Abstract

Himalayan rivers originating generally from >4000 masl, sustain large number of population downstream. However, these river basins are highly data scarce, and in situ data for hydro-meteorological parameters is available mainly from the regions below 2000 masl. Considering the high level of human dependence on these rivers, it is important to develop policies and plans based on the hydrology of these rivers. Thus it is important to quantify the contribution of various runoff components like snow and ice melt, baseflow, etc. This paper has used conceptual hydrological model, HBV model to estimate the composition and contribution of various runoff components, for the Chenab river basin, Western Himalayas. Similar to hydrological modelling results for other basins of western Himalayas, this study shows that snow and ice melt contribution is significant in the basin and ranges between 40–66% of the total runoff in different seasons. During the post monsoon period, baseflow sustains the perennial nature of river. This research attempts to quantify the seasonal contributions to river runoff and provides valuable insights into hydrological processes operating in this high altitude hydrological catchment to facilitate improved management of water resources in the basin. The study further outlines the uncertainty in simulating low flows in ungauged catchments being fed by snow/ice melt.

中文翻译：

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喜马拉雅山西非积雪集水区的水文过程建模

摘要

喜马拉雅河通常起源于> 4000马尔斯河，在下游支撑着大量人口。但是，这些流域的数据高度缺乏，主要从2000马氏以下的地区可获得水文气象参数的原位数据。考虑到人类对这些河流的高度依赖，重要的是根据这些河流的水文状况制定政策和计划。因此，量化雪，冰融化，底流等各种径流成分的贡献很重要。本文使用了概念性水文模型，HBV模型来估算西部的Chenab流域的各种径流成分的组成和贡献。喜马拉雅山。与喜马拉雅山西部其他盆地的水文模拟结果相似，这项研究表明，在该流域，冰雪融化的贡献很大，在不同季节占总径流量的40-66％。在季风后时期，基流维持了河流的常年性。这项研究试图量化对河流径流的季节性贡献，并为该高海拔流域的水文过程提供有价值的见解，以促进流域水资源的改善管理。这项研究进一步概述了在模拟雪/冰融化喂养的未覆盖流域的低流量时的不确定性。这项研究试图量化对河流径流的季节性贡献，并为该高海拔水文流域的水文过程提供有价值的见解，以促进流域水资源的改善管理。这项研究进一步概述了在模拟雪/冰融化喂养的未覆盖流域的低流量时的不确定性。这项研究试图量化对河流径流的季节性贡献，并为该高海拔流域的水文过程提供有价值的见解，以促进流域水资源的改善管理。这项研究进一步概述了在模拟雪/冰融化喂养的未覆盖流域的低流量时的不确定性。