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FutureWater provides access to the SPHY model, QGIS plugin, manuals, example case studies and datasets to help users install and apply the model. The SPHY package is open source, written in Python, and uses NumPy and PCRaster libraries. It runs on Microsoft Windows 7 and higher. Use the manuals to help in the installation of the source code and QGIS plugin.

SPHY Model
Download the latest version of SPHY from the GitHub repository. The model code is written in Python and integrates the PCRaster environmental modeling language.
Package dependencies:
  • Python 3.7 (64-bit) or higher
  • NumPy 1.26.4
  • PCRaster 4.2.0 (64-bit)
QGIS Plugin
The SPHY QGIS Plugin provides a graphical interface to run the SPHY model from within QGIS. It allows users to select inputs and outputs, execute simulations, and view results. The plugin also includes a preprocessor tool to prepare model input data in PCRaster format. Currently only the dataset of the Hindu Kush Himalaya is available for pre-processing inputs, but you can create a dataset yourself by recreating the database and adapting the metadata.Manuals
Manuals are available to guide users through installing, setting up, and running the SPHY model and plugin. Instructions for the case studies are also included.Case studies
Two tutorial case studies are available:
  • The Trisuli River Basin in Nepal, a snow- and glacier-fed catchment.
  • The Tuyen Quang sub-basin in Vietnam and China, part of the Red River Basin.
Each case study specifies the required SPHY version, datasets, and software in its manual.
Datasets
A sample dataset for the Hindu Kush Himalaya region is available for use with the SPHY QGIS Plugin.

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