ECOtecnologias (@ecotecnologias)
  • Stars
    star
    16
  • Global Org. Rank 130,018 (Top 42 %)
  • Followers 8
  • Following 4
  • Registered about 9 years ago
  • Most used languages
    Python
    71.4 %
    Visual Basic .NET
    14.3 %
    R
    14.3 %
  • Location 🇧🇷 Brazil
  • Country Total Rank 20,177
  • Country Ranking
    Visual Basic .NET
    6
    R
    539
    Python
    3,782

Top repositories

1

ReSWMM

This software is able to read and edit the SWMM input file, recommend the time step based on EXTRAN recomendation and Vasconcelos et al. (2018), and create artificial spatial discretization by placing dummy nodes between actual nodes. Furthermore, the software analyses the input file to verify if discretization is required. This analysis is also based on the EXTRAN recommendation that the longest conduit in the system does not exceed four or five times the length of the shortest conduit. Three types of discretization are available: Regular Discretization -> Places regular dummy nodes between actual nodes. Fixed Interval Discretization -> Limits the maximum and minimum space between dummy nodes by a maximum and minimum threshold. DxD Based Discretization -> Divides the Max Depth of each conduit by a constant and the value obtained is the number of dummy nodes.
Visual Basic .NET
7
star
2

Brasil-IDF

This plugin allows to get the I-D-F and P-D-F curve, the precipitation for a specific duration, and the design rain through alternating block method to any region in Brazil.
Python
2
star
3

ECO-Downloader3.0

This tool facilitates the acquisition of data available at MSWEP (Beck et al. 2017). The plugin was developed by the Research Group on Hydro Environmental Modeling and Ecotechnologies at Universidade Federal de Santa Maria in order to give a spatial visualization and automate the download process facilitating the hydrologic studies.
Python
2
star
4

INMET_Downloader

This software facilitates the download of hydrological data available at the website INMET. The website is administrated by the Brazilian government. The software was developed by the Research Group and Hydro Environmental Modeling and Ecotecnologies at the University Federal of Santa Maria.
R
2
star
5

MHE

Modelo Hidrológico de Ecotecnologias
Python
1
star
6

ECO-RUNOFF

QGIS Plu-gin para realizar simulações chuva-vazão pelo método SCS.
Python
1
star
7

Hydrolib

Open source library for the estimative of hydrological functionsallowing a collaborative environment for the development of hydrological models and their interaction with GIS tools.
Python
1
star