Skip to main content

A Python library for the assessment of spatially distributed groundwater recharge and hydrological components with HELP.

Project description

PyHELP is an object oriented Python library providing a set of tools to estimate spatially distributed groundwater recharge and other hydrological components (runoff and evapotranspiration) using the HELP (Hydrologic Evaluation of Landfill Performance) model.PyHELP integrates weather data (from grids or stations), land conditions defined by a series of GIS maps as well as soil and geological material properties into HELP input files. PyHELP also processes HELP simulation results and outputs them as maps and graphs, including comparisons of simulation results with stream hydrographs. PyHELP thus accompanies users through the entire workflow from input file assembly to model calibration and to the documentation of results. This workflow is based on the method originally developed by Croteau et al. (2011) to assess spatially distributed groundwater recharge at the regional scale.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyhelp-0.1.2.tar.gz (81.2 kB view details)

Uploaded Source

Built Distributions

pyhelp-0.1.2-cp37-cp37m-win_amd64.whl (587.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

pyhelp-0.1.2-cp36-cp36m-win_amd64.whl (587.2 kB view details)

Uploaded CPython 3.6m Windows x86-64

File details

Details for the file pyhelp-0.1.2.tar.gz.

File metadata

  • Download URL: pyhelp-0.1.2.tar.gz
  • Upload date:
  • Size: 81.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7

File hashes

Hashes for pyhelp-0.1.2.tar.gz
Algorithm Hash digest
SHA256 10976c778597fb14ad69f2c544e122fb1f341cee0722d149f8593bd3695c1bb5
MD5 76000bd5dfe1a74fc9378a77546f2821
BLAKE2b-256 2fa068272d9be53b0fc0f82716f2b26f1a2df8382b108899d7f3256ba7af2add

See more details on using hashes here.

File details

Details for the file pyhelp-0.1.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pyhelp-0.1.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 587.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7

File hashes

Hashes for pyhelp-0.1.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a1a3a65435bd46112d150f4c912da951f1ca14e2009d61452540b69057461d88
MD5 ef02bf616249fe424eae09f18c77b417
BLAKE2b-256 5d5f61cc558f7a43b8771c83cb9b07ff63da6aba2d510c46fad3fdcb10c3dfa0

See more details on using hashes here.

File details

Details for the file pyhelp-0.1.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pyhelp-0.1.2-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 587.2 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7

File hashes

Hashes for pyhelp-0.1.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 8f05631764f3a5e29d0e8c98c1aa95a3dde278adaff182ce55743dd7cc9cfc6d
MD5 3917a1d1b18b3d3d58e8df70caad604c
BLAKE2b-256 19888755bc56108bb00b82baafe70b0067d75d1051c390f3d26caceeae84ee07

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page