FLOWIDER 1.0: a web-based interface to track flood-season water levels of large rivers of India’s Gangetic plains

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Supplementary Files
Authors

S Ramya Roopa, Nachiket Kelkar

Abstract

Accessing and analysing flood-season water level data is crucial for monitoring riverine biodiversity and ecosystems. The Gangetic plains are among the largest river floodplains in the world. Temporal flood-season water level data for rivers of the Gangetic basin in India, though available in the public domain, are often scattered across web-based sources and recorded in non-translatable formats. We introduce ‘Flow and Water Level (FLOW) Integrated Datasets (ID) for Ecological studies of Rivers (ER)’, abbreviated as FLOWIDER 1.0, a web application developed using the R Shiny program. The app helps users track flood-season water level for 24 rivers and 107 gauging stations in one place, through a search filter by threatened species of wildlife. FLOWIDER presents a map view of gauging stations and graphing options to explore flood water-level time-series of up to two stations simultaneously. It features a searchable tool for users to access metadata linked with individual river stations.

DOI

https://doi.org/10.31223/X5NM41

Subjects

Life Sciences, Physical Sciences and Mathematics

Keywords

River flood water levels, Gangetic plains, dams and barrages, R Shiny, web application, data integration, endangered river wildlife conservation, risk and vulnerability

Dates

Published: 2024-04-08 06:40

Last Updated: 2024-04-08 13:40

License

No Creative Commons license

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
The FLOWIDER app described in our preprint has been designed to display the data associated with the manuscript. All data with which users can engage through the app, are available in the public domain already, the source links of which are provided in the preprint manuscript. The code associated with the app and all other material are freely accessible on https://github.com/WCT-Riverine-Ecology-And-Livelihoods/FLOWIDER-shiny-app/tree/main.