Complex Risk Analysis of Natural Hazards through Fuzzy Logic

Златева, Пламена; Velev, Dimiter

doi:10.12720/joams.1.4.395-400

Cited by 10 publications

(5 citation statements)

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“…In this relation and in case of shortage of data we applied fuzzy logic (Zimmerman, 1996) to make a complex assessment of multiple natural hazard level (Zlateva and Velev, 2013) and adding the time component (duration and total amount of rain). We designed fuzzy logic model with three inputs as follow: input 1 (with the highest importance for common hazard level) the total amount of intensive rain; input 2 (with moderate importance for common hazard level)the multiple hazard level and input 3 (with less importance for common hazard level) the rain duration.…”

Section: Methodsmentioning

confidence: 99%

Geoinformation Approach for Complex Analysis of Multiple Natural Hazard

Nikolova

Златева

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Natural hazards are existence of natural components and processes, which create a situation that could negatively affect people, the economy and the environment. In this concern, they are associated with the probability of negative impacts and they are considered as limiting factors for people's lives and activities. Rising public awareness about natural hazards could improve the quality of life, save financial resources and even save lives. Methodological issues of complex analysis of multiple natural hazards in geographic information system (GIS) environment are presented in the current paper on the example of floods and landslide assessment. The complicated nature of natural hazards and the interrelations between natural components require a complex analysis of natural hazard factors and an integrated assessment taking into account all aspects of different hazards as well as the overall hazard resulting from a probable simultaneous occurrence of several adverse natural phenomena. A special attention is given to the data as one of the most important component of the analysis. Different data formats and particularities of spatial data interpretation in GIS environment are considered. Having regard the nature of the data and the phenomenon being evaluated, different GIS spatial analysis tools (fuzzy overlay, weighted sum, interpolation) are applied together with mathematical analyses. The results of the current research and suggested approach could support decision makers in territorial planning and risk management.</p>

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Section: Methodsmentioning

confidence: 99%

Geoinformation Approach for Complex Analysis of Multiple Natural Hazard

Nikolova

Златева

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…To address question (i) from the perspective of a disaster risk analysis, all potential natural disasters in the research region must be identified and considered [117][118][119][120]. The particular context of the research region and the study's goal determine which risks are important.…”

Section: Risk Analysismentioning

confidence: 99%

A Review of Spatial Variations of Multiple Natural Hazards and Risk Management Strategies in Pakistan

Hussain

Zhang

Moawwez

et al. 2023

Water

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Natural hazards are dynamic and unpredictable events that are a continuous threat to global socio-economic development. Humans’ reactions to these catastrophes are influenced by their proximity to the hazards and their ability to anticipate, resist, cope with, and recover from their consequences. Due to climatic changes, the risk of multiple natural hazards is expected to increase in several regions of Pakistan. There is a pressing need to understand the spatial discrepancies of natural hazards due to climate change and identifying the regions that require special measures to increase resilience, achieve adaptation, and sustainable development goals. This paper synthesizes the related literature to understand spatial variations of natural hazards due to climate changes across Pakistan. The Emergency Events Database (EM-DAT), National Aeronautics and Space Administration Global Landslide Catalog (NASA-GLC), National Disaster Management Authority (NDMA), and Pakistan Meteorological Department (PMD) are utilized to analyze spatial discrepancies and vulnerabilities to natural hazards. This study unveils that Pakistan’s current risk analysis and management strategies seem to be obsolete compared to global trends. Because of spatial variations of hazards, most research work on hazard risk assessments and risk management focuses on a single hazard, neglecting the co-occurrence impact of different natural hazards. Very limited studies are included in comprehensive multi-hazard risk strategies. Therefore, in Pakistan, risk management would require integrated multi-hazard risk assessment approaches to detect, analyze, measure, and evaluate various natural hazards, their effects, and interconnections. Moreover, the Pakistan governmental institutes dealing with natural hazards should focus on pre-disaster mitigation and resilience techniques instead of investing only in post-disaster relief activities.

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“…Afet Sonrası Yönetim Sisteminin temel amacı kurtarma kaynaklarını adil ve verimli bir şekilde yönetmektir. Literatürde afet yönetim sistemlerinde kullanılan yöntemlerden biri olduğu için karar destek sistemi olarak bulanık mantık tercih edilmiştir [18][19][20]. Kullanılan bulanık temelli karar destek sistemi Şekil 6'da verilmektedir.…”

Section: Bulanık Mantık Tabanlı Karar Destek Sistemiunclassified

IoT Teknolojilerini Kullanan Afet Sonrası Yönetim Sistemi

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et al. 2019

Academic Platform Journal of Engineering and Science

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Deprem, sel vb. afet olaylarından sonra can ve mal kaybı gibi afetin etkilerini azaltmak için afet bölgesinden doğru ve hızlı bilgi edinilmesi büyük önem arz etmektedir. Bu bilgi afet sonrası yönetim sistemlerinin de etkinliğini arttırmaktadır. Günümüzde nesnelerin interneti teknolojisi akıllı şehir, akıllı ev, enerji yönetimi, trafik optimizasyonu vb. çok geniş uygulama alanına sahiptir. Bu çalışmada nesnelerin interneti teknolojilerini kullanan, bulanık mantık temelli karar destek sistemine sahip bir afet sonrası yönetim sistemi sunulmaktadır. Bu sistem, nesnelerin interneti teknolojilerinden yararlanarak afetten etkilenen hasarlı bina, etkilenen kişi sayısı gibi bilgilerin elde edilmesi ile afet sonrası yönetim sisteminin kurtarma personeli, ekipman, araç vb. kaynakları etkili bir şekilde yönetmesini ve planlamasını amaçlanmaktadır. Önerilen sistemin başarım değerlendirmesi 7 baz istasyonu, 50 WiFi bağlantı noktası ve 10 IoT nesnesi içeren örnek bir senaryo üzerinde sunulmuştur. Bina hasar durumları ile afet bölgesindeki insan yoğunluğuna ait bilgiler bulanık mantık temelli karar destek sistemi ile üç farklı renkte görselleştirilmiş ve sınıflandırılmıştır.

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Complex Risk Analysis of Natural Hazards through Fuzzy Logic

Cited by 10 publications

References 1 publication

Geoinformation Approach for Complex Analysis of Multiple Natural Hazard

Geoinformation Approach for Complex Analysis of Multiple Natural Hazard

A Review of Spatial Variations of Multiple Natural Hazards and Risk Management Strategies in Pakistan

IoT Teknolojilerini Kullanan Afet Sonrası Yönetim Sistemi

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