Numerical Modeling the Flood and Pollutant Transport Processes in Residential Areas with Different Land Use Types

Shulin Fang,Yongpeng Ji,Mingliang Zhang,Gabriele Buttafuoco

doi:10.1155/2022/9320089

Shulin Fang, Yongpeng Ji + Show 2 more

Open Access

https://doi.org/10.1155/2022/9320089

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Abstract

Large-scale flooding causes widespread disaster, and harmful pollutant concentration in water following flood affects public safety and the environment. In this study, a numerical model for solving the 2D shallow water equations and the solute transport equation is proposed to simulate overland flood and pollutant transport caused by floods. The present model is verified by comparing the predictions with the analytical solutions and simulation results; sufficiently high computational accuracy is achieved. The model is also used to simulate flood inundation and pollution spread in the area of Hun and Taizi Lane (HTL) in China due to river dike breaches; the results show that the coupling model has excellent performance for simulating the flooding process and the temporal and spatial distribution of pollutants in urban or rural areas. We use remote sensing techniques to acquire the land coverage in the area of HTL based on Landsat TM satellites. The impacts of changed land use on mitigation of flooding waves and pollutant spread are investigated; the results indicate that the land cover changes have an obvious influence on the evolution process of flood waves and pollutant transport in the study areas, where the transport of pollutants is very dynamic during flood inundation in HTL area. Furthermore, the motion of pollutants considering anisotropic diffusion is more reasonable than that due to isotropic dispersion in simulating pollutant transport associated with the flood in urban or farmland environments.

Highlights

Floods are triggered by the rapid rise of the water level after heavy rainfall; they can cause the river to overflow the embankment, thereby increasing the flood risk in downstream and low-lying areas
It is known to all that remote sensing (RS) data, acquired by optical and microwave sensors mounted on satellites and airplanes, are important alternative sources of information for mapping land use/cover. e objective of the present research is to adopt RS technology to obtain the distribution of residence area and farmland vegetation in the domain of the Hun and Taizi Lane (HTL). e RS images of the HTL area are acquired from Landsat8 Operational Land Imager (OLI), provided by the USGS
This study shows that the model performs well for a prolonged flood in the HTL area with complex 2D topography during a short time in a large-scale domain

Summary

Introduction

Floods are triggered by the rapid rise of the water level after heavy rainfall; they can cause the river to overflow the embankment, thereby increasing the flood risk in downstream and low-lying areas. A solute transport model based on the Lagrangian particle method is presented to predict the potential contamination paths of pollutants from drainage water in urban areas during a pluvial flood event [23]. A transport model based on the Lagrangian particle method is proposed to study the potential contamination paths of solutes in drainage water in an urban area during a pluvial flood event [25]. A strong agreement is observed between the numerical results and analytical solutions of the free surface profile at different times, and the movement of the intersection between the dry and wet areas is accurately captured, with no signs of spurious distortions. Where di is the gird’s distance from center to vertices

Simulation Implementation

Point2

Results and Discussion

Conclusions