Paper Title
Monitoring The Effects of Nonpoint Source Water Pollution on Marine Life Using Machine Learning

Abstract
Non-Point Source (NPS) pollution is a cumulative problem caused by various pollutants whose origin/source is unidentified. It contaminates the drinking water sources around the affected area. It is generally caused by run off when rainwater or melted snow which carries various pollutants with it deposits them into water bodies and ground water and is affected by urbanization and the ecological changes caused by it. Nano plastics, pesticides, fertilizers, sediments, human and animal wastes, abandoned mines, hydromodification, eroding stream banks are some other sources of NPS.The aim of the model is to analyze time series Landsat satellite images to predict the sources for water pollution and the pollutants in a water body that has occurred over many years using a systematic remote sensing monitoring method and provide information to help in water quality management and protection of the environment.