Machine Learning Applications in Water and Energy Ecosystems

This book explores various aspects of the impact of climate change on natural ecosystems and energy systems, emphasizing the interactions between climatic parameters and other factors. It investigates the interactions among various climatic parameters and their direct and indirect impacts on natural ecosystems, human health, and socio-economic sectors in both developing and developed nations. Essential climatic parameters such as sunshine duration, rainfall, temperature, wind speed, and relative humidity are considered, as they are vital in shaping the stability and functionality of ecosystems. The book is specifically focused on the impact of climatic change on marine ecosystems, freshwater ecosystems, human health, energy systems, recent trends in management and mitigation measures of climatic impacts, and opportunities to enhance resilience against climate change impacts. It introduces modern scientific methods for environmental management through the integration of the latest machine learning applications. This book is a valuable resource for scientists and experts in NGOs and policymakers in the water and energy ecosystem fields, providing guidance on data storage and handling across both domains. Students and researchers in environmental science and engineering will also find it beneficial.