Integrated GIS/AHP-based flood disaster risk assessment and zonation: a case study of Henan Province, China

Li, Junling; Chen, Huailiang; Liu, Zhongyang; Zou, Chunhui

doi:10.1117/12.861158

Cited by 16 publications

(22 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The issue of flood susceptibility mapping has been explored and examined by numerous researchers (Dawson et al, 2006;Liu et al, 2008;Pradhan and Youssef, 2011). Rapid accessibility to the satellite based remote sensing data and improvement of commercial methods increased the utilization of Geographic Information System (GIS) in flood susceptibility mapping.…”

Section: Introductionmentioning

confidence: 99%

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Tehrany

Pradhan

Mansor

et al. 2015

CATENA

640

246

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Tehrany

Pradhan

Mansor

et al. 2015

CATENA

640

246

View full text Add to dashboard Cite

“…After get a new hazard index, the new risk index can be calculated according to (4), and the result is shown as below: Figure 5. Improved flood risk index It can be seen from Fig.…”

Section: New Hazard Index Flood Frequency Index Hazard Indexmentioning

confidence: 99%

“…Index systems of risk assessment in flooding established are diverse due to different methods [4]. Driving factors of flooding are composed of two parts.…”

Section: Risk Assessment In Floodingmentioning

confidence: 99%

An improved model of regional flood disaster risk assessment based on remote sensing data

Duan

Zhao

et al. 2011

2011 19th International Conference on Geoinformatics

View full text Add to dashboard Cite

This paper puts forward a method to improve the traditional model of regional flood risk assessment with real-time remote sensing monitoring data and historical flood disaster data. It takes the Songhuajiang River Basin as the study area to build the improved regional flood risk assessment model. According to the characteristics of the study area, factors such as rainfall, topography, water density, population density and GDP are selected to build the regional flood risk assessment model based on GIS and AHP, by which the initial Flood Risk Index of Songhuajiang River can be calculated. The historical flood level distribution data that reflect the spatial distribution and frequency of flood events in the study area can be used to improve the hazard index. And with the real-time remote sensing data, the real-time flood extent data can be extracted to improve final risk assessment which reflects the regional flood risk better.

show abstract

“…Therefore, flood disaster risk assessment is still a research hotspot in flood, geography, disaster science, hydrology and hydraulics. Flood disaster risk assessment methods can be divided into flood evolution methods [7]- [9], spatial comprehensive analysis methods [10]- [14], fuzzy comprehensive evaluation methods [15], analytic hierarchy process methods [16] [17] and complex systems modeling methods [18] [19].…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Model for Flood Disaster Risk Assessment Based on Agent-Based Modeling

Linghu

Chen

Guo

et al. 2013

2013 International Conference on Computer Sciences and Applications

View full text Add to dashboard Cite

In this paper, we used agent-based modeling in complex system for flood disaster risk assessment according to the characteristics of flood disaster system. The flood disaster multi agent complex system (FDMACS) had been constructed. The internal structure of different agents and agents' alliance in FDMACS had been designed. The agent communication language (ACL) had been selected as the communication tool using for interaction and collaboration among different agents and agents' alliance in FDMACS. This paper initially built the flood disaster risk assessment conceptual model based on multi agent.

show abstract

Integrated GIS/AHP-based flood disaster risk assessment and zonation: a case study of Henan Province, China

Cited by 16 publications

References 0 publications

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

An improved model of regional flood disaster risk assessment based on remote sensing data

A Conceptual Model for Flood Disaster Risk Assessment Based on Agent-Based Modeling

Contact Info

Product

Resources

About