An Urban Surface Flooding Modeling Based on Cellular Automata

LAI Zehui; BAO Shitai; CHEN Shunqing; LI Tianbing

doi:10.13961/j.cnki.stbctb.2015.06.033

您当前的位置：

首页 >

文章列表页 >

An Urban Surface Flooding Modeling Based on Cellular Automata

- An Urban Surface Flooding Modeling Based on Cellular Automata
- Bulletin of Soiland Water Conservation Vol. 35, Issue 6, Pages: 182-186(2015)
- 作者机构：
  
  1. 华南农业大学资源环境学院,广东,广州,510642
  2. 广州奥格智能科技有限公司,广东,广州,510663
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2015.06.033
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
LAI Zehui, BAO Shitai, CHEN Shunqing, et al. An Urban Surface Flooding Modeling Based on Cellular Automata[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 182-186.
DOI：

LAI Zehui, BAO Shitai, CHEN Shunqing, et al. An Urban Surface Flooding Modeling Based on Cellular Automata[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 182-186. DOI： 10.13961/j.cnki.stbctb.2015.06.033.

摘要

[目的] 对城市地表水文产汇流时空过程进行模拟研究

以期为城市排水防涝应急决策提供依据。[方法] 针对城市地表覆盖破碎性和地形复杂性的特征

构建基于元胞自动机(CA)的城市地表积水模型

结合水力水文学原理定义元胞及其规则。[结果] 与传统统计经验模型、物理模型相比

该模型避免了汇水区划分、水流路径确定、参数提取等数据预处理问题

以广州市番禺区富华东路段区域作为试验区进行参数率定及模型验证

根据规则更新每个元胞的状态参数可获得任意时刻地表积水量、径流量和水流。[结论] 该CA模型可以准确模拟地表水流时空分布及其变化

模拟结果可靠、表达直观;通过雨水口不同排放量模拟和常用数学模型对比分析表明

CA城市地表积水模型在城市内涝模拟中具有良好的实用性及易操作性。

Abstract

[Objective] It is necessary to study on the spatial and temporal process of urban overland runoff that could provide support decisions for waterlogging prevention and drainage emergency.[Methods] Because of the fragmentation of underlying surface and complexity of micro topology in urban environment

urban hydrology process is too complicated to present exactly characteristics

such as changeability of flow routes

spatial and temporal variation of flooding. Based on cellular automata

an urban surface flooding model(USFM) is built to simulate surface hydrologic process by defining cellular's state and its evolution rules. In this model

several processes were considered

including rainfall

vegetation intercept

depression storage

runoff generation

infiltration and inlet discharging. The runoff process was handled by Manning's equations and rules

and runoff volume and flow path were calculated respectively.[Results] Because the hydrologic response units(HRU) are treated as grids

USFM can be defined as a distributed model

which can deal with the spatial variability of urban space very well based on DEM and land use data. Moreover

by combining the cell rules with mathematical formula for urban space flow uncertainty

USFM has the capacity of determining the flow routing and volume of runoff automatically. The basic input data of USFM are DEM data

land use data and gutter inlet data

which are raster data format. The USFM output data is a spatial and temporal dataset

which contains surface runoff information of any given time and space. A basin in Guangzhou Panyu District was chosen as the experimental area to test the model.[Conclusion] Through parameter calibration and model validation

the proposed approach well reflects the urban surface flooding hydrological details with a small amount of input data and simple modeling working. The USFM is useful to forecast the flooded areas in urban areas.

关键词

Keywords

references

Zhao Dongquan, Chen Jining, Wang Haozheng, et al. GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach:A case study in Macau[J]. Environmental Earth Sciences, 2009,59(2):465-472.

Choi K, Ball J E. Parameter estimation for urban runoff modelling[J]. Urban Water, 2002,4(1):31-41.

Gregory J H, Dukes M D, Jones P H, et al. Effect of urban soil compaction on infiltration rate[J]. Journal of Soil and Water Conservation, 2006,61(3):117-124.

王永,郝新宇,季旭雄,等. SWMM在山区城市排水规划中的应用[J].中国给水排水,2012(18):80-83.

Zoppou C. Review of urban storm water models[J]. Environmental Modelling & Software, 2001,16(3):195-231.

Ma Ting, Zhou Chenghu, Cai Qiangguo. Modeling of hillslope runoff and soil erosion at rainfall events using cellular automata approach[J]. Pedosphere,2009,19(6):711-718.

任伯帜.城市设计暴雨及雨水径流计算模型研究[D].重庆:重庆大学,2004.

张书亮,干嘉彦,曾巧玲,等. GIS支持下的城市雨水出水口汇水区自动划分研究[J].水利学报,2007,38(3):325-329.

周成虎,欧阳,马廷,等.地理系统模拟的CA模型理论探讨[J].地理科学进展,2009(6):833-838.

黎夏,叶嘉安.基于神经网络的元胞自动机及模拟复杂土地利用系统[J].地理研究,2005,24(1):19-27.

刘耀林,刘艳芳,明冬萍.基于灰色局势决策规则的元胞自动机城市扩展模型[J].武汉大学学报:信息科学版,2004,29(1):7-13.

Coulthard T J, Lewin J, Macklin M G. Modelling differential catchment response to environmental change[J]. Geomorphology, 2005,69(1):222-241.

Coulthard T J, Macklin M G, Kirkby M J. A cellular model of Holocene upland river basin and alluvial fan evolution[J]. Earth Surface Processes and Landforms, 2002,27(3):269-288.

D'Ambrosio D, Di Gregorio S, Gabriele S, et al. A cellular automata model for soil erosion by water[J]. Physics and Chemistry of the Earth(B):Hydrology, Oceans and Atmosphere, 2001,26(1):33-39.

王伟,李欣,陈能成,等.利用元胞自动机计算河道槽蓄量[J].武汉大学学报:信息科学版,2013(02):235-239.

汤富平,李满春,秦奋.基于CA的小流域分布式降雨径流模拟[J].水科学进展,2010(2):173-178.

Horton R E. The role of infiltration in the hydrologic cycle[J]. Transactions, American Geophysical Union, 1933,14(2):446-460.

高婷.城市道路雨水口设计分析[J].中国给水排水,2006(12):55-58.

Cirbus J, Podhoranyi M. Cellular automata for the flow simulations on the earth surface, optimization computation process[J]. Applied Mathematics & Information Sciences, 2013,7(6):2149-2158.

刘学军,龚健雅,周启鸣,等.基于DEM坡度坡向算法精度的分析研究[J].测绘学报, 2004(3):258-263.

Huang Mingbin, Li Yushan, Kang Shaozhong. Analysis of unit rainfall-runoff theory and calculation of average infiltration ratio oil slope land[J]. Journal of Soil Erosion and Soil and Water Conservation. 1999,5(1):63-68.

Temprano J, Óscar Arango, Cagiao J, et al. Stormwater quality calibration by SWMM:A case study in Northern Spain[J]. Water of South Africa, 2006, 32(1):55-63.

Rossman L A. Storm Water Management Model User's Manual, Version 5.0[M]. National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency, 2010.

Stephan J N. Urban Stormwater Modeling and Simulation[M]. US:CRC Press, 1994.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Runoff evolution characteristics and its attribution analysis of Huangshui River

Error Analysis of Distributed Hydrological Model

Soil Erosion and Sediment Yield Model in a Small Watershed Based on Cellular Automata

Investigation of Water Storage Variation in Horqin Sandy Land Based on Multi-source Data

Extraction methods and distribution characteristics of farmland bunds at different spatial scales

Related Author

He Bing

Wang Shuhong

Liang Xiaoqing

Shi Xi

Qi Wenyan

YAO Zhi-hong

WU Fa-qi

XIA Ji-de

Related Institution

School of Energy and Power Engineering， Gansu Minzu Normal University， Hezuo

School of Civil Engineering， Lanzhou Jiaotong University

College of Resources and Environment ScienceNorthwest A & F UniversityYanglingShaanxi 712100China

Institute of Soil and Water ConservationChinese Academy of Sciences and Ministry of Water ResourcesYanglingShaanxi 712100China

Department of Electronics and Information Science,Nanjing University of Posts and Telecommunications

⁰