On the use of surface and ground temperature data to recover soil water content information

Béhaegel, M.; Sailhac, Pascal; Marquis, Guy

doi:10.1016/j.jappgeo.2006.11.005

Cited by 26 publications

(22 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The effects of changes in soil water content on soil temperature fluctuations have been previously observed (e.g. Hinkel et al, 2001;Béhaegel et al, 2007).…”

Section: Declining Water Table Trendmentioning

confidence: 79%

See 1 more Smart Citation

Contrasting carbon dioxide fluxes between a drying shrub wetland in Northern Wisconsin, USA, and nearby forests

et al. 2009

View full text Add to dashboard Cite

Abstract. Wetland biogeochemistry is strongly influenced by water and temperature dynamics, and these interactions are currently poorly represented in ecosystem and climate models. A decline in water table of approximately 30 cm was observed at a wetland in Northern Wisconsin, USA over a period from 2001-2007, which was highly correlated with an increase in daily soil temperature variability. Eddy covariance measurements of carbon dioxide exchange were compared with measured CO 2 fluxes at two nearby forests in order to distinguish wetland effects from regional trends. As wetland water table declined, both ecosystem respiration and ecosystem production increased by over 20% at the wetland, while forest CO 2 fluxes had no significant trends. Net ecosystem exchange of carbon dioxide at the wetland was not correlated with water table, but wetland evapotranspiration decreased substantially as the water table declined. These results suggest that changes in hydrology may not have a large impact on shrub wetland carbon balance over inter-annual time scales due to opposing responses in both ecosystem respiration and productivity.

show abstract

“…The effects of changes in soil water content on soil temperature fluctuations have been previously observed (e.g. Hinkel et al, 2001;Béhaegel et al, 2007).…”

Section: Declining Water Table Trendmentioning

confidence: 79%

“…The lack of correlation between water table and air temperature indicate that the changes in soil temperature were related to soil properties, and not direct results of climatic forcing. Changes in soil water content are known to affect soil thermal properties (Béhaegel et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Contrasting carbon dioxide fluxes between a drying shrub wetland in Northern Wisconsin, USA, and nearby forests

et al. 2009

View full text Add to dashboard Cite

show abstract

“…The use of heat-as-a-tracer in surface water and groundwater investigations has seen a large amount of interest over the past decade (refer to following reviews of various aspects of heat-tracing: Anderson, 2005;Constantz, 2008;Rau, Andersen, McCallum, Roshan, & Acworth, 2014;Irvine et al, 2016;Halloran et al, 2016b), and some promising investigations using heat tracing techniques in the variably saturated zone have recently been undertaken (Béhaegel, Sailhac, & Marquis, 2007;Sayde et al, 2010;Krzeminska et al, 2012;Ciocca, Lunati, van de Giesen, & Parlange, 2012;Bechkit, Flageul, Guerin, & Tabbagh, 2014;Falocchi, Barontini, & Ranzi, 2015;Halloran, Roshan, Rau, Andersen, & Acworth, 2016c). For most passive methods that use natural temperature fluctuations, temporal resolution will generally be limited to 1 day when using the dominant diurnal signal.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the thermal regime and subsurface properties of a tidally affected, variably saturated streambed

Halloran

Andersen

Rau

2017

Hydrological Processes

View full text Add to dashboard Cite

Temperature and moisture content in the variably saturated subsurface are two of the most important physical parameters that govern a wide variety of geochemical and ecological processes. An understanding of thermal and hydraulic processes and properties of transient vadose zones is therefore fundamental in the evaluation of such processes. Here, an investigation of the thermal regime and subsurface properties of a tidally affected, variably saturated streambed is presented. Field and laboratory measurements, as well as a forward numerical model, are jointly employed in the investigation. Temperature, soil moisture, surface level, and water level data were recorded in a transect perpendicular to a tidally driven stream. Frequency‐domain analysis of the subsurface temperature measurements revealed the rapid decay of the tidal temperature driver within the top ∼30 cm of sediment. Several techniques were used to evaluate subsurface thermal and hydraulic properties, including thermal conductivity and the soil water retention curve. These properties were used to constrain a forward numerical model that included coupled treatment of relevant variable saturation thermal and hydraulic physics. Even though the investigated vadose zone is intermittent and relatively shallow ( ≲ 20 cm), the results illustrate how error can be introduced into heat‐transport calculations if unsaturated conditions are not taken into account.

show abstract

“…Soil water prediction is an effective approach to acquiring the future soil water condition. Considerable research achievements have been made by related scholars fro m both China and other countries [1][2][3][4][5][6], but these studies are focused on the farmland soil. Soil-water prediction models main ly involve empirical type, conceptual type, mechanism-based type and random type etc., and their complexity and adaptability are quite different.…”

Section: Introductionmentioning

confidence: 99%

Soil Water Prediction of Moving Dune Based on BP Neural Network Model in Northwest Liaoning Sandy Land

Yan

Liu

Wang

2010

2010 Second International Conference on Computer Modeling and Simulation

View full text Add to dashboard Cite

With the moving dune in sandy land of Northwest Liaoning province as the research object, its water variation in soil was simulated and studied based on a BP Neural Network model. With principal meteorologic factors that affect soil water, such as precipitation and evaporation, as the input variables and the water content in soil as the output variable, a soil-water prediction model based on BP NN was built. Results show that the BP NN model achieved high precision, with mean absolute error of 0.35 and mean relative error of 11.53%. The BP NN prediction model for moving dune provides a new approach for the soil water acquisition.

show abstract

On the use of surface and ground temperature data to recover soil water content information

Cited by 26 publications

References 43 publications

Contrasting carbon dioxide fluxes between a drying shrub wetland in Northern Wisconsin, USA, and nearby forests

Contrasting carbon dioxide fluxes between a drying shrub wetland in Northern Wisconsin, USA, and nearby forests

Investigation of the thermal regime and subsurface properties of a tidally affected, variably saturated streambed

Soil Water Prediction of Moving Dune Based on BP Neural Network Model in Northwest Liaoning Sandy Land

Contact Info

Product

Resources

About