Visualization-based decision tool for urban meteorological modeling

被引:12
|
作者
Aliaga, Daniel G. [1 ]
Vanegas, Carlo [1 ]
Lei, Ming [2 ]
Niyogi, Dev [2 ]
机构
[1] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA
[2] Purdue Univ, Dept Earth & Atmospher Sci, W Lafayette, IN 47907 USA
来源
关键词
urban visualization; urban meteorology; integrating spatial and nonspatial data; decision support system; CELLULAR-AUTOMATA; SPATIAL-ANALYSIS; GREEN ROOFS; SIMULATION; CLIMATE; WEATHER; SYSTEM; IMPACT; EVENT; AREAS;
D O I
10.1068/b38084
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present a visualization-based decision tool that enables exploring the link between urban land use and urban weather, in particular predicting and visualizing changes in urban temperature, precipitation, and humidity. Our work combines recent work from urban planning, weather and climate studies, and visualization and computer graphics. Our approach uses an interactive tool to produce quickly and automatically plausible detailed 3D city models by means of a hybrid computational simulation of urban behavior and procedural urban geometry. From the city model, urban morphology parameters are efficiently computed and used by our custom meteorological simulator which considers the influence of the urban landscape. The result is a compelling visualization ability for understanding the complex feedback between urban land use and the regional meteorology of current cities and of potential future cities with desired greening patterns. Our work includes a case-study example spanning a 1600 km(2) area.
引用
收藏
页码:271 / 288
页数:18
相关论文
共 50 条
  • [21] Visualization-Based Active Learning for Video Annotation
    Liao, Hongsen
    Chen, Li
    Song, Yibo
    Ming, Hao
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (11) : 2196 - 2205
  • [22] Interactivity Factors in Visualization-Based Exploratory Search
    Baigelenov, Ali
    Parsons, Paul
    [J]. CHI 2018: EXTENDED ABSTRACTS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2018,
  • [23] A visualization-based approach for project portfolio selection
    da Silva, Celmar Guimaraes
    Meidanis, Joao
    Moura, Arnaldo Vieira
    Souza, Maria Angelica
    Viadanna, Paulo, Jr.
    Costa Lima, Gabriel A.
    de Barros, Rafael S. V.
    [J]. NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, 2016, 444 : 835 - 844
  • [24] Visualization-based mapping of language function in the brain
    Modayur, B
    Prothero, J
    Ojemann, G
    Maravilla, K
    Brinkley, J
    [J]. NEUROIMAGE, 1997, 6 (04) : 245 - 258
  • [25] URBAN METEOROLOGICAL MODELING
    TAYLOR, PA
    [J]. TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1974, 55 (03): : 143 - 143
  • [26] Interactive visualization-based surveillance video synopsis
    Namitha, K.
    Narayanan, Athi
    Geetha, M.
    [J]. APPLIED INTELLIGENCE, 2022, 52 (04) : 3954 - 3975
  • [27] A visualization-based approach to explore geographic metadata
    Albertoni, R
    Bertone, A
    De Martino, M
    [J]. WSCG'2003 POSTER PROCEEDINGS, 2003, : 9 - 12
  • [28] Memory Visualization-Based Malware Detection Technique
    Shah, Syed Shakir Hameed
    Jamil, Norziana
    Khan, Atta Ur Rehman
    [J]. SENSORS, 2022, 22 (19)
  • [29] Visualization-based improvement of neural machine translation
    Munz, Tanja
    Vaeth, Dirk
    Kuznecov, Paul
    Ngoc Thang Vu
    Weiskopf, Daniel
    [J]. COMPUTERS & GRAPHICS-UK, 2022, 103 : 45 - 60
  • [30] An improved visualization-based approach for project portfolio selection
    da Silva, Celmar G.
    Meidanis, Joao
    Moura, Arnaldo V.
    Souza, Maria Angelica
    Viadanna, Paulo, Jr.
    de Oliveira, Marcello R.
    de Oliveira, Mauricio R.
    Jardim, Lidianne H.
    Costa Lima, Gabriel A.
    de Barros, Rafael S. V.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 73 : 685 - 696