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A better understanding of air pollution and smoke interactions is needed in order to protect the public health. This book offers such an understanding and examines wide-scale monitoring efforts, and development of models predicting spatial and temporal distribution of air pollution and smoke resulting from forests fires and other sources.
Presents a snapshot of the state of knowledge of air pollution effects at the beginning of the 21st century. This book discusses how leaves, trees, and forests respond to air pollutants and climate change. It describes scenarios of global change and air pollution.
Reviews the characterization of air quality as it pertains to emission sources and their environmental effect. This book offers the needed concepts and methods in conducting the studies to establish cause and effect relationships under ambient conditions, which is valuable to industrialized nations, and to the policy makers in developing nations.
Intends to increase an understanding of the state and potential of forest ecosystems to mitigate and adapt to climate change in a polluted environment. This book reconciles process-oriented research, long-term monitoring and applied modeling through comprehensive forest ecosystem research.
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and critical data analysis measures for managing extreme climate events. Extreme climate events-primarily floods and droughts-have had major consequences in terms of loss of life and property around the world. Managing extreme occurrences, reducing their effects, and establishing adaptation strategies requires significant policy and planning improvements. This practical guide explores the latest research literature, recent advanced modeling approaches, and fundamental ideas and concepts to provide a variety of solutions for managing extreme events.
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