|Table of Contents|

Design and Implementation of Flood Dynamic MapBased on Historical Statistics(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2021年01期
Page:
78-84
Research Field:
测绘科学与技术
Publishing date:

Info

Title:
Design and Implementation of Flood Dynamic MapBased on Historical Statistics
Author(s):
Zhong Linying12Du Yixian12Xu Jiapeng12Li Yang123Shen Jie12
(1.Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210023,China)(2.School of Geography,Nanjing Normal University,Nanjing 210023,China)(3.Yangtze River Delta Science Data Center,Nanjing 210023,China)
Keywords:
historical datathe floodstatistical datadynamic mapinfographics
PACS:
P285
DOI:
10.3969/j.issn.1672-1292.2021.01.012
Abstract:
Based on the classification and characteristic analysis of the statistical data of historical flood,the requirements of dynamic flood map on different space-time scales are discussed on the basis of the occurrence process and mechanism of flood. The design of dynamic flood map is carried out from the dynamic and relative static aspects. Finally,some indexes of 1998 flood and 1991 Taihu flood in the Middle and Lower Reaches of the Yangtze River are taken as examples to design and realize the flood dynamic map. This study vividly recreates the historical flood process and shows the regularity of flood development and disaster loss. It can be used as a reference for the mining and application of historical flood statistics,and it also serves as a warning for preventing the occurrence of flood disasters.

References:

[1] 张琨佳,刘璐,苏筠. 中国清代历史水灾时空特征研究[J]. 自然灾害学报,2015,24(4):104-110.
[2]秦年秀,姜彤. 基于GIS的长江中下游地区洪灾风险分区及评价[J]. 自然灾害学报,2005,14(5):5-11.
[3]郭仁忠. 空间分析[M]. 武汉:武汉测绘科技大学出版社,1997.
[4]黄荣辉,徐予红,王鹏飞,等. 1998年夏长江流域特大洪涝特征及其成因探讨[J]. 气候与环境研究,1998,3(4):300-313.
[5]王哲. 历史空间数据可视化与经济史研究——以近代中国粮食市场为例[J]. 中国经济史研究,2017,32(5):28-44,57.
[6]丁勇. 河流洪水风险分析及省级洪水风险图研究[D]. 大连:大连理工大学,2010.
[7]曹东,金东春. 洪水风险图及其作用[J]. 东北水利水电,1998,16(8):11-13.
[8]徐美,刘舒. 洪水风险图制图方法与系统[J]. 中国防汛抗旱,2015,25(4):8-13.
[9]章旭. 基于SWMM模型的城市内涝模拟与可视化方法研究[D]. 南京:南京师范大学,2019.
[10]POOLE G C,STANFORD J A,FRISSELL C A,et al. Three-dimensional mapping-plain hydrology and connectivity from aerial photos[J]. Geomorphology,2002,48(4):329-347.
[11]黄志军,王树文. 基于水文仿真模型与GIS的三维可视化在城市洪水演进中的模拟研究——以马鞍山为例[J]. 测绘科学,2010,35(1):88-90,176.
[12]胡亚,朱军,李维炼,等. 移动VR洪水灾害场景构建优化与交互方法[J]. 测绘学报,2018,47(8):101-110.
[13]赖瑞勋,王敏,杨明,等. 二维洪水模型时间序列数据的网络可视化[J]. 地理空间信息,2018,16(12):1056-1059.
[14]周平,唐新明,张过. 多时相统计数据空间动态可视化模型研究[J]. 武汉大学学报(信息科学版),2012,37(9):1130-1133.
[15]郭跃. 自然灾害社会易损性及其影响因素研究[J]. 灾害学,2010,25(1):84-88.
[16]谷洪波,顾剑. 我国重大洪涝灾害的特征、分布及形成机理研究[J]. 山西农业大学学报(社会科学版). 2012,11(11):1164-1169.
[17]王家祁,骆承政. 中国暴雨和洪水特性的研究[J]. 水文,2006,35(3):33-36.
[18]杜国志,李开杰. 洪水风险图有关问题探析[J]. 中国水利,2006,41(5):34-36.
[19]杨达源,闾国年. 自然灾害学[M]. 北京:测绘出版社,1993.
[20]艾靖播. 专题数据空间可视化方法在地图服务中的应用[J]. 测绘与空间地理信息,2013,36(9):106-107,113.
[21]杨璇. 形成信息可视化动态视觉表征认知负荷的因素和消减手段[J]. 装饰,2017,41(5):114-117.
[22]艾廷华. 动态符号与动态地图[J]. 武汉测绘科技大学学报,1998,23(1):47-51.

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Last Update: 2021-03-15