"Spatial and Temporal Analysis of Rainfall Variability in Pune District Using GIS Techniques (1990–2020)"

Abstract: This study investigates the spatial and temporal variability of rainfall in Pune District, Maharashtra, over the period 1990–2020, using high-resolution (0.25° × 0.25°) gridded rainfall data from the India Meteorological Department. The analysis applies the non-parametric Mann–Kendall test to detect the direction and statistical significance of rainfall trends at monthly scales, and uses GIS-based IDW interpolation to map their spatial distribution. Results reveal pronounced spatial heterogeneity, with generally increasing rainfall trends in the western and north-western parts of the district, influenced by the Western Ghats, and decreasing or weak trends in several eastern and central areas lying in the rain-shadow zone. Monthly patterns show considerable variation, reflecting the complex interaction of topography and monsoon dynamics. The findings provide a detailed, grid-level understanding of rainfall behavior and can support more effective agricultural planning, water-resource management, and climate-adaptation strategies in the region.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23009804
Primary Topic
Precipitation Measurement and Analysis
Type
article
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"Spatial and Temporal Analysis of Rainfall Variability in Pune District Using GIS Techniques (1990–2020)"

V.R. Ugale, P.P Jaygade
Zenodo (CERN European Organization for Nuclear Research)
Precipitation Measurement and Analysis
article

"Spatial and Temporal Analysis of Rainfall Variability in Pune District Using GIS Techniques (1990–2020)"

V.R. Ugale, P.P Jaygade
article en

Abstract

Abstract: This study investigates the spatial and temporal variability of rainfall in Pune District, Maharashtra, over the period 1990–2020, using high-resolution (0.25° × 0.25°) gridded rainfall data from the India Meteorological Department. The analysis applies the non-parametric Mann–Kendall test to detect the direction and statistical significance of rainfall trends at monthly scales, and uses GIS-based IDW interpolation to map their spatial distribution. Results reveal pronounced spatial heterogeneity, with generally increasing rainfall trends in the western and north-western parts of the district, influenced by the Western Ghats, and decreasing or weak trends in several eastern and central areas lying in the rain-shadow zone. Monthly patterns show considerable variation, reflecting the complex interaction of topography and monsoon dynamics. The findings provide a detailed, grid-level understanding of rainfall behavior and can support more effective agricultural planning, water-resource management, and climate-adaptation strategies in the region.

Zenodo (CERN European Organization for Nuclear Research)
Abasaheb Garware College (IN)
Zero hunger, Climate action
Openalex Percentile: Top 16%
Precipitation Measurement and Analysis
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"Spatial and Temporal Analysis of Rainfall Variability in Pune District Using GIS Techniques (1990–2020)" — V.R. Ugale, P.P Jaygade · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS