Environmental Pollution Analysis and Impact Study-A Case Study for the Salton Sea in California

A natural experiment conducted on the shrinking Salton Sea, a saline lake in California, showed that each one foot drop elevation resulted 2.6% average increase PM2.5 concentrations. The has caused asthma rate continues to among children, with five children being sent emergency department, which is related asthma. In this paper, several data-driven machine learning (ML) models are developed for forecasting air quality and dust emission study, evaluate predict impacts human health due shrinkage of sea, such as Sea. paper presents an improved long short-term memory (LSTM) model hourly (O3 CO) based pollutants weather data previous 5 h. According our results, generates very good R2 score 0.924 0.835 O3 CO, respectively. addition, proposes ensemble random forest (RF) gradient boosting (GBoost) algorithms PM10 using Furthermore, shares research results prediction proposed ML satellite remote sensing data. Daily concentration maps 2018 created display regional pollution density severity. Finally, reports Artificial Intelligence (AI) findings measuring impact prevalence local residents Sea region. stacked support vector regression (SVR), elastic net (ENR), RF GBoost 0.978.