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The average vulnerability indices calculated using all the indicators of vulnerability are going to measure households' vulnerability levels, which are influenced by each indicator.
Deressa et al. (2008) and Opiyo et al. (2014) also used vulnerability indices based on a set of indicators from the literatures to measure household's vulnerability to climate-induced stresses by farmers and pastoralists in Ethiopia and Kenya, respectively.
The integrated vulnerability assessment approach was adopted to combine these socio economic and biophysical indicators so as to develop vulnerability indices on the basis of formative measurement model (IPCC 2007; Hahn et al. 2009; Temesgen 2010).
Likewise, the livelihood vulnerability indices (LVIs) calculated for agricultural land and climatic exposure indicators revealed that households are increasingly vulnerable to climate change risks.
It also indicates the importance of customizing social vulnerability indices according to different scenarios and levels of development.
The indicators can be combined to produce composite vulnerability indices that can also be mapped.
The DRASTIC indices of the corresponding points were determined from vulnerability index map (Fig. 4). Figure 5 clearly indicates that the trends of nitrate concentration and vulnerability indices were matched closely in most of the occasions except a few.
Likewise, the livelihood vulnerability indices (LVI) have put the households to the most vulnerable position in almost all agricultural land indicators and climatic variables.
Face to face interviews were used to collect data on vulnerability indices from the farmers.
This index is designed to be used with economic and social vulnerability indices to provide insights into the processes that can negatively influence the sustainable development of countries.
The anthropogenic factors (e.g., water demand) and Environmental Flow Requirement EFRR) information are incorporated to quantify the water security in terms of scarcity and vulnerability indices.
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