Skip to main content

Python module for estimating thermodynamic properties of water in freshwater lakes.

Project description

Compute thermodynamic properties of lake water

travis-ci build status

The freshwater toolbox is a python package for estimating thermodynamic properties of water in freshwater bodies. Given temperature, salinity, and pressure, the freshwater toolbox enables the user to estimate the density, thermal expansion coefficient, specific heat capacity, speed of sound, temperature of maximum density, and freezing point of a parcel of lake water. The equation of state described in Chen and Millero (1986) [1] is implemented, which is suited for lake waters over the range of temperature, salinity, and pressure of 0–30 °C, 0–0.6 g/kg, and 0–180 bar, respectively.

Installation

The easiest way to install the freshwater toolbox is using pip:

pip install freshwater

You can also clone the source code from the github repository and install it with the following commands:

git clone https://github.com/danielrobb/freshwater
cd freshwater/
pip install .

Quick Start

Say you have a sample of lake water with temperature 10 °C, salinity 0.5 g/kg, and pressure 0 bar, and you would like to compute its density 𝜌 and thermal expansion coefficient 𝛼. This can be done with the following commands.

First, import the equation of state (Eos) class:

>>> from freshwater.eos import Eos

Second, Eos takes arguments of temperature, salinity and pressure:

>>> e = Eos(t=10, s=0.5, p=0)
>>> e.rho
1000.091963
>>> e.alpha
8.94332e-05

Please consult the online documentation for more details.

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

freshwater-0.1.4.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

freshwater-0.1.4-py3-none-any.whl (5.9 kB view details)

Uploaded Python 3

File details

Details for the file freshwater-0.1.4.tar.gz.

File metadata

  • Download URL: freshwater-0.1.4.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.10 CPython/3.8.5 Darwin/19.6.0

File hashes

Hashes for freshwater-0.1.4.tar.gz
Algorithm Hash digest
SHA256 3baab30510e8283d2473f6d3073429ce6977b2b3b5a4e3948151bb52add3bf93
MD5 f67b592464fbaa615c8a4ef6a0534d65
BLAKE2b-256 b952c8268ba222024b51786602fd275a85153f205a2faf6a678744d715d79feb

See more details on using hashes here.

File details

Details for the file freshwater-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: freshwater-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 5.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.10 CPython/3.8.5 Darwin/19.6.0

File hashes

Hashes for freshwater-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 53582a4e90e1a40c7295c626cbcee03fbf24e46f7d698df20509dc24d14b37ec
MD5 78805c4c9a44444883dfb78ae872c843
BLAKE2b-256 b8e4d3c64756b24fc5d146faf1a37351a778523f2d94a30712551d5e569875ff

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