Impact Assessment of Water Quality on Ecosystems with Neural Networks in Python

This tutorial covers:

Generate a dataframe of chemistry with the same index as species

Create an interactive plot

Predict ecosystem variables:

  • Impact of pH on vegetation abundance
  • Impact of Conductivity on vegetation abundance
  • Impact of Dissolved Oxygen on vegetation abundance
  • Impact of Nitrates on vegetation abundance


Key Aspects

There are some key aspect to consider in the effectiveness of neural networks. Some of there are:

  • Consistent data
  • Extensive data records
  • Understanding of the governing rules of the phenomenon
  • Review of the neural network theory

While considering these aspects, you can enjoy this awesome tool for your everyday work.



Download the required data for this tutorial on this link:


For any application of neural networks on a specific field please writo to:

Saul Montoya

Saul Montoya es Ingeniero Civil graduado de la Pontificia Universidad Católica del Perú en Lima con estudios de postgrado en Manejo e Ingeniería de Recursos Hídricos (Programa WAREM) de la Universidad de Stuttgart con mención en Ingeniería de Aguas Subterráneas y Hidroinformática.

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