@article{LI2024, 
author = {Zhijia LI and Xinyuan ZHANG and Yunpeng BAI and Pengnian HUANG},
title = {Retrospective simulation on the Haihe “23· 7” basin-wide extreme flood},
year = {2024},
journal = {Journal of Hohai University (Natural Sciences)},
volume = {52},
number = {5},
pages = {13-19},
keywords = {Haihe “ 23 · 7” basin-wide extreme flood, extreme precipitation, flood forecasting, Xin ’ anjiang-Haihe model, hydrological model},
url = {https://www.sciopen.com/article/10.3876/j.issn.1000-1980.2024.05.002},
doi = {10.3876/j.issn.1000-1980.2024.05.002},
abstract = {To support the decision-making and forecasting work for the catastrophic flood in the Haihe River Basin, the Zijingguan and Manshuihe sub-basins, located in the Daqing River where a catastrophic flood occurred in July 2023, were selected for the flood simulation and prediction with the Xin’anjiang-Haihe model based on measured rainfall and discharge data. For the Zijingguan sub-basin, 5 floods from 1996 to 2020 were chosen for the parameter calibration, while for the Manshuihe sub-basin, 8 floods from 1953 to 2016 were used. The simulation was validated against the Haihe “23· 7” basin-wide extreme flood event. The results showed that the relative errors of peak discharge and flood volume in both sub-basins were within 20%, with a peak timing error of 0 hours. The high accuracy of the hydrological model constructed in this study, along with the good agreement between simulation and measured results, demonstrates its ability to reflect the actual flood process. A comparison between different models revealed that the Xin’anjiang-Haihe model performed better in the Manshuihe sub-basin, which is more affected by human activities, compared to the Zijingguan sub-basin with lesser human influence.}
}