The development of a wastewater quality index (WWQI) is essential to address environmental concerns, comply with regulations, protect public health, support resource management objectives, and optimize economic considerations. Such a study can provide valuable insights for decision-makers, policymakers, and stakeholders involved in wastewater management, and contribute to more effective and sustainable wastewater disposal methods. This project presents the development of an index that represents the degree of pollution or contamination in the wastewater. The wastewater quality index (WWQI) is developed using weighted arithmetic function by considering the relevant criteria pollutants based on standards and assigning weightage to these parameters. An artificial neural network (ANN) model is developed to predict WWQI values and a WWQI predictor web page is created.

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Evaluation of Wastewater Quality Index (WWQI) for Domestic Sewage Disposal in Mandovi River, Goa

  • Shaivi Chanekar,
  • Sameer Mahato,
  • Devendra Patidar,
  • Bright Singh Seeni,
  • Yogeshwar Boddu

摘要

The development of a wastewater quality index (WWQI) is essential to address environmental concerns, comply with regulations, protect public health, support resource management objectives, and optimize economic considerations. Such a study can provide valuable insights for decision-makers, policymakers, and stakeholders involved in wastewater management, and contribute to more effective and sustainable wastewater disposal methods. This project presents the development of an index that represents the degree of pollution or contamination in the wastewater. The wastewater quality index (WWQI) is developed using weighted arithmetic function by considering the relevant criteria pollutants based on standards and assigning weightage to these parameters. An artificial neural network (ANN) model is developed to predict WWQI values and a WWQI predictor web page is created.