Modeling Land Use and Land Cover Changes and Its Atmospheric Pollutant Concentration in the Coal Mining Area of Ramgarh District of Jharkhand, India, Using Multi‐Layer Perceptron Neural Networks (MLPNN)

• DOI: 10.1002/tqem.22351
• Publication Date: 2024-11-13T12:14:30Z
• Authors: Shazada Ahmad; Navneet Kaur; Mahammad Shahbaz ...; Adnan Shakeel; Farid Ahmed
• Keywords: Land Cover; Perceptron

ABSTRACT Land use refers to anthropogenic phenomena in the natural environment; humans utilize land resources for their developmental activities. On other hand, ecosystems of and cover alter world—the artificial infrastructure leads toward a busted concrete jungle instead green footprint. The global footprint is continually shrinking owing overutilization resources. present research examines pattern that changes from 1990 2021 projected projections 2041 2061 Ramgarh District. study also focuses on how modifications concentration level pollutants atmosphere. Landsat data utilized 1990, 2000, 2011, were incorporated into LULC map using supervised classification analysis future predictions an ANN‐based MLPNNs (multi‐layer perceptron neural networks) It trend patterns atmospheric NASA‐GIOVANNI MERRA‐2. current reveals water bodies, coal mining, vegetation, built‐up, agriculture, barren 3.01%, 2.24%, 54.07%, 3.64%, 36.85%, 0.18 %. However, 2021, bodies decreased 1.61%, vegetation 45.47%, 0.65%, increasing tendency was observed built‐up areas 6.65%, mining 2.43%, farmland 43.19%. A significant pollutants, such as CO 2 , SO 4 NO dust, district. importance this attain maximum environmental sustainability; it would encourage local planning fitted during extraction