Estimation Method of Inundation Extent Based on Mathematical Morphology

Jianxun Li,Kin Keung Lai,Paul Safonov

doi:10.1155/2019/7825831

Abstract

Estimation of inundation extent is critical for the flood control system. It helps decision-maker determine the scope of damage to save residents’ lives and property. In this paper, we analyzed the drawbacks of two kinds of methods of inundation estimation, hydrodynamic method and space-filling method, and divided inundation extent into water-body extent and water-invasion extent for the purpose of enhancing estimation accuracy. Based on Mathematical Morphology, an inundation estimation method suitable for flood mapping around natural and artificial lakes was put forward by integrating remote sensing (RS) data and digital elevation model (DEM) data. This method consists of three aspects, including the subdivision of water-body extent, the deduction of water-invasion extent which is viewed as the expansion of water-body extent, and the smoothing the boundaries of water-invasion extent. With subdividing DEM data horizontally into cross sections to build equiangular subsets, the expansion operation was implemented by structuring elements which were established based on set operations and scalar flexibilities. Thus, water-invasion extent was easily described by the structuring elements under given water volume, so that inundation extent was conveniently estimated by spatial data. The experiment results show that the method has the advantages of high accuracy and expressiveness and low time consumption. It had been used to analyze the inundation caused by the water conservancy project named Hanjiang-to-Weihe River Water Transfer Project in China. The method served as decision support for building an efficient emergency response mechanism and helped implement flood disaster forecast and simulation.

Highlights

Inundation is result from flood and tsunami and even from the construction of hydraulic projects that cuts off river to build a dam
Based on Mathematical Morphology, an inundation estimation method suitable for flood mapping around natural and artificial lakes was put forward by integrating remote sensing (RS) data and digital elevation model (DEM) data. is method consists of three aspects, including the subdivision of water-body extent, the deduction of water-invasion extent which is viewed as the expansion of water-body extent, and the smoothing the boundaries of waterinvasion extent
With subdividing DEM data horizontally into cross sections to build equiangular subsets, the expansion operation was implemented by structuring elements which were established based on set operations and scalar flexibilities. us, water-invasion extent was described by the structuring elements under given water volume, so that inundation extent was conveniently estimated by spatial data. e experiment results show that the method has the advantages of high accuracy and expressiveness and low time consumption

Summary

Introduction

Inundation is result from flood and tsunami and even from the construction of hydraulic projects that cuts off river to build a dam. Combining the flood extent information derived from RS imagery and hydrodynamic simulations, Nguyen et al [2] proposed a model for estimating inundation depth and spatially distributed water level. Under the conservation laws of specific water volume, hydrodynamic method fully demonstrates hydrological characteristics and serves as an accurate estimation model to estimate inundation extent. Since space-filling method is implemented by simple mathematical calculations with large errors, the research mainly focuses on improving the estimation accuracy. With the support of interpolation techniques, Sopelana et al [21] proposed a continuous simulation method for the estimation of extreme inundation in coastal river reaches It enhanced the effectiveness and practicability of space-filling method in inundation estimation. Li et al [26] have presented an inundation estimation method using the Mathematical Morphology algorithm, but they adopted simple structuring elements and lack the consideration of water-invasion issues. erefore, the accuracy of inundation extent analysis still has a chance to be improved

Inundation Estimation Based on Mathematical Morphology

Experiments and Analyses

Findings

Conclusion