Visualization of Relationships between Precipitation and River Water Levels | TU Wien

Information

Publication Type: Conference Paper
Workgroup(s)/Project(s): not specified
Date: 2024
ISBN: 979-8-3503-8016-3
Publisher: IEEE
Location: Coimbra
Lecturer: Yuki Tanaka
Event: 2024 28th International Conference Information Visualisation (IV)
DOI: 10.1109/IV64223.2024.00020
Booktitle: 2024 28th International Conference Information Visualisation (IV)
Pages: 6
Conference date: 22. July 2024 – 26. July 2024
Pages: 58 – 63
Keywords: Geographic Information, Meteorological Information, River Water level, Interpolation, Precipitation, Rain, Image color analysis, Data visualization, Rivers, Space stations, Bars

Abstract

Observation of precipitation changes is important for a variety of purposes such as predicting river levels. Previous studies for data visualization of precipitation and river water levels plotted graphs and color bars were many stations on a map. Instead of such visualizations on a map, we construct a graph to imitate a connected structure such as a tributary of a river in this study. Our method displays two pseudo-coloring sparklines at nodes of the graph as the stations. The method can visualize the time difference between the increase in precipitation upstream and the increase in river water level downstream. Users can observe precipitation and river water levels at different observation points. Our method uses a Delaunay diagram connecting gauging positions to interpolate and calculate precipitation at river level observation points. This avoids the discrepancy between observation points.In addition, we adjust the amount of visualized information by skipping the display of several observation points based on the similarity of the time-series data at each station, which is calculated by applying the dynamic time-stretching method. The visualization results show that downstream, once the water level rises, it tends to take longer for the water level to drop. In addition, the results show that a time lag occurs between the increase in precipitation and the rise in river levels in the mainstream, while tributaries have little time lag. In addition, data on rainfall and river levels at the same station over multiple periods and their relationship are plotted as scatter plots. The scatter plots make it easier to compare data from multiple periods at the same time than two-tone pseudo coloring sparklines.

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BibTeX

@inproceedings{tanaka-2024-vor,
  title =      "Visualization of Relationships between Precipitation and
               River Water Levels",
  author =     "Yuki Tanaka and Angeliki Grammatikaki and Henry Ehlers and
               Renata Raidou and Eduard Gr\"{o}ller and Takayuki Itoh",
  year =       "2024",
  abstract =   "Observation of precipitation changes is important for a
               variety of purposes such as predicting river levels.
               Previous studies for data visualization of precipitation and
               river water levels plotted graphs and color bars were many
               stations on a map. Instead of such visualizations on a map,
               we construct a graph to imitate a connected structure such
               as a tributary of a river in this study. Our method displays
               two pseudo-coloring sparklines at nodes of the graph as the
               stations. The method can visualize the time difference
               between the increase in precipitation upstream and the
               increase in river water level downstream. Users can observe
               precipitation and river water levels at different
               observation points. Our method uses a Delaunay diagram
               connecting gauging positions to interpolate and calculate
               precipitation at river level observation points. This avoids
               the discrepancy between observation points.In addition, we
               adjust the amount of visualized information by skipping the
               display of several observation points based on the
               similarity of the time-series data at each station, which is
               calculated by applying the dynamic time-stretching method.
               The visualization results show that downstream, once the
               water level rises, it tends to take longer for the water
               level to drop. In addition, the results show that a time lag
               occurs between the increase in precipitation and the rise in
               river levels in the mainstream, while tributaries have
               little time lag. In addition, data on rainfall and river
               levels at the same station over multiple periods and their
               relationship are plotted as scatter plots. The scatter plots
               make it easier to compare data from multiple periods at the
               same time than two-tone pseudo coloring sparklines.",
  isbn =       "979-8-3503-8016-3",
  publisher =  "IEEE",
  location =   "Coimbra",
  event =      "2024 28th International Conference Information Visualisation
               (IV)",
  doi =        "10.1109/IV64223.2024.00020",
  booktitle =  "2024 28th International Conference Information Visualisation
               (IV)",
  pages =      "6",
  pages =      "58--63",
  keywords =   "Geographic Information, Meteorological Information, River
               Water level, Interpolation, Precipitation, Rain, Image color
               analysis, Data visualization, Rivers, Space stations, Bars",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2024/tanaka-2024-vor/",
}