Spatiotemporal variability in shifting wetness pattern in Mizoram

Authors

  • Saurav Saha ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • Debasish Chakraborty ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
  • Bappa Das ICAR-Central Coastal Agricultural Research Institute, Old Goa, India
  • Sandip Sadhu Directorate General of Commercial Intelligence & Statistics, Kolkata, West Bengal, India
  • Samik Chowdhury ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • I. Shakuntala ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • Sunil Doley ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • Lungmuana . ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • Vishambhar Dayal ICAR Research Complex for NEH Region, Mizoram centre, Kolasib, Mizoram, India
  • Samuel Lalliansanga Department of Agriculture, Government of Mizoram, Aizawl, India
  • Burhan Uddin Choudhury ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
  • Anup Das ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
  • V K Misha ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
  • H. Saithantluanga Department of Agriculture, Government of Mizoram, Aizawl, India

DOI:

https://doi.org/10.54302/2x977b78

Abstract

The spatiotemporal variability in rainfall pattern unveiled the crucial juncture for understanding the wetness variability under hilly topography of North East Indian state of Mizoram. Unlike rainfall, the Standardized Precipitation Index (SPI) may be used as the effective and most widely adapted indicator for regional wetness variability studies that follows normal distribution. We observed significant spatial variability in periodicity (8-64 months) and abrupt shift in wetness pattern (late 1990s) across the North East Indian state of Mizoram. Finally, we classified the raingauge stations based on hierarchical clustering and principal component analysis (PCA) technique for their effective use in missing data interpolation studies and effective policy planning through rational wetness zoning across the Lusei hill region of Mizoram in near future.

Downloads

Download data is not yet available.

Downloads

Published

2026-01-01

How to Cite

[1]
“Spatiotemporal variability in shifting wetness pattern in Mizoram”, MAUSAM, vol. 77, no. 1, pp. 301–308, Jan. 2026, doi: 10.54302/2x977b78.

Most read articles by the same author(s)