Open-source web-based computing libraries and applications for the advancement of hydrology research and education
Abstract
Details
- Title: Subtitle
- Open-source web-based computing libraries and applications for the advancement of hydrology research and education
- Creators
- Carlos Valentin Erazo Ramirez
- Contributors
- Ibrahim Demir (Advisor)Humberto Vergara (Committee Member)Marian Muste (Committee Member)Anton Kruger (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Civil and Environmental Engineering
- Date degree season
- Summer 2025
- DOI
- 10.25820/etd.008071
- Publisher
- University of Iowa
- Number of pages
- xv, 245 pages
- Copyright
- Copyright 2025 Carlos Valentin Erazo Ramirez
- Language
- English
- Date submitted
- 07/16/2025
- Description illustrations
- illustrations, tables, maps, graphs
- Description bibliographic
- Includes bibliographical references (pages 198-245).
- Public Abstract (ETD)
Rising floods, droughts, and water-quality concerns demand tools that let scientists, planners, and citizens turn information into clear answers quickly and without specialized tools. This research introduces a suite of free, web-based libraries and platforms that run entirely inside a web browser yet match the power and capabilities of many traditional desktop applications.
First, new code libraries make it easy to pull rainfall, river data, satellite, and climate records from dozens of public websites and feed them straight into proven water-science models that have been rebuilt to work online. Next, high-speed techniques borrowed from video-game graphics let those models run on a laptop or tablet as fast as they run on a regular or computer. A companion service even lets groups of users share huge datasets directly with one another, sidestepping slow central servers.
Finally, the project wraps these capabilities in drag-and-drop blocks and a voice-driven assistant. Users can string blocks together like puzzle pieces to map floods, estimate damages, or track drought conditions, while the voice assistant translates plain-English questions such as Show me last week s river levels in Cedar Rapids into the steps needed to fetch and chart the data. By moving heavy computation and rich data straight into the browser, these tools cut costs, shrink carbon footprints, and open advanced water science to anyone with an internet connection no coding required.
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984948539902771