Appraisal of the heat vulnerability index in Punjab: a case study of spatial pattern for exposure, sensitivity, and adaptive capacity in megacity Lahore, Pakistan

2019 ◽  
Vol 63 (12) ◽  
pp. 1669-1682 ◽  
Author(s):  
Syeda Samee Zuhra ◽  
Amtul Bari Tabinda ◽  
Abdullah Yasar
Author(s):  
Suresh Kumar Rathi ◽  
Soham Chakraborty ◽  
Saswat Kishore Mishra ◽  
Ambarish Dutta ◽  
Lipika Nanda

Extreme heat and heat waves have been established as disasters which can lead to a great loss of life. Several studies over the years, both within and outside of India, have shown how extreme heat events lead to an overall increase in mortality. However, the impact of extreme heat, similar to other disasters, depends upon the vulnerability of the population. This study aims to assess the extreme heat vulnerability of the population of four cities with different characteristics across India. This cross-sectional study included 500 households from each city across the urban localities (both slum and non-slum) of Ongole in Andhra Pradesh, Karimnagar in Telangana, Kolkata in West Bengal and Angul in Odisha. Twenty-one indicators were used to construct a household vulnerability index to understand the vulnerability of the cities. The results have shown that the majority of the households fell under moderate to high vulnerability level across all the cities. Angul and Kolkata were found to be more highly vulnerable as compared to Ongole and Karimnagar. Further analysis also revealed that household vulnerability is more significantly related to adaptive capacity than sensitivity and exposure. Heat Vulnerability Index can help in identifying the vulnerable population and scaling up adaptive practices.


Public Health ◽  
2018 ◽  
Vol 161 ◽  
pp. 127-137 ◽  
Author(s):  
S.G. Nayak ◽  
S. Shrestha ◽  
P.L. Kinney ◽  
Z. Ross ◽  
S.C. Sheridan ◽  
...  

Author(s):  
S. Ajmal ◽  
T. Paul Lazarus ◽  
Aswathy Vijayan ◽  
Brigit Joseph ◽  
R. V. Manju

The vulnerability of farmers to climate variability is an important topic of discussion. It varies depending upon diverse factors that disturbing it, likewise, the extent of vulnerability varies according to different levels, i.e.; from a whole country level to an individual level or in other words from macro to micro level. This study attempts to build a framework for the assessment of the microlevel vulnerability of farmers. A vulnerability index was made from normalized values of three major component indices (sensitivity, exposure, and adaptive capacity), which is made up of a selected number of sub components. The study was conducted by selecting respondents from two districts of Kerala, and it was found that this method can be used as an empirical method to interpret the vulnerability to climate variability, keeping the fact that it is only a constrained measure of risk.


2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Visilya Faniza ◽  
Wisnu Pradoto

The aim of this paper is to examine the socio-ecological vulnerability and the resulting in spatial pattern on a city scale. The assessment methods for vulnerability-resilience in the social and ecological have been broadly examined, such as the Environmental Vulnerability Index (EVI) and disaster risk assessment by the BNPB (Badan Penanggulangan Bencana Nasional). However, in some cases, these methods are suitable only in disastrous vulnerability and on a larger scale. The assessment method of socio-ecological systems in this paper has been modified to a city-scale and per the data availability. By using spatial data, this paper analyses the connection between vulnerability-resilience of socio-ecological systems and land coverage pattern. Based on the case study, the finding shows that almost 28% of Semarang city areas are socio-ecologically vulnerable. Mostof the land use of the vulnerable areas is currently used for urban built-up area and agriculture. For future research, this method can be used for vulnerability assessment of the socio-ecological system in other cities and as a consideration for decision making in spatial planning.


2019 ◽  
Vol 13 (2) ◽  
pp. 249-258
Author(s):  
Valentin Răileanu ◽  
Maria Nedealcov ◽  
Galina Mîndru ◽  
Rodica Cojocari ◽  
Olga Crivova

Republic of Moldova’s territory’s Livelihood Vulnerability Index (LVI), calculated from exposure, sensitivity and adaptive capacity to climate risks, is presented. Extreme values of climate risk factors, water supply, and statistical data on socio-demographic profile were used as the initial data. As a case study, LVI and its components for the Cogâlnic River’s basin within the limits of Republic of Moldova’s boundaries was extracted from the obtained maps.


2015 ◽  
Vol 49 (19) ◽  
pp. 11303-11311 ◽  
Author(s):  
Kathryn Bradford ◽  
Leslie Abrahams ◽  
Miriam Hegglin ◽  
Kelly Klima

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