Application of HEC-HMS model and satellite precipitation products to restore runoff in Laigiang river basin in Vietnam

https://doi.org/10.22146/ijg.66176

Ngo Anh Tu(1*), Nguyen Huu Xuan(2), Nguyen Thi Tuong Vi(3), Phan Thai Le(4)

(1) Faculty of Natural Sciences, Quynhon University, Vietnam
(2) Faculty of Natural Sciences, Quynhon University, Vietnam
(3) Faculty of Natural Sciences, Quynhon University, Vietnam
(4) Faculty of Natural Sciences, Quynhon University, Vietnam
(*) Corresponding Author

Abstract


The Laigiang river basin in the South Central Coast of Vietnam plays an important role in the socio-economic development of Binhdinh Province. In recent decades, the region has experienced commonly flooding in vast areas. This research aims to simulate event-based rainfall-runoff modelling, a historical flood event in December 2016, by applying the HEC-HMS model and rainfall data from CHIRPS. The CHIRPS data is an acceptable potential data input of the hydrology model. These have been confirmed through reliable validation indexes: The peak flood flow rate of 2,542.6 m3/s corresponds to the flood frequency of 5%; NSE with the value at 0.95; R2 coefficient reached 0.87; PBIAS being around 0.45, and PFC being at 0.89. It shows better performance in the rainy season than in the dry season. Inclusive, the CHIRPS rainfall data set and the HEC model could be used for some operational purposes in weather forecasting, especially for flood warnings in river basins in the South Central Coast, Vietnam.


Keywords


Rainfall-runoff; satellite precipitation CHIRPS; HEC-HMS; Laigiang river basin

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References

Afrin, S., Gupta, A., Farjad, B., Ahmed, M., Achari, G., and Hassan, Q. K. (2019). Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications. Sensors, 19(22), 4891. https://doi.org/10.3390/s19224891

Belayneh, A., Sintayehu, G., Gedam, K., and Muluken, T. (2020). Evaluation of Satellite Precipitation Products Using HEC-HMS Model. Modeling Earth Systems and Environment, 6(4), 2015–2032. https://doi.org/10.1007/s40808-020-00792-z

Boufekane, A., and Saighi, O. (2018). Flow Estimation in a Basin by Using a Hydrological Model: Application to the Basin of Wadi Djendjen (Jijel, North-East Algeria). Water Resources, 45(4), 523–531. https://doi.org/10.1134/S0097807818040024

Bui, H. T., Ishidaira, H., and Shaowei, N. (2019). Evaluation of The Use of Global Satellite–Gauge and Satellite-only Precipitation Products in Stream Flow Simulations. Applied Water Science, 9(3), 53. https://doi.org/10.1007/s13201-019-0931-y

Castro, C. V., and Maidment, D. R. (2020). GIS Preprocessing for Rapid Initialization of HEC-HMS Hydrological Basin Models using Web-based Data Services. Environmental Modelling and Software, 130, 104732. https://doi.org/10.1016/j.envsoft.2020.104732

Deursen, W. P. . van. (1995). Geographical Information Systems and Dynamic Models: Development and Application of a Prototype Spatial Modelling Language. University of Utrecht The Netherlands.

Fatkhuroyan, F., Wati, T., Sukmana, A., and Kurniawan, R. (2018). Validation of Satellite Daily Rainfall Estimates Over Indonesia. Forum Geografi, 32(2), 170–180. https://doi.org/10.23917/forgeo.v32i2.6288

Halwatura, D., and Najim, M. M. M. (2013). Application of the HEC-HMS Model for Runoff Simulation in a Tropical Catchment. Environmental Modelling and Software, 46, 155–162. https://doi.org/10.1016/j.envsoft.2013.03.006

Huong, N. ., and et al. (2005). Hydrometeorological Characteristics of Binhdinh Province - The science and Technology Project of Binhdinh Province.

Janjai, S., Nimnuan, P., Nunez, M., Buntoung, S., and Cao, J. (2015). An Assessment of Three Satellite-Based Precipitation Data Sets as Applied to The Thailand Region. Physical Geography, 36(4), 282–304. https://doi.org/10.1080/02723646.2015.1045286

Ji, X., Li, Y., Luo, X., He, D., Guo, R., Wang, J., Bai, Y., Yue, C., and Liu, C. (2020). Evaluation of Bias Correction Methods for APHRODITE Data to Improve Hydrologic Simulation in a Large Himalayan Basin. Atmospheric Research, 242, 104964. https://doi.org/10.1016/j.atmosres.2020.104964

Khare, D., Patra, D., Mondal, A., and Kundu, S. (2017). Impact of Landuse/land Cover Change on Run-off in The Catchment of a Hydro Power Project. Applied Water Science, 7(2), 787–800. https://doi.org/10.1007/s13201-015-0292-0

Kiet, B. (2018). Building Flood Map of Laigiang River Basin in Binhdinh Province. Construction Engineering of Water Works. The UNiversity of Danang.

Libanda, B., Mie, Z., Nyasa, L., and Chilekana, N. (2020). Deciphering the Performance of Satellite-Based Daily Rainfall Products Over Zambia. Acta Geophysica, 68(3), 903–919. https://doi.org/10.1007/s11600-020-00429-w

Natarajan, S., and Radhakrishnan, N. (2020). An Integrated Hydrologic and Hydraulic Flood Modeling Study for a Medium-Sized Ungauged Urban Catchment Area: A Case Study of Tiruchirappalli City Using HEC-HMS and HEC-RAS. Journal of The Institution of Engineers (India): Series A, 101(2), 381–398. https://doi.org/10.1007/s40030-019-00427-2

Nghinh, L. ., Hoa, P. ., and Hanh, N. . (2014). Application Study in HEC-HMS Model for Calculation of Flood Flow of Rivers in Quang Tri and Binh Dinh Provinces. Journal of Water Resources and Environmental Engineering.

Ngoc, T. A., Hiramatsu, K., and Harada, M. (2013). Optimizing Parameters for Two Conceptual Hydrological Models Using a Genetic Algorithm: A Case Study in the Dau Tieng River Watershed, Vietnam. Japan Agricultural Research Quarterly: JARQ, 47(1), 85–96. https://doi.org/10.6090/jarq.47.85

Nguyen, D., Nguyen, H. S., and Le, D. . (2013). Application of HEC-HMS and HEC-RAS Models to Simulate Flood Flows in the Huong River Basin. Journal of Science, Technology, Irrigation and Environment, 42(9), 12–17.

Quynh, .L.T.T. (2017). Building Flood Map of Sesan River Basin. University of Natural Science.

Reda, K. W., Liu, X., Tang, Q., and Gebremicael, T. G. (2021). Evaluation of Global Gridded Precipitation and Temperature Datasets against Gauged Observations over the Upper Tekeze River Basin, Ethiopia. Journal of Meteorological Research, 35(4), 673–689. https://doi.org/10.1007/s13351-021-0199-7

Sepaskhah, A. R., and Bondar, H. (2002). Estimation of Manning Roughness Coefficient for Bare and Vegetated Furrow Irrigation. Biosystems Engineering, 82(3), 351–357. https://doi.org/10.1006/bioe.2002.0076

Son, N. ., and Anh, N. Q. (2015). Exploiting the Use of Rainfall Data from Satellite in Flood Forecasting in the Mekong River Basin (from Chiang Saen to Strung Streng). VNU Journal of Science, Natural Sciences and Technology, 31(3S), 222–230.

Stampoulis, D., Anagnostou, E. N., and Nikolopoulos, E. I. (2013). Assessment of High-Resolution Satellite-Based Rainfall Estimates over the Mediterranean during Heavy Precipitation Events. Journal of Hydrometeorology, 14(5), 1500–1514. https://doi.org/10.1175/JHM-D-12-0167.1

Tinkler, K. J. (1997). Critical Flow in Rockbed Streams with Estimated Values for Manning’s n. Geomorphology, 20(1–2), 147–164. https://doi.org/10.1016/S0169-555X(97)00011-1

Trinh-Tuan, L., Matsumoto, J., Ngo-Duc, T., Nodzu, M. I., and Inoue, T. (2019). Evaluation of Satellite Precipitation Products over Central Vietnam. Progress in Earth and Planetary Science, 6(1), 54. https://doi.org/10.1186/s40645-019-0297-7

USACE. (2000). Hydrologic Modeling System HEC-HMS: Technical Reference Manual. US Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center.

USACE. (2015). Hydrologic Modeling System (HEC-HMS) Applications Guide March. US Army Corps of Engineers, Institute for Water Resources, Hydrologic Engineering Center.



DOI: https://doi.org/10.22146/ijg.66176

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Copyright (c) 2022 Ngo Anh Tu, Nguyen Huu Xuan, Nguyen Thi Tuong Vi, Phan Thai Le

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

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