation of donghu lake hydrodynamics and water quality based on remote sensing and MIKE 21 

  29. J. Hydrol. Li 124852 2020 10.1016/j.jhydrol.2020.124852 On the hydrodynamic behavior of floodplain vegetation in a flood-pulse-influenced river-lake system (Poyang Lake, China) 

  30. Environ. Manage. Lin 47 3 398 2011 10.1007/s00267-011-9617-4 Nutrient response modeling in falls of the Neuse Reservoir 

  31. Water Res. Loos 171 115343 2020 10.1016/j.watres.2019.115343 Ensemble data assimilation methods for improving river water quality forecasting accuracy 

  32. Water Res. Lung 22 7 895 1988 10.1016/0043-1354(88)90027-9 Modeling blue-green algal blooms in the lower Neuse River 

  33. J. Hydrol. Mannina 393 3-4 186 2010 10.1016/j.jhydrol.2010.08.015 Water quality modelling for ephemeral rivers: model development and parameter assessment 

  34. J. Hydro Environ. Res. Mao 9 2 200 2015 10.1016/j.jher.2014.09.005 Spatial-temporal hydrodynamic and algal bloom modelling analysis of a reservoir tributary embayment 

  35. Matthews 157 2017 Bio-optical Modeling and Remote Sensing of Inland Waters Bio-optical modeling of phytoplankton chlorophyll-a 

  36. 2019 Research on Construction of 3D Water Quality Model to Evaluate Variations in Water Quality in a Weir Pool 

  37. Mohammed 239 2016 

  38. Harmful Algae O'neil 14 313 2012 10.1016/j.hal.2011.10.027 The rise of harmful cyanobacteria blooms: the potential roles of eutrophication and climate change 

  39. Park, S., Min, J. -H., Kim, K., Song, Y. -S., Jeon, J., Park, L. J., Choi, J., Park, S. (Submitted). Development and Testing of a 3D Algal Dynamics Model Based on Phytoplankton Functional Groups. 

  40. Water Res. Park 126 319 2017 10.1016/j.watres.2017.09.026 Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea 

  41. J. Atmos. Sci. Pedlosky 36 10 1908 1979 10.1175/1520-0469(1979)036<1908:FABWIA>2.0.CO;2 Finite-amplitude baroclinic waves in a continuous model of the atmosphere 

  42. Rem. Sens. Pyo 6 542 2017 10.3390/rs9060542 Optimizing semi-analytical algorithms for estimating chlorophyll-a and phycocyanin concentrations in inland waters in Korea 

  43. Rem. Sens. Pyo 10 8 1180 2018 10.3390/rs10081180 High-spatial resolution monitoring of phycocyanin and chlorophyll-a using airborne hyperspectral imagery 

  44. J. Hazard Mater. Qin 287 356 2015 10.1016/j.jhazmat.2015.01.047 Cyanobacterial bloom management through integrated monitoring and forecasting in large shallow eutrophic Lake Taihu (China) 

  45. Ecol. Model. Rajar 101 2-3 195 1997 10.1016/S0304-3800(97)00047-1 Hydrodynamic and water quality modelling: an experience 

  46. Water Sci. Technol. Reichert 43 11 2001 10.2166/wst.2001.0241 River water quality model no. 1 (RWQM1): II. Biochemical process equations 

  47. Richter 13 2003 3rd EARSeL Workshop on Imaging Spectroscopy Status of model ATCOR4 on atmospheric/topographic correction for airborne hyperspectral imagery 

  48. J. Environ. Manag. Rosińska 198 340 2017 10.1016/j.jenvman.2017.04.091 Cyanobacteria blooms before and during the restoration process of a shallow urban lake 

  49. Appl. Opt. Ruddick 40 21 3575 2001 10.1364/AO.40.003575 Optical remote sensing of chlorophyll a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties 

  50. Environ. Sci. Pollut. Res. Sadeghian 24 24 19583 2017 10.1007/s11356-017-9616-y Sediment plume model-a comparison between use of measured turbidity data and satellite images for model calibration 

  51. Environ. Eng. Res. Seo 17 2 95 2012 10.4491/eer.2012.17.2.095 Prediction of chlorophyll-a changes due to weir constructions in the Nakdong River using EFDC-WASP modelling 

  52. J. Korean Soc. Water Environ. Shin 33 2 219 2017 Operational water quality forecast for the yeongsan river using EFDC model 

  53. Stauffer 1 2020 Physical and Biogeochemical Factors Driving Spatially Heterogeneous Phytoplankton Blooms in Nearshore Waters of Santa Monica Bay 

  54. Geophys. Res. Lett. Sundareshwar 38 10 2011 10.1029/2010GL046599 Didymosphenia geminata: algal blooms in oligotrophic streams and rivers 

  55. Int. J. Environ. Res. Publ. Health Tan 16 23 4641 2019 10.3390/ijerph16234641 Mechanism underlying flow velocity and its corresponding influence on the growth of euglena gracilis, a dominant bloom species in reservoirs 

  56. Environ. Monit. Assess. Wang 190 10 620 2018 10.1007/s10661-018-6978-7 Estimation of chlorophyll a content in inland turbidity waters using WorldView-2 imagery: a case study of the Guanting Reservoir, Beijing, China 

  57. IVM Report Van der Woerd 5 9 2005 Integrated spatial and spectral characterization of harmful algal blooms in Dutch coastal waters (ISCHA) 

  58. Estuar. Coast Shelf Sci. Wong 74 1-2 175 2007 10.1016/j.ecss.2007.04.012 A simple model for forecast of coastal algal blooms 

  59. Ecol. Model. Wu 222 6 1245 2011 10.1016/j.ecolmodel.2010.12.021 Prediction of algal blooming using EFDC model: case study in the Daoxiang Lake 

  60. Korean J. Rem. Sens. Yang 25 5 435 2009 Study on improvement of oil spill prediction using satellite data and oil-spill model: hebei Spirit Oil Spill 

  61. Younis vol. 20 2018 Evaluating image classification techniques for improved urban wastewater system model calibration 

  62. J. Korean Soc. Water Environ. Yu 31 2 110 2015 10.15681/KSWE.2015.31.2.110 Relations of nutrient concentrations on the seasonality of algal community in the Nakdong River Korea 

  63. Environ. Model. Software Zhang 48 152 2013 10.1016/j.envsoft.2013.07.001 An improved ecological model and software for short-term algal bloom forecasting 

  64. Estuar. Coast Shelf Sci. Zhang 232 106492 2020 10.1016/j.ecss.2019.106492 Numerical study of hydrodynamic conditions and sedimentary environments of the suspended kelp aquaculture area in Heini Bay 

  65. J. Environ. Sci. Zhang 100 216 2021 10.1016/j.jes.2020.07.024 Biogeographic distribution patterns of algal community in different urban lakes in China: insights into the dynamics and co-existence 

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