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Geodata to ENVI-met Plugin icon

Plugin ID: 2732
(140) votes 

This plugin lets you export ENVI-met model areas from geodata, run microclimate simulations from QGIS and also enables you to visualize climate model results in QGIS

ENVI-met is a three-dimensional microclimate model designed to simulate the building-surface-plant-air interactions in urban environment
Typical areas of application are Architecture, Landscape Architecture, Building Design or Environmental Planing, Science and many more...

ENVI-met is a prognostic model based on the fundamental laws of fluid dynamics and thermodynamics. The model includes the simulation of:


  • Flow around and between buildings
  • Exchange processes at the ground surface and at building walls
  • Building physics
  • Impact of vegetation of the local microclimate
  • Bioclimatology
  • Pollutant dispersion

With ENVI-met, you will be able to simulate the urban microclimate as an interactive system consisting of dozens of dynamic subsystems ranging from atmospheric dynamics, over soil physics, vegetation response down to building indoor climate.


For the official documentation and tutorials, please see the website at https://envi-met.info.

Download a copy of ENVI-met at www.envi-met.com.

Author
Helge Simon
Maintainer
hsi
Tags
pythonmodellingclimateurban climateenvironmentsimulationmicroclimateenvi-metenvimetenvi_met
Plugin home page
http://www.envi-met.com
Tracker
Browse and report bugs
Code repository
https://github.com/ENVI-met/geodata2ENVI-met
Latest stable version
2.8
Plugin ID
2732
Version Experimental Min QGIS version Max QGIS version Downloads Uploaded by Date
2.8 no 3.0.0 3.99.0 268 hsi 2024-04-05T13:22:32.842088+00:00
2.7 no 3.0.0 3.99.0 250 hsi 2024-03-21T12:30:19.841686+00:00
2.6 no 3.0.0 3.99.0 846 hsi 2024-01-18T14:14:01.301376+00:00
2.5 no 3.0.0 3.99.0 259 hsi 2024-01-04T15:11:11.891496+00:00
2.4 no 3.0.0 3.99.0 266 hsi 2024-01-02T15:21:15.916023+00:00
2.3 no 3.0.0 3.99.0 239 hsi 2023-12-22T14:34:11.501704+00:00
2.2 no 3.0.0 3.99.0 582 hsi 2023-11-22T13:56:35.888137+00:00
2.1 no 3.0.0 3.99.0 387 hsi 2023-11-10T17:04:44.121658+00:00
2 no 3.0.0 3.99.0 884 hsi 2023-09-03T19:15:55.067207+00:00
1.5 no 3.0.0 3.99.0 610 hsi 2023-06-07T10:06:22.893933+00:00
1.4 no 3.0.0 3.99.0 683 hsi 2023-02-06T12:33:09.087339+00:00
1.3 no 3.0.0 3.99.0 367 hsi 2022-11-21T10:00:45.473125+00:00

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