Natural Hazards Review最新文献_第5页

Rainstorm-Induced Emergency Recognition from Citizens’ Communications Based on Spatial Feature Extraction and Transfer Learning 基于空间特征提取和迁移学习的公民通信暴雨应急识别

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/(asce)nh.1527-6996.0000591

Zhao-ge Liu, Xiang-yang Li, Xiao-han Zhu, Chong Wu

引用次数: 1

Traditional Indigenous Ecological Knowledge to Enhance Community-Based Disaster Resilience: Taiwan Mountain Area 传统原住民生态知识提升社区抗灾能力:台湾山区

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1673

Jie-Ying Wu, Liang-Chun Chen

引用次数: 1

A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data 灾后结构性能评估数据中不确定性因素的表征框架

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/(asce)nh.1527-6996.0000604

T. Tomiczek, J. Helgeson, E. Sutley, Donghwan Gu, Sara Hamideh, P. Crawford

引用次数: 0

Homeowners’ Perceptions of Seismic Building Performance and Implications for Preparedness in New Zealand 新西兰房主对抗震建筑性能的看法及其防范意义

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/(asce)nh.1527-6996.0000600

Catalina Miranda, J. Becker, Charlotte Toma, Lauren J. Vinnell

引用次数: 0

In Memoriam: Junwon Seo 纪念：Junwon Seo

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1782

N. Uddin, L. Comfort

引用次数: 0

Flood Hazard Analysis Based on Copula Connect Function 基于Copula连接函数的洪水灾害分析

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/(asce)nh.1527-6996.0000598

Wei Li, Jianzhong Zhou, Xiang Yao, Kuaile Feng, Chengxin Luo, Na Sun

引用次数: 0

Estimating Pluvial Depth–Damage Functions for Areas within the United States Using Historical Claims Data 利用历史索赔数据估算美国境内地区的洪水深度损害函数

3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1543

Jeremy R. Porter, Michael L. Marston, Evelyn Shu, Mark Bauer, Kelvin Lai, Bradley Wilson, Mariah Pope

{"title":"Estimating Pluvial Depth–Damage Functions for Areas within the United States Using Historical Claims Data","authors":"Jeremy R. Porter, Michael L. Marston, Evelyn Shu, Mark Bauer, Kelvin Lai, Bradley Wilson, Mariah Pope","doi":"10.1061/nhrefo.nheng-1543","DOIUrl":"https://doi.org/10.1061/nhrefo.nheng-1543","url":null,"abstract":"Flooding has been the most costly natural disaster over the last 2 decades within the US. Therefore, recent research has focused on more accurately predicting economic losses from flooding to aid decision makers and mitigate economic exposure. For this, depth–damage functions have commonly been employed to predict the relative or absolute damage to buildings caused by different magnitudes of flooding. Although depth–damage functions, such as those adopted by the US Army Corps of Engineers, are widely available for fluvial and coastal flooding, less work has been done to develop functions for pluvial-induced flooding. Here, we use a database containing 13.5 million claims to develop pluvial depth–damage functions. For this, recently released flood hazard data are utilized to identify claims within the database that are likely related to pluvial flooding. We employed two types of regression models to fit the depth–damage functions. Secondarily, we developed an automated valuation model (AVM) to estimate building values across the state of New Jersey. These building values were then combined with flood hazard layers in order to apply the depth–damage functions and compute an aggregate annualized loss for New Jersey. The results indicated moderate agreement between the observed damage within the state of New Jersey and that computed by applying the study-developed depth–damage curves to buildings within the state using pluvial flood hazard layers. It is anticipated that the depth–damage functions developed by this research will aid future work in more accurately quantifying the economic risks associated with flooding across the US.","PeriodicalId":51262,"journal":{"name":"Natural Hazards Review","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Promoting Spatial Coordination in Flood Buyouts in the United States: Four Strategies and Four Challenges from the Economics of Land Preservation Literature 促进美国洪水收购的空间协调:来自土地保护经济学文献的四个策略和四个挑战

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1564

Polina K. Dineva, Christina McGranaghan, K. Messer, Leah H. Palm‐Forster, L. Paul, A. Siders

{"title":"Promoting Spatial Coordination in Flood Buyouts in the United States: Four Strategies and Four Challenges from the Economics of Land Preservation Literature","authors":"Polina K. Dineva, Christina McGranaghan, K. Messer, Leah H. Palm‐Forster, L. Paul, A. Siders","doi":"10.1061/nhrefo.nheng-1564","DOIUrl":"https://doi.org/10.1061/nhrefo.nheng-1564","url":null,"abstract":": Managed retreat in the form of voluntary flood-buyout programs provides homeowners with an alternative to repairing and rebuilding residences that have sustained severe flood damage. Buyout programs are most economically efficient when groups of neighboring properties are acquired because they can then create unfragmented flood control areas and reduce the cost of providing local services. However, buyout programs in the United States often fail to acquire such efficient, unfragmented spaces, for various reasons, including long administrative timelines, the way in which buyout offers are made, desires for community cohesion, and attachments to place. Buyout programs have relied primarily on posted price mechanisms involving offers that are accepted or rejected by homeowners with little or no negotiation. In this paper, we describe four alternative strategies that have been used successfully in land-preservation agricultural – environmental contexts to increase acceptance rates and decrease fragmentation: agglomeration bonuses, reverse auctions, target constraints, and hybrid approaches. We discuss challenges that may arise during their implementation in the buyout context — transaction costs, equity and distributional impacts, unintended consequences, and social pressure — and recommend further research into the efficiency and equity of applying these strategies to residential buyout programs with the explicit goal of promoting spatial coordination. © 2022 American Society of Civil Engineers.","PeriodicalId":51262,"journal":{"name":"Natural Hazards Review","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47917623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Flood Risk Assessment and Mitigation through Numerical Modeling: A Case Study 通过数值模拟加强洪水风险评估和减灾:一个案例研究

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1687

Shui-Hua Jiang, Hua Zhi, Ze‐Zhou Wang, Shuai Zhang

引用次数: 0

Review of Atlas of Forecasts: Modeling and Mapping Desirable Futures by Katy BörnerMIT Press, Cambridge, MA, 02142; 2021; ISBN 9780262045957; 214 pp.; $39.95. 回顾预测地图集:建模和绘制理想的未来凯蒂BörnerMIT出版社，剑桥，马萨诸塞州，02142;2021;ISBN 9780262045957;214页;39.95美元。

IF 2.7 3区工程技术

Natural Hazards Review Pub Date : 2023-02-01 DOI: 10.1061/nhrefo.nheng-1741

Ross J. Guida

引用次数: 0