Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region

Rohitashw Kumar
ORCID logo ,
Saika Manzoor
,
Dinesh Kumar Vishwakarma
* ORCID logo ,
N. L. Kushwaha
ORCID logo ,
Ahmed Elbeltagi
* ORCID logo ,
Kallem Sushanth
ORCID logo ,
Alban Kuriqi
* ORCID logo
Version 1 : Received: 10 December 2021 / Approved: 13 December 2021 / Online: 13 December 2021 (16:06:43 CET)

A peer-reviewed article of this Preprint also exists.

Kumar, R.; Manzoor, S.; Vishwakarma, D.K.; Al-Ansari, N.; Kushwaha, N.L.; Elbeltagi, A.; Sushanth, K.; Prasad, V.; Kuriqi, A. Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region. Sustainability 2022, 14, 1150. Kumar, R.; Manzoor, S.; Vishwakarma, D.K.; Al-Ansari, N.; Kushwaha, N.L.; Elbeltagi, A.; Sushanth, K.; Prasad, V.; Kuriqi, A. Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region. Sustainability 2022, 14, 1150.

Abstract

The current study was planned to simulate runoff due to the snowmelt in the Lidder River catchment of Himalayan region under climate change scenarios. A basic degree-day model, Snowmelt-Runoff Model (SRM) was utilized to assess the hydrological consequences of change in climate. The SRM model performance during the calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found as 11.7, -10.1, -11.8, 1.96, and 8.6 during 2009-2014, respectively, while the R2 is 0.96, 0.92, 0.95, 0.90, and 0.94, respectively. The Dv and R2 values indicating that the simulated snowmelt runoff has a close agreement with the observed value. The simulated findings were also assessed under the different scenarios of climate change: a) increases in precipitation by +20 %, b) temperature rise of +2 °C, and c) temperature rise of +2 °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. In high elevation data-scarce mountain environments, the SRM is efficient in forecasting future water supplies due to the snowmelt runoff.

Keywords

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

Subject

Engineering, Automotive Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (0)

Comment 1
Received: 26 December 2021
Commenter: Nayeeem Ahmad
The commenter has declared there is no conflict of interests.
Comment: This paper has significant content similarity with respect to the article published in 2015 titled "Implications of Shrinking Cryosphere Under Changing Climate on the Streamflows in the Lidder Catchment in the Upper Indus Basin, India, Arctic, Antarctic, and Alpine Research, 47:4, 627-644". You may look into it and do the course correction
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