Integrated Climate Change Impact Analysis

Abstract

The Integrated Climate Change Impact Analysis project aims to address the pressing issue of pollution-induced health hazards by employing a multifaceted approach. By monitoring and recording the concentrations of various pollutants such as sulphur dioxide, ammonia, carbon monoxide, nitrogen dioxide, nitrogen monoxide, benzene, toluene, xylene, PM10, and PM2.5, the project calculates Air Quality Index (AQI) levels to assess the environmental health risk with respect to time series observations. Mapping these pollutants to associated symptoms and subsequent diseases allows for the prediction of health outcomes, enabling proactive measures to mitigate mortality rates. Through classification techniques such as K-means clustering, the project determines the suitability of cities for habitation based on AQI levels, aiding in pollution reduction strategies. Additionally, machine learning algorithms including Random Forest and Gaussian Naive Bayes are employed to predict diseases from symptoms, facilitating early intervention strategies. Mortality rates are calculated using statistical methods, incorporating probability estimates of disease impact on affected populations. We also aim to categorise if a city is safe to survive by analysing the observed AQI levels. Overall, this project serves as a comprehensive tool to assess environmental health risks, guide urban planning decisions, and ultimately foster healthier living environments.