journal article·2023-09-18Open access

Integrating Hourly Scale Hydrological Modeling and Remote Sensing Data for Flood Simulation and Hydrological Analysis in a Coastal Watershed

Yang Cao, Congsheng Fu, Mingxiang Yang

Applied Sciences· Volume 13· Issue 18

Abstract

Hourly scale hydrological modeling holds pivotal significance for flood-related research, as watershed floods often occur within a few hours of intense rainfall. Although the SWAT model’s hourly simulation has found application in a few watersheds, the relatively short usage history and limited scope inhibit a comprehensive grasp of its potential. In this study, a coastal watershed in Fukuyama City, Japan was selected as a case study for conducting hourly simulations. The study highlights the hourly simulation’s proficiency in capturing diverse flood trends while also accurately replicating baseflow and flood peaks within the 0 to 200 m3/s range. However, there is an underestimation of peak flows in calculations exceeding 200 m3/s. Moreover, empirical summaries have been generated to outline the parameterization process of hourly simulation, revealing how distinct parameters influence simulated runoff. For instance, it outlines how BFLO_DIST significantly affects baseflow simulation when operating in hourly mode. Our findings provide an empirical summary of the advantages, disadvantages, and parameterization process for hourly simulations of the SWAT model.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Hydrology and Watershed Management Studies · Flood Risk Assessment and Management · Precipitation Measurement and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

University of Chinese Academy of Sciences, Beijing 100049, China

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Funding

National Key Research and Development Program of China · Pioneer Hundred Talent Program, Chinese Academy of Sciences

References (32)

Show source-provided references
1. Climate change impacts on flood peaks in Britain for a range of global mean surface temperature changes10.1111/jfr3.12863 ↗
2. National scale assessment of climate change impacts on flooding in Finland10.1016/j.jhydrol.2010.07.035 ↗
3. Water issues in the Yangtze River and its formation causes and controlling strategies
4. Temporal and spatial features and correlation studies of global natural disasters from 1900 to 2018
5. Neitsch, S.L., Arnold, J.G., and Kiniry, J.R. (2002). Soil and Water Assessment Tool User’s Manual, Grassland, Soil & Water Research Laboratory. Version 2000; GSWRL Report 02-02.
6. Large area hydrologic modeling and assessment—Part I: Model development10.1111/j.1752-1688.1998.tb05961.x ↗
7. Development of a continuous soil moisture accounting procedure for curve number methodology and its behaviour with different evapotranspiration methods10.1002/hyp.6811 ↗
8. A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model10.1016/j.jhydrol.2015.03.027 ↗
9. Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT)10.1016/j.agwat.2016.10.024 ↗
10. Modeling of nutrient export and effects of management practices in a cold-climate prairie watershed: Assiniboine River watershed, Canada10.1016/j.agwat.2016.06.023 ↗
11. Evaluation of water quality in an agricultural watershed as affected by almond pest management practices10.1016/j.watres.2008.05.018 ↗
12. Simulating sub-daily hydrological process with SWAT: A review10.1080/02626667.2019.1642477 ↗
13. Hydrological stream flow modeling on Tungabhadra catchment: Parameterization and uncertainty analysis using SWAT CUP
14. Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS
15. Meng, X., and Wang, H. (2017). Significance of the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) of East Asia. Water, 9.10.3390/w9100765 ↗
16. Does the temporal resolution of precipitation input influence the simulated hydrological components employing the SWAT model?10.1111/1752-1688.12560 ↗
17. Assessing the impact of urbanization on flood risk and severity for the Pawtuxet Watershed, Rhode Island10.1080/10402381.2017.1390016 ↗
18. Development and integration of sub-hourly rainfall-runoff modeling capability within a watershed model10.1007/s11269-010-9670-4 ↗
19. Comparison of daily and sub-daily SWAT models for daily streamflow simulation in the Upper Huai River Basin of China10.1007/s00477-015-1099-0 ↗
20. Calibration and validation of SWAT for sub-hourly time steps using SWAT-CUP
21. Boithias, L., Sauvage, S., Lenica, A., Roux, H., Abbaspour, K.C., Larnier, K., Dartus, D., and Sanchez-Perez, J.M. (2017). Simulating flash floods at hourly time-step using the SWAT model. Water, 9.10.3390/w9120929 ↗
22. Effect of DEM data resolution on SWAT output uncertainty10.1002/hyp.5607 ↗
23. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations10.13031/2013.23153 ↗
24. Hydrological modeling of the iroquois river watershed using HSPF and SWAT10.1111/j.1752-1688.2005.tb03740.x ↗
25. Evaluation of the current state of distributed watershed nutrient water quality modeling10.1021/es5049557 ↗
26. Development of sub-daily erosion and sediment transport algorithms for SWAT10.13031/2013.39841 ↗
27. Effect of subdivision on SWAT flow, sediment, and nutrient predictions10.1111/j.1752-1688.2004.tb04460.x ↗
28. Abbaspour, K.C., Vaghefi, S.A., and Srinivasan, R.A. (2018). Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference. Water, 10.10.3390/w10010006 ↗
29. Student (1908). The Probable Error of a Mean. Biometrika, 6, 1–25.10.2307/2331554 ↗
30. SWAT-CS: Revision and testing of SWAT for Canadian Shield catchments10.1016/j.jhydrol.2014.02.023 ↗
31. A Modeling Study of Direct and Indirect N2O Emissions From a Representative Catchment in the US Corn Belt10.1029/2017WR022108 ↗
32. Factorial sampling plans for preliminary computational experiments10.1080/00401706.1991.10484804 ↗