Back to Search
Start Over
Development of an Air–Water Temperature Relationship Model to Predict Climate-Induced Future Water Temperature in Estuaries
- Source :
- Journal of Environmental Engineering. 138:570-577
- Publication Year :
- 2012
- Publisher :
- American Society of Civil Engineers (ASCE), 2012.
-
Abstract
- To predict climate-induced change in aquatic environments, it is necessary to understand the thermal constraints of various fish species and to understand the timing of current and projected coastal temperatures. This paper presents a newly developed model of the relationship between air and water temperature that was constructed on the basis of harmonic analysis. The model is novel because it requires only a single variable (air temperature) to predict water temperature and captures the hysteresis patterns of the rising and falling limbs and their historic memories. The model was calibrated and validated with data collected from monitoring buoys in Mikawa Bay, Japan between 2005 and 2009. The model validation showed a good performance with a root mean squared error (RMSE) in the range of 0.8-1.0°C. It is especially encouraging that the suggested model can predict water temperature with a reasonable level of accuracy once an acceptable relationship between air temperature and water temperature has been constructed from previously measured data. DOI: 10.1061/ (ASCE)EE.1943-7870.0000499. © 2012 American Society of Civil Engineers. CE Database subject headings: Temperature effects; Water temperature; Climate change; Hysteresis; Estuaries. Author keywords: Air temperature; Water temperature; Climate change; Harmonic analysis; Hysteresis.
- Subjects :
- geography
Environmental Engineering
geography.geographical_feature_category
Mean squared error
Aquatic ecosystem
Climate change
Estuary
Current (stream)
Hysteresis
Climatology
Thermal
Range (statistics)
Environmental Chemistry
Environmental science
General Environmental Science
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19437870 and 07339372
- Volume :
- 138
- Database :
- OpenAIRE
- Journal :
- Journal of Environmental Engineering
- Accession number :
- edsair.doi...........1e3ba2ecf620d65e998d36713bfd915f