Residential district multi-hazard risk is associated with childhood undernutrition: evidence from Bangladesh

Author(s):  
Md Belal Hossain ◽  
Jahidur Rahman Khan ◽  
Mahmood Parvez
2017 ◽  
Vol 25 (3) ◽  
pp. 21-46 ◽  
Author(s):  
Hyungjun Park ◽  
Gyoungjun Ha ◽  
Dalbyul Lee ◽  
Juchul Jung

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Filippo Ferrario ◽  
Michael W. Beck ◽  
Curt D. Storlazzi ◽  
Fiorenza Micheli ◽  
Christine C. Shepard ◽  
...  

2021 ◽  
Vol 13 (10) ◽  
pp. 5369
Author(s):  
Rajesh Khatakho ◽  
Dipendra Gautam ◽  
Komal Raj Aryal ◽  
Vishnu Prasad Pandey ◽  
Rajesh Rupakhety ◽  
...  

Natural hazards are complex phenomena that can occur independently, simultaneously, or in a series as cascading events. For any particular region, numerous single hazard maps may not necessarily provide all information regarding impending hazards to the stakeholders for preparedness and planning. A multi-hazard map furnishes composite illustration of the natural hazards of varying magnitude, frequency, and spatial distribution. Thus, multi-hazard risk assessment is performed to depict the holistic natural hazards scenario of any particular region. To the best of the authors’ knowledge, multi-hazard risk assessments are rarely conducted in Nepal although multiple natural hazards strike the country almost every year. In this study, floods, landslides, earthquakes, and urban fire hazards are used to assess multi-hazard risk in Kathmandu Valley, Nepal, using the Analytical Hierarchy Process (AHP), which is then integrated with the Geographical Information System (GIS). First, flood, landslide, earthquake, and urban fire hazard assessments are performed individually and then superimposed to obtain multi-hazard risk. Multi-hazard risk assessment of Kathmandu Valley is performed by pair-wise comparison of the four natural hazards. The sum of observations concludes that densely populated areas, old settlements, and the central valley have high to very high level of multi-hazard risk.


2021 ◽  
pp. 251484862110198
Author(s):  
Jessica K Weir ◽  
Timothy Neale ◽  
Elizabeth A Clarke

Unrealistic expectations in society about science reducing and even eliminating the risk of natural hazards contrasts with the chaotic forces of these events, but such expectations persist nonetheless. Risk mitigation practitioners must grapple with them, including in the cycles of blame and inquiry that follow natural hazard events. We present a synthesis of such practitioner experiences from three consequential bushfire and flood risk landscapes in Australia in which science was being used to change policy and/or practice. We show how they chose to work with, counter and recalibrate unrealistic expectations of science, as well as embrace socionatural complexity and a consequential nature. The mismatch between the challenges faced by the sector and the unrealistic expectations of science, generated more stressful work conditions, less effective risk mitigation, and less effective use of research monies. In response, we argue for structural and procedural change to address legacy pathways that automatically privilege science, especially in relation to nature, with broader relevance for other environmental issues. This is not to dismiss or debase science, but to better understand its use and utility, including how facts and values relate.


Author(s):  
Niichi Nishiwaki ◽  
Noboru Fujio ◽  
Takuji Mori

People living in houses near a big factory complained about chattering of glass windows. At one of these houses, the SPL of low frequency noise was about 66 dB at 5.5 Hz and ground acceleration level was about 40 dB at 9 Hz in the horizontal direction. (0 dB acceleration = 10−5 m/s2). We found that the noise and ground vibration were caused by a big grinding mill in the factory, because both SPL and acceleration level at the residential district were considerably decreased when the mill was not in operation. We also confirmed that low frequency noise was not transmitted from the grinding mill directly, but was due to the resonant vibration of walls of the factory building. Two ideas are studied here to suppress the noise, one of which is to isolate the vibration of the grinding mill at its foundation, and the other is to improve the stiffness of the building frames to stop the wall vibration. As a result of the study, the latter method to increase the stiffness of the building was adopted. The SPL of low frequency noise near the wall was decreased.


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