Punjab Faces Worst August Floods in 25 Years with 74% Excess Rainfall

Fast Summary

  • Punjab and Haryana Rainfall Spike: punjab recorded 253.7 mm rainfall in August, 74% above normal, its highest in 25 years. Haryana experienced a 32% increase over its average, receiving 194.5 mm.
  • District-Wise Distribution: In Punjab, excessive rainfall was noted in 18 out of 23 districts; similarly, Haryana saw excess rain in most districts accept four with deficient figures.
  • Chandigarh’s Rain Levels: The shared capital received an increased rainfall of 308.5 mm (8% above seasonal norms).
  • Flood Impacts Across Punjab: Rivers Sutlej,Beas,Ravi and their tributaries overflowed due to heavy rains from adjoining states like Himachal Pradesh and Jammu & Kashmir. Floods heavily impacted Gurdaspur,Pathankot,Fazilka among other districts.
  • Specific Districts Highlighted:

– Gurdaspur witnessed a massive rise at 577.5 mm (181% above normal).
– Pathankot recorded the highest spike with total rainfall reaching 944.2 mm (152% more than average).- Other notable spikes were seen in Ferozepur (129%),Tarn Taran (139%),Fazilka (115%),and Hoshiarpur (74%).Read More


Indian opinion Analysis

The unusually high levels of rainfall across Punjab and Haryana mark a rare meteorological pattern not observed frequently over the last two decades-a fact underscored by Met Department data indicating excess rainfall onyl five times within this period.

From an environmental standpoint, such extreme precipitation events highlight shifts caused possibly by larger climatic changes or regional weather anomalies originating from nearby catchment areas like Himachal Pradesh or Jammu & Kashmir that also reported record levels this season.

For India’s agricultural backbone states like Punjab and Haryana-already grappling with water management issues-these floods underscore vulnerabilities within infrastructure systems meant to handle such hydrological extremes effectively.

The immediate concern will likely be on flood relief efforts while long-term planning might see reinforcement upgrades both institutional i.e dam-controlled areas needing interventions_widgets While strides vs efficient partnership]<=clear

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