Disaster Risk Reduction and Climate Change Adaptation:

doi:10.3390/books978-3-0365-6687-0

Download Url(s)

https://mdpi.com/books/pdfview/book/6854

Contributor(s)

Ishiwatari, Mikio (editor)

Sasaki, Daisuke (editor)

Language

English

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Abstract

A multidisciplinary approach that involves multiple sectors and stakeholders is essential for disaster risk reduction and adaptation to climate change. This Special Issue explores how interdisciplinary approaches could resolve a wide range of issues, including risk and damage assessment, behavior change, investment, and evidence-based policy formulation.

URI

https://directory.doabooks.org/handle/20.500.12854/98812

Keywords

natural hazard-triggered technological (Natech); risk perception; protective actions; evacuation; household survey; Cilegon; Indonesia; agricultural drought vulnerability; spatial heterogeneity; entropy weight method; contribution model; China; risk assessment; high-temperature disaster; kiwifruit; climatic suitability zoning; hazard; vulnerability; exposure; disaster prevention and mitigation capacity; extreme temperature indices; abrupt; prediction; disaster risk; Yangtze River Basin; climate change; adaptation; method; digital disaster reduction; natural disasters; agricultural production; food aid; official development assistance; conflict; poverty; cereal production; humanitarian aid; financing mechanism; flood protection; investment cycle; investment in DRR; Japan; long-term plan; lost decades; Sendai Framework for Disaster Risk Reduction; multi-variate Probit model; Poisson regression model; agricultural productive services; earthquake disaster; earthquake fatalities; rapid estimation; earthquake relief; disaster assessment; earthquake emergency response; numerical simulation; empirical method; Yangbi earthquake; COVID-19; disaster science; evidence-based policymaking; ordinal logistic regression; principal component analysis; compound indicator; single-person households; indirect death; long-term effects; excess mortality; surveillance system; disaster risk reduction; disaster risk perception; the population at risk; agent-based modeling; coastal areas; community-based adaptation; nature-based solutions; green infrastructure; perception; family; community; Jakarta; disaster preparedness capability; heavy rainstorm; local government; AHP; evaluation index system; n/a