Using Landsat thermal imagery and GIS for identification of groundwater discharge into shallow groundwater‐dominated lakes

Tcherepanov, Evgueni N.; Zlotnik, Vitaly A.; Henebry, Geoffrey M.

doi:10.1080/01431160500177315

Cited by 31 publications

(18 citation statements)

References 12 publications

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“…Few published guidelines exist however for the application of Landsat imagery to localise groundwater inputs to lakes as a consequence of limitations that include the presence of cloud, scan-line errors or poor temporal and spatial resolution for example. Despite these shortcomings, Tcherepanov et al (2005) examined ground-surface water interactions across lakes in the Nebraska Sand Hills using a series of Landsat TM and ETM+ scenes with some success. Their results highlighted a number of areas with consistently cooler temperatures subsequently inferred but were not verified as zones of potential groundwater discharge.…”

Section: Remote Sensing For Groundwater Detectionmentioning

confidence: 99%

A combined remote sensing and multi-tracer approach for localising and assessing groundwater-lake interactions

Wilson

Rocha

2016

International Journal of Applied Earth Observation and Geoinfor

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Section: Remote Sensing For Groundwater Detectionmentioning

confidence: 99%

A combined remote sensing and multi-tracer approach for localising and assessing groundwater-lake interactions

Wilson

Rocha

2016

International Journal of Applied Earth Observation and Geoinfor

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“…Local fluxes, however, can be highly variable (Conant, 2004;Keery et al, 2007) with significant implications for biogeochemical processes. The use of remote sensing and airborne methods to sense temperature to evaluate groundwater-surface water exchange is relatively new (Becker, 2006); but to date only offers a qualitative assessment (Tcherepanov et al, 2005) unless additional calculations of the energy balance are made (Loheide and Gorlick, 2006). Selker et al (2006) introduce fiber-optics to sense the interaction of groundwater and surface water along a river channel from temperature signals.…”

Section: Introductionmentioning

confidence: 99%

Transient or steady‐state? Using vertical temperature profiles to quantify groundwater–surface water exchange

Anibas

Fleckenstein

Volze

et al. 2009

Hydrological Processes

126

131

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Abstract:Heat is recognized as a natural tracer to identify the exchange of water between the groundwater and surface water compartment. One-dimensional (1D) heat transport models have the ability to obtain quantitative estimates of vertical fluxes through the sediment matrix. Input to these models can come from temperatures observed in the surface water and in the bed material of rivers and lakes. The upper thermal boundary condition at the groundwater-surface water interface is affected by seasonal and diurnal temperature variations. We hypothesize that effects of these transient influences are negligible at certain times of the year, such that the vertical temperature distribution can be approximated to be at steady state. Temperature time series observed over a year in the surface water and at several depths below a river in Belgium and in sediments of an acid mine lake in Eastern Germany were simulated with a heat balance model implemented in FEMME and the water and energy model VS2DH to obtain seepage fluxes. Temperature variations throughout the year at all depths could be adequately reproduced with the transient models. Vertical temperature profiles at several measuring times during the year were also fitted with an analytical, steady-state solution for 1D heat transport and the obtained fluxes compared to the results from transient simulations. Fluxes obtained from the much simpler steady-state solution were compared well with the flux rates from transient simulations for moments between mid and late summer, as well as during the winter. During transitional seasons (fall and spring), the fluxes from the steady-state solution deviated significantly from the transient estimates with a tendency to underestimate at the beginning and to overestimate towards the end of those seasons. We conclude that fitting a simple analytical solution for 1D vertical heat transport to temperature data observed at particular well-selected times of the year can provide an inexpensive, simple method to obtain accurate point estimates of groundwater-surface water exchange in rivers and lakes.

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“…Improving our understanding about rainfall partitioning in forests ecosystems is very important for studies that focus on forest hydrology to better management and decision making on this vital ecosystems (Ajami et al, 2011;Brecciaroli et al, 2012;Davudirad et al, 2015;Dohnal et al, 2014;Frot et al, 2007;Holko et al, 2009;Xu et al, 2014). Such eco-hydrological studies lead to a proper hydrological balance analysis and therefore have been well considered in forest hydrology studies during last few decades (Adriaenssens et al, 2012;Bosch and Hewlett, 1982;Carlyle-Moses, 2004;Devlaeminck et al, 2005;Gurav et al, 2012;Marin et al, 2000;Llorens and Domingo, 2007;Mitchell et al, 1986;Molina and Campo, 2012;Nanko et al, 2006;Park and Cameron, 2008;Rahmani et al, 2011;Shachnovich et al, 2008;Tcherepanov et al, 2005;Xu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variation of throughfall in a hyrcanian plain forest stand in Northern Iran

Yousefi

Sadeghi

Mirzaee

et al. 2017

Journal of Hydrology and Hydromechanics

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Elucidating segregation of precipitation in different components in forest stands is important for proper forest ecosystems management. However, there is a lack of information on important rainfall components viz. throughfall, interception and stemflow in forest watersheds particularly in developing countries. We therefore investigated the spatiotemporal variation of important component of throughfall for a forest stand in a Hyrcanian plain forest in Noor City, northern Iran. The study area contained five species of Quercus castaneifolia, Carpinus betulus, Populus caspica and Parrotia persica. The research was conducted from July 2013 to July 2014 using a systematic sampling method. Ninetysix throughfall collectors were installed in a 3.5 m × 3.5 m grid cells. The canopy covers during the growing/leaf-on (i.e., from May to November) and non-growing/leaf-off (i.e., from December to March) seasons were approximately 41% and 81%, respectively. The mean cumulative throughfall during the study period was 623±31 mm. The average throughfall (TF) as % of rainfall (TFPR) during leaf-on and leaf-off periods were calculated 56±14% and 77±10%, respectively. TF was significantly (R 2 = 0.97, p = 0.00006) correlated with gross precipitation. Percent of canopy cover was not correlated with TF except when gross precipitation was <30 mm. A comparison between leaf-off and leaf-on conditions indicated a significantly higher TFPR and corresponding hotspots during leaf-on period. TFPR also differed between seasons with a maximum amount in winter (82%). The results of the study can be effectively used by forest watershed managers for better perception of hydrological behavior of the Hyrcanian forest in the north of Iran under different silvicultural circumstances leading to getting better ecosystem services.

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Using Landsat thermal imagery and GIS for identification of groundwater discharge into shallow groundwater‐dominated lakes

Cited by 31 publications

References 12 publications

A combined remote sensing and multi-tracer approach for localising and assessing groundwater-lake interactions

A combined remote sensing and multi-tracer approach for localising and assessing groundwater-lake interactions

Transient or steady‐state? Using vertical temperature profiles to quantify groundwater–surface water exchange

Spatio-temporal variation of throughfall in a hyrcanian plain forest stand in Northern Iran

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