登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Yu, Manzhu, Yang, Chaowei, Jin, Baoxuan (2018) A framework for natural phenomena movement tracking – Using 4D dust simulation as an example. Computers & Geosciences, 121. 53-66 doi:10.1016/j.cageo.2018.10.003

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA framework for natural phenomena movement tracking – Using 4D dust simulation as an example
JournalComputers & Geosciences
AuthorsYu, ManzhuAuthor
Yang, ChaoweiAuthor
Jin, BaoxuanAuthor
Year2018 (December)Volume121
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2018.10.003Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID455702Long-form Identifiermindat:1:5:455702:3
GUID0
Full ReferenceYu, Manzhu, Yang, Chaowei, Jin, Baoxuan (2018) A framework for natural phenomena movement tracking – Using 4D dust simulation as an example. Computers & Geosciences, 121. 53-66 doi:10.1016/j.cageo.2018.10.003
Plain TextYu, Manzhu, Yang, Chaowei, Jin, Baoxuan (2018) A framework for natural phenomena movement tracking – Using 4D dust simulation as an example. Computers & Geosciences, 121. 53-66 doi:10.1016/j.cageo.2018.10.003
In(2018) Computers & Geosciences Vol. 121. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Yang, Jingchao, Yu, Manzhu, Liu, Qian, Li, Yun, Duffy, Daniel Q., Yang, Chaowei (2022) A high spatiotemporal resolution framework for urban temperature prediction using IoT data. Computers & Geosciences, 159. 104991 doi:10.1016/j.cageo.2021.104991
Yu, Manzhu (2020) A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification–An Example of Dust Events. ISPRS International Journal of Geo-Information, 9. 127pp. doi:10.3390/ijgi9020127
Yu, Manzhu, Yang, Chaowei, Li, Yun (2018) Big Data in Natural Disaster Management: A Review. Geosciences, 8 (5) 165 doi:10.3390/geosciences8050165
Huang, Qunying, Yang, Chaowei (2011) Optimizing grid computing configuration and scheduling for geospatial analysis: An example with interpolating DEM. Computers & Geosciences, 37 (2) 165-176 doi:10.1016/j.cageo.2010.05.015
Li, Jing, Wu, Huayi, Yang, Chaowei, Wong, David W., Xie, Jibo (2011) Visualizing dynamic geosciences phenomena using an octree-based view-dependent LOD strategy within virtual globes. Computers & Geosciences, 37 (9) 1295-1302 doi:10.1016/j.cageo.2011.04.003
Li, Yun, Jiang, Yongyao, Yang, Chaowei, Yu, Manzhu, Kamal, Lara, Armstrong, Edward M., Huang, Thomas, Moroni, David, McGibbney, Lewis J. (2020) Improving search ranking of geospatial data based on deep learning using user behavior data. Computers & Geosciences, 142. 104520pp. doi:10.1016/j.cageo.2020.104520
Zehner, Björn, Hellwig, Olaf, Linke, Maik, Görz, Ines, Buske, Stefan (2016) Rasterizing geological models for parallel finite difference simulation using seismic simulation as an example. Computers & Geosciences, 86. 83-91 doi:10.1016/j.cageo.2015.10.008
Hu, Fei, Yang, Chaowei, Schnase, John L., Duffy, Daniel Q., Xu, Mengchao, Bowen, Michael K., Lee, Tsengdar, Song, Weiwei (2018) ClimateSpark: An in-memory distributed computing framework for big climate data analytics. Computers & Geosciences, 115. 154-166 doi:10.1016/j.cageo.2018.03.011
Iovine, G., Sheridan, M., Di Gregorio, S. (2006) Computer simulation of natural phenomena for hazard assessment. Computers & Geosciences, 32 (7) 859-860 doi:10.1016/j.cageo.2005.12.001
Li, Jing, Jiang, Yunfeng, Yang, Chaowei, Huang, Qunying, Rice, Matt (2013) Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs) Computers & Geosciences, 59. 78-89 doi:10.1016/j.cageo.2013.04.029
Grapenthin, R. (2014) CrusDe: A plug-in based simulation framework for composable Crustal Deformation studies using Green's functions. Computers & Geosciences, 62. 168-177 doi:10.1016/j.cageo.2013.07.005
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.8 13:35:58
Go to top of page