Comparison of two multivariate classification models for contamination event detection in water quality time series

2014 ◽  
Vol 64 (5) ◽  
pp. 558-566 ◽  
Author(s):  
Nurit Oliker ◽  
Avi Ostfeld
2014 ◽  
Vol 16 (8) ◽  
pp. 2028-2038 ◽  
Author(s):  
Shuming Liu ◽  
Han Che ◽  
Kate Smith ◽  
Lei Chen

A correlative relationship between multiple types of conventional sensors can be used to detect a contamination event.


Author(s):  
Sean A. McKenna ◽  
David Hart ◽  
Katherine Klise ◽  
Victoria Cruz ◽  
Mark Wilson

2012 ◽  
Vol 46 (15) ◽  
pp. 8212-8219 ◽  
Author(s):  
Lina Perelman ◽  
Jonathan Arad ◽  
Mashor Housh ◽  
Avi Ostfeld

1993 ◽  
Vol 28 (7) ◽  
pp. 197-201 ◽  
Author(s):  
Dunchun Wang ◽  
Isao Somiya ◽  
Shigeo Fujii

To understand the algae migration characteristics in the fresh water red tide, we performed a field survey in the Shorenji Reservoir located in Nabari City, Japan. From the analysis of the field data, it is found that the patterns of vertical distributions of the indices representing biomass are very different in the morning and the afternoon. Since some water quality indices have reverse fluctuations between the surface and the bottom layer in respect of the time series changes and the total biomass of the vertical water column is relatively constant, it is concluded that vertical and daily biomass variation of red tide alga is caused by its daily migration, that is the movement from the bottom layer to the surface in the morning and the reverse movement in the afternoon.


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