Advances in Remediation Techniques for Polluted Soils and Groundwater

Advancements in Remediation Techniques for Polluted Soils and Groundwater focuses on assessment, mitigation, and management of polluted sites, including modelling approaches, GIS, remote sensing, climate change impacts, and socio-economic impacts.

Format: Paperback / softback
Length: 406 pages
Publication date: 14 December 2021
Publisher: Elsevier Science Publishing Co Inc

The book titled "Advances in Remediation Techniques for Polluted Soils and Groundwater" delves into the crucial thematic areas of assessment, mitigation, and management of polluted sites. It serves as a comprehensive resource that encompasses the latest advancements in modelling approaches, such as Machine Learning (ML)/ Artificial Intelligence (AI) applications, GIS and remote sensing, sensors, the impacts of climate change on geogenic contaminants, and the socio-economic implications in poor rural and urban areas, which have been previously overlooked in previous titles. This book not only provides updated information but also offers insightful perspectives on future directions for researchers engaged in the field of management and remediation of polluted sites.

Introduction:
The remediation of polluted soils and groundwater is a critical environmental challenge that requires innovative and effective solutions. Advances in Remediation Techniques for Polluted Soils and Groundwater aims to provide a comprehensive overview of the latest developments in this field. By exploring various modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI) applications, GIS and remote sensing, sensors, the impacts of climate change on geogenic contaminants, and the socio-economic implications in poor rural and urban areas, this book seeks to offer valuable insights and guidance for researchers, practitioners, and policymakers involved in the management and remediation of polluted sites.

Chapter 1:
In the first chapter, the book provides an introduction to the remediation of polluted soils and groundwater, highlighting the significance of this issue and the challenges associated with it. It also provides an overview of the different modelling approaches that have been employed in the past and their limitations. The chapter discusses the importance of considering multiple factors, such as soil properties, hydrogeology, and socio-economic factors, when developing remediation strategies.

Chapter 2:
Chapter 2 focuses on the application of Machine Learning (ML)/ Artificial Intelligence (AI) in the remediation of polluted soils and groundwater. It discusses the advantages and limitations of these technologies, as well as the different types of ML/AI algorithms that can be used for remediation. The chapter also explores the potential of these technologies to improve the accuracy and efficiency of remediation processes, as well as their ability to handle large datasets and complex environmental conditions.

Chapter 3:
Chapter 3 explores the use of GIS and remote sensing in the remediation of polluted soils and groundwater. It discusses the advantages and limitations of these technologies, as well as the different types of data that can be used to support remediation efforts. The chapter also explores the potential of GIS and remote sensing to identify and monitor polluted sites, as well as to develop remediation strategies that are tailored to the specific environmental conditions of each site.

Chapter 4:
Chapter 4 focuses on the use of sensors in the remediation of polluted soils and groundwater. It discusses the advantages and limitations of these technologies, as well as the different types of sensors that can be used for remediation. The chapter also explores the potential of sensors to monitor the effectiveness of remediation efforts, as well as to identify potential sources of contamination.

Chapter 5:
Chapter 5 explores the impacts of climate change on geogenic contaminants in polluted soils and groundwater. It discusses the effects of climate change on the composition and concentration of these contaminants, as well as the potential impacts on remediation efforts. The chapter also explores the potential of climate change mitigation and adaptation strategies to improve the effectiveness of remediation processes.

Chapter 6:
Chapter 6 focuses on the socio-economic implications of remediation in poor rural and urban areas. It discusses the challenges faced by these communities in accessing clean water and sanitation, as well as the potential impacts of remediation on their health and well-being. The chapter also explores the potential of social entrepreneurship and community-based approaches to improve the accessibility and affordability of remediation services.

Conclusion:
In conclusion, Advances in Remediation Techniques for Polluted Soils and Groundwater provides a comprehensive and up-to-date overview of the latest developments in this field. By exploring the application of various modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI), GIS and remote sensing, sensors, the impacts of climate change on geogenic contaminants, and the socio-economic implications in poor rural and urban areas, this book offers valuable insights and guidance for researchers, practitioners, and policymakers involved in the management and remediation of polluted sites. The book is a valuable resource for anyone interested in improving the environmental quality of our planet and promoting sustainable development.

Weight: 872g
Dimension: 192 x 235 x 25 (mm)
ISBN-13: 9780128238301