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Rebuilding for Resilience: A Barrier Island Case: The Bolivar Peninsula, U.S.A.. 2021 ed.
・ISBN 978-3-030-65534-1 paper EUR 99.99
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★★★
| 著者・編者 | Subasinghe, Chamila, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 128 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-40474＞ |
解説
Recurring extreme events of nature challenge disaster-prone settlements in complex ways. Devastating property damages are one of the tests of survival for such settlements in both economic and social terms. It also provides unique opportunities to rethink the environment cleared by massive natural disasters. However, rebuilding for long-term resiliency is one of the least investigated areas, particularly when employing tacit knowledge in the sustainable recovery process.
This book builds a discursive field around the post-disaster rebuilding of Bolivar Peninsula aftermath Hurricane Ike to demonstrate reciprocity between disaster absorptive ecological formations such as barrier islands and their exploitative human occupation. In the process, it investigates the nexus between connectivity among open space networks to various levels of surge damage among Bolivar spontaneous settlements. Beyond scientific analyses, the Hurricane Ike study triangulates syntactical methods with structured observations and statistical analyses to offer a holistic reporting model for emerging scholars and independent investigators, which one may find quite absent in the mainstream disaster studies and journalism.
This book builds a discursive field around the post-disaster rebuilding of Bolivar Peninsula aftermath Hurricane Ike to demonstrate reciprocity between disaster absorptive ecological formations such as barrier islands and their exploitative human occupation. In the process, it investigates the nexus between connectivity among open space networks to various levels of surge damage among Bolivar spontaneous settlements. Beyond scientific analyses, the Hurricane Ike study triangulates syntactical methods with structured observations and statistical analyses to offer a holistic reporting model for emerging scholars and independent investigators, which one may find quite absent in the mainstream disaster studies and journalism.