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The exacerbated exploitation of groundwater resources has led to an alarming decrease in groundwater levels. It is necessary to identify areas that allow for efficient recharge so that implementation of artificial groundwater recharge can be conducted in such areas with better efficiency. This study maps zones with their varying degrees of affinity for groundwater recharge in two of the sub-watersheds of the Krishna Basin.The factors affecting the potential of groundwater recharge were determined and then thematic maps for each factor were generated in ArcGIS 10.8. Remote sensing data from sources like ‘Bhuvan’ and ‘Bhukosh’ were used for the generation of the thematic layers. The Analytic Hierarchy Process (AHP) was used while deciding the relative and subsequently overall importance of each layer. The weights derived from the AHP were applied to the thematic layers and the mapping of zones for artificial groundwater recharge was done.

Examining the temporal dynamics of meteorological variables in the context of changing climate, particularly in Vijayawada, where agriculture is predominant. Therefore, the study uses trend analysis of rainfall and temperature change in Vijayawada using precipitation data obtained from Precipitation and temperature data. Data have been analysed using the coefficient of variation and standard deviation. Furthermore, the Mann-Kendall test was used to detect the time series trend. The result revealed variability of rainfall and temperature. The month-wise analysis of the temperature and precipitation trends established different unique patterns. This is due to the fact that the sensitivity of the world to climate change varies temporally and spatially. The scope of the study lies in developing the analysis to study different extreme events such as cloudbursts, heat waves, cold waves, etc. Furthermore, the spatial variations of the study can be used to establish the climate sensitivity with temporal factors.