A study on the derivation and evaluation of flow duration curve (FDC) using deep learning with a long short-term memory (LSTM) networks and soil water assessment tool (SWAT) |
Choi, Jung-Ryel
(Department of Urban Environmental Disaster Management, Kangwon National University)
An, Sung-Wook (Department of Urban Environmental Disaster Management, Kangwon National University) Choi, Jin-Young (Department of Environment Certification & Inspection, Korea Environment Corporation) Kim, Byung-Sik (Department of Urban Environmental Disaster Management, Kangwon National University) |
1 | Lee, D.E., Lee, G.H., Kim, S.W., and Jung, S.H. (2020). "Future runoff analysis in the mekong river basin under a climate change scenario using deep learning." Water, Vol. 12, No. 6. doi: 10.3390/w12061556 DOI |
2 | Lee, G.H., and Jung, S.H. (2018). "Comparison of physics-based and data-driven models for streamflow simulation of the mekong river." Journal of the Korea Water Resources Association, Vol. 51, No. 6, pp. 503-514. doi: 10.3741/JKWRA.2018.51.6.503 DOI |
3 | Ministry of Land, Infrastructure and Transportation of Korea (MOLIT) (2000). The long-term comprehensive water resource plan (Water Vision 2020). |
4 | Ouma, Y.O., Cheruyot, R., and Wachera, A.N. (2021). "Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin." Complex & Intelligent Systmes, doi: 10.1007/s40747-021-00365-2 DOI |
5 | Leta, O.T., and Bauwens, W. (2018). "Assessment of the impact of climate change on daily extreme peak and low flows of Zenne Basin in Belgium." Hydrology, Vol. 5, No. 3, pp. 38. doi: 10.3390/hydrology5030038 DOI |
6 | Shim, K.H., Kim, G.H., Im, T.H., Kim, Y.S., and Kim, S.M. (2021). "A study on the water quality improvement of major tributaries in Seoul, applying watershed evaluation techniques." Journal of Korean Society on Water Environment, Vol. 37, No. 1, pp. 32-46. doi: 10.15681/KSWE.2021.37.1.32 DOI |
7 | Yang, M.H., Nam, W.H., Kim, H.J., Kim, T.G., Shin, A.K., and Kang, M.S. (2021). "Anomaly detection in reservoir water level data using the LSTM model based on deep learning." Journal of the Korean Society of Hazard Mitigation, Vol. 21, No. 1, pp. 71-81. doi: 10.9798/KOSHAM.2021.21.1.71 DOI |
8 | Khalilian, S., and Shahvari, N. (2019). "A SWAT evaluation of the effects of climate change on renewable water resources in salt lake sub-basin, Iran." AgriEngineering, Vol. 1, No. 1, pp. 44-57. doi: 10.3390/agriengineering1010004 DOI |
9 | Jung, J.W., Mo, H.L., Lee, J.H., Yoo, Y.H., and Kim, H.S. (2021). "Flood Stage Forecasting at the Gurye-gyo station in Sumjin River using LSTM-based deep learning models" Journal of the Korean Society of Hazard Mitigation, Vol. 21, No. 3, pp. 193-201. doi: 0.9798/KOSHAM.2021.21.3.193 |
10 | Sehgal, V., and Sridhar, V. (2018). "Effect of hydroclimatological teleconnections on the watershed-scale drought predictability in the southeastern United States." International Journal of Climatology, Vol. 38, No. S1, pp. e1139-e1157. doi: 10.1002/joc.5439 DOI |
11 | Kim, D.H., Hwang, S.W., Jang, T.I., and So, H.C. (2018). "Assessing climate change impacts on hydrology and water quality using SWAT model in the Mankyung watershed." Journal of the Korean Society of Agricultural Engineers, Vol. 60, No. 6, pp. 83-96. doi: 10.5389/KSAE.2018.60.6.083 DOI |
12 | Mok, J.Y., Choi, J.H., and Moon, Y.I. (2020). "Prediction of multipurpose dam inflow using deep learning." Journal of the Korea Water Resources Association, Vol. 53, No. 2, pp. 97-105. doi: 10.3741/JKWRA.2020.53.2.97 DOI |
13 | Kim, D.R., and Kim, S.J. (2017). "A study on parameter estimation for SWAT calibration considering streamflow of long-term drought periods." Journal of the Korean Society of Agricultural Engineers, Vol. 59, No. 2, pp. 19-27. doi: 10.5389/KSAE.2017.59.2.019 DOI |
14 | Chen, X., Li, F.W., Li, J.Z., and Feng, P. (2019). "Three-dimensional identification of hydrological drought and multivariate drought risk probability assessment in the Luanhe River basin, China." Theoretical and Applied Climatology, Vol. 137, pp. 3055-3076. doi: 10.1007/s00704-019-02780-5 DOI |
15 | Choi, J.R., Yoon, H.C., Won, C.H., Lee, B.H., and Kim, B.S. (2021b). "A study on the estimation and evaluation of ungauged reservoir inflow for local government's agricultural drought forecasting and warning." Journal of the Korea Water Resources Association, Vol. 54, No. 6, pp. 395-405. doi: 10.3741/JKWRA.2021.54.6.395 DOI |
16 | Hochreiter, S., and Schmidhuber, J. (1997). "Long short-term memory." Neural Computation, Vol. 9, No. 8, pp. 1735-1780. doi: 10.1162/neco.1997.9.8.1735 DOI |
17 | Kim, C.G., and Kim, N.W. (2012). "Comparison of natural flow estimates for the han river basin using TANK." Journal of the Korea Water Resources Association, Vol. 45, No. 3, pp. 301-316. doi: 10.3741/JKWRA.2012.45.3.301 DOI |
18 | Park, J.K. (2009). "Application of SWAT model for daily streamflow at the Kum River." Journal of the Korea Society of Environmental Administration, Vol. 15, No. 1, pp. 29-36. |
19 | Arnold, J.G., Allen, P.M., and Bernhardt, G. (1993). "A comprehensive surface-groundwater flow Model." Journal of Hydrology, Vol. 142, No. 1-4, pp. 47-69. doi: 10.1016/0022-1694(93)90004-S DOI |
20 | Nash, J.E., and Sutcliffe, J.V. (1970) "River flow forecasting through conceptual models part I - A discussion of principles." Journal of Hydrology, Vol. 10, No. 3, pp. 282-290. doi: 10.1016/0022-1694(70)90255-6 DOI |
21 | Visakh, S., Raju, P.V., Kulkarni, S.S., and Diwakar, P.G. (2019). "Inter-comparison of water balance components of river basins draining into selected delta districts of Eastern India." The Science of the Total Environment, Vol. 654, pp. 1258-1269. doi: 10.1016/j.scitotenv.2018.11.162 DOI |
22 | Jung, S.H., Cho, H.S., Kim, J.Y., and Lee, G.H. (2018). "Prediction of water level in a tidal river using a deep-learning based LSTM model" Journal of the Korea Water Resources Association, Vol. 51, No. 12, pp. 1207-1216. doi: 10.3741/JKWRA.2018.51.12.1207 DOI |
23 | Han, H.C., Choi, C.H., Jung, J.W., and Kim, H.S. (2021). "Application of sequence to sequence learning based LSTM model (LSTM-s2s) for forecasting dam inflow." Journal of the Korea Water Resources Association, Vol. 54, No. 3, pp. 157-166. doi: 10.3741/JKWRA.2021.54.3.157 DOI |
24 | Han, J.H., Ryu, T.S., Lim, K.J., and Jung, Y.H. (2016). "A review of baseflow analysis techniques of watershed-scale runoff models." Journal of the Korean Society of Agricultural Engineers, Vol. 58, No. 4, pp. 75-83. doi: 10.5389/KSAE.2016.58.4.075 DOI |
25 | Hoyos, N., Correa-Metrio, A., Jepsen, S.M., Wemple, B., Valencia, S., Marsik, M., Doria, R., Escobar, J., Restrepo, J.C., and Velez, M.I. (2019). "Modeling streamflow response to persistent drought in a coastal tropical mountainous watershed, Sierra Nevada De Santa Marta, Colombia." Water, Vol. 11, No. 1, p. 94. doi: 10.3390/w11010094 DOI |
26 | Kim, E.D., Ko, S.K., and Lee, B.T. (2021). "Technical trends of time-series data imputation." ETRI Electronics and Telecommunications Trends. doi: /0.22648/ETRI.2021.J.360414 |
27 | Xu, W., Jiang, Y., Jhang, X., Li, Y., Zhang, R., and Fu, G. (2020). "Using long short-term memory networks for river flow prediction." Hydrology Research, Vol. 51, No. 6, pp. 1358-1376. doi: 10.2166/nh.2020.026 DOI |
28 | Choi, J.R., Chung, I.M., Jeung, S.J., Choo, K.S., Oh, C.H., and Kim, B.S. (2021a). "Development and verification of the available number of water intake days in ungauged local water source using the SWAT model and flow recession." Water, Vol. 13, No. 11, 1511. doi: 10.3390/w13111511 DOI |
29 | Hu, C., Wu, Q., Li, H., Jian, S., Li, N., and Lou, Z. (2018). "Deep learning with a long short-term memory networks approach for rainfall-runoff simulation." Water, Vol. 10, No. 11, 1543. doi: 10.3390/w10111543 DOI |
30 | Mao, G., Wang, M., Liu, J., Wang, Z., Wang, K., Meng, Y., and Zhong, R. (2021). "Comprehensive comparison of artificial neural networks and long short-term memory networks for rainfall-runoff simulation." Physics and Chemistry of the Earth, Vol. 123, No. 1, 103026. doi: 10.1016/j.pce.2021.103026 DOI |
31 | Korea Research Institute for Human Settlements (KRIHS) (2020). A proposal to establish the reference discharges for rational river management. |
32 | Kratzert, F., Klotz, D., Brenner, C., Schulz, K., and Herrnegger, M. (2018). "Rainfall-runoff modelling using long short-term memory (LSTM) networks." Hydrology and Earth System Sciences, Vol. 22, No. 11, pp. 6005-6022. doi: 10.5194/hess-22-6005-2018 DOI |
33 | Le, M.H., Lakshmi, V., Bolten, J., and Bui, D.D. (2020). "Adequacy of satellite-derived precipitation estimate for hydrological modeling in Vietnam basins." Journal of Hydrology, Vol. 586. doi: 10.1016/j.jhydrol.2020.124820 DOI |