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Nagaland University Publishes Benchmark Runoff Dataset and Planning Tool for NE Himalayas

The peer-reviewed study urges more instrumented catchments to strengthen flood forecasting in fragile hill watersheds.

Overview

  • Researchers K. Belho, M. S. Rawat and Pradeep Kumar Rawat monitored four Kohima-district watersheds using GIS with systematic field hydrology.
  • The project produced continuous stream-discharge records across dense and open forests, agricultural areas and urban landscapes, filling a key regional data gap.
  • Findings show intact forests absorb rainfall and sustain sub-surface flows in dry months, whereas urbanized terrain drives high monsoon runoff and lower lean-season flows.
  • Authors introduced a four-zone runoff classification—low, moderate, high and very high—to guide water-resource planning, flood mitigation and integrated watershed management.
  • The work, funded by a Nagaland University Non-NET Fellowship with Ministry of Tribal Affairs support and published in the International Journal of Geographic Information System Research and Development, includes a call for long-term monitoring sites across the Himalayas.