Climate Change Adaptation, Resilience and Hazards
This book analyses the links between climate change adaptation, resilience and the impacts of hazards. The contributors cover topics such as climate change adaptation in coastal zones, the evaluation of community land models, climate change considerations in public health and water resource management, as well as conceptual frameworks for understanding vulnerabilities to extreme climate events. The book focuses on a variety of concrete projects, initiatives and strategies currently being implemented across the world. It also presents case studies, trends, data and projects that illustrate how cities, communities and regions have been striving…
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Produktdetails
Weitere Autoren: Leal Filho, Walter (Hrsg.) / Musa, Haruna (Hrsg.) / O'Hare, Paul (Hrsg.) / Seixas, Julia (Hrsg.)
- ISBN: 978-3-319-39879-2
- EAN: 9783319398792
- Produktnummer: 19929058
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 468 S.
- Masse: H24.1 cm x B16.1 cm x D3.2 cm 860 g
- Auflage: 1st ed. 2016
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 860
Über den Autor
Walter Leal is a Professor of Environment and Technology at MMU and at Hamburg University of Applied Sciences, in Germany. Prof Leal directs the International Climate Change Information Programme (ICCIP) which is a leading programme on climate change education, information and communication. His research interests are on sustainable development, climate change and renewable energy.Haruna Moda Musa is a lecturer in Environmental Health Science at Manchester Metropolitan University, Manchester, United Kingdom. Haruna pursued a PhD research degree at the Centre for Research in Indoor Climate and Health (RICH) at Glasgow Caledonian University, Glasgow. And later took up a post-doctoral research position at the Mackintosh Environmental Architecture Research Unit (MEARU), at Glasgow School of Art. Haruna research interest is around a number of environment and public health topics including, indoor air quality assessment, environmental management and climate change adaption. He is actively engaged in research, consultancy and knowledge transfer projects in the UK and West Africa.Gina Cavan is Senior Lecturer in GIS and Climate in the School of Science and the Environment at Manchester Metropolitan University and Honorary Research Fellow in Geography, School of Environment and Development at The University of Manchester. Gina has a background in geography and applied climatology, and has over 10 years' experience investigating climate change impacts and adaptation. Her research focuses specifically on the application of Geographical Information Science to assess urban ecosystem services, climate change risk, vulnerability and adaptation across the UK, Europe and Africa. Paul O'Hare is a Lecturer in Geography and Development at Manchester Metropolitan University. He has significant experience of research into urban resilience, public engagement in governance, and in the use of adaptive technologies for risk management. His previous research has been funded by the European Union, RCUK (Re-Design), the ESRC and Government departments. His work on the EUFP7 SMARTesT project (led by the Building Research Establishment) examined social, cultural and administrative issues surrounding the use of property level protection for flood risk management.Julia Seixas is a Professor at Faculty of Science and Technology at New University of Lisbon, and a member of the scientific committee of PhD programme on Climate Change and Sustainable Development Policies. She holds a PhD in Environmental Engineering and lectured for over 25 years at the Environmental Science and Engineering Department in the areas of environmental remote sensing and of energy and climate change. She coordinates a research group on Energy and Climate devoted to pursuing research on future energy systems under climate change constraints, mostly through technological based energy-environment-economy modelling and carbon cycle modeling and tools, including remote sensing data.
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