Skip to content
A4 civilengineering
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us
Menu Close

Blog

Home » Ongoing Happenings » New project to help scientists mitigate risks of environmental pollutants
New project to help scientists mitigate risks of environmental pollutants
In addition to killing insects and weeds, pesticides can be toxic to the environment and harmful to human health. A new project led by Dong Wang, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, and Huichun Zhang, Frank H. Neff Professor of Civil Engineering at Case Western Reserve University, will help scientists mitigate the environmental and ecological risks of pollutants such as pesticides and develop remediation strategies for cleaner water, soil, and air. The researchers have received a three-year, $402,773 National Science Foundation (NSF) grant for their project, “Machine Learning Modeling for the Reactivity of Organic Contaminants in Engineered and Natural Environments.”

According to Wang, of the more than 100,000 synthetic (mostly organic) chemicals, thousands have been released into the environment to become organic chemicals. Examples include pesticides, petroleum hydrocarbons, organic solvents, flame retardants, and pharmaceutical and personal care products.

“To mitigate or assess the risks associated with these contaminants, it is important to understand their fate and transport in the environment, such as biodegradation and sorption on soils/sediments. In both cases, there is a major need for quantitative models that allow prediction of the reactivity of organic contaminants in these processes,” he said.

Existing models that are used to predict the reactivity of organic contaminants rely heavily on conventional statistics. For their project, the researchers will develop machine learning models to predict the reactivity of thousands of these contaminants in engineered and natural environments.

“Machine learning models will help environmental scientists to better model the fate and transport of pollutants and predict their degradation rate. With these new models, we can not only design better water treatment and remediation processes but also provide more accurate estimates to help contaminant risk assessment,” said Wang.

Wang’s research interests lie in the areas of human-centered AI, social sensing, big data analytics, and human cyber-physical systems. His work has been applied in a wide range of real-world applications such as misinformation detection, social network analysis, crowd-based disaster response, intelligent transportation, urban planning, and environment monitoring. He holds a PhD in computer science from the University of Illinois Urbana Champaign.

Read More
www.eurekalert.org

Read more articles

Previous PostBrainBox AI brings machine learning to building controls
Next PostPlants Buy Us Time to Slow Climate Change – But Not Enough to Stop It

You Might Also Like

Read more about the article New CO2 sensors provide innovative solutions for accurate indoor air quality

New CO2 sensors provide innovative solutions for accurate indoor air quality

January 19, 2022
Read more about the article Smart contracts: automating weather clauses

Smart contracts: automating weather clauses

February 2, 2022
Read more about the article Combating Our Global Water Crisis Using AI, with Junhong Chen (Ep. 78)

Combating Our Global Water Crisis Using AI, with Junhong Chen (Ep. 78)

October 21, 2021

Archives

  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021

Categories

  • 3D Printing
  • Air Quality
  • Architecture
  • Automation
  • BIM
  • Civil Software
  • Computer Vision
  • Constrcution Site
  • Digital Twin
  • Disaster
  • Earthquake
  • Edu Resource
  • Environmental
  • FreeCourse
  • Geotechnical Engineering
  • GIS
  • Industry News
  • Intelligent Transportation System
  • IOT
  • Market Analysis
  • Project Management
  • Remote Sensing
  • Sensors
  • Smart City
  • Smart Home
  • Smart Home/Building
  • Smart Materials
  • Structural Engineering
  • Structural Health Monitoring
  • Transportation
  • Uncategorized
  • Urban Planning

Recent Posts

  • Kontrol Technologies is in the thick of the commercial building upgrade supercycle
  • I-Bhd, China Mobile team up to build Malaysia’s first green smart building
  • FedEx launches AI-powered sorting robot to drive smart logistics
  • 8 trends shaping cities in 2022
  • DC joins growing list of cities requiring new buildings to include EV parking
A4 civilengineering
©2021 Privacy policy
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us

Enjoying the contents?

Subscribe to our weekly newsletter