Technology Inceptions: Powerful Robots Helps in Faster Detection of Bridge Defects  |  Teacher Insights: Are you susceptible to persuasion?   |  Science Innovations: Mushrooms to help fight TB  |  Management lessons: How to Create Cool Brands and Stay Cool  |  Health Monitor: Honey Helps Increase Testosterone Levels in Males  |  Parent Interventions: Women Oncologists Skip Scientific Conference to Take Care of Children  |  Career News: Chinmaya University-CPPR Announce MA in Public Policy and Governance Course  |  Parent Interventions: Electrical zap to retrieve memory  |  Science Innovations: Laura Kreidberg: Trying to Spot the First Sign of Life Outside Earth  |  Parent Interventions: Don't Let Children Drink Too Much Juice, Sugar Water With Little Nutrients  |  Technology Inceptions: Low-Cost Tissue Freezing Device to Help In Breast Cancer Treatment  |  Science Innovations: Exomoons May Become Quasi-planets  |  Science Innovations: Blue Tongue Lizard Babies As Clever as Adults  |  Parent Interventions: Quality Sleep for Teen Health   |  Technology Inceptions: MIT Develops Artificial 'Muscles' Based on Fibers  |  
  • Pallikkutam Magazine
  • Companion Magazine
  • Mentor
  • Smart Board
  • Pallikkutam Publications

August 20, 2018 Monday 05:14:41 PM IST

Novel method to track contamination of water

Science Innovations

Scientists from Berkeley Lab, USA have developed a new method to track the contamination levels of ground water in a continuous manner at a low cost. As per the study published in the journal, Environmental Science & Technology, the team has developed a method for real-time monitoring of pollutants using commonly available sensors.This method could be especially useful during an unexpected event such as a storm and related flooding.

"Analysis of the autonomous in situ data can be rapidly analyzed remotely using machine learning methods," said Haruko Wainwright, a Berkeley Lab researcher who led the study. "It can act as an early warning system - we can detect sudden changes in contaminant levels. These changes may indicate a need for more or less intervention in terms of the remediation strategy, ideally leading to an improved as well as more cost-effective cleanup."

The new approach employs sensors to track water quality parameters such as levels of tritium and uranium-238 in the groundwater, the acidity (or pH) levels and specific conductance (a measure of electrical conductance). The data from the multiple sensors were then fed into a Kalman filter to estimate contaminant concentrations.

(A Kalman filter is not a physical filter but rather a mathematical algorithm that can integrate mixed time-series data to make estimates. It is commonly used in various fields, such as traffic prediction and remote sensing.)


This methodology can be used for both surface and underground water and can potentially be used to track other metals, radionuclides, and organic compounds commonly found in groundwater, such as arsenic, chromium, and fuels.

Comments