trngbich/waporwa

Rapid Water Accounting analysis using WaPOR datasets

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WaPOR-based Water Accounting

Authors:

• Bich Tran ([email protected])
• Solomon Seyoum
• Claire Michailovsky
• Bert Coerver

With contributions from:

• Marloes Mul
• Quan Pan
• Elga Salvadore
• Tim Hessels

1. About

This repository contains ipython notebooks, python scripts for the rapid Water Accounting analysis using WaPOR data in 5 river basins: Litani, Jordan, Awash, Niger, Nile. This work is done by the Water Accounting group at IHE-DELFT Institute for Water Education as a part of the WaPOR programme of The Food and Agriculture Organization of the United Nations (FAO).

http://www.fao.org/in-action/remote-sensing-for-water-productivity/overview/about-the-programme/en/

2. Installation

2.1. Python environment

• dask=2.27.*
• gdal=2.3.*
• matplotlib=3.3.*
• netcdf4=1.4.*
• notebook=6.1.1=py37_0
• numpy=1.19.*
• pandas=1.1.*
• pip=20.1.1=py37_1
• pyshp=2.1.*
• python=3.7.*
• shapely=1.6.*
• tqdm=4.49.*
• xarray=0.16.*
• geopy==2.0.*
• requests=2.24.*

Recommended steps to set up python environment in Anaconda prompt

Change to folder contain environment.yml file

>>> D:
>>> cd Github/WAPORWA

Create environment from environment.yml file

>>> conda create env

Activate environment

>>> conda activate waporwa

For more information see Wiki