APPLICABILITY OF HEC-DSSVue FOR MANAGEMENT OF HYDROLOGICAL GAGING NETWORK: A CASE STUDY USING SUB-HOURLY RAINFALL DATASETS FROM SOUTHERN BRAZIL

ABSTRACT Hydrological data are typically sequential and often correspond to large datasets, and not all application programs allow their retrieval, storage, and manipulation. This technical article aims to contribute to this subject by reporting the applicability of the Data Storage System of the Hydrologic Engineering Center (HEC-DSSVue) using 5-min rainfall datasets collected from 10 self-recording rain gages (2014–2023) installed in Southern Brazil. Although the HEC-DSSVue is commonly used to integrate databases into other HEC models (HEC-HMS and HEC-RAS), its application in managing hydrological gaging networks remains undocumented. Our methodology comprised six steps conducted within the HEC-DSSVue: i) acquiring all files generated from each hydrological campaign, ii) addressing irregular-interval time series, iii) evaluating file management functionalities, iv) identifying data visualization functionalities, v) assessing mathematical operations, and vi) examining edition and export functions. The main conclusion was that the HEC-DSSVue is a powerful tool for efficiently managing datasets from hydrological gage networks and supporting data manipulation, thereby making routine tasks more efficient and less susceptible to user-introduced errors.

Authors

Institutions

Publication Details

Journal
Engenharia Agrícola
Published
2025-01-01
DOI
https://doi.org/10.1590/1809-4430-eng.agric.v45e20240143/2025
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APPLICABILITY OF HEC-DSSVue FOR MANAGEMENT OF HYDROLOGICAL GAGING NETWORK: A CASE STUDY USING SUB-HOURLY RAINFALL DATASETS FROM SOUTHERN BRAZIL

Maria Eduarda Silva da Silva, Tamara Leitzke Caldeira Beskow, Samuel Beskow, Aryane Araújo Rodrigues
Engenharia Agrícola
Flood Risk Assessment and Management
article

APPLICABILITY OF HEC-DSSVue FOR MANAGEMENT OF HYDROLOGICAL GAGING NETWORK: A CASE STUDY USING SUB-HOURLY RAINFALL DATASETS FROM SOUTHERN BRAZIL

Maria Eduarda Silva da Silva, Tamara Leitzke Caldeira Beskow, Samuel Beskow, Aryane Araújo Rodrigues
article en

Abstract

ABSTRACT Hydrological data are typically sequential and often correspond to large datasets, and not all application programs allow their retrieval, storage, and manipulation. This technical article aims to contribute to this subject by reporting the applicability of the Data Storage System of the Hydrologic Engineering Center (HEC-DSSVue) using 5-min rainfall datasets collected from 10 self-recording rain gages (2014–2023) installed in Southern Brazil. Although the HEC-DSSVue is commonly used to integrate databases into other HEC models (HEC-HMS and HEC-RAS), its application in managing hydrological gaging networks remains undocumented. Our methodology comprised six steps conducted within the HEC-DSSVue: i) acquiring all files generated from each hydrological campaign, ii) addressing irregular-interval time series, iii) evaluating file management functionalities, iv) identifying data visualization functionalities, v) assessing mathematical operations, and vi) examining edition and export functions. The main conclusion was that the HEC-DSSVue is a powerful tool for efficiently managing datasets from hydrological gage networks and supporting data manipulation, thereby making routine tasks more efficient and less susceptible to user-introduced errors.

Engenharia AgrícolaVol. 45
Universidade Federal de Pelotas (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Openalex Percentile: Top 92%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

APPLICABILITY OF HEC-DSSVue FOR MANAGEMENT OF HYDROLOGICAL GAGING NETWORK: A CASE STUDY USING SUB-HOURLY RAINFALL DATASETS FROM SOUTHERN BRAZIL — Maria Eduarda Silva da Silva, Tamara Leitzke Caldeira Beskow, et al. · Engenharia Agrícola (2025) | TGRS Research Map | TGRS