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Hydro-Climatic Extremes in the Anthropocene

  • 2023
  • Book

About this book

This book explores how human civilization has contributed to changes in the Anthropocene, an era that marks a fundamental change in the way mankind has interacted with the Earth system. It examines the 21st century in the context of human development of water infrastructures, climate change impacts on freshwater resources, groundwater depletion, rising population, land use change, extreme events (droughts, floods, and wildfires). The implications of climate change impacts on environmental assets and the global water cycle are also highlighted. The book takes a pragmatically trans-disciplinary and holistic approach to the discussion of these issues, and the Earth system in the Anthropocene, drawing from a plethora of case studies. The capabilities of machine learning tools in satellite hydrology applications have been demonstrated as well as the feasibility of remote sensing data and innovative geospatial tools in environmental assessment. The book further showcases the multiple strengths and potential of new multi-disciplinary satellite radar programmes and geodetic missions, to measure and characterize extreme events, and their links to global climate, as well as in remote sensing of the environment. The aim is to provide innovative tools and a scientific framework that underpin our fundamental understanding of environmental systems, and the complexities of socio-hydrological systems in the Anthropocene. Policy issues have also been raised as an important aspect that can strengthen the management and administration of water resources, particularly in emerging economies where observational data is often lacking, limited, or difficult to access. It also highlights the lessons learned from freshwater hotspots (e.g., Lake Chad and Lake Urmia) where prolonged droughts and human activities have led to a permanent loss of surface water. It identifies the role of institutions and stakeholders in driving policies that underpins water management and climate change adaptation. The book articulates the novel applications of remote sensing tools as part of a monitoring framework that can alert stakeholders and the public sector to the dangers of mismanagement of freshwater in these hotspots and help facilitate water governance approaches. The book fills a critical gap in the multi-disciplinary aspect of planetary science, particularly in understanding the impacts of climate change and human actions on freshwater resources, as well as the stability of the Earth system.

Table of Contents

  1. Frontmatter

  2. The Anthropocene

    1. Frontmatter

    2. Chapter 1. Understanding the Anthropocene

      Christopher Ndehedehe
      The chapter 'Understanding the Anthropocene' delves into the concept of the Anthropocene, a new epoch defined by human-induced environmental changes. It discusses the rise in global sea levels, driven by factors such as glacier mass loss, groundwater depletion, and changes in land cover. The chapter explores the impacts of human activities on the water cycle, including the construction of dams and reservoirs, and the consequences of these changes on freshwater availability and climate. It also highlights the challenges posed by groundwater depletion, deforestation, and the increasing frequency of extreme events like droughts and floods. The text emphasizes the need for effective planetary stewardship to mitigate the deleterious impacts of the Anthropocene on both human well-being and natural ecosystems.
  3. Hydro-Climatic Extremes

    1. Frontmatter

    2. Chapter 2. Hydro-Climatic Extremes: Climate Change and Human Influence

      Christopher Ndehedehe
      The chapter delves into the historical significance of hydro-climatic extremes like droughts and floods, highlighting their devastating impacts on ancient civilizations and modern societies. It discusses the role of industrialization and urbanization in exacerbating these events, focusing on the increasing frequency and intensity of droughts and floods. The text explores the predictions of climate models under different scenarios, emphasizing the need for resilience and adaptation strategies. It also covers the socio-economic implications of these extremes, including migration, conflicts, and the impact on food security. The chapter concludes with a discussion on operational monitoring frameworks and the importance of satellite data in understanding and managing these extreme events.
  4. Water Resources

    1. Frontmatter

    2. Chapter 3. How Much Freshwater Is Available?

      Christopher Ndehedehe
      This chapter delves into the global freshwater crisis, highlighting that despite water being essential for life and ecosystems, over 2 billion people face water stress or scarcity. The limited availability of freshwater, coupled with increasing demand and climate change, poses significant threats to water security. The chapter discusses the spatial and temporal variability of freshwater resources, the impacts of climate change on water availability, and the challenges faced by regions heavily reliant on water resources. It also explores innovative management strategies and the importance of building resilience to ensure sustainable water use and mitigate the impacts of climate change. The chapter underscores the urgent need for effective water governance and management practices to address the growing water scarcity and maintain ecosystem functions.
    3. Chapter 4. Satellite Hydrology Programmes: Capabilities and Benefits

      Christopher Ndehedehe
      The chapter 'Satellite Hydrology Programmes: Capabilities and Benefits' delves into the transformative impact of satellite technology on hydrological monitoring. It begins with the historical context of space-based observations, starting with the launch of Sputnik 1 in 1957, and traces the evolution of satellite missions like TIROS, Nimbus, and ESSA-1. The chapter underscores the pivotal role of satellite hydrology-specific missions such as the Gravity Recovery and Climate Experiment (GRACE) and the Surface Water and Ocean Topography (SWOT) in quantifying terrestrial water resources. It discusses the advanced capabilities of these missions, including radar systems and geodetic techniques, which provide unprecedented insights into water cycle dynamics. The text also highlights the benefits of satellite hydrology in climate change tracking, groundwater monitoring, and surface water management. Additionally, it explores the potential of emerging technologies like the Mass change and Geosciences International Constellation (MAGIC) and the SWOT mission in advancing our understanding of freshwater resources. The chapter concludes by emphasizing the critical importance of satellite hydrology in addressing global water challenges and supporting sustainable water management practices.
    4. Chapter 5. Can the Wells Run Dry?

      Christopher Ndehedehe
      The chapter begins by defining groundwater drought as a distinct type of drought characterized by prolonged low groundwater levels due to reduced rainfall, intensive human water extraction, or both. It highlights the unique challenges posed by groundwater drought, which can be caused by either natural factors or human activities. The text explores the global status of groundwater, including the critical role it plays in sustaining freshwater-dependent ecosystems and human well-being. It discusses the impacts of groundwater overdraft, salinization, and pollution, and the need for sustainable management practices. The chapter also delves into the concept of groundwater drought as a new type of drought and how it can be measured using various indices. It emphasizes the importance of adaptation and resilience in the context of climate change and provides an overview of global groundwater recharge and discharge processes. Additionally, the text discusses the challenges and constraints in groundwater management, including the need for sustainable limits and the importance of compliance and enforcement in water policies. The chapter concludes by emphasizing the need for comprehensive and targeted measures to ensure the sustainability of groundwater resources.
  5. Environmental Sensing

    1. Frontmatter

    2. Chapter 6. Remote Sensing of the Environment

      Christopher Ndehedehe
      The chapter discusses the vital role of Earth resources satellites in environmental monitoring, particularly their use in informed decision-making for sustainable development. It highlights the increasing sophistication of new sensors and their applications in various fields, such as water resources management and disaster response. The chapter also delves into the challenges and capabilities of these satellite missions, emphasizing the potential of new technologies like NISAR in providing detailed environmental data. Additionally, it explores the integration of satellite data with other methods to improve groundwater management and disaster preparedness, making it a valuable resource for professionals in the field.
  6. Machine Learning in Hydrology

    1. Frontmatter

    2. Chapter 7. Assimilated Deep Learning to Assess Terrestrial Hydrology

      Christopher Ndehedehe
      The chapter delves into the application of deep learning techniques to assess terrestrial hydrology, focusing on the impacts of climate change on freshwater availability. It introduces the use of GRACE satellite data to monitor terrestrial water storage and highlights the importance of understanding climate teleconnections and sea surface temperature patterns in predicting hydrological changes. The chapter also discusses the methodology of statistical decomposition and back propagation neural networks used to model these complex interactions. The case study of South America is used to illustrate the practical application of these techniques, showcasing the potential of deep learning in enhancing our understanding of global water cycles and climate dynamics.
    3. Chapter 8. Deep Belief Network for Groundwater Modeling

      Christopher Ndehedehe
      The chapter delves into the application of Deep Belief Networks (DBN) for groundwater modeling, using the Great Artesian Basin as a test bed. It discusses the influence of terrestrial water storage (TWS) and climate indices such as ENSO, NAO, AMO, IOD, and PDO on groundwater level fluctuations. The study employs machine learning techniques to forecast groundwater levels up to five months in advance, showcasing the potential of DBNs in enhancing the accuracy of hydrological predictions. The chapter also covers data assimilation methods and uncertainty evaluation, providing a comprehensive approach to groundwater management and forecasting.
    4. Chapter 9. Integrated Machine Learning in Satellite Hydrology

      Christopher Ndehedehe
      The chapter delves into the application of Gravity Recovery and Climate Experiment (GRACE) satellite data for assessing freshwater status and changes in terrestrial water storage (TWS). It highlights the limitations of traditional methods, such as data gaps and errors, and introduces integrated machine learning techniques to address these challenges. The integrated approach combines convolutional neural networks and support vector machines to reconstruct TWS data, offering a promising solution for enhancing the accuracy and reliability of hydrological predictions. The chapter also discusses the implications of climate variability on TWS and the importance of comprehensive input parameters for accurate modeling. By showcasing the potential of advanced machine learning algorithms, this chapter provides valuable insights into the future of satellite hydrology and water management.
    5. Chapter 10. Regularized Neural Network for Tide Modeling

      Christopher Ndehedehe
      The chapter delves into the intricacies of tide modeling, focusing on the use of Regularized Neural Networks (RNN) to predict tide levels. It begins by introducing the concept of tides and their significance in marine and construction activities. The text then discusses the limitations of existing tide prediction methods, such as the least squares model and Support Vector Machine Regression (SVMR). The main contribution of the chapter is the evaluation of RNN's performance compared to Standard Neural Networks (SNN) and traditional techniques. The analysis is conducted using data from Lagos, Nigeria, and the results are validated through various statistical tests, including the Jarque–Bera test. The chapter highlights the potential of RNN in improving the accuracy and generalization ability of tide prediction models, making it a valuable resource for professionals seeking advanced methods in environmental forecasting.
  7. Impacts of Extreme Events

    1. Frontmatter

    2. Chapter 11. Drought Characteristics and Impacts in the Anthropocene

      Christopher Ndehedehe
      The chapter 'Drought Characteristics and Impacts in the Anthropocene' delves into the perturbations of the Earth system due to anthropogenic activities and their impact on drought characteristics. It highlights the expected increase in drought risk and the need for improved understanding of drought properties to enhance preparedness. The study combines climate models and satellite observations to predict changes in drought duration and intensity, emphasizing the implications for global hydrology and water availability. The chapter also discusses groundwater drought, anthropogenic drought, and the role of climate teleconnections in predicting drought variability. It concludes by stressing the importance of maintaining balance and justice in the Earth system to address the challenges posed by drought and climate change.
    3. Chapter 12. Floods and Wildfire Events

      Christopher Ndehedehe
      The chapter begins by introducing the intensifying impacts of climate change on floods and wildfires, with a focus on the devastating events of recent years. It discusses the humanitarian crises caused by floods, such as the 2022 floods in Nigeria, and the growing threat of wildfires, particularly in regions like the Amazon and Australia. The text then delves into the advanced techniques and systems used for assessing these extreme events, including machine learning models and satellite-based remote sensing. It highlights the importance of early warning systems and the need for improved prediction models to mitigate the impacts of these disasters. The chapter also explores the long-term changes in global fire occurrence and the impacts of wildfires on freshwater resources, providing a comprehensive overview of the challenges and potential solutions in this critical area of research.
  8. Backmatter

Title
Hydro-Climatic Extremes in the Anthropocene
Author
Christopher Ndehedehe
Copyright Year
2023
Electronic ISBN
978-3-031-37727-3
Print ISBN
978-3-031-37726-6
DOI
https://doi.org/10.1007/978-3-031-37727-3

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