Natural Disasters and Risk Management in Canada

Agrawal, Nirupama

doi:10.1007/978-94-024-1283-3

Cited by 18 publications

(11 citation statements)

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“…Dalam beberapa tahun terakhir, dampak dari banjir berlipat ganda karena naiknya permukaan laut, erosi pantai, dan penurunan muka tanah (Akbar et al, 2019). Transformasi fisik yang cepat menimbulkan banyak tantangan lain termasuk tekanan regional yang kompleks (Rockefeller Foundation, 2015 (Agrawal, 2018). R adalah Risiko (Risk), H adalah bahaya (Hazarrd), V adalah Kerentanan (Vulnarability) dan C adalah kapasitas (Capacity).…”

Section: Pendahuluanunclassified

Manajemen Risiko Bencana Hidroklimatologi untuk Ketahanan Kota di Semarang

Awalia

2021

JBP

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AbstrakKota menghadapi semakin banyak kesulitan dan tantangan global abad ke-21. Dari efek perubahan iklim, pertumbuhan populasi migran, infrastruktur yang tidak memadai, serangan dunia maya dan pandemic. Selain tekanan kronis dari masalah yang ada, ketika bencana terjadi, daerah perkotaan yang terletak dipesisir dan populasinya juga lebih rentan terhadap guncangan yang menyebabkan peningkatan kerentanan, ketidakpastian, dan dampak ganda risiko kota. Kekhawatiran kota Semarang yang paling mendesak adalah tentang air, dalam RTRW 2011-2031, Kota Semarang yang merupakan daerah rawan bencana seperti daerah rawan rob, banjir, longsor dan rentan terhadap gerakan tanah. Masalah sosial juga mulai meningkat di kota karena meningkatnya tekanan ekologis. Dalam beberapa tahun terakhir, dampak dari banjir berlipat ganda karena naiknya permukaan laut, erosi pantai, dan penurunan muka tanah. Transformasi fisik yang cepat menimbulkan banyak tantangan termasuk urbanisasi dan penyebaran yang cepat dan tekanan regional yang kompleks. Dengan Menggunakan metode penelitian kualitatif dan pendekatan studi kasus. Kenyataan pahit diatas perlu adanya kajian manajemen risiko bencana untuk mengatasi masalah tersebut. Penelitian ini merupakan kumpulan strategi aksi kota mengelola risiko dari dampak perubahan iklim. penjabaran rencana aksi tersebut berkontribusi untuk meningkatkan ketahanan kota. Hasil penelitian ini mengungkap bahwa manajemen risiko yang dilakukan Kota Semarang sudah mengarah pada mitigasi dan upaya mereduksi risiko bencana hidroklimatologi meskipun upaya-upaya lainya harus tetap dioptimalkan.

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Section: Pendahuluanunclassified

Manajemen Risiko Bencana Hidroklimatologi untuk Ketahanan Kota di Semarang

Awalia

2021

JBP

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“…To summarize, in an ideal disaster-risk management plan, both a hazard (i.e., the probability of occurrence) and vulnerability (i.e., loss, impact, or consequences) analysis are conducted [38]. The most standard risk formula is expressed as [5]:…”

Section: Establishment Of the Indicator Systemmentioning

confidence: 99%

“…Previous research on the risk of typhoons has focused on its causes. The probability of hazard occurrence and its potential impact are often used to define risk [5]. However, the vulnerability of coastal at-risk areas, especially the built environment [6], and environmental susceptibility to disasters remain under-studied [7].…”

Section: Introductionmentioning

confidence: 99%

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Gao

Geddes

2020

Sustainability

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Guangdong Province is one of China’s largest and most developed regions. It is home to more than 113 million people and features unique geographical and climatic characteristics. Typhoons that pass through often result in heavy rainfall, which causes flooding. The region’s risk of typhoon and flood disasters, and the resulting indirect economic impacts, have not been fully assessed. The purpose of this paper is to introduce a method for assessing the spatial and temporal cumulative risk of typhoon-induced flood disasters, and the resulting indirect economic impacts, in order to deal with the uncertainty of disasters. We combined an analytic hierarchy process (AHP) and spatial analysis using a geographic information system (GIS) to produce a comprehensive weighted-risk assessment from three different aspects of disaster, vulnerability, and resilience, with 11 indicators. A new method for computing risk based on spatial and temporal cumulative patterns of typhoon-induced flood disasters was introduced. We incorporated those direct impacts into a computable general equilibrium (CGE) model to simulate indirect economic losses in alternative scenarios according to different risk levels. We found that the risk in the coastal area is significantly higher than that in the northern mountainous area. The coastal areas of western Guangdong, Pearl River Delta, and Chaoshan Plain face the greatest risk. Our results indicate that typhoon and flood disasters have negative effects on the real GDP, residents’ income, consumption, and several other macroeconomic indicators. We found differing disaster impacts across industrial sectors, including changes in the output, prices, and flow of labor among industries. Our estimates provide scientific support for environmental planning, spatial planning, and disaster-risk management in this important region. They are also of reference value for the development of disaster management strategies in similar climatic regions around the world.

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“…Gathering the abundant methods is needed to guarantee sustainable help to people, whereas interdisciplinary cooperation is highly recommended. The importance of GIS and RS for DRM is surely known within research, but also National and International Institutions or Organizations around the globe work in certain ways with geospatial data like UN SPIDER 1 , the National Entities of Canada (Agrawal 2018. ) or the National Unity of Disaster Risk Management in Colombia 2 .…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion, Gis and Ai Technologies for Disaster Management

Kemper

Kemper²

2020

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

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Abstract. Modern Disaster Management Systems are based on several columns that combine theory and practice, software, and hardware being under technological advance. In all parts, spatial data is key in order to analyze existing structure, assist in risk assessment and update the information after a disaster incident. This paper focus on technological advances in several fields of spatial analysis putting together the advantages, limitations and technological aspects from well-known or even innovative methods, highlighting the huge potential of nowadays technologies for the field of Disaster Risk Management (DRM).A focus then is lying on GIS and Remote Sensing technologies that are showing the potential of high-quality sensors and image products that are getting easier to access and captured with recent technology. Secondly, several relevant sensors being thermal or laser-based are introduced pointing out the application possibilities, their limits, and potential fusion of them. Emphasis is further driven to Machine Learning techniques adopted from Artificial Intelligence that improve algorithms for auto-detection and represent an important step forwards to an integrated system of spatial data use in the Disaster Management Cycle. The combination of Multi-Sensor Systems, new Platform technologies, and Machine Learning indeed creates a very important benefit for the future.

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Natural Disasters and Risk Management in Canada

Cited by 18 publications

References 0 publications

Manajemen Risiko Bencana Hidroklimatologi untuk Ketahanan Kota di Semarang

Manajemen Risiko Bencana Hidroklimatologi untuk Ketahanan Kota di Semarang

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Sensor Fusion, Gis and Ai Technologies for Disaster Management

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