Vulnerability assessment and application of bacterial technology on urban rivers for pollution eradication

Biomed Res Int. 2015:2015:241769. doi: 10.1155/2015/241769. Epub 2015 Oct 1.

Abstract

To protect against the environmental pollution, the present research was undertaken to enumerate the Bacterial Technologies (BTs) on the restoration of polluted urban rivers, that is, Fenghu-Song Yang River (FSR) and Xuxi River (XXR). Experimental research accounted for the physiochemical parameters (pH; temperature; dissolved oxygen (DO); chemical oxygen demand (COD); total phosphorus (TP); total nitrogen (TN); and ammonia nitrogen (NH3N)) before and after the BT operation. The results declared that the BT is efficient to restore the polluted rivers up to reliable condition. These results were analyzed by using multivariate statistical techniques (principal component analysis (PCA) and cluster analysis (CA)). These techniques interpreted the complex data sets and expressed the point source information about the water quality of these rivers at SA5, SA6, and SB3 under highly polluted regions. For better understanding, water quality index (WQI) was applied to compute the single numeric value. WQI results are evidence of the above results which prove the water quality of both rivers faced under outrageous condition (below 50 WQI scores) before the BT treatment, but, after the treatment, the rivers were restored from fair to good level (above 50 WQI scores) and overall output of these scores was quite similar to detect the point source of pollution. These results described an abrupt recovery of the urban rivers up to reliable condition for aquatic organism and clear effluents from the rivers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacterial Physiological Phenomena*
  • Biodegradation, Environmental
  • Bioreactors / microbiology*
  • China
  • Cities
  • Computer Simulation
  • Models, Biological
  • Models, Statistical
  • Risk Assessment / methods
  • Urban Population / statistics & numerical data*
  • Water Pollutants, Chemical / isolation & purification*
  • Water Pollutants, Chemical / metabolism*
  • Water Purification / methods*
  • Water Purification / statistics & numerical data

Substances

  • Water Pollutants, Chemical