• Login
  • Recover
logo logo
logo logo
  • Home
  • About Us
  • News
  • Energy
  • Water
  • R&I
  • Opportunities
    • Schemes
    • Careers
  • Saving Tips
    • Energy Saving Tips
    • Water Saving Tips
  • Contact Us

Water Quality Response Functions

The project will assess the application of artificial neural networks to model the water quality response function of the mean sea level aquifer systems. The model will predict the quality of the water from public water groundwater abstraction stations through a number of input and output variables. The model will be calibrated through the use of real time data collected from public abstraction stations to ensure that the input-output function developed through model is progressively improved to reflect the real response of the aquifer system. The predictive capabilities of the model can allow for the introduction of an adaptive groundwater abstraction strategy for the mean sea level aquifer to achieve a better water supply quality (lower levels of salinity) without increasing the levels of production.

Share on Facebook Share on Twitter

0 Comments

Leave a Reply Cancel

This site uses Akismet to reduce spam. Learn how your comment data is processed.

More recent stories

July 16, 2019 NAWAMED Read More
January 31, 2022 The MEDiterranean pathway for innovation CAPitalisation toward an urban-rural integrated development of non-conventional water resources Read More
June 14, 2018 CONSUME-LESS in Mediterranean Touristic Communities Read More

Contact Information:

  • A: Pinto Business Centre
    Triq il-Mithna, Ħal Qormi, Malta QRM 3104
  • T: +356 22292558
  • E: info-energywateragency@gov.mt

Privacy Policy

logo logo

Connect With Us:

Powered By NIU LTD
Skip to content
Open toolbar

Accessibility Tools

  • Increase Text
  • Decrease Text
  • Grayscale
  • High Contrast
  • Negative Contrast
  • Light Background
  • Links Underline
  • Readable Font
  • Reset