Researchers develop AI-based system to detect arsenic pollution

Successful use of artificial intelligence in geoscience enables us to find answers

New Delhi: Researchers from IIT-Kharagpur have developed an artificial intelligence-based prediction model for detecting arsenic pollution in drinking water, an official said.

The researchers have mapped the high and low arsenic zones across the entire Gangetic delta using artificial intelligence (AI) and the number of people exposed, IIT-Kharagpur spokesperson said.

This study has been recently published in the international journal ‘Science of The Total Environment’.

“Our AI models predict the occurrence of high arsenic in groundwater across more than half of the Ganges river delta, covering more than 25 per cent area in each of the 19 out of 25 administrative zones in West Bengal,” one of the authors of the paper and research scholar Madhumita Chakraborty said.

While the predictive model framework would prove to be vital typically for the identification of drinking water sources in arsenic affected areas of West Bengal, it can also be used in other parts of the country, which are suffering from severe groundwater pollutants, the researchers said.

“Eventually, all this information forms the baseline knowledge for the recently initiated ‘Jal Jeevan Mission’ of the Government of India.

The researchers have used AI algorithms on environmental and geological and human usage parameters.

“Such successful use of artificial intelligence in geoscience enables us to find answers and build prima-facie understanding before further detailed field-based investigation or validation,”

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