Spatial and Temporal Variability of Water Temperature during early Stage of Kelp Culture in Sanggou Bay, China

2014 ◽  
Vol 955-959 ◽  
pp. 1151-1154
Author(s):  
Xu Dong Qiao ◽  
Da Ji Huang ◽  
Ding Yong Zeng ◽  
Zeng Jie Jiang ◽  
Jian Guang Fang

The spatial-temporal variability of water temperature in autumn during the early stage of kelp culture in Sanggou Bay was studied based on moored measurements. The vertical profiles of temperature demonstrated that the water columns were well mixed. By using moving average filter, water temperature variations were decomposed to the trend (>12d), synoptic-scale (5~12d) component, and tidal-scale (<25h) component. Temperature variations were dominated by the trend which dropped gradually during the observation. The temperature decline rates, which were affected by water depth, varied from 0.16 °C/d to 0.24 °C/d. Synoptic and tidal cycles contributed to the temporal oscillations of temperature. The synoptic-scale components were also modulated by water depth. The ranges of tidal-scale component were higher at the bay mouth than those in the inner bay. Water temperature during the early stage of kelp culture was basically within the optimum ranges for kelp and bivalves.

2017 ◽  
Vol 21 (6) ◽  
pp. 3231-3247 ◽  
Author(s):  
Cédric L. R. Laizé ◽  
Cristian Bruna Meredith ◽  
Michael J. Dunbar ◽  
David M. Hannah

Abstract. Stream water temperature is a key control of many river processes (e.g. ecology, biogeochemistry, hydraulics) and services (e.g. power plant cooling, recreational use). Consequently, the effect of climate change and variability on stream temperature is a major scientific and practical concern. This paper aims (1) to improve the understanding of large-scale spatial and temporal variability in climate–water temperature associations, and (2) to assess explicitly the influence of basin properties as modifiers of these relationships. A dataset was assembled including six distinct modelled climatic variables (air temperature, downward short-wave and long-wave radiation, wind speed, specific humidity, and precipitation) and observed stream temperatures for the period 1984–2007 at 35 sites located on 21 rivers within 16 basins (Great Britain geographical extent); the study focuses on broad spatio-temporal patterns, and hence was based on 3-month-averaged data (i.e. seasonal). A wide range of basin properties was derived. Five models were fitted (all seasons, winter, spring, summer, and autumn). Both site and national spatial scales were investigated at once by using multi-level modelling with linear multiple regressions. Model selection used multi-model inference, which provides more robust models, based on sets of good models, rather than a single best model. Broad climate–water temperature associations common to all sites were obtained from the analysis of the fixed coefficients, while site-specific responses, i.e. random coefficients, were assessed against basin properties with analysis of variance (ANOVA). All six climate predictors investigated play a role as a control of water temperature. Air temperature and short-wave radiation are important for all models/seasons, while the other predictors are important for some models/seasons only. The form and strength of the climate–stream temperature association vary depending on season and on water temperature. The dominating climate drivers and physical processes may change across seasons and across the stream temperature range. The role of basin permeability, size, and elevation as modifiers of the climate–water temperature associations was confirmed; permeability has the primary influence, followed by size and elevation. Smaller, upland, and/or impermeable basins are the most influenced by atmospheric heat exchanges, while larger, lowland and permeable basins are the least influenced. The study showed the importance of accounting properly for the spatial and temporal variability of climate–stream temperature associations and their modification by basin properties.


2012 ◽  
Vol 23 (3) ◽  
pp. 207-217 ◽  
Author(s):  
Kenneth M. Hinkel ◽  
John D. Lenters ◽  
Yongwei Sheng ◽  
Evan A. Lyons ◽  
Richard A. Beck ◽  
...  

2016 ◽  
Author(s):  
C. L. R. Laizé ◽  
C. Bruna Meredith ◽  
M. Dunbar ◽  
D. M. Hannah

Abstract. Stream water temperature is a key control of many river processes (e.g. ecology, biogeochemistry, hydraulics) and services (e.g. power plant cooling, recreational use). Consequently, the effect of climate change and variability on stream temperature is a major scientific and practical concern. This paper aimed (1) to improve the understanding of large-scale spatial and temporal variability in climate–water temperature associations, and (2) to assess explicitly the influence of basin properties as modifiers of these relationships. A dataset was assembled including six distinct modelled climatic variables (air temperature, downward shortwave and longwave radiation, wind speed, specific humidity, and precipitation) and observed stream temperatures for the period 1984–2007 at 35 sites located on 21 rivers within 16 basins (Great Britain geographical extent); the study focused on broad spatio-temporal patterns hence was based on three-month averaged data (i.e. seasonal). A wide range of basin properties was derived. Five models were fitted (all seasons, winter, spring, summer, and autumn). Both site and national spatial scales were investigated at once by using multi-level modelling with linear multiple regressions. Model selection used Multi-Model Inference, which provides more robust models, based on sets of good models, rather than a single best model. Broad climate-water temperature associations common to all sites were obtained from the analysis of the fixed coefficients, while site-specific responses, i.e. random coefficients, were assessed against basin properties with ANOVA. All six climate predictors investigated play a role as a control of water temperature. Air temperature and shortwave radiation are important for all models/seasons, while the other predictors are important for some models/seasons only. The form and strength of the climate-stream temperature association vary depending on season and on water temperature. The dominating climate drivers and physical processes may change across seasons, and across the stream temperature range. The role of basin permeability, size, and elevation as modifiers of the climate-water temperature associations was confirmed; permeability has the primary influence, followed by size and elevation. Smaller, upland, and/or impermeable basins are the most influenced by atmospheric heat exchanges, while larger, lowland and permeable basins are least influenced. The study showed the importance of accounting properly for the spatial and temporal variability of climate-stream temperature associations and their modification by basin properties.


2001 ◽  
Vol 58 (3) ◽  
pp. 609-619 ◽  
Author(s):  
Kerri P Finlay ◽  
Hélène Cyr ◽  
Brian J Shuter

Current models of the offshore thermal structure in lakes suggest that the thermal regime inshore should vary seasonally, and should vary systematically from upwind to downwind littoral sites. To test these hypotheses, we measured mean temperature and short-term (<2 days) temporal variability in water temperature at 23 shallow littoral sites in four basins of Lake Opeongo, Ontario, Canada. Water temperature in the littoral zone was most variable, both spatially and temporally, in the spring. Spring water temperature differed by as much as 7–15°C among littoral sites in different basins (median difference among sites = 2–4°C). Downwind sites were generally warmer and had more constant temperature than upwind sites, but the magnitude of these differences varied among basins of different sizes and shapes. Simple calculations of growth rates and of fish hatching times suggest that the observed variability in water temperature would result in differences in the productivity of different portions of the littoral zone.


Crop Science ◽  
2004 ◽  
Vol 44 (3) ◽  
pp. 847 ◽  
Author(s):  
Weidong Liu ◽  
Matthijs Tollenaar ◽  
Greg Stewart ◽  
William Deen

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