A Day at the Beach: Enabling Coastal Water Quality Prediction with High-Frequency Sampling and Data-Driven Models

2021 ◽  
Vol 55 (3) ◽  
pp. 1908-1918
Author(s):  
Ryan T. Searcy ◽  
Alexandria B. Boehm
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
High Frequency ◽  
Data Driven ◽  
Quality Prediction ◽  
Water Quality Prediction ◽  
Coastal Water Quality ◽  
Frequency Sampling ◽  
High Frequency Sampling

Data-driven water quality prediction in chloraminated systems

2020 ◽  
Vol 5 (4) ◽  
pp. 1-19
Author(s):  
Andrew Peters ◽  
Bin Liang ◽  
Hongda Tian ◽  
Zhidong Li ◽  
Corinna Doolan ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Delivery System ◽  
Hydraulic System ◽  
Data Driven ◽  
Quality Prediction ◽  
Key Factors ◽  
Water Quality Prediction ◽  
Parametric Decay ◽  
Upstream Reservoir

This paper proposes a data-driven method that provides water quality prediction within the entire Woronora delivery system in Sydney. Specifically, the key factors relating to water quality are identified through factor analysis. A Bayesian parametric decay model is formulated using the key factors to predict water quality. To estimate the water travel time, which links the upstream (reservoir) data to the downstream (resident) data, the hydraulic system is employed to capture the topology of the delivery system. Moreover, the uncertainties of both data and the model are analysed to define the boundaries of prediction for better decision making.

ADCP Application for Long Term Monitoring of Coastal Water Quality

2001 ◽  
Author(s):  
Hiroshi Yoshioka ◽  
Tomotsuka Takayama ◽  
Yoshitaka Tanabe ◽  
Nobuaki Shiraishi
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Coastal Water Quality ◽  
Long Term Monitoring ◽  
Term Monitoring
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