scholarly journals Review and Prospects of Strategies and Measures for Typhoon-Related Disaster Risk Reduction under Public Emergencies in TC Region

2021 ◽  
Author(s):  
Jixin Yu ◽  
Jinping Liu ◽  
Youngkwang Choi
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk

Analisis Longsor Cililin Dan Model Pengupayaan Kestabilan Lerengnya

2019 ◽  
Vol 16 (3) ◽  
Author(s):  
Wisyanto
Keyword(s):  
Land Cover ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Risk ◽  
West Java ◽  
Water Condition ◽  
Reduction Program ◽  
Landslide Risk Reduction

Landslides have occurred in various places in Indonesia. Likewise with West Java, there were many regions that has experienced repeated landslides. Having many experience of occurrences of landslides, we should have had a good landslide risk reduction program. Indeed, the incidence of landslides depends on many variables. Due to that condition, it may that a region would have different variable with another region. So it is impossible to generalize the implementation of a mitigation technology for all areas prone to landslides. Research of the Cililin's landslide is to anticipate the next disasters that may happen in around the area of 2013 Cililin Landslide. Through observation lithological conditions, water condition, land cover and landscape, as well as consideration of wide dimension of the building footing, the distance of building to the slopes and so forth, it has been determined some efforts of disaster risk reduction in the area around the landslide against the occurrence of potential landslide in the future.Bencana tanah longsor telah terjadi di berbagai tempat di Indonesia. Demikian halnya dengan Jawa Barat, tidak sedikit daerahnya telah berulang kali mengalami longsor. Seharusnya dengan telah banyaknya kejadian longsor, kita mampu mengupayakan program penurunan risiko longsor secara baik. Memang kejadian longsor bergantung pada banyak variabel, dimana dari satu daerah dengan daerah yang lain akan sangat memungkinkan mempunyai variabel yang berbeda, sehingga tidak mungkin kita membuat generalisasi penerapan suatu teknologi mitigasinya untuk semua daerah rawan longsor. Penelitian longsor di Cililin dilakukan untuk mengantisipasi terjadinya bencana di sekitar daerah Longsor Cililin 2013 yang lalu. Melalui pengamatan kondisi litologi, keairan, tutupan lahan dan bentang alam yang ada, serta pertimbangan akan dimensi luas pijakan bangunan, jarak batas bangunan dengan lereng dan lain sebagainya, telah ditentukan beberapa upaya penurunan risiko bencana di daerah sekitar longsor terhadap potensi kejadian longsor dimasa mendatang.Keywords: Landslide, risk reduction, footing of building, Cililin

scholarly journals Knowledge exchange through science diplomacy to assist disaster risk reduction

2021 ◽  
pp. 100188
Author(s):  
Yekaterina Y. Kontar ◽  
Alik Ismail-Zadeh ◽  
Paul Arthur Berkman ◽  
Patrizia I. Duda ◽  
Sir Peter Gluckman ◽  
...  
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Knowledge Exchange ◽  
Disaster Risk ◽  
Science Diplomacy

scholarly journals A review of public acceptance of nature-based solutions: The ‘why’, ‘when’, and ‘how’ of success for disaster risk reduction measures

AMBIO ◽  
2021 ◽  
Author(s):  
Carl C. Anderson ◽  
Fabrice G. Renaud
Keyword(s):  
Ecosystem Services ◽  
Risk Perception ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Public Acceptance ◽  
Societal Challenges ◽  
Increasing Trend ◽  
Risk Reduction Measures

AbstractNature-based solutions (NbS) are increasingly recognized as sustainable approaches to address societal challenges. Disaster risk reduction (DRR) has benefited by moving away from purely ‘grey’ infrastructure measures towards NbS. However, this shift also furthers an increasing trend of reliance on public acceptance to plan, implement and manage DRR measures. In this review, we examine how unique NbS characteristics relate to public acceptance through a comparison with grey measures, and we identify influential acceptance factors related to individuals, society, and DRR measures. Based on the review, we introduce the PA-NbS model that highlights the role of risk perception, trust, competing societal interests, and ecosystem services. Efforts to increase acceptance should focus on providing and promoting awareness of benefits combined with effective communication and collaboration. Further research is required to understand interconnections among identified factors and how they can be leveraged for the success and further uptake of NbS.

scholarly journals Building scientific capacity in disaster risk reduction for sustainable development

2021 ◽  
pp. 209660832110173
Author(s):  
Fang Chen ◽  
Zeeshan Shirazi ◽  
Lei Wang
Keyword(s):  
Sustainable Development ◽  
Cloud Computing ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Capacity Development ◽  
Disaster Risk ◽  
Data Sources ◽  
Comprehensive Understanding ◽  
Digital Infrastructure ◽  
Technological Developments

As climate warming intensifies, the frequency and intensity of disasters are also increasing, posing challenges to global sustainable development. The concept of disaster risk reduction (DRR) provides strong impetus for reducing disaster risk and vulnerabilities by employing the scientific and technological developments of recent decades. However, there is a need to enhance the capacities of different communities to use emerging digital infrastructure, not only in promoting DRR but also in ensuring sustainable future development. Limited access to and availability of data are restricting comprehensive understanding of these challenges. In many countries, the key areas for capacity development include collecting information from alternative and emerging data sources and meaningfully integrating it with data from traditional sources. Software and data analysis are becoming widely accessible due to open-source initiatives, while cloud computing technologies and programmes such as CASEarth provide valuable resources for multisource data integration, contributing to information-driven policy and decision-support systems for DRR.

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