JKSWE

1

Ahn, J. M., Kim, J., Kwak, S., and Kang, T. (2023). Optimized microcystis prediction model using EFDC-NIER and LH-OAT method, KSCE Journal of Civil Engineering, 27(3), 1066-1076. https://doi.org/10.1007/s12205-023-1886-y

2

Bae, S. and Seo, D. (2018). Analysis and modeling of algal blooms in the Nakdong River, Korea, Ecological Modelling, 372, 53-63. https://doi.org/10.1016/j.ecolmodel.2018.01.019

3

Bozorg-Haddad, O., Soleimani, S., and Loáiciga, H. A. (2017). Modeling water-quality parameters using genetic algorithm–least squares support vector regression and genetic programming, Journal of Environmental Engineering, 143(7), 04017021. https://doi.org/10.1061/(ASCE)EE.1943-7870.001217

4

Ch, S. and Mathur, S. (2012). Particle swarm optimization trained neural network for aquifer parameter estimation, KSCE Journal of Civil Engineering, 16, 298-307. https://doi.org/10.1007/s12205-012-1452-5

5

Cho, J. H. (2011). Application of the QUAL2Kw model to a polluted river for automatic calibration and sensitivity analysis of genetic algorithm parameters, Journal of Environmental Impact Assessment, 20(3), 357-365. [Korean Literature] https://doi.org/10.14249/eia.2011.20.3.357

6

Cho, J. H. and Lee, J. H. (2006). Parameter optimization for runoff calibration of SWMM, Journal of Environmental Impact Assessment, 15(6), 435-441. [Korean Literature]

7

Cho, J. H., Sung, K. S., and Ha, S. R. (2004). A river water quality management model for optimising regional wastewater treatment using a genetic algorithm, Journal of Environmental Management, 73(3), 229-242. https://doi.org/10.1016/j.jenvman.2004.07.004

8

Choi, H. G., Kim, D. I., Na, C. H., and Han, K. Y. (2012). Assessment of EFDC model for water quality analysis in Nakdong River, Journal of Korea Water Resources Association, 45(7), 685-696. [Korean Literature] https://doi.org/10.3741/JKWRA.2012.45.7.685

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Choi, J., Min, J. H., and Kim, D. W. (2015). Three-dimensional algal dynamics modeling study in lake euiam based on limited monitoring data, Journal of Korean Society on Water Environment, 31(2), 181-195. [Korean Literature] http://dx.doi.org/10.15681/KSWE.2015.31.2.181

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DSI LLC. (2024). EFDC+ Theory, Version 12., Published by DSI LLC, Edmonds WA, Available at https://www.eemodelingsystem.com/wp-content/Download/Documentation/EFDC Theory_Document_Ver_12.pdf

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Fadel, A., Sharaf, N., Siblini, M., Slim, K., and Kobaissi, A. (2019). A simple modelling approach to simulate the effect of different climate scenarios on toxic cyanobacterial bloom in a eutrophic reservoir, Ecohydrology & Hydrobiology, 19(3), 359-369. https://doi.org/10.1016/j.ecohyd.2019.02.005

12

Gad, A. F. (2024). Pygad: An intuitive genetic algorithm python library, Multimedia Tools and Applications, 83(20), 58029-58042. https://doi.org/10.1007/s11042-023-17167-y

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Holland, J. H. (1973). Genetic algorithms and the optimal allocation of trials, SIAM Journal on Computing, 2(2), 88-2019105. https://doi.org/10.1137/0202009

14

Hwang, S., Shin, S. B., Song, J. H., Yoon, K. S., and Kang, M. S. (2018). Simulating arsenic concentration changes in small agricultrual reservoir using EFDC-WASP linkage model, Journal of the Korean Society of Agricultural Engineers, 60(5), 29-40. [Korean Literature] https://doi.org/10.5389/KSAE.2018.60.5.29

15

Jeon, J. H., Chung, S. W., Park, H. S., and Jang, J. R. (2011). Evaluation of EFDC for the simulations of water quality in Saemangeum Reservoir, Journal of Korean Society on Water Environment, 27(4), 445-460. [Korean Literature]

16

Jung, W. S., Kim, S. E., and Kim, Y. D. (2021). Analysis of influential factors of cyanobacteria in the mainstream of Nakdong River using random forest, Journal of Wetlands Research, 23(1), 27-34. [Korean Literature] https://doi.org/10.17663/JWR.2021.23.1.27

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Katoch, S., Chauhan, S. S., and Kumar, V. (2021). A review on genetic algorithm: Past, present, and future, Multimedia Tools and Applications, 80, 8091-8126. https://doi.org/10.1007/s11042-020-10139-6

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Kim, E., Park, C., Na, M., Park, H., and Kim, B. (2018). Impact analysis of tributaries and simulation of water pollution accident scenarios in the water source section of Han River using 3-D hydrodynamic model, Journal of Korean Society on Water Environment, 34(4), 363-374. [Korean Literature] https://doi.org/10.15681/KSWE.2018.34.4.363

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Kim, H. J., Kwak, S., Yoon, M., Kim, I. K., Kim, Y. S., and Kim, D. S. (2019). Effect of a floating photovoltaic system (FPV) at Chungju Dam (Cheongpung Lake) on water quality, Korean Journal of Ecology and Environment, 52(4), 293-305. [Korean Literature] https://doi.org/10.11614/KSL.2019.52.4.293

20

Kim, J. W. and Cho, Y. G. (2021). A study on the short-term water quality change in the lower Yeongsan River, Journal of the Korean Society for Marine Environment & Energy, 24 (2), 72-79. [Korean Literature] https://doi.org/10.7846/JKOSMEE.2021.24.2.72

21

Kim, J., Kim, H., Kim, K., and Ahn, J. M. (2024). Assessing the applicability of deep-learning method for predicting Cyanobacteria in a regulated river, Journal of Environmental Engineering, 150(5), 04024012. https://doi.org/10.1061/JOEEDU.EEENG-7427

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Kim, J., Lee, T., and Seo, D. (2017). Algal bloom prediction of the lower Han River, Korea using the EFDC hydrodynamic and water quality model, Ecological Modelling, 366, 27-36. https://doi.org/10.1016/j.ecolmodel.2017.10.015

23

Kim, M. S. and Han, J. S. (2003). Study estimation of optimal parameter on water quality model using artificial intelligence technical methods, Journal of Korean Society of Environmental Administration, 9(1), 1-9. [Korean Literature]

24

Kwak, I., Choi, B., Jeon, H., Kim, S., Bae, J., Kim, S., and Kim, J. (2020). Analysis of water quality improvement effect by securing water quality characteristics and flow rate in the Geumho River, Journal of Environmental Impact Assessment, 29(6), 414-429. [Korean Literature] https://doi.org/10.14249/eia.2020.29.6.414

25

Lee, H. K. (2008). Improvement of convergence properties for genetic algorithms, Journal of Advanced Navigation Technology, 12(5), 412-419. [Korean Literature]

26

Lee, T., Kim, S., Lee, J., Kim, K., Lee, H., and Kim, D. (2024). A study on algal bloom forecast system based on hydro-meteorological factors in the mainstream of Nakdong River using machine learning, Journal of Wetlands Research, 26(3), 245-253. [Korean Literature] https://doi.org/10.17663/JWR.2024.26.3.245

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Liang, S., Han, S., and Sun, Z. (2015). Parameter optimization method for the water quality dynamic model based on data-driven theory, Marine Pollution Bulletin, 98(1-2), 137-147. https://doi.org/10.1016/j.marpolbul.2015.07.004

28

Lim, S., Gim, H. J., Lee, E., Lee, S. Y., Lee, W. Y., Lee, Y. H., Cassardo, C., and Park, S. K. (2021). Optimization of Snow-Related Parameters in Noah Land Surface Model (v3. 4.1) Using Micro-Genetic Algorithm (v1. 7a), Geoscientific Model Development Discussions, 2021, 1-20. https://doi.org/10.5194/gmd-15-8541-2022

29

Manriquez-Padilla, C. G., Cueva-Perez, I., Dominguez-Gonzalez, A., Elvira-Ortiz, D. A., Perez-Cruz, A., and Saucedo-Dorantes, J. J. (2023). State of charge estimation model based on genetic algorithms and multivariate linear regression with applications in electric vehicles, Sensors, 23(6), 2924. https://doi.org/10.3390/s23062924

30

Ministry of Environment (ME). (2023a). 2022 report on the occurrence and response to algae (Green Tide) in Korea, Ministry of Environment, Ministry of Environment. [Korean Literature]

31

Ministry of Environment (ME). (2023b). 2022 statistics of water works, Ministry of Environment. [Korean Literature]

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Ministry of Environment (ME). (2024a). 2023 report on the occurrence and response to algae (green tide) in Korea, Ministry of Environment, Ministry of Environment. [Korean Literature]

33

Ministry of Environment (ME). (2024b). Water resources Management Information System (WAMIS), http://www.wamis.go.kr/ (accessed Dec. 2024)

34

Ministry of Land, Transport and Maritime Affairs (MLTMA). (2009a). Basic Plan(rivised) for river maintenance of Nakdong River: Nakdong River(from the confluence with the Geumho River to the estuary), Miryanggang, and Yangsancheon, Ministry of Land, Transport and Maritime Affairs. [Korean Literature]

35

Ministry of Land, Transport and Maritime Affairs (MLTMA). (2009b). Basic Plan(rivised) for river maintenance of Nakdong River: Nakdong River(from the national river starting point to the confluence with the Geumho River), Ministry of Land, Transport and Maritime Affairs. [Korean Literature]

36

Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I — A discussion of principles, Journal of Hydrology, 10(3), 282-290. https://doi.org/10.1016/0022-1694(70)90255-6

37

National Institute of Environment Research (NIER). (2022). Intensive monitoring on the regional distribution of Phytoplankton in the Weir Areas(V), National Institute of Environment Research. [Korean Literature]

38

Noh, S., Park, H., Choi, H., and Lee, J. (2014). Effect of climate change for cyanobacteria growth pattern in Chudong station of Lake Daechung, Journal of Korean Society on Water Environment, 30(4), 377-385. [Korean Literature] https://doi.org/10.15681/KSWE.2014.30.4.377

39

Oh, H. Y., Kim, E. J., and Choi, J. H. (2023). Analysis of behavior characteristics of water pollutants in Yeongsan River using 3D hydraulic model, Journal of Korean Society on Water Environment, 39(6), 439-450. [Korean Literature] https://doi.org/10.15681/KSWE.2023.39.6.439

40

Park, D. Y., Kim, S. J., Park, H. S., and Chung, S. W. (2019a). Simulations of the effect of flow control and phosphate loading on the reduction of algae biomass in Gangjeong-Goryong Weir, Journal of Environmental Impact Assessment, 28(6), 507-524. [Korean Literature] https://doi.org/10.14249/eia.2019.28.6.507

41

Park, D. Y., Park, H. S., Kim, S. J., and Chung, S. W. (2019b). Analysis of water quality variation by lowering of water level in Gangjeong-Goryong Weirin Nakdong River, Journal of Environmental Impact Assessment, 28(3), 245-262. [Korean Literature] https://doi.org/10.14249/eia.2019.28.3.245

42

Park, H. K. (2014). Elemental stoichiometry of natural phytoplankton communities in reservoirs of the Han River systems, Journal of Korean Society on Water Environment, 30(6), 665-672. [Korean Literature] https://doi.org/10.15681/KSWE.2014.30.6.665

43

Pelletier, G. J., Chapra, S. C., and Tao, H. (2006). QUAL2Kw–A framework for modeling water quality in streams and rivers using a genetic algorithm for calibration, Environmental Modelling and Software, 21(3), 419-425. https://doi.org/10.1016/j.envsoft.2005.07.002

44

Ranjbar, M. H., Hamilton, D. P., Etemad-Shahidi, A., and Helfer, F. (2021). Individual-based modelling of cyanobacteria blooms: Physical and physiological processes, Science of the Total Environment, 792, 148418. https://doi.org/10.1016/j.scitotenv.2021.148418

45

Seo, D. I., Nam, G. S., Lee, S. H., Lee, E. H., Kim, M., Choi, J. Y., and Chang, K. H. (2013). Plankton community in weir section of the Nakdong River and its relation with selected environmental factors, Korean Journal of Environmental Biology, 31(4), 362-369. [Korean Literature] http://dx.doi.org/10.11626/KJEB.2013.31.4.362

46

Seo, D., Kim, J., and Kim, J. (2020). Analysis of influence on water quality and harmful algal blooms due to weir gate control in the Nakdong River, Geum River, and Yeongsan River, Journal of Korea Water Resources Association, 53(10), 877-887. [Korean Literature] https://doi.org/10.3741/JKWRA.2020.53.10.877

47

Shin, C. M., Kim, D., and Song, Y. (2019). Analysis of hydraulic characteristics of Yeongsan river and estuary using EFDC model, Journal of Korean Society on Water Environment, 35(6), 580-588. [Korean Literature] https://doi.org/10.15681/KSWE.2019.35.6.580

48

Shin, C. M., Min, J. H., Park, S. Y., Choi, J., Park, J. H., Song, Y. S., and Kim, K. (2017). Operational water quality forecast for the Yeongsan river using EFDC model, Journal of Korean Society on Water Environment, 33(2), 219-229. [Korean Literature] https://doi.org/10.15681/KSWE.2017.33.2.219

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Shin, H. J. and Lee, O. M. (2014). The dynamic of phytoplankton communities and the biological water quality assessment at three artificial weirs in downstream of Namhan-river, Journal of Korean Society on Water Environment, 30(6), 612-621. [Korean Literature] https://doi.org/10.15681/KSWE.2014.30. 6.612

50

Tetra Tech. (2006). A hydrodynamic and water quality model for the Lower Charles River Basin, Massachusetts, Tetra Tech.

51

Woo, C. Y., Yun, S. L., Kim, S. G., and Lee, W. T. (2020). Occurrence of harmful Blue-green algae at algae alert system and water quality forecast system sites in Daegu and Gyeongsangbuk-do between 2012 and 2019, Journal of Korean Society of Environmental Engineers, 42, 664-673. [Korean Literature] https://doi.org/10.4491/KSEE.2020.42.12.664

52

Wu, G. and Xu, Z. (2011). Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake, Ecological Modelling, 222(6), 1245-1252. https://doi.org/10.1016/j.ecolmodel.2010.12.021

53

Xu, S., He, G., Fang, H., Bai, S., and Wu, X. (2022). Parameter uncertainty and sensitivity analysis of the three Gorges Reservoir and Xiangxi River EFDC model, Journal of Hydrology, 610, 127881. https://doi.org/10.1016/j.jhydrol.2022.127881

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Yu, N., Kim, S., Yun, J., Seo, D., and Hwang, H. (2024). A study on the causal analysis and reduction measures of blue-green algae using the EFDC model, Journal of Korea Water Resources Association, 57(10), 797-808. [Korean Literature] https://doi.org/10.3741/JKWRA.2024.57.10.797

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Yun, Y., Jang, E., Park, H. S., and Chung, S. W. (2018). Evaluation of eutrophication and control alternatives in Sejong weir using EFDC model, Journal of Environmental Impact Assessment, 27(6), 548-561. [Korean Literature] https://doi.org/10.14249/eia.2018.27.6.548

JKSWE The Journal of
the Korean Society on Water Environment

Editorial Office

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JKSWE The Journal ofthe Korean Society on Water Environment

Editorial Office

Journal XML

References

JKSWE The Journal of
the Korean Society on Water Environment