Application of statistical modeling to optimize a coastal water quality monitoring program

2007 ◽  
Vol 137 (1-3) ◽  
pp. 505-522 ◽  
Author(s):  
Carlton D. Hunt ◽  
Steven W. Rust ◽  
Lorraine Sinnott
Shore & Beach ◽  
2021 ◽  
pp. 26-35
Author(s):  
Angelos Hannnides ◽  
Nicole Elko ◽  
Tiffany Roberts Briggs ◽  
Sung-Chan Kim ◽  
Annie Mercer ◽  
...  

Coastal water quality is an important factor influencing public health and the quality of our nation’s beaches. In recent years, poor water quality has resulted in increased numbers of beach closures and corresponding negative impacts on tourism. This paper addresses some of the issues surrounding the management challenge of coastal water quality, in particular, beach water quality monitoring. For this effort, data on beach water quality monitoring activities conducted by states were assessed and synthesized. In total, 29 states were surveyed: 16 reported information for seawater; six reported for freshwater only; eight reported for both seawater and freshwater. Thresholds for advisories and closure vary nationally; however, all 29 states have established an online presence for their monitoring programs and display advisories and closures in real time, most often on spatial information (GIS) portals. Challenges in monitoring, prediction, and communication are assessed and discussed. Based on this assessment, the committee offers the following recommendations, as detailed in the text: • Standardization of water quality data and the distribution medium; • Enhanced public access to water quality monitoring data; • Consistent thresholds for swim advisories; • Water quality regulation reviews with stakeholder participation; • Enhanced predictive models incorporating rapid testing results; • Holistic water quality monitoring that includes indicators beyond fecal indicator bacteria; • Managing contaminants of emerging concern through identification, monitoring and control; and • Funding for water quality monitoring and reporting -- from federal, state, and local governments.


2015 ◽  
Vol 116 ◽  
pp. 955-962 ◽  
Author(s):  
Pravakar Mishra ◽  
Uma Sankar Panda ◽  
Umakanta Pradhan ◽  
C. Saravana Kumar ◽  
Subrat Naik ◽  
...  

2014 ◽  
Vol 51 (2) ◽  
pp. 158-174 ◽  
Author(s):  
Yong Hoon Kim ◽  
Jungho Im ◽  
Ho Kyung Ha ◽  
Jong-Kuk Choi ◽  
Sunghyun Ha

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
N. A. P. Rostam ◽  
N. H. A. H. Malim ◽  
R. Abdullah ◽  
A. L. Ahmad ◽  
B. S. Ooi ◽  
...  

Author(s):  
Chad Crain ◽  
Keith Kezer ◽  
Syreeta Steele ◽  
Judith Owiti ◽  
Sphoorthy Rao ◽  
...  

2018 ◽  
Vol 79 (5) ◽  
pp. 799-807 ◽  
Author(s):  
Akechai Kongprajug ◽  
Namfon Booncharoen ◽  
Kanyaluck Jantakee ◽  
Natcha Chyerochana ◽  
Skorn Mongkolsuk ◽  
...  

Abstract Coastal water quality is deteriorating worldwide. Water quality monitoring is therefore essential for public health risk evaluation and the management of water bodies. This study investigated the feasibility of using bacteriophages of Enterococcus faecalis as sewage-specific faecal indicators, together with physicochemical (dissolved oxygen, pH, temperature and total suspended solids) and biological parameters, to assess coastal water quality using multivariate analysis incorporating non-detects. The principal component and cluster analyses demonstrated that coastal water quality was mostly influenced by biological parameters, including Escherichia coli and total coliforms, which were found in all 31 sampling sites, and enterococci, which was found in all but two sampling sites. The enterococcal bacteriophages AIM06 and SR14 were detected in 17 and 18 samples at concentrations up to 1,815 and 2,790 PFU/100 mL, respectively. Both bacteriophages co-presented in approximately 80% of phage-positive samples, and the concentrations at each site were not significantly different. Overall, either bacteriophage could be used to differentiate high- and low-level coastal water pollution, as grouped by cluster analysis. This study is the first to investigate the suitability of sewage-specific bacteriophages of E. faecalis for monitoring coastal water quality and emphasises the importance of a multivariate analysis with non-detects to facilitate coastal water quality monitoring and management.


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