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    <title>DSpace Collection:</title>
    <link>http://117.252.14.250:8080/jspui/handle/123456789/4714</link>
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        <rdf:li rdf:resource="http://117.252.14.250:8080/jspui/handle/123456789/4715" />
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    <dc:date>2026-04-10T01:03:38Z</dc:date>
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  <item rdf:about="http://117.252.14.250:8080/jspui/handle/123456789/4715">
    <title>Modeling of Gangotri Glacier melt runoff and simulation of stream flow variation under different climate scenarios</title>
    <link>http://117.252.14.250:8080/jspui/handle/123456789/4715</link>
    <description>Title: Modeling of Gangotri Glacier melt runoff and simulation of stream flow variation under different climate scenarios
Authors: Arora, Manohar; Kumar, Rakesh; Kumar, Naresh; Malhotra, Jatin
Abstract: The Himalayan Cryosphere regime plays a prominent role in controlling the regional climate&#xD;
system and maintaining the water supply to the South Asian rivers which are extremely&#xD;
important to fulfil the requirements of downstream livelihood.Understanding the mechanism&#xD;
and behaviour of Himalayan glaciers system is necessary to quantify the influence of climate&#xD;
change and future water availability. Therefore, an attempt has been made for analysing the&#xD;
hydro-meteorological conditions and hydrological modelling of streamflow (Bhagirathi&#xD;
River) for the Gangotri Glacier (Central Himalaya, India). Daily records of hydrometeorological data were collected at Bhojbasa meteorological site (near snout) during the&#xD;
ablation season (May-October) of 2014 to 2017. Asemi-distributed conceptual hydrological&#xD;
model (HBV) is used for the streamflow modelling and identification of future response &amp;&#xD;
sensitivity of the streamflow in context to climate change.The model calculates streamflow in&#xD;
the glacierized catchment gradually using five routines (Snow Routine, Glacier Routine, Soil&#xD;
Routine, Response Routine and Routing Routine). Initially, the model was calibrated using&#xD;
the available in-situ hydro-meteorological data for the period of 2014 to 2015 and further&#xD;
validated for the period of 2016 and 2017. Simulated streamflow results were validated with&#xD;
the observed records of the same period using various statistical techniques and found that&#xD;
model performed well.&#xD;
To identify the future projections of streamflow, the model was further run using the&#xD;
contrasting meteorological parameters (air temperature, precipitation and evaporation)&#xD;
obtained through referred RegCM 4.3 regional climate model for the period of 2014 to 2030&#xD;
and average sub-model conditions based on the calibrated data set. Results suggest that air&#xD;
temperature(0.2°C) and precipitation (11 mm) will follow an upliftment trend in the glacier&#xD;
valley, whereas, evaporation (0.04 mm) will follow a decline trend. This will result in slight&#xD;
increase of streamflow pattern in the Gangotri Glacier valley and an upliftment trend of 0.04&#xD;
mm will be observed by 2030</description>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
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