Village level inherent vulnerability of Champhai district to climate change: Water Resources Approach
Lalthanpuia1,3, John Zothanzama2, ST Lalzazovi3, Samuel Lalmalsawma1 and O.P. Tripathi3
1Mizoram Science, Technology &Innovation Council MISTIC, Aizawl, Mizoram-796001 India 2Department of Biotechnology, Mizoram University, Aizawl - 796004 India 3Department of Environmental Science, Mizoram University, Aizawl- 796004 India Email: lalthanpuia24@gmail.com
ABSTRACT
All together, 86 villages are present in the studyarea and from the data, composite vulnerability index CVI was calculated from aggregation of their respective scores in each indicator. The vulnerability ranks of selected villages are prepared based on the CVI values of respective villages. Dilkawn village rank the most vulnerable and Hnahlan village is the least vulnerable village in the study area. Among all other villages, it has comparatively highest sensitivity and least adaptive capacity. Conversely, village among all the villages targeted for the study. It is important to note that to rank districts based on CVI values are inherently comparative as well as relative. To understand the distribution of CVI values across all villages which are relative to each other, values are categorized in to high, medium and low using percentile method. Twenty nine villages are ranked under high vulnerable categories and 28 villages having low vulnerability. It is essential to understand that vulnerability category is simply a division rather than an actual category; the percentile method offers a simple and intuitive way to understand the relative position ofa value within a dataset and is valuable for making comparisons and interpreting data distributions. Drivers of vulnerability are calculated in a way that the normalised value of all villages in one indicator is averaged. The process is repeated for all the indicators resulting in each indicator having their respective averaged values for all villages. The percent contribution of the average value of an indicator across all districts to the sum of average valuesforeach indicator across all districts is regarded as the magnitude of that indicator in overall vulnerability.