Singh, Deepesh, and Datta, Bithin (2021) Sequential Characterization of Contaminant Plumes Using Feedback Information. In: Chauhan, Manvendra Singh, and Ojha, Chandra Shekar Prasad, (eds.) The Ganga River Basin: A Hydrometeorological Approach. Society of Earth Scientists Series . Springer, Cham, Switzerland, pp. 21-35.

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Abstract

In many practical field problems, it may not be possible to identify the actual characteristics (location, magnitude and duration of contamination) of the groundwater contaminant sources in a contaminated aquifer. Also, most of the time, very sparse information regarding spatiotemporal contaminant concentration is available initially, which is inadequate for reliable identification and simulation of the contaminant plume. Simulation of the contaminant plume movement is necessary to predict the future distribution of the contaminant in the groundwater aquifer. Reliable simulation and prediction are also essential for developing an efficient contamination monitoring strategy. To address this practical problem of data inadequacy, an interactive methodology is proposed, incorporating the sequential design of optimal monitoring networks. These sequentially developed and implemented monitoring networks provide feedback information on measured concentrations. This measurement information helps in progressively improving the prediction of the contaminant plume, starting with very sparse initial information about the contaminant sources and spatial distribution of concentration. The proposed methodology is based on an optimization model that utilizes feedback information obtained from sequentially designed contaminant monitoring sites to sequentially characterize the contaminant plume when adequate initial concentration measurements are not available, and the contaminant sources are unknown.

Item ID:	78014
Item Type:	Book Chapter (Research - B1)
ISBN:	978-3-030-60869-9
Copyright Information:	© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Date Deposited:	21 Jun 2023 23:11
FoR Codes:	40 ENGINEERING > 4005 Civil engineering > 400513 Water resources engineering @ 100%
SEO Codes:	18 ENVIRONMENTAL MANAGEMENT > 1803 Fresh, ground and surface water systems and management > 180306 Measurement and assessment of freshwater quality (incl. physical and chemical conditions of water) @ 100%
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