Introduction to Disaster Risk Reduction and Management

Madu, Christian N.; Kuei, Chu‐Hua; Madu, Ifeanyi E.; Ozumba, Benjamin C.; Nnadi, Valentine E.; Odinkonigbo, Ujunwa L.; Ezeasor, Ikenna C.

doi:10.1142/9789813207950_0001

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Third, the four-stage construct (dormant, latent, active, and plateau stages of a crisis) offers a granularity to existing concepts of the stages of a crisis. For example, some crisis and disaster communication theorists (e.g., Spialek & Houston, 2018 ) have offered three-stage crisis frameworks (e.g., precrisis/crisis/postcrisis), whereas other scholars ( Fearn-Banks, 2011 ; Madu et al, 2018 ) have identified five stages (e.g., detection/prevention/containment/recovery/learning). While these stage conceptualizations span the wider range of a crisis (from its infancy to its denouement), our particular construct allows for a more atomized study of crisis dynamics before the end of a crisis.…”

Section: Discussionmentioning

confidence: 99%

Organizational Disaster Communication Ecology: Examining Interagency Coordination on Social Media During the Onset of the COVID-19 Pandemic

Liu

John

2021

American Behavioral Scientist

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Interagency coordination is crucial for effective multiagency disaster management. Viewing government and emergency management organizations as vital components of citizens’ disaster communication ecology, this study examines how a group of Texas-based public health departments and emergency management offices engaged in interagency coordination during different phases of the COVID-19 pandemic. By analyzing coronavirus-related agency tweets between early February and the end of August 2020, the study assesses two types of interagency coordination: (1) content-level coordination in the form of semantic similarity among the selected public agencies serving different jurisdictions and (2) relational-level coordination in terms of referencing common stakeholders through retweeting coronavirus-related information. Using a granular, four-stage construct of a crisis, results identify stage-based variation with regard to peer-to-peer and federal-to-local coordination. We conclude with theoretical and practical implications for communication ecology and disaster management.

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Section: Discussionmentioning

confidence: 99%

Organizational Disaster Communication Ecology: Examining Interagency Coordination on Social Media During the Onset of the COVID-19 Pandemic

Liu

John

2021

American Behavioral Scientist

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“…, 2015). While most of the tools do not recognize the link between sustainability and resilience as they pay more attention to addressing environmental and social impacts, the CASBEE is focusing on a much wider perspective as it concerns resilience more seriously while directing sustainability (Japan Sustainable Building Consortium, 2010; Madu, 2017).…”

Section: Green Building Rating Systems With Resilience Thinkingmentioning

confidence: 99%

Integrating disaster resilience into green rating systems – a modification of the Sri Lankan green building rating tool

Abeysinghe

Zoysa

Siriwardana

et al. 2022

SASBE

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PurposeThe purpose of the study is to mainstream the disaster risk reduction (DRR) and disaster resilience measures into the GreenSL® building rating system in Sri Lanka to demonstrate a more holistic approach in achieving sustainability with resilience.Design/methodology/approachFirst, a comprehensive literature review was carried out on green building practices and rating tools, natural hazards and DRR and global and local frameworks. Next, criteria were developed incorporating the disaster resilience aspects through eight expert committee meetings and included the rating tool in three levels. Finally, 11 green-certified buildings from the Green Building Council of Sri Lanka were reevaluated using the new disaster resilient GREENSL® rating system for built environment as a validation for the new tool and to analyze the new certification levels.FindingsAll the green-certified buildings in hazard-prone areas dropped their certification by one level while the buildings in nonhazard-prone areas remained in the certification after being evaluated by the new DRR-incorporated rating system, which recommends the use of new tool for the buildings in hazard-prone areas. But due to the rapid changes in climate and the unpredictable trends of natural hazards, the use of new DRR incorporated GREENSL® rating system for built environment for the certification of buildings is highly endorsed.Originality/valueThis is the first research study based on the GREENSL rating system. And it is the first effort to incorporate DRR aspects to any rating tool in Sri Lanka. The projects that were evaluated for the validation of the new tool are the actual projects which obtained green building certification. Also, it is apparent that this study has gone some way towards enhancing the understanding of blending the sustainability and resilience in rating systems for built environment.

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“…Climate change is one of the most significant challenges facing the world today, with the potential to impact various sectors such as agriculture, water management, and disaster risk reduction [1]. One of the critical climatic variables affected by climate change is rainfall.…”

Section: Introductionmentioning

confidence: 99%

Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process

Langat,

Mutinda

2024

Asian J. Prob. Stat.

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Understanding the pattern of rainfall in Kenya is crucial for a range of sectors, including agriculture, water management, and disaster risk reduction. In this research, we propose a Bayesian non-parametric approach to model the rainfall patterns in Kenya. Specifically, we use a hierarchical Dirichlet process mixture model to cluster the rainfall stations and identify groups of stations with similar rainfall patterns. We then model the rainfall distribution within each group using a Bayesian non-parametric model based on the normalized generalized gamma process. We apply our method to a dataset of daily rainfall measurements from 150 stations across Kenya for the period 1980-2021. Our results reveal distinct regional patterns of rainfall, with some regions experiencing bimodal rainfall patterns while others have unimodal patterns. We also find that the rainfall distribution within each region exhibits heavy tails and skewedness, which cannot be accurately captured by parametric models. In conclusion, our approach provides a flexible and interpretable framework for modeling complex spatio-temporal data such as rainfall patterns, and can inform decision-making in various sectors.

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Introduction to Disaster Risk Reduction and Management

Cited by 4 publications

References 7 publications

Organizational Disaster Communication Ecology: Examining Interagency Coordination on Social Media During the Onset of the COVID-19 Pandemic

Organizational Disaster Communication Ecology: Examining Interagency Coordination on Social Media During the Onset of the COVID-19 Pandemic

Integrating disaster resilience into green rating systems – a modification of the Sri Lankan green building rating tool

Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process

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