This book explores the impacts of climate change on Nigeria. How climate change impacts the productivity and future development of different sectors in Nigeria was covered in this book. Various themes of the Nigerian economy, environment, and climate change were considered. Worthy of note are the impacts of climate change on the Nigerian air quality, surface and groundwater resources, watershed and natural resources’ development and planning, soil- quality, fertility, salinization, nutrients and cropping patterns. Also, the impact of climate change on land use/land cover, urbanization and strategic planning, crops and sustainable crop yield; land degradation, soil erosion, landslides and landscapes, rainfall trend patterns, drought vulnerability; ecology, vegetation/forest, carbon and biomass management of Nigeria were investigated. Finally, the problems of climate change in semi-arid and arid regions (with special emphasis on Nigeria) and possible solutions for sustainable development under the changing climate were discussed in this book. Advanced technologies, such as remote sensing, GIS, multivariate analytical tools, and machine learning techniques, were utilized in the exploration and analysis of the themes of this book. Thus, this book is a very important product for point of view researchers, scientists, NGOs, and university communities on the Nigerian climate change. This book is a useful interdisciplinary tool, cutting across various disciplines such as earth sciences, hydrology, environmental sciences, soil science, engineering, remote sensing, natural resources management, and public health management, etc.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.