Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

This study presents a water accumulation diffusion algorithm to spatially simulate rainstorm-induced waterlogging for people’s lives and property safety. Taking part of Jinfeng District in Yinchuan City, China, as a study area, a storm water management model (SWMM) model is constructed with the aid...

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Main Authors: Jingwei Hou, Yixian Du
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2019.1707719
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author Jingwei Hou
Yixian Du
author_facet Jingwei Hou
Yixian Du
author_sort Jingwei Hou
collection DOAJ
description This study presents a water accumulation diffusion algorithm to spatially simulate rainstorm-induced waterlogging for people’s lives and property safety. Taking part of Jinfeng District in Yinchuan City, China, as a study area, a storm water management model (SWMM) model is constructed with the aid of geographic information system (GIS) and remote sensing (RS) technologies. GIS is used to divide sub-catchments, generalize drainage system, set parameters, construct spatial geodatabase, and identify flood extents and depths. RS is used to obtain land-use/land-cover information. The water accumulation diffusion algorithm is then designed using the strategies of the dynamic interactions between pipes and surface and between central pixel and its neighbourhood pixels to transform water accumulation volume of sub-catchment into the submerged range and water accumulation depth. Positions, extents, depths, and volumes of water accumulation from pipe network and surface are simulated, respectively. The spatial simulation precisions of rainstorm waterlogging from the pipe network and surface are verified according to the measured and cyber rainstorm data, respectively. The results show that (1) the number of water accumulation nodes increases with the increase of rainfall intensity; (2) urban waterlogging is mainly distributed in the intersects of roads, low depressions and the aged drainage networks; and (3) spatial simulation of urban rainstorm waterlogging based on the GIS, RS, and SWMM techniques and the water accumulation diffusion algorithm is reliable. The results can provide decision-makings to predict rainstorm waterlogging, design drainage network, and construct a sponge city.
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spelling doaj.art-6cb4f260208444f7a3eef1ac94b676732022-12-21T19:39:52ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132020-01-01111718710.1080/19475705.2019.17077191707719Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithmJingwei Hou0Yixian Du1College of Resources and Environmental Science, Ningxia UniversitySchool of Geography Science, Nanjing Normal UniversityThis study presents a water accumulation diffusion algorithm to spatially simulate rainstorm-induced waterlogging for people’s lives and property safety. Taking part of Jinfeng District in Yinchuan City, China, as a study area, a storm water management model (SWMM) model is constructed with the aid of geographic information system (GIS) and remote sensing (RS) technologies. GIS is used to divide sub-catchments, generalize drainage system, set parameters, construct spatial geodatabase, and identify flood extents and depths. RS is used to obtain land-use/land-cover information. The water accumulation diffusion algorithm is then designed using the strategies of the dynamic interactions between pipes and surface and between central pixel and its neighbourhood pixels to transform water accumulation volume of sub-catchment into the submerged range and water accumulation depth. Positions, extents, depths, and volumes of water accumulation from pipe network and surface are simulated, respectively. The spatial simulation precisions of rainstorm waterlogging from the pipe network and surface are verified according to the measured and cyber rainstorm data, respectively. The results show that (1) the number of water accumulation nodes increases with the increase of rainfall intensity; (2) urban waterlogging is mainly distributed in the intersects of roads, low depressions and the aged drainage networks; and (3) spatial simulation of urban rainstorm waterlogging based on the GIS, RS, and SWMM techniques and the water accumulation diffusion algorithm is reliable. The results can provide decision-makings to predict rainstorm waterlogging, design drainage network, and construct a sponge city.http://dx.doi.org/10.1080/19475705.2019.1707719gisrainstorm waterloggingspatial simulationswmmwater accumulation diffusion algorithm
spellingShingle Jingwei Hou
Yixian Du
Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
Geomatics, Natural Hazards & Risk
gis
rainstorm waterlogging
spatial simulation
swmm
water accumulation diffusion algorithm
title Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
title_full Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
title_fullStr Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
title_full_unstemmed Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
title_short Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
title_sort spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm
topic gis
rainstorm waterlogging
spatial simulation
swmm
water accumulation diffusion algorithm
url http://dx.doi.org/10.1080/19475705.2019.1707719
work_keys_str_mv AT jingweihou spatialsimulationofrainstormwaterloggingbasedonawateraccumulationdiffusionalgorithm
AT yixiandu spatialsimulationofrainstormwaterloggingbasedonawateraccumulationdiffusionalgorithm