Research of reservoir watershed fine zoning and flood forecasting method

Jiazheng Lu (), Jun Guo (), Li Yang and Xunjian Xu
Additional contact information
Jiazheng Lu: State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment
Jun Guo: State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment
Li Yang: State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment
Xunjian Xu: State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 89, issue 3, No 16, 1306 pages

Abstract: Abstract Flood disaster is an important threat to the safe operation of reservoirs. Accurate flood forecasting can provide important information for optimal reservoir operation. Generally, the characteristic of precipitation spatial distribution is analyzed based on observation of several discreet preset stations. This cannot catch the rainstorm center all the time and will lead to deviation in the characteristic of precipitation spatial distribution. Therefore, it can hardly arrive at optimal sub-watershed delineation and flood modeling. Therefore, a novel method is proposed for analysis of characteristic of precipitation spatial distribution in consideration of rainfall distribution and the delay of rainfall–runoff concentration. Based on the analysis results of precipitation spatial distribution, several key sub-basins which have significant impact on the flood process can be recognized. And then the elaborate sub-watershed delineation and flood modeling approach is put forward consequently on these key sub-basins. The efficacy of the proposed method is estimated on the flood forecasting of Zhexi reservoir watershed. The results verify that the proposed method can significantly improve the flood forecasting precision, which can provide important decision-making basis for reservoir operation.

Keywords: Reservoir watershed; Flood forecasting; Sub-watershed delineation; Nash coefficient (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-017-3017-x 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:nathaz:v:89:y:2017:i:3:d:10.1007_s11069-017-3017-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-017-3017-x

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().