Study on the Influence of Abnormal Rainfall Station Detection in the Basin on the Simulation Accuracy of Hydrological Model

DOI

10.2991/978-94-6463-726-7_16How to use a DOI?

Keywords

Rainfall Station; Anomaly Detection; Rainfall Process Index; Xin’anjiang Model; DBSCAN Clustering

Abstract

The presence of abnormal rainfall stations in the basin will affect the quality of hydrological model input, thereby reducing the simulation accuracy of the hydrological model. In order to improve the simulation accuracy of the hydrological model, this paper attempts to first calculate the rainfall process missing index and rainfall process similarity index, and use the DBSCAN clustering algorithm to cluster the calculated index to screen out the missing abnormal stations; secondly, a lumped Xin’anjiang model is constructed to simulate the long flow of 1h, 3h, and 6h before and after the screening of abnormal rainfall stations; finally, the simulation results of the hydrological model are evaluated by the NS of the model simulation results and the Re of the water volume simulation. The results of the closed basin above the Xiangtun Station of Le’an River as the research object show that after using the method proposed in this paper to remove the abnormal rainfall station data, the NS of the model simulation is increased by 0.07, and the relative error of the water volume simulation is increased by 18.08%, which has a certain effect on improving the accuracy of the hydrological model simulation.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ke Jia
AU  - Lan Lan
AU  - Zhenliang Ma
AU  - Guoliang Ji
AU  - Yi Fei Tian
PY  - 2025
DA  - 2025/06/13
TI  - Study on the Influence of Abnormal Rainfall Station Detection in the Basin on the Simulation Accuracy of Hydrological Model
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 145
EP  - 159
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_16
DO  - 10.2991/978-94-6463-726-7_16
ID  - Jia2025
ER  -