A spatio-temporal process data model for characterizing marine disasters

被引：1
|
作者：
Jiang, B. [1 ,2 ]
Zhang, X. [3 ]
Huang, X. [4 ]
Gao, T. [1 ,2 ]
机构：
[1] SOA, Key Lab Digital Ocean Sci & Technol, Tianjin 300171, Peoples R China
[2] Nat Marine Data & Informat Serv, Tianjin 300171, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[4] Key Lab Hydrodynam Coastal Engn, CCCC, Tianjin 300222, Peoples R China
来源：
8TH INTERNATIONAL SYMPOSIUM OF THE DIGITAL EARTH (ISDE8) | 2014年 / 18卷
基金：
中国国家自然科学基金; 对外科技合作项目（国际科技项目）;
关键词：
D O I：
10.1088/1755-1315/18/1/012063
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Marine disasters are a more prevalent problem in China than in many other countries. Based on the development of a status quo of China's marine disaster the space-time process model is used. The model uses the ocean's temperature field, salinity field, water density field, surface wind field, wave field and other four-dimensional spatio-temporal quantities. This paper studies that model in detail. This study aims at using the theory to provide support during marine disasters in an effort to prevent or decrease their frequency in the future.
引用
收藏
页数：6
相关论文
共 50 条
  • [11] A Spatio-Temporal Data Model of Geographic Entities
    Gong, Qi
    Guo, Ning
    Xiong, Wei
    Chen, Luo
    Jing, Ning
    2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018), 2018,
  • [12] A Hybrid Spatio-temporal Data Model for Mines
    Xiong, Shumin
    Wang, Liguan
    Tan, Zhenghua
    Huang, Junxin
    Chen, Jianhong
    Su, Li
    Jin, Lingling
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
  • [13] A physical data model for spatio-temporal objects
    de Jong, Kor
    Karssenberg, Derek
    ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 122
  • [14] Spatio-temporal data model for 3-D spatial process simulation
    Zhang, S.S.
    Zhao, C.H.
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2001, 36 (05):
  • [15] A Spatio-Temporal Linked Data Representation for Modeling Spatio-Temporal Dialect Data
    Scholz, Johannes
    Hrastnig, Emanual
    Wandl-Vogt, Eveline
    PROCEEDINGS OF WORKSHOPS AND POSTERS AT THE 13TH INTERNATIONAL CONFERENCE ON SPATIAL INFORMATION THEORY (COSIT 2017), 2018, : 275 - 282
  • [16] A SPATIO-TEMPORAL POINT PROCESS MODEL FOR PARTICLE GROWTH
    Hossjer, Ola
    JOURNAL OF APPLIED PROBABILITY, 2019, 56 (01) : 23 - 38
  • [17] A Spatio-Temporal Point Process Model for Ambulance Demand
    Zhou, Zhengyi
    Matteson, David S.
    Woodard, Dawn B.
    Henderson, Shane G.
    Micheas, Athanasios C.
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015, 110 (509) : 6 - 15
  • [18] Characterizing CovidWaves via Spatio-Temporal Decomposition
    Quinn, Kevin
    Terzi, Evimaria
    Crovella, Mark
    PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 3783 - 3791
  • [19] CHARACTERIZING THE SPATIO-TEMPORAL DYNAMICS OF DENGUE IN BRAZIL
    Takahashi, Saki
    Rodriguez-Barraquer, Isabel
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2019, 101 : 57 - 57
  • [20] DYNAMIC VISUALIZATION OF SPATIO-TEMPORAL PROCESS MODEL BASED ON NetCDF AND OPTIMAL INTERPOLATION FOR MARINE ENVIRONMENT
    Xu Shenghua
    Wang Xianghong
    Liu Jiping
    Yang Yi
    Luo An
    Liu Mengmeng
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2020, 19 (11): : 1957 - 1967
12345