|Table of Contents|

Research on Hierarchical Partition of Urban CatchmentArea Based on Multiple Factors(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2020年03期
Page:
71-77
Research Field:
·地理学·
Publishing date:

Info

Title:
Research on Hierarchical Partition of Urban CatchmentArea Based on Multiple Factors
Author(s):
Zhu Zhizhou1Zhang Shuliang12Wang Yimei1Yang Qiqi1Dai Qiang12
(1.Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
Keywords:
urban rainfall and flood simulationmultiple factorcatchment areahierarchical partitionLiandu District of Lishui City
PACS:
P208
DOI:
10.3969/j.issn.1001-4616.2020.03.012
Abstract:
In order to effectively improve the modeling quality of urban stormwater models,the urban land surface watershed hierarchical partition method that took into account multiple factors has been proposed in this paper which was based on traditional hydrological analysis methods and the spatial cognition concept of multi-level catchment area was combined. The method incorporated different levels of elements such as terrain,rivers,buildings,roads,and artificial drainage facilities,and the urban land surface was divided into three levels according to the principle of large to small as well as step-by-step refinement. The rain flood model was experimentally carried out in Liandu District of Lishui City,China. The verification results showed that the simulation results obtained by the hierarchical partition method in the SWMM model and the MOUSE model were more accurate than the Thiessen polygon method. After field comparison,it was found that the method results were consistent with the actual real water situation basically in the field. The method has been proved to be applicable to the more complicated urban catchment division,and it could provide reference for urban flood control and disaster reduction research,as well as guide disaster recovery work to a certain extent.

References:

[1] 徐慧珺. 基于SWMM模型的南京典型区雨洪模拟研究[D]. 南京:南京师范大学,2017.
[2]PARK S Y,LEE K W,PARK I H,et al. Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation[J]. Desalination,2008,226(1):328-337.
[3]宫永伟,梁晓莹,戚海军,等. 汇水区离散程度对雨水径流模拟结果的影响分析[J]. 中国给水排水,2016,32(15):130-135.
[4]赖正清. 平原河网区水文特征骨架数据模型与分布式空间离散化研究[D]. 南京:南京师范大学,2013.
[5]张书亮,孙玉婷,曾巧玲,等. 城市雨水流域汇水区自动划分[J]. 辽宁工程技术大学学报(自然科学版),2007,26(4):630-632.
[6]JOHN N C,KIMBERLY P V N,GUY S B. How does modifying a DEM to reflect known hydrology affect subsequent terrain analysis?[J]. Journal of hydrology,2007,332(1/2):30-39.
[7]AUGUSTO C V G,MARIE P B,OTTO C R F,et al. Improving hydrological information acquisition from DEM processing in flood plains[J]. Hydrological processes,2009,23(3):502-514.
[8]ZHAO D,CHEN J,WANG H,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.
[9]谢家强,廖振良,顾献勇. 基于MIKE URBAN的中心城区内涝预测与评估:以上海市霍山-惠民系统为例[J]. 能源环境保护,2016,30(5):44-49.
[10]李文科,杨淑芳. 城市雨水排放系统的数值模拟技术及其应用[J]. 城市道桥与防洪,2012(7):195-198.
[11]DUKE G D,KIENZLE S W,DAN L J,et al. Improving overland flow routing by incorporating ancillary road data into digital elevation models[J]. Journal of spatial hydrology,2003,3(2):1-21.
[12]DUKE G D,KIENZLE S W,JOHNSON D L,et al. Incorporating ancillary data to refine anthropogenically modified overland flow paths[J]. Hydrological processes,2006,20(8):1827-1843.
[13]左俊杰,蔡永立. 平原河网地区汇水区的划分方法:以上海市为例[J]. 水科学进展,2011,22(3):337-343.
[14]薛丰昌,盛洁如,钱洪亮. 面向城市平原地区暴雨积涝汇水区分级划分的方法研究[J]. 地球信息科学学报,2015,17(4):462-468.
[15]CALLAGHAN J F,MARK D M. The extraction of drainage networks from digital elevation data[J]. Computer vision graphics and image processing,1984,28(3):289-334.
[16]田晶,何青松,颜芬. 道路网stroke生成问题的形式化表达与新算法[J]. 武汉大学学报(信息科学版),2014,39(5):556-560.
[17]YANG Q,DAI Q,HAN D,et al. lmpact of the storm sewer network complexity on flood simulations according to the stroke scaling method[J]. Water,2018,10(5):645.
[18]ROSA D J,CLAUSEN J C,DIETZ M E. Calibration and verification of SWMM for low impact development[J]. Jawra journal of the American water resources association,2015,51(3):746-757.
[19]SUN N,HALL M,HONG B,et al. Impact of SWMM catchment discretization:case study in Syracuse,New York[J]. Journal of hydrologic engineering,2014,19(1):223-234.

Memo

Memo:
-
Last Update: 2020-09-15