Study on the Influence of Temporal and Spatial Resolution of Rainfall Data on Watershed Flood Simulation Performance

Xinxin Pan, Jingming Hou (), Tian Wang (), Xinyi Li, Jing Jing, Guangzhao Chen, Juan Qiao and Qingyuan Guo
Additional contact information
Xinxin Pan: Xiʼan University of Technology
Jingming Hou: Xiʼan University of Technology
Tian Wang: Xiʼan University of Technology
Xinyi Li: Xiʼan University of Technology
Jing Jing: Xiʼan University of Technology
Guangzhao Chen: Xiʼan University of Technology
Juan Qiao: Xiʼan Meteorological Bureau of Shanxi Province
Qingyuan Guo: Xiʼan University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 8, No 1, 2647-2668

Abstract: Abstract To investigate the impact of temporal and spatial resolution of rainfall data on watershed flood simulation performance, the rainfall data from meteorological stations and the gridded rainfall data from meteorological forecasts for a rainfall event were adopted in this study. Interpolation methods were applied to generate rainfall processes with different spatial and temporal resolutions. A hydrodynamic model was employed to simulate the flow rates at various sections of the watershed under different rainfall scenarios. The results show that as the spatial and temporal resolutions decreased, the flood variation patterns at various sections remained consistent. Namely, the determination coefficient (R2) decreased, whereas the root means square error (RMSE) and mean absolute error (MAE) increased, and the errors in peak flow rates and the fluctuation amplitudes of the flow rates at the sections increased as well. Moreover, a decrease in temporal resolution led to a delay in the peak flow timing. Significant differences were observed between the simulation results generated from the two different rainfall datasets. The R2 values for the simulated flow rates at each section were all above 0.75 for the observed rainfall data, while 40% of the results based on meteorological forecast data were below 0.5. Overall, the simulation results using observed rainfall data outperformed those using meteorological forecast data. Through the comparative analysis of simulation results including the rainfall characteristic parameters such as the watershed-averaged precipitation (AVP) and the coefficient of variation (CV), it was found that AVP had a strong correlation with the peak flow and its increase or decrease directly affected the peak flow. On the contrary, CV showed a negative correlation with the peak flow.

Keywords: Rainfall spatial resolution; Rainfall time resolution; Hydrodynamic model; Weather grid forecast; Basin flood (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03661-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:38:y:2024:i:8:d:10.1007_s11269-023-03661-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-023-03661-3

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().