ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Uncertainty quantification in water resource systems modeling: Case studies from India

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).

wat_12-06_2020.pdf - Published Version

Download (2MB) | Preview
Official URL: https://dx.doi.org/10.3390/w12061793


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

Actions (login required)

View Item View Item