Rehana, S and Rajulapati, CR and Ghosh, S and Karmakar, S and Mujumdar, P (2020) Uncertainty quantification in water resource systems modeling: Case studies from India. In: Water (Switzerland), 12 (6).
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Abstract
Regional water resource modelling is important for evaluating system performance by analyzing the reliability, resilience and vulnerability criteria of the system. In water resource systems modelling, several uncertainties abound, including data inadequacy and errors, modeling inaccuracy, lack of knowledge, imprecision, inexactness, randomness of natural phenomena, and operational variability, in addition to challenges such as growing population, increasing water demands, diminishing water sources and climate change. Recent advances in modelling techniques along with high computational capabilities have facilitated rapid progress in this area. In India, several studies have been carried out to understand and quantify uncertainties in various basins, enumerate large temporal and regional mismatches between water availability and demands, and project likely changes due to warming. A comprehensive review of uncertainties in water resource modelling from an Indian perspective is yet to be done. In this work, we aim to appraise the quantification of uncertainties in systems modelling in India and discuss various water resource management and operation models. Basic formulation of models for probabilistic, fuzzy and grey/inexact simulation, optimization, and multi-objective analyses to water resource design, planning and operations are presented. We further discuss challenges in modelling uncertainties, missing links in integrated systems approach, along with directions for future.
| Item Type: | Journal Article |
|---|---|
| Publication: | Water (Switzerland) |
| Publisher: | MDPI AG |
| Additional Information: | The copyright of this article belongs to MDPI AG |
| Keywords: | Climate change; Population statistics; Water management, Computational capability; Modelling techniques; Multi-objective analysis; Regional water resources; Uncertainty quantifications; Water availability and demand; Water resource systems; Waterresource management, Uncertainty analysis |
| Department/Centre: | Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 21 Aug 2020 10:30 |
| Last Modified: | 21 Aug 2020 10:30 |
| URI: | http://eprints.iisc.ac.in/id/eprint/66049 |
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