4.6 Article

Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region

Journal

SUSTAINABILITY
Volume 14, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/su14031150

Keywords

GIS; Himalayan region; SRM model; simulation; snowmelt runoff; climate change

Funding

  1. Portuguese Foundation for Science and Technology (FCT), (WinTherface) [PTDC/CTA-OHR/30561/2017]
  2. Fundação para a Ciência e a Tecnologia [PTDC/CTA-OHR/30561/2017] Funding Source: FCT

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This study used the SRM model to simulate snowmelt runoff in the Lidder River catchment in the Himalayan region under different climate change scenarios. The simulated results closely matched the observed values. It was found that increasing precipitation, temperature, and snow cover can all have significant impacts on snowmelt runoff.
Under different climate change scenarios, the current study was planned to simulate runoff due to snowmelt in the Lidder River catchment in the Himalayan region. A basic degree-day model, the Snowmelt-Runoff Model (SRM), was utilized to assess the hydrological consequences of change in the climate. The performance of the SRM model during calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R-2). The D-v was found to be 11.7, -10.1, -11.8, 1.96, and 8.6 in 2009-2014, respectively, while the respective R-2 was 0.96, 0.92, 0.95, 0.90, and 0.94. The D-v and R-2 values indicate that the simulated snowmelt runoff closely agrees with the observed values. The simulated findings were assessed under three different climate change scenarios: (a) an increase in precipitation by +20%, (b) a temperature rise of +2 degrees C, and (c) a temperature rise of +2 degrees C with a 20% increase in snow cover. In scenario (b), the simulated results showed that runoff increased by 53% in summer (April-September). In contrast, the projected increased discharge for scenarios (a) and (c) was 37% and 67%, respectively. The SRM efficiently forecasts future water supplies due to snowmelt runoff in high elevation, data-scarce mountain environments.

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