Book contents
- Frontmatter
- Contents
- Preface
- About the editor
- List of contributors
- 1 Introduction
- 2 The art and science of large-scale disasters
- 3 Multiscale modeling for large-scale disaster applications
- 4 Addressing the root causes of large-scale disasters
- 5 Issues in disaster relief logistics
- 6 Large-scale disasters: perspectives on medical response
- 7 Augmentation of health care capacity in large-scale disasters
- 8 Energy, climate change, and how to avoid a manmade disaster
- 9 Seawater agriculture for energy, warming, food, land, and water
- 10 Natural and anthropogenic aerosol-related hazards affecting megacities
- 11 Tsunamis: manifestation and aftermath
- 12 Intermediate-scale dynamics of the upper troposphere and stratosphere
- 13 Coupled weather–chemistry modeling
- 14 Seasonal-to-decadal prediction using climate models: successes and challenges
- 15 Climate change and related disasters
- 16 Impact of climate change on precipitation
- 17 Weather-related disasters in arid lands
- 18 The first hundred years of numerical weather prediction
- 19 Fundamental issues in numerical weather prediction
- 20 Space measurements for disaster response: the International Charter
- 21 Weather satellite measurements: their use for prediction
- Epilogue
- Index
10 - Natural and anthropogenic aerosol-related hazards affecting megacities
Published online by Cambridge University Press: 20 October 2009
- Frontmatter
- Contents
- Preface
- About the editor
- List of contributors
- 1 Introduction
- 2 The art and science of large-scale disasters
- 3 Multiscale modeling for large-scale disaster applications
- 4 Addressing the root causes of large-scale disasters
- 5 Issues in disaster relief logistics
- 6 Large-scale disasters: perspectives on medical response
- 7 Augmentation of health care capacity in large-scale disasters
- 8 Energy, climate change, and how to avoid a manmade disaster
- 9 Seawater agriculture for energy, warming, food, land, and water
- 10 Natural and anthropogenic aerosol-related hazards affecting megacities
- 11 Tsunamis: manifestation and aftermath
- 12 Intermediate-scale dynamics of the upper troposphere and stratosphere
- 13 Coupled weather–chemistry modeling
- 14 Seasonal-to-decadal prediction using climate models: successes and challenges
- 15 Climate change and related disasters
- 16 Impact of climate change on precipitation
- 17 Weather-related disasters in arid lands
- 18 The first hundred years of numerical weather prediction
- 19 Fundamental issues in numerical weather prediction
- 20 Space measurements for disaster response: the International Charter
- 21 Weather satellite measurements: their use for prediction
- Epilogue
- Index
Summary
The continuous increase of major urban centers in the world presents several challenges for their populations and the world's environment. Specifically, aerosol-related hazards such as sand and dust storms, wildfires, and urban pollution all affect megacities and are tied to the growth of cities as well. In this chapter, we examine natural and anthropogenic aerosol-related hazards affecting the world's megacities. We concentrate on three geographic areas, Egypt, China, and the Indo–Gangetic Basin, all of which contain large population centers and face acute environmental issues. We examine with specific examples the great potential of remote sensing technology to track, model, and analyze such hazards for the benefit of all concerned.
Introduction
The world's population has more than tripled in the past 70 years. Between 1830 and 1930, the world's population doubled from 1 to 2 billion people. By 1970, it had nearly doubled again, and by the year 2000, there were about 6 billion people on Earth. This rapid increase in population is sometimes called the population explosion because the exponential growth of the human population results in an explosive increase in numbers, illustrated in Figure 10.1. The continuous increase in world population is expected to reach 9 billion by the year 2050 (Figure 10.2).
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- Chapter
- Information
- Large-Scale DisastersPrediction, Control, and Mitigation, pp. 218 - 257Publisher: Cambridge University PressPrint publication year: 2008