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MATHEMATICAL MODEL OF LINEAR FLOW REGRESSION FOR A PROTOTYPE OF ARTIFICIAL WETLAND IN TEHUITZINGO PUEBLA MEXICO

Wastewater treatment is a crucial challenge for the preservation of the environment and public health. Deep wetlands have emerged as a sustainable and effective solution to purify wastewater naturally and biologically. The application of statistics plays an essential role in the evaluation, monitoring and optimization of these treatment systems. In this work, a deep wetland prototype adopted for wastewater treatment in the municipality of Tehuitzingo, Puebla is modeled and analyzed; Statistics is applied to wastewater treatment and its importance in decision making by applying the Python programming language for its calculation.

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MATHEMATICAL MODEL OF LINEAR FLOW REGRESSION FOR A PROTOTYPE OF ARTIFICIAL WETLAND IN TEHUITZINGO PUEBLA MEXICO

  • DOI: 10.22533/at.ed.3173392323112

  • Palavras-chave: -

  • Keywords: -

  • Abstract:

    Wastewater treatment is a crucial challenge for the preservation of the environment and public health. Deep wetlands have emerged as a sustainable and effective solution to purify wastewater naturally and biologically. The application of statistics plays an essential role in the evaluation, monitoring and optimization of these treatment systems. In this work, a deep wetland prototype adopted for wastewater treatment in the municipality of Tehuitzingo, Puebla is modeled and analyzed; Statistics is applied to wastewater treatment and its importance in decision making by applying the Python programming language for its calculation.

  • ENRIQUE DE LA FUENTE MORALES
  • DAGOBERTO RUÍZ ROSAS
  • LAURA ALICIA PANIAGUA SOLAR
  • NALLELY TÉLLEZ MÉNDEZ
  • JORGE COTZOMI PALETA
  • XIMENA MONSERRAT JIMENEZ REYES
  • ERICK MICHEL MEZA MENDOZA
  • DULCE ROSARIO PEREZ HERNANDEZ
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