A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model

Dingtao Shen,Wenlong Chen,Jiechen Wang,Yao Chi,Tianlu Qian

doi:10.3390/w11050987

Abstract

The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evaluation method for building damage by using airborne LiDAR data to obtain large-area, high-precision building information and digital elevation models (DEMs) for potentially affected areas. These data were then used to develop a two-dimensional (2-D) flood routing model. Next, flood loss rate curves were generated by fitting historical damage data to allow rapid evaluation of single-building losses. Finally, we conducted an empirical study based on the Gongshuangcha detention basin in China’s Dongting Lake region. The results showed that the use of airborne LiDAR data for flood-related building damage evaluation can improve the assessment accuracy and efficiency; this approach is especially suitable for rural areas where building information is scarce.

Highlights

Damage prediction and evaluation is a major aspect of flood risk management that assesses elements of socio-economics
The were ground and object points were separated by point cloud morphological filtering. The former spatially interpolated generate high-resolution digital terrain. The latter were categorized for high-resolution building vector were separated by LiDAR point cloud morphological
Loss evaluation framework presented in thisofpaper is practical, and can feasibly applied to other. This evaluation method is formed building and can be feasibly applied to other regions. This evaluation method is formed of LiDAR building extraction and classification, 2-D hydraulic model, and flood loss rate curve of buildings

Summary

Introduction

Damage prediction and evaluation is a major aspect of flood risk management that assesses elements of socio-economics. Flood damage evaluation can conduct quantitative assessments of socio-economic property losses; there are many uncertainties in this approach [7], such losses are quantified and practical methods can be developed. Many studies have been conducted in this field and some countries have developed streamlined flood damage evaluation software for this purpose [8,9,10]. Accurate damage prediction and evaluation requires large-scale, medium-scale, and small-scale assessments [6,11]. Based on historical flood damage data, statistical methods are used to estimate the overall impact of future flood events on regional socio-economics [12,13,14]

Methods

Results

Discussion

Conclusion