scholarly journals Cultivating Bioliteracy, Biodiscovery, Data Literacy, and Ecological Monitoring in Undergraduate Courses with iNaturalist

2021 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Colleen Hitchcock ◽  
Jon Sullivan ◽  
Kelly O’Donnell
Keyword(s):  
Ecological Monitoring ◽  
Data Literacy

ECOLOGICAL MONITORING OF SOME TERRITORIES OF THE AZERBAIJAN

2020 ◽  
Vol 2 (2) ◽  
pp. 18-21
Author(s):  
S. Hajiyeva ◽  
◽  
E. Gadirova ◽  
A. Musayeva
Keyword(s):  
Ecological Monitoring

Modeling and Assessment of the Produced Water Discharges from Offshore Petroleum Platforms

2007 ◽  
Vol 42 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Zhi Chen ◽  
Lin Zhao ◽  
Kenneth Lee ◽  
Charles Hannath
Keyword(s):  
Random Walk ◽  
Produced Water ◽  
Model Development ◽  
Three Dimensional ◽  
Monitoring Program ◽  
Ecological Monitoring ◽  
Numerical Approach ◽  
Ocean Model ◽  
Scale Model ◽  
Water Stream

Abstract There has been a growing interest in assessing the risks to the marine environment from produced water discharges. This study describes the development of a numerical approach, POM-RW, based on an integration of the Princeton Ocean Model (POM) and a Random Walk (RW) simulation of pollutant transport. Specifically, the POM is employed to simulate local ocean currents. It provides three-dimensional hydrodynamic input to a Random Walk model focused on the dispersion of toxic components within the produced water stream on a regional spatial scale. Model development and field validation of the predicted current field and pollutant concentrations were conducted in conjunction with a water quality and ecological monitoring program for an offshore facility located on the Grand Banks of Canada. Results indicate that the POM-RW approach is useful to address environmental risks associated with the produced water discharges.

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