IIT Kharagpur Perfects AI-based Prediction Model to Detect Arsenic Pollution
IIT Kharagpur has developed an artificial intelligence-based prediction model for detecting arsenic pollution in drinking water.
Researchers from IIT Kharagpur have mapped high and low arsenic zones across the Gangetic delta using AI. It has also detected the number of people exposed to arsenic pollution.
The study has been published in the international journal Science of the Total Environment. One of the authors, Madhumita Chakraborty, said that the AI models predict the incidence of arsenic in groundwater across more than half of the Gangetic delta, spanning one-quarter of area in each of the19 out of 25 administrative zones in West Bengal.
The model can also be used in other parts of India where groundwater pollution is an issue.
This information forms the baseline knowledge for the Jal Jeevan Mission of the Indian government, which aims to provide safe drinking water to everyone in the country by 2024. The research by IIT Kharagpur has helped the mission move ahead in gathering information about the whereabouts of safe groundwater. Groundwater is the basic source of drinking water in the majority of the country.
The researchers have used AI algorithms on environmental and geological and human usage parameters. The successful use of AI in geoscience will allow scientists to gather valuable data and come to an on-the-surface understanding before proceeding to deeper investigations.
However, regional-scale models will not become a substitute for field investigation altogether, because groundwater contaminants, especially arsenic, are known to vary in concentration extensively.