Sensitivity Analysis of the Index of a Rural Municipality’s Vulnerability to Losses Resulting from Extreme Weather Events

Author(s):  
Katarzyna Kocur-Bera

Vulnerability index describes, in the form of a numerical indicator, the vulnerability of rural areas to financial losses resulting from extreme weather events. The index can also be used for the management, planning and administration of a space. A sensitivity analysis is a technique used to determine the response of the index under study to a change to either the value or the number of variables. This technique is used within specified boundaries which depend on one or more input variables. The main aim of the study was to conduct a sensitivity analysis of the vulnerability index depending on the number of variables making up this index. Results show that the excess of features under consideration results in the distortion of the level of the index of vulnerability to financial losses resulting from extreme weather events, while the determination of vulnerability on the sole basis of the arising financial losses may lead to erroneous conclusions.

Climate ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 48 ◽  
Author(s):  
Rawshan Ali ◽  
Alban Kuriqi ◽  
Ozgur Kisi

This study aimed to assess the interrelationship among extreme natural events and their impacts on environments and humans through a systematic and quantitative review based on the up-to-date scientific literature. Namely, the main goal was to add additional knowledge to the existing evidence of the impacts related to floods, droughts, and landslides on humans and the environment in China; this in order to identify knowledge gaps in research and practice to aid in improving the adaptation and mitigation measures against extreme natural events in China. In this study, 110 documents were analyzed in the evaluation of several impacts triggered by extreme events. Records were obtained from Scopus and Web of Science and examined with a text mining instrument to assess the pattern of publications over the years; the problems linked to extreme weather events were investigated, and the study gaps were discussed. This paper extends work by systematically reviewing recent evidence related to floods, droughts, and landslides in China. We listed the critical studies that focused on the impact of extreme events on both humans and the environment described in current reviews. The findings revealed that goods safety, social safety, and financial losses are of significant concern to the scientific community due to extreme natural events, which from our analysis resulted in being more frequent and intense. It is still underdeveloped to implement distant sensing and imaging methods to monitor and detect the impact of severe weather occurrences. There are still significant study gaps in the fields of the effects of extreme weather events. The analysis result shows that extreme events are increased during the time, so more in-depth investigation and efforts on adaptation, mitigation measures, and strategical governance plans are desperately required.


2021 ◽  
Vol 21 (02) ◽  
pp. 17450-17463
Author(s):  
JN Obi ◽  
◽  
AA Enete ◽  
JO Munonye ◽  
◽  
...  

The impacts of climate change risks, risk management mechanisms, and the physical environment under which farm households operate play significant roles in poverty and hidden hunger dynamics in developing countries. Extreme weather events are most often triggers of changes in risk management, which also affect the capacity of households to absorb the resultant shocks. This paper based on primary data collected as part of a PhD dissertation in the Department of Agricultural Economics, University of Nigeria, Nsukka, presents an analysis of farm households’ levels of vulnerability to extreme weather events in South-eastern Nigeria. A multistage sampling procedure was used in the selection of 120male-and 120 female-headed farm households that constituted the sample for the study. Both structured interview schedule and focus group discussion guide were used to gather data from the respondents, which were analyzed using UNDP vulnerability index. Using household adaptive capacity approach, data were collected on human, economic and institutional capacity of farmers in coping with extreme weather events. Female-headed households were more vulnerable than their male-headed counterparts to the effect of extreme weather events with respect to some of the indicators such as farming income, years of formal education, farm size, land ownership status, number of extension contacts, access to weather information, access to remittance, membership of cooperative and assistance from National Emergency Management Agency in the area. Overall, using household adaptive capacity approach, the results of the gender-based vulnerability analysis showed male-headed farming households with a vulnerability index of 0.38 while the female-headed farming households, on the other hand, had vulnerability index of 0.68. Although female-headed farm households were more vulnerable than their male counterparts, the farmers were all generally highly vulnerable to the incidence of natural disasters because of low adaptive capacity. The study recommends that government and development partners with the responsibility of protecting the environment should be gender-sensitive and redirect more effort in mitigating the negative agricultural effects caused by extreme weather events, especially among female-headed farm households who are more vulnerable.


Author(s):  
Maria Luskova ◽  
Michal Titko ◽  
Alan O'Connor

The paper is focused on understanding how failure of land transport infrastructure leads to societal vulnerability. It presents the multilevel approach to societal vulnerability measuring. The level of the societal vulnerability is expressed through the Vulnerability Index, which is calculated based on the vulnerability indicators. Identification and selection of those indicators are based on definition of vulnerability as a function of exposure, susceptibility to change and capacity to adapt to that change.


2018 ◽  
Author(s):  
Peter C. Balash, PhD ◽  
Kenneth C. Kern ◽  
John Brewer ◽  
Justin Adder ◽  
Christopher Nichols ◽  
...  

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