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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Run-off potential assessment over Indian landmass: a macro-scale hydrological modelling approach
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Run-off potential assessment over Indian landmass: a macro-scale hydrological modelling approach

机译:印度陆地径流径流潜​​力评估:宏观水文模拟方法

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The evolution of land-atmosphere-ocean models has resulted in the need for hydrologic models applicable to large areas and river basins. Such developments offer new challenges and opportunities for hydrologists to understand the hydrologic response ofareas as large as continents. In the present study, the ability of variable infiltration capacity (VIC) hydrological model has been studied to assess run-off potential and other hydrological components for entire India. VIC is a semi-distributed macroscale hydrological model designed to represent surface energy, hydrological fluxes and states at scales from large river basins to the entire globe. It is grid-based model which quantifies the dominant hydro-meteorological process taking place at the landsurface-atmospheric interface. In the present study, the model was forced with 15 years daily precipitation, maximum and minimum air temperature at daily time-step on 25 x 25 km grid. The water balance of entire India has been studied and the model results on daily, monthly and annual timescales are discussed. It was found that the VIC model results in idealistic hydrology as it takes into account a large number of parameters influencing the process. It was realized that to study such a complex hydrological interaction between land surface and atmosphere over a large region, requires enormous data; in this regard remote sensing data may play an important role. The model can easily be adopted to get primarily information on water balance at any scale.
机译:陆地-海洋-海洋模型的演变导致需要适用于大面积和流域的水文模型。这样的发展为水文学家们提供了新的挑战和机遇,以使其了解大洲地区的水文响应。在本研究中,已研究了可变渗透能力(VIC)水文模型的能力,以评估整个印度的径流潜力和其他水文要素。 VIC是一种半分布式宏观水文模型,旨在代表从大型流域到整个地球的尺度的表面能,水文通量和状态。它是基于网格的模型,用于量化在地表-大气界面发生的主要水文-气象过程。在本研究中,该模型在25 x 25 km的网格上以每天15年的每日降水,每天最大和最小气温来强迫。研究了整个印度的水平衡,并讨论了每日,每月和每年时间表的模型结果。发现VIC模型导致了理想的水文学,因为它考虑了影响过程的大量参数。人们认识到,要研究大面积土地表面与大气之间如此复杂的水文相互作用,需要大量的数据。在这方面,遥感数据可能发挥重要作用。该模型可以很容易地采用,以获取有关任何规模的水平衡的主要信息。

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