Natural Hazard Analysis for a Small Alpine Catchment in the Nepalese Himalayas

2017 ◽  
pp. 459-465
Author(s):  
Klaus Schraml ◽  
Christian Uhlir ◽  
Johannes Hübl
Keyword(s):  
Natural Hazard ◽  
Hazard Analysis

scholarly journals Geomorphological hazard analysis along the Egyptian Red Sea coast between Safaga and Quseir

2009 ◽  
Vol 9 (3) ◽  
pp. 751-766 ◽  
Author(s):  
A. M. Youssef ◽  
B. Pradhan ◽  
A. F. D. Gaber ◽  
M. F. Buchroithner
Keyword(s):  
Red Sea ◽  
Urban Areas ◽  
Natural Hazard ◽  
Hazard Analysis ◽  
Hazard Mapping ◽  
Hazard Maps ◽  
Industrial Facilities ◽  
Vulnerability Maps ◽  
Legal Restrictions ◽  
Sea Area

Abstract. Geomophological hazard assessment is an important component of natural hazard risk assessment. This paper presents GIS-based geomorphological hazard mapping in the Red Sea area between Safaga and Quseir, Egypt. This includes the integration of published geological, geomorphological, and other data into GIS, and generation of new map products, combining governmental concerns and legal restrictions. Detailed geomorphological hazard maps for flooding zones and earth movement potential, especially along the roads and railways, have been prepared. Further the paper illustrates the application of vulnerability maps dealing with the effect of hazard on urban areas, tourist villages, industrial facilities, quarries, and road networks. These maps can help to initiate appropriate measures to mitigate the probable hazards in the area.

scholarly journals The application of Bayesian networks in natural hazard analyses

2013 ◽  
Vol 1 (5) ◽  
pp. 5805-5854
Author(s):  
K. Vogel ◽  
C. Riggelsen ◽  
O. Korup ◽  
F. Scherbaum
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
Domain Knowledge ◽  
Natural Hazard ◽  
Hazard Analysis ◽  
Flood Damage ◽  
Continuous Variables ◽  
Real World Data ◽  
Ground Motion Model ◽  
Hazard Assessments

Abstract. In natural hazards we face several uncertainties due to our lack of knowledge and/or the intrinsic randomness of the underlying natural processes. Nevertheless, deterministic analysis approaches are still widely used in natural hazard assessments, with the pitfall of underestimating the hazard with potentially disastrous consequences. In this paper we show that the Bayesian network approach offers a flexible framework for capturing and expressing a broad range of different uncertainties as those encountered in natural hazard assessments. Although well studied in theory, the application of Bayesian networks on real-world data is often not straightforward and requires specific tailoring and adaption of existing algorithms. We demonstrate by way of three case studies (a ground motion model for a seismic hazard analysis, a flood damage assessment, and a landslide susceptibility study) the applicability of Bayesian networks across different domains showcasing various properties and benefits of the Bayesian network framework. We offer suggestions as how to tackle practical problems arising along the way, mainly concentrating on the handling of continuous variables, missing observations, and the interaction of both. We stress that our networks are completely data-driven, although prior domain knowledge can be included if desired.

scholarly journals Invited perspectives: Building sustainable and resilient communities – recommended actions for natural hazard scientists

2021 ◽  
Vol 21 (1) ◽  
pp. 187-202
Author(s):  
Joel C. Gill ◽  
Faith E. Taylor ◽  
Melanie J. Duncan ◽  
Solmaz Mohadjer ◽  
Mirianna Budimir ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Natural Hazard ◽  
Hazard Analysis ◽  
Good Practice ◽  
Disaster Risk ◽  
The Sustainable Development ◽  
Resilient Communities ◽  
Training And Research ◽  
Science Community ◽  
Development Goals

Abstract. Reducing disaster risk is critical to securing the ambitions of the Sustainable Development Goals (SDGs), and natural hazard scientists make a key contribution to achieving this aim. Understanding Earth processes and dynamics underpins hazard analysis, which (alongside analysis of other disaster risk drivers) informs the actions required to manage and reduce disaster risk. Here we suggest how natural hazard research scientists can better contribute to the planning and development of sustainable and resilient communities through improved engagement in disaster risk reduction (DRR). Building on existing good practice, this perspective piece aims to provoke discussion in the natural hazard science community about how we can strengthen our engagement in DRR. We set out seven recommendations for enhancing the integration of natural hazard science into DRR: (i) characterise multi-hazard environments; (ii) prioritise effective, positive, long-term partnerships; (iii) understand and listen to your stakeholders; (iv) embed cultural understanding into natural hazard research; (v) ensure improved and equitable access to hazard information; (vi) champion people-centred DRR (leaving no one behind); and (vii) improve links between DRR and sustainable development. We then proceed to synthesise key actions that natural hazard scientists and research funders should consider taking to improve education, training, and research design and to strengthen institutional, financial, and policy actions. We suggest that these actions should help to strengthen the effective application of natural hazard science to reduce disaster risk. By recognising and taking steps to address the issues raised in these recommendations, we propose that the natural hazard science community can more effectively contribute to the inter-/transdisciplinary, integrated work required to improve DRR.

Natural Hazard Analysis in the Aspio Equipped Basin

2014 ◽  
pp. 431-435 ◽  
Author(s):  
A. Tazioli ◽  
A. Mattioli ◽  
T. Nanni ◽  
P.M. Vivalda
Keyword(s):  
Natural Hazard ◽  
Hazard Analysis

scholarly journals Invited Perspective: Building sustainable and resilient communities – Recommended actions for natural hazard scientists

2020 ◽  
Author(s):  
Joel C. Gill ◽  
Faith E. Taylor ◽  
Melanie J. Duncan ◽  
Solmaz Mohadjer ◽  
Mirianna Budimir ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Natural Hazards ◽  
Natural Hazard ◽  
Hazard Analysis ◽  
Good Practice ◽  
Disaster Risk ◽  
The Sustainable Development ◽  
Resilient Communities ◽  
Science Community ◽  
Development Goals

Abstract. Reducing disaster risk is critical to securing the ambitions of the Sustainable Development Goals (SDGs), and natural hazard scientists make a key contribution to achieving this aim. Understanding Earth processes and dynamics underpins hazard analysis, which (alongside analysis of other disaster risk drivers) informs the actions required to manage and reduce disaster risk. Here we suggest how natural hazard research scientists can better contribute to the planning and development of sustainable and resilient communities through improved engagement in disaster risk reduction (DRR). Building on existing good practice, this perspective piece aims to provoke discussion in the natural hazard science community about how we can strengthen our engagement in DRR. We set out seven recommendations for enhancing the integration of natural hazard science into DRR: (i) characterise multi-hazard environments, (ii) prioritise effective, positive, long-term partnerships, (iii) understand and listen to your stakeholders, (iv) embed cultural understanding into natural hazards research, (v) ensure improved and equitable access to hazards information, (vi) champion people-centred DRR (leaving no one behind), and (vii) improve links between DRR and sustainable development. We then proceed to synthesise key actions that natural hazards scientists and research funders should consider taking to improve education, training, and research design, and to strengthen institutional, financial and policy actions. We suggest that these actions should help to strengthen the effective application of natural hazards science to reduce disaster risk. By recognising and taking steps to address the issues raised in these recommendations, we propose that the natural hazard science community can more effectively contribute to the inter/transdisciplinary, integrated work required to improve DRR.

Web Based Information System for Natural Hazard Analysis in an Alpine Valley

2005 ◽  
pp. 1271-1281
Author(s):  
Constantin R. Gogu ◽  
Helen Freimark ◽  
Boris Stern ◽  
Lorenz Hurni
Keyword(s):  
Information System ◽  
Natural Hazard ◽  
Hazard Analysis ◽  
Web Based ◽  
Alpine Valley
Sign in / Sign up

Export Citation Format

Share Document