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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0158375
论文题名:	Statistical Analysis of the Effectiveness of Seawalls and Coastal Forests in Mitigating Tsunami Impacts in Iwate and Miyagi Prefectures
作者:	Roshanak Nateghi; Jeremy D. Bricker; Seth D. Guikema; Akane Bessho
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-8-10
卷:	11, 期:8
语种:	英语
英文关键词:	Death rates ; Forests ; Tsunamis ; Support vector machines ; Decision trees ; Topography ; Forecasting ; Generalized linear model
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158375&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/22996
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

Files in This Item:

File Name/ File Size	Content Type	Version	Access	License
journal.pone.0158375.PDF（1563KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

School of Industrial Engineering and Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, United States of America;International Research Institute of Disaster Science, Tohoku University, Sendai, Japan;Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, United States of America;Undergraduate program in Architectural Design, Maryland Institute College of Art, Baltimore, MD, United States of America

Recommended Citation:

Roshanak Nateghi,Jeremy D. Bricker,Seth D. Guikema,et al. Statistical Analysis of the Effectiveness of Seawalls and Coastal Forests in Mitigating Tsunami Impacts in Iwate and Miyagi Prefectures[J]. PLOS ONE,2016-01-01,11(8)

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