Development of an Interactive Tool for Geospatial Analysis of Rainfall Data Using R, Shiny, and Leaflet

Código

I-EBHE0192

Autores

Pedro Henrique Oliveira Silva Leite, Thacio Carvalho Pereira

Tema

WG 1.10: Hydrologic Design - Solutions & Communication

Resumo

Proper handling of rainfall data is crucial for the efficient management of studies related to water resources. In this context, studies of intense rainfall often require extensive analysis of the available rain gauge stations in a region of interest, generating databases of daily precipitation heights that may present various errors and inconsistencies. Therefore, it is essential to have data analysis tools integrated with the geospatial distribution of rain gauge stations, as well as the compilation and analysis of the data and other relevant information for frequency analysis to estimate design precipitations. This work presents a tool developed in the R programming language, primarily using the shiny, leaflet, and hydrobr packages, which optimizes the analysis of rainfall data in regions of interest. Free access to climate databases made available by public agency portals, such as the Brazilian National Water Agency (ANA), has enabled the extraction of raw data in programming environments, contributing to detailed and precise analyses. The objective of this study was to develop an interactive tool that allows users to manually draw or upload areas of influence on a map and, from these areas, download and analyze data from rain gauge stations. The platform performs statistical analyses and applies data processing techniques, facilitating access and optimizing the analyses involved. The platform was developed using the Shiny package for creating the interactive interface, Leaflet for map manipulation, and hydrobr for downloading data from ANA. From the delimitation of areas of interest, data from ANA rain gauge stations are obtained, which, after proper visual structuring of the raw data, supports a more robust consistency analysis. Within the platform, it is possible to accurately check the availability of rainfall data for various monitoring stations, including statistical analyses such as annual rainfall heights, averages, maxima, as well as double mass analyses. In conclusion, the platform ensures greater accessibility and accuracy in the analysis of rainfall data, providing a useful and optimized tool for researchers and managers in the water resources sector. Additionally, future improvements may include incorporating other publicly available databases, as well as implementing additional analyses.