Update of Early Warning Indicators of Flash Floods: A Case Study of Hunjiang District, Northeastern China
1
School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
2
Beijing Seven Trillion Technology Co., Ltd., Beijing 100038, China
3
Lab of Spatial Information Integration, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(2), 314; https://doi.org/10.3390/w11020314
Received: 1 January 2019
/
Revised: 2 February 2019
/
Accepted: 11 February 2019
/
Published: 12 February 2019
(This article belongs to the Special Issue Assessment of Current and Future Vulnerability of Flooding with Hydrologic/Hydraulic Modeling and Remote Sensing Techniques)
The China flash flood investigation and evaluation database (CFFIED) covers important information needed for China’s flash flood warning. This paper uses a statistical induction method, inference formula method and standardized unit hydrograph method to explore its principle, characteristics, and key steps. Then based on the field investigation and the latest data on the flash flood, the Hunjiang District in northeastern China was selected as the research area. Firstly, three typical riverside villages, Xiangmo-1 and Sanchahe-3, Shangqing-4, were screened, and the flash flood warning indicators (e.g., water level, flow rate, critical rainfall) in the CFFIED were updated. Then, the maximum error of the flood peak, estimated by the inference formula method and the water level flow relationship method, is only 10.6%, which indicates that the predicted flood peak flow has high credibility and can check and identify the early warning index; the Manning formula is more accurate in calculating the water level flow relationship. However, the calculated ratio is lower and the roughness is higher, and the flow is smaller under the same water level. Finally, the updated flash flood warning indicators were obtained in the Hunjiang District, which improves the accuracy of the flash flood warning, and provides a reference for updating the early warning indicators in other areas.
View Full-Text
Keywords:
China flash flood investigation and evaluation database; flash flood warning indicator; update; Hunjiang District
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
MDPI and ACS Style
Ma, M.; Zhang, J.; Su, H.; Wang, D.; Wang, Z. Update of Early Warning Indicators of Flash Floods: A Case Study of Hunjiang District, Northeastern China. Water 2019, 11, 314. https://doi.org/10.3390/w11020314
AMA Style
Ma M, Zhang J, Su H, Wang D, Wang Z. Update of Early Warning Indicators of Flash Floods: A Case Study of Hunjiang District, Northeastern China. Water. 2019; 11(2):314. https://doi.org/10.3390/w11020314
Chicago/Turabian StyleMa, Meihong, Jingnan Zhang, Huidong Su, Dacheng Wang, and Zhongliang Wang. 2019. "Update of Early Warning Indicators of Flash Floods: A Case Study of Hunjiang District, Northeastern China" Water 11, no. 2: 314. https://doi.org/10.3390/w11020314
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
