High-Resolution Flood Numerical Model and Dijkstra Algorithm Based Risk Avoidance Routes Planning

Bingyao Li, Jingming Hou (), Xinghua Wang, Yongyong Ma, Donglai Li, Tian Wang and Guangzhao Chen
Additional contact information
Bingyao Li: Xi’an University of Technology
Jingming Hou: Xi’an University of Technology
Xinghua Wang: Xi’an University of Technology
Yongyong Ma: Xi’an University of Technology
Donglai Li: Xi’an University of Technology
Tian Wang: Xi’an University of Technology
Guangzhao Chen: Xi’an University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 8, No 19, 3243-3258

Abstract: Abstract Flooding is the most pervasive risk globally among natural hazards, efficient and reliable emergency evacuation path planning scheme is of great significance for improving the emergency rescue efficiency. To this end, a systematic framework for determining the risk avoidance path under flood disasters is proposed, which adopts the high-resolution 2-D hydrodynamic model, the road section weight value module, and the classic Dijkstra algorithm. Then Fengxi New City is applied as a case study in which four different rainfall condition scenarios (50a, 100a, 200a, 500a) are created to verify the applicability of the framework. The simulation results show that the increase of rainfall return period changes the rescue scenario shortest path, and the planned path distance and travel time under 500a rainfall conditions are 33.17% and 28.85% higher than those under no rainfall conditions respectively, and the algorithm time consumption takes an average of 0.012s, which can fully meet the popular acceptance of path planning time. This paper provides a novel and promising method for evaluating the planning and decision-making of the risk avoidance routes under flood disaster scenarios.

Keywords: 2-D hydrodynamic model; Road topology; Path planning; Fengxi New City; Flood emergency management (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03500-5 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:37:y:2023:i:8:d:10.1007_s11269-023-03500-5

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

DOI: 10.1007/s11269-023-03500-5

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 ().