| Popis: |
Climate change is one of the most important global environmental challenges at global, national and regional level. The resultant global warming due to increase in temperature by 1.5°C in the near-term (2021-2040) can cause unavoidable increase in multiple climate hazards and present unknown challenges facing humanity with implications for food production, natural ecosystems, freshwater supply, health, etc. In this context, an analysis was carried out to identify trends in temperature over time series at Madhira, Khammam district in Telangana. In this trend analysis study, the annual average maximum temperature value of skewness was asymmetric and left skewed. The annual mean and maximum temperatures were significant with long-term increasing trend. In the pre monsoon season, maximum and mean temperature showed significant increase in trends in by all methods i.e., M-K (Mann – Kendall), Spearman's Rho and Linear regression tests. But minimum temperature showed non-significant increasing trend. Here interestingly, monsoon season showed non-significance increase in temperature trends in all three mentioned tests. The mean of monthly maximum temperature increased at a faster rate than the average and minimum temperature. The linear regression equation indicated positive slope and R2 was 27.0% of variability for mean annual temperature. |
