This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

WaPOR-based Water Accounting

Authors:

• Bich Tran (b.tran@un-ihe.org)
• 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/

The original code is archived as the v.0.0.2 release Required citation: IHE Delft. (2020). wateraccounting/WAPORWA: WaPOR-based Water Accounting v.0.0.2 (0.0.2). Zenodo. https://doi.org/10.5281/zenodo.3980588

The current master branch on this repository is open for modification and contribution from community under the Creative Commons Attribution Share Alike 4.0 International licence.

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