A Systematic Scheme for Non-parametric Spatio-Temporal Trend Analysis about Aridity Index

The Spatio temporal scale varying characteristics of aridity and thus the dominance of this method within the present year is notable due to global climate change during this investigation, we proposed to work out the trend of the Aridity index using non-parametric methods like Mann-Kendall and Sen's slope approaches for testing. In Contrast, the Aridity index is computed by using Jensen formula to formulate, which is worldwide accepted. At the same time, ETo can be calculated using the well-known scheme by the Food and Agriculture Organization (FAO) through Penman-Monteith FAO-56 (PM). We used 10-year data (2000-2009) of 12 climate locations positioned in Khyber Pakhtunkhwa (KP) Province, Pakistan. We acknowledged an increasing drift within the Aridity index rate had been observed mostly in spring, summer, and winter, with a downward tendency through fall. Furthermore, the statistical investigation demonstrations an increasing drifts in AI during spring and winter. In conclusion, we presented an efficient procedure which may, therefore, benefit by including in irrigation, water resource management, and meteorological modeling for future enlargement.