EGU23-6813
https://doi.org/10.5194/egusphere-egu23-6813
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An interactive map platform for groundwater data visualization and real-time numerical modeling

Chuen-Fa Ni1, I-Hsien Lee2, Gumilar Utamas Nugraha1, and Thai Vinh Truong Nguyen1
Chuen-Fa Ni et al.
  • 1National Central University, Graduate Institute of Applied Geology, Zhongli District, Taoyuan City, Taiwan (nichuenfa@geo.ncu.edu.tw)
  • 2National Central University, Center for environmental studies, Zhongli District, Taoyuan City, Taiwan

Accurate assessment of groundwater resources relies on sufficient measurements and efficient analysis tools. The integrated technologies and multidisciplinary knowledge of groundwater have enhanced the understanding of dynamics in groundwater systems. Taking advantage of wide developments in computer sciences and web services, the web platform provides an excellent open environment for groundwater investigations. Most groundwater-relevant web platforms are mainly focusing on data visualization. The data, such as points, polylines, polygons, and pre-analysis results (i.e., the figures) overlap a street map to indicate the locations of interest and quantify the influenced regions of groundwater hazards. Such a one-way interaction framework has significantly limited the implementations of measurement data and groundwater-relevant applications. The study aims to develop an online web-based platform for groundwater data visualization, temporal and spatial data analysis, mesh generation and flow modeling. The study integrates multiple program languages to bridge the data flow and online visualization. The interactive real-time web environment enables users to screen temporal and spatial measurements on the web map, conduct online data analyses, and develop numerical groundwater models. With a well-designed database and numerous modules for data analyses and modeling, the platform allows users to share data and develop collaborative activities. The built-in analysis tools can also improve the efficiency of groundwater management and decision-making processes.

How to cite: Ni, C.-F., Lee, I.-H., Nugraha, G. U., and Nguyen, T. V. T.: An interactive map platform for groundwater data visualization and real-time numerical modeling, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6813, https://doi.org/10.5194/egusphere-egu23-6813, 2023.