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Optimizing an estuarine water quality monitoring program through an entropy-based hierarchical spatiotemporal Bayesian framework

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Title Optimizing an estuarine water quality monitoring program through an entropy-based hierarchical spatiotemporal Bayesian framework
 
Creator ALAMEDDINE, I
KARMAKAR, S
QIAN, SS
PAERL, HW
RECKHOW, KH
 
Subject water quality
monitoring
optimization
entropy
Bayesian model
analytical hierarchical process
NEUSE RIVER ESTUARY
DAILY LOAD DEVELOPMENT
NORTH-CAROLINA
NETWORK DESIGN
MODEL
AGGREGATION
DYNAMICS
AREA
FLOW
 
Description The total maximum daily load program aims to monitor more than 40,000 standard violations in around 20,000 impaired water bodies across the United States. Given resource limitations, future monitoring efforts have to be hedged against the uncertainties in the monitored system, while taking into account existing knowledge. In that respect, we have developed a hierarchical spatiotemporal Bayesian model that can be used to optimize an existing monitoring network by retaining stations that provide the maximum amount of information, while identifying locations that would benefit from the addition of new stations. The model assumes the water quality parameters are adequately described by a joint matrix normal distribution. The adopted approach allows for a reduction in redundancies, while emphasizing information richness rather than data richness. The developed approach incorporates the concept of entropy to account for the associated uncertainties. Three different entropy-based criteria are adopted: total system entropy, chlorophyll-a standard violation entropy, and dissolved oxygen standard violation entropy. A multiple attribute decision making framework is adopted to integrate the competing design criteria and to generate a single optimal design. The approach is implemented on the water quality monitoring system of the Neuse River Estuary in North Carolina, USA. The model results indicate that the high priority monitoring areas identified by the total system entropy and the dissolved oxygen violation entropy criteria are largely coincident. The monitoring design based on the chlorophyll-a standard violation entropy proved to be less informative, given the low probabilities of violating the water quality standard in the estuary.
 
Publisher AMER GEOPHYSICAL UNION
 
Date 2014-10-17T05:47:37Z
2014-10-17T05:47:37Z
2013
 
Type Article
 
Identifier WATER RESOURCES RESEARCH, 49(10)6933-6945
0043-1397
1944-7973
http://dx.doi.org/10.1002/wrcr.20509
http://dspace.library.iitb.ac.in/jspui/handle/100/16105
 
Language en