Submergence Analysis Algorithm for Large Area Based on Spherical QTM

doi:10.13474/j.cnki.11-2246.2015.375

Abstract

CLC Number:

P208

XING Huaqiao, HOU Miaole, WANG Lei, JIANG Xiaoyi. Submergence Analysis Algorithm for Large Area Based on Spherical QTM[J]. 测绘通报, 2015, 0(12): 46-49,53.

[1] 李响,刘克修, 董军兴,等. 中国沿海海平面上升风险区划方法研究[J].海洋预报, 2014,31(2):41-49.
[2] 周子鑫.我国海平面上升研究进展与前瞻[J]. 海洋地质动态,2008, 24(10):14-18.
[3] 王慧,刘克修,范文静,等. 2012年中国沿海海平面上升显著成因分析[J].海洋学报, 2014,36(5):8-17.
[4] 刘仁义,刘南. 基于GIS的复杂地形洪水淹没区计算方法[J].地理学报,2001,56(1):1-6.
[5] 刘小生,陈英俊,黄玉生.基于GIS技术的洪水淹没区确定[J]. 测绘科学,2007,32(5):136-137.
[6] 王建军,吴北平,朱万里,等.基于ArcGIS的风暴潮灾害疏散系统的研究与开发[J].测绘通报,2013(9):91-94.
[7] 韩丽蓉,张涛.基于RS/GIS的大南川水库溃坝灾害模拟方法研究[J].测绘通报,2014(1):97-99.
[8] 张东华,刘荣,张咏新,等.一种基于DEM的洪水有源淹没算法的设计与实现[J].东华理工大学学报:自然科学版,2009,32(3):181-184.
[9] 丁志雄,李纪人,李琳.基于GIS格网模型的洪水淹没分析方法[J].水利学报,2004(6):56-60.
[10] 聂汉江,刘彬,何立新,等. 基于库群联合调度和DEM的区域洪水淹没范围模拟[J].水电能源科学,2014,32(5):43-46.
[11] DUTTON G. Encoding and Handling Geospatial Data with Hierarchical Triangular Meshes[C]//Proceeding of 7th International Symposium on Spatial Data Handling. Netherlands:Delft University of Technology, 1996. 34-43.
[12] SAHR K, WHITE D,KIMERLING A. Geodesic Discrete Global Grid Systems[J]. Cartography & Geographical Information Science, 2003,30(2):121-134.
[13] LEE M,SAMET H. Navigating through Triangle Meshes Implemented as Linear Quadtree[J]. ACM Transactions on Graphics, 2000,19(2):79-121.
[14] 陈军,赵仁亮.GIS空间关系的基本问题与研究进展[J]. 测绘学报,1999,28(2):96-102.
[15] 侯妙乐,邢华桥,赵学胜,等.球面四元三角网的复杂拓扑关系计算[J].武汉大学学报:信息科学版,2012,37(4):468-471.
[16] 赵学胜,侯妙乐,白建军.全球离散格网的空间数字建模[M].北京:测绘出版社,2007:40-46.

Submergence Analysis Algorithm for Large Area Based on Spherical QTM

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	GE Pengfei, LIU Hui, CHEN Mi, LI Yu, DING Ruili, LIU Fei. Monitoring land subsidence of Hebei section of Beijing-Xiong'an intercity railway by time-series InSAR [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 64-70.
[2]	Lü Zheng, SUN Qun, WEN Bowei, MA Jingzhen. A self-global-best-fit road network Stroke generation method [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 93-99.
[3]	ZHONG Qikang, WANG Zhiyi, WANG Na, XI Furui. Spatial differentiation characteristics and driving factors of landscape ecological risk in arid area of northern Shaanxi [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 100-106.
[4]	QIANG Dexia, MA Haizheng, ZHU Ziping, GOU Yanmei. Spatial distribution and analysis of debris flow in Jishishan county of Gansu province [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 107-111,117.
[5]	HAN Wenli, ZHANG Jixian, CHEN Haipeng, HUANG Haiying, ZHANG Libo, GE Juan, SHEN Jing, LU Yao. Discussion on quality inspection technology for new fundamental surveying and mapping [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 148-153.
[6]	TAO XiaoJing. Security protection technology and verification analysis of geographic information data based on TEA algorithm [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 154-157,167.
[7]	CAI Roudan. An intelligent identification method of user identity based on asynchronous trajectory [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 158-162,167.
[8]	ZHOU Ye, LIU Yunbo, ZHENG Libo, LONG Yangjun. Precision analysis of single tree parameter extraction for multi-platform point cloud data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 168-172.
[9]	HE Yuqi, ZENG Yixiao, CHEN Guang, CHEN Liangchao. Research on the early warning and simulation of land space planning in mountainous city from the perspective of new surveying and mapping [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 11-15.
[10]	LUO Guowei, YE Jiayuan, WANG Jinfeng. Multi-source POI matching method based on multi-feature similarity [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 96-100.
[11]	YAN Mingtao, QIAO Jiajun, QU Meng, ZHU Qiankun, HAN Dong. Measurement of coupling and coordination of socio-economic and ecological environment in rural villages of the Yellow River basin and analysis of influencing factors [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 101-105,116.
[12]	ZHANG Puwei, FU Liang, WANG Guohua, LU Yannan, ZHAO Haiyun. Analysis of the site selection evaluation system for rural leisure and pension projects [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 106-110.
[13]	HUANG He, MENG Weiming. Lane recognition of large radius circular curve based on vision [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 134-137.
[14]	ZHANG Dingxiang, WANG Xiulian, LIU Shunxi, ZHANG Jia, CHEN Qiang, LI Shijiang. Vector rasterization method of national land use data in the third national land survey [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 138-144.
[15]	ZENG Yuanwu, SHI Jingwen, LUO Hongming, CHENG Yingxuan. Research on construction of supervision information system for territorial spatial planning implementation involving provincial, prefectural and county levels:taking Guangdong province as an example [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 145-148.