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2nd Edition of Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: closed (22 June 2023) | Viewed by 3846

Special Issue Editors

Special Issue Information

Dear Colleagues,

After editing the first Special Issue of “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”, we decided to organize a second edition, as we believe that a lot can still be said on this topic.

In 2015, three global agendas were adopted by the member states of the United Nations (UN): the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR), the 2030 Agenda for Sustainable Development (SDGs), and the Paris Agreement. As is often pointed out, these three global agendas are mutually related. For instance, the United Nations Climate Change Secretariat (2017) illustrated reducing vulnerability and enhancing resilience as the intersection of the three areas—disaster risk reduction (DRR), SDGs, and climate change adaptation (CCA). In addition, the SFDRR is considered to be an integral part of the SDGs, as described in the co-chairs’ summary of the Global Platform for Disaster Risk Reduction (GP2019) held in Geneva in May 2019. At the same time, the SFDRR notes that “disasters, many of which are exacerbated by climate change and which are increasing in frequency and intensity, significantly impede progress towards sustainable development,” and thus DRR is expected to have a catalytic role in scaling up action on climate adaptation and resilience. Based on the above global recognition, it is of great significance to investigate DRR and CCA in a holistic and interdisciplinary way, as the three inter-related global agendas, namely, the SFDRR, the SDGs, and the Paris Agreement, request. It is expected that this Special Issue will comprise more than ten papers on different dimensions of DRR and CCA that focus on various issues including public health such as the COVID-19 pandemic and the 2022 monkeypox outbreak.

Dr. Mikio Ishiwatari
Dr. Daisuke Sasaki
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • disaster risk reduction (DRR)
  • climate change adaptation (CCA)
  • Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR)
  • 2030 Agenda for Sustainable Development (SDGs)
  • Paris Agreement
  • environment
  • public health
  • COVID-19 pandemic
  • 2022 monkeypox outbreak
  • disaster science
  • interdisciplinary approach

Related Special Issue

Published Papers (2 papers)

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Research

15 pages, 660 KiB  
Article
Family and Community Obligations Motivate People to Immigrate—A Case Study from the Republic of the Marshall Islands
by Ryo Fujikura, Mikiyasu Nakayama, Daisuke Sasaki, Irene Taafaki and Jichao Chen
Int. J. Environ. Res. Public Health 2023, 20(8), 5448; https://doi.org/10.3390/ijerph20085448 - 10 Apr 2023
Viewed by 1968
Abstract
A questionnaire survey was conducted in the Marshall Islands among 308 citizens of Majuro in order to analyze the factors that led them to immigrate. Using the results from the questionnaire items that indicate the motivations for emigration as independent variables, we extracted [...] Read more.
A questionnaire survey was conducted in the Marshall Islands among 308 citizens of Majuro in order to analyze the factors that led them to immigrate. Using the results from the questionnaire items that indicate the motivations for emigration as independent variables, we extracted the factors with significantly high correlation coefficients; they suggest that the desire to escape from the many obligations within the family and regional community are predominant push factors for migrating overseas while the economic disparity between the United State and their home countries are predominant pull factors. Independently, the Permutation Feature Importance was used to extract the salient factors motivating migration, which provides similar results. Furthermore, the result of structural equation modeling verified the hypothesis that an escape from many obligations and economic disparity is a major motivation for migration at a significance level of 0.1%. Full article
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21 pages, 4886 KiB  
Article
Identifying Evacuation Needs and Resources Based on Volunteered Geographic Information: A Case of the Rainstorm in July 2021, Zhengzhou, China
by Jingyi Gao, Osamu Murao, Xuanda Pei and Yitong Dong
Int. J. Environ. Res. Public Health 2022, 19(23), 16051; https://doi.org/10.3390/ijerph192316051 - 30 Nov 2022
Cited by 2 | Viewed by 1473
Abstract
Recently, global climate change has led to a high incidence of extreme weather and natural disasters. How to reduce its impact has become an important topic. However, the studies that both consider the disaster’s real-time geographic information and environmental factors in severe rainstorms [...] Read more.
Recently, global climate change has led to a high incidence of extreme weather and natural disasters. How to reduce its impact has become an important topic. However, the studies that both consider the disaster’s real-time geographic information and environmental factors in severe rainstorms are still not enough. Volunteered geographic information (VGI) data that was generated during disasters offered possibilities for improving the emergency management abilities of decision-makers and the disaster self-rescue abilities of citizens. Through the case study of the extreme rainstorm disaster in Zhengzhou, China, in July 2021, this paper used machine learning to study VGI issued by residents. The vulnerable people and their demands were identified based on the SOS messages. The importance of various indicators was analyzed by combining open data from socio-economic and built-up environment elements. Potential safe areas with shelter resources in five administrative districts in the disaster-prone central area of Zhengzhou were identified based on these data. This study found that VGI can be a reliable data source for future disaster research. The characteristics of rainstorm hazards were concluded from the perspective of affected people and environmental indicators. The policy recommendations for disaster prevention in the context of public participation were also proposed. Full article
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