GEOSPATIAL ANALYSIS OF RAINFALL TRENDS AND VARIABILITY OVER ARID REGIONS OF TELANGANA STATE, INDIA: A CASE STUDY
DOI:
https://doi.org/10.55766/sujst5819Keywords:
Climate Variability, Geomatics, Mann-Kendall’s test, Sen’s Slope, Trend AnalysisAbstract
Climate change, particularly the unpredictability of rainfall, has received considerable global attention due to its significant impact on livelihoods, health, and future sustainability. Understanding how the climate is changing is essential for enhancing adaptability. The extent of variability in climate components differs by location. Examining the spatial-temporal dynamics of meteorological variables is thus critical for analyzing climate-induced changes and recommending practical adaptation strategies, especially in developing countries like India, where rainfed agriculture is predominant. This study investigates long-term precipitation changes in the humid and sub-humid zones of Telangana’s Saroor Nagar, Hayat Nagar, Uppal, and Ghatkesar Mandals. A trend analysis of seasonal rainfall-pre-monsoon (March-May), monsoon (June-September), post-monsoon (October-December), and winter (January-February) and annual rainfall is conducted at regional and temporal scales. Annual rainfall ranges from 512-1478 mm in Saroor Nagar, 426-1548 mm in Hayat Nagar, 429-1268 mm in Uppal, and 409-1473 mm in Ghatkesar. The Mann-Kendall test, applied at the 5% significance level, assesses rainfall trends from 2008 to 2020, revealing both increasing and decreasing trends. The inverse distance weighted (IDW) interpolation technique is used to assess spatial rainfall patterns. IDW results help identify rainfall variability across space and time, particularly in areas with limited or low-quality data. These spatial maps offer valuable insights for water resource planning in the face of climate change.
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