Hydrologic modelling

Mondal, Arpita ; Narasimhan, Balaji ; Sekhar, Muddu ; Mujumdar, P. P. (2016) Hydrologic modelling Proceedings of the Indian National Science Academy - Part A: Physical Sciences, 82 (3). pp. 817-832. ISSN 0370-0046


Related URL: http://dx.doi.org/10.16943/ptinsa/2016/48487


Advances in computational tools and modeling techniques combined with enhanced process knowledge have, in recent decades, facilitated a rapid progress in hydrologic modeling. From the use of traditional lumped models, the hydrologic science has moved to the much more complex, fully distributed models that exude an enhanced knowledge of hydrologic processes. Despite this progress, uncertainties in hydrologic predictions remain. The Indian contribution to hydrologic science literature in the recent years has been significant, covering areas of surface water, groundwater, climate change impacts and quantification of uncertainties. Future scientific efforts in hydrologic science in India are expected to involve better, more robust observation techniques and datasets, deeper process-knowledge at a range of spatio-temporal scales, understanding links between hydrologic and other natural and human systems and integrated solutions using multidisciplinary approaches.

Item Type:Article
Source:Copyright of this article belongs to Indian National Science Academy.
Keywords:Hydrologic Modelling; Surface Water; Groundwater; Climate Change; Uncertainties
ID Code:103105
Deposited On:09 Mar 2018 11:32
Last Modified:09 Mar 2018 11:32

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