A bunch of researchers from IIT Kharagpur in West Bengal has efficiently predicted the presence of arsenic in groundwater and its opposed impact on human well being in affected areas utilizing Artificial Intelligence (AI) algorithms on environmental, geological and human utilization parameters.
They additionally efficiently managed to delineate the excessive and low arsenic zones throughout the Ganges River delta utilizing AI and quantify the variety of individuals uncovered.
Madhumita Chakraborty, the lead creator of the paper, stated, “Our AI models predict the occurrence of high arsenic in groundwater across more than half of the Ganges River delta, covering more than 25% area in each of the 19 out of 25 administrative zones in West Bengal. A total of 30.3 million people are estimated to be exposed to severely high As-hazard within the Ganges River delta.”
The AI findings might be a boon within the Eastern states the place arsenic has been a priority, particularly alongside the banks of the Ganga for nearly 20 years, placing thousands and thousands of individuals at extreme well being threat.
Professor Abhijit Mukherjee of Department of Geology and Geophysics at IIT Kharagpur stated, “Researchers have been studying the distribution patterns of the contaminated groundwater for years to develop a large-scale ecological and environmental framework addressing this challenge in the region. For the first time, we have achieved this breakthrough.”
“All the information forms the baseline knowledge for the recently initiated Jal Jeevan Mission of the Central government. The mission is based on providing safe drinking water to every household by 2024,” he added. “The outcome of our research will provide information for the location of safe groundwater, which is the primary source of drinking water for most of India.”
“Eastern India and Bangladesh, which source more than 80% of their drinking water from groundwater sources, are coping with this issue of naturally-sourced arsenic mass poisoning,” he added.