How can remote sensing contribute in groundwater modeling?

Brunner, Philip; Franssen, Harrie‐Jan Hendricks; Kgotlhang, Lesego; Bauer‐Gottwein, Peter; Kinzelbach, Wolfgang

doi:10.1007/s10040-006-0127-z

Cited by 120 publications

(81 citation statements)

References 65 publications

(52 reference statements)

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“…In addition to remote sensing measures of ET anomalies or NDVI green islands, there are also new satellite sensors and techniques that provide estimates of groundwater fluctuations and soil moisture storage changes that are of value to the study of GDEs (Brunner et al, 2007). The twin satellites known as the Gravity Recovery and Climate Experiment (GRACE) were launched in 2002 for the purpose of making detailed measurements of Earth's gravity field (Tapley et al, 2004).…”

Section: Gravity Recovery and Climate Experiments (Grace) For Detectinmentioning

confidence: 99%

Groundwater-dependent ecosystems: recent insights from satellite and field-based studies

Eamus

Zolfaghar

Villalobos‐Vega

et al. 2015

Hydrol. Earth Syst. Sci.

121

112

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Abstract. Groundwater-dependent ecosystems (GDEs) are at risk globally due to unsustainable levels of groundwater extraction, especially in arid and semi-arid regions. In this review, we examine recent developments in the ecohydrology of GDEs with a focus on three knowledge gaps: (1) how do we locate GDEs, (2) how much water is transpired from shallow aquifers by GDEs and (3) what are the responses of GDEs to excessive groundwater extraction? The answers to these questions will determine water allocations that are required to sustain functioning of GDEs and to guide regulations on groundwater extraction to avoid negative impacts on GDEs.We discuss three methods for identifying GDEs: (1) techniques relying on remotely sensed information; (2) fluctuations in depth-to-groundwater that are associated with diurnal variations in transpiration; and (3) stable isotope analysis of water sources in the transpiration stream.We then discuss several methods for estimating rates of GW use, including direct measurement using sapflux or eddy covariance technologies, estimation of a climate wetness index within a Budyko framework, spatial distribution of evapotranspiration (ET) using remote sensing, groundwater modelling and stable isotopes. Remote sensing methods often rely on direct measurements to calibrate the relationship between vegetation indices and ET. ET from GDEs is also determined using hydrologic models of varying complexity, from the White method to fully coupled, variable saturation models. Combinations of methods are typically employed to obtain clearer insight into the components of groundwater discharge in GDEs, such as the proportional importance of transpiration versus evaporation (e.g. using stable isotopes) or from groundwater versus rainwater sources.Groundwater extraction can have severe consequences for the structure and function of GDEs. In the most extreme cases, phreatophytes experience crown dieback and death following groundwater drawdown. We provide a brief review of two case studies of the impacts of GW extraction and then provide an ecosystem-scale, multiple trait, integrated metric of the impact of differences in groundwater depth on the structure and function of eucalypt forests growing along a natural gradient in depth-to-groundwater. We conclude with a discussion of a depth-to-groundwater threshold in this mesic GDE. Beyond this threshold, significant changes occur in ecosystem structure and function.

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Section: Gravity Recovery and Climate Experiments (Grace) For Detectinmentioning

confidence: 99%

Groundwater-dependent ecosystems: recent insights from satellite and field-based studies

Eamus

Zolfaghar

Villalobos‐Vega

et al. 2015

Hydrol. Earth Syst. Sci.

121

112

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“…Remote sensing can be extremely efficient to acquire spatially distributed data for modeling (Becker 2006;Brunner et al 2007;Hendricks Franssen et al 2008). Considering the problem of the estimation of the pumping rates, one technique consists of estimating the crop evaporation from energy balance computations (Bastiaanssen et al 1998a;Bastiaanssen et al 1998b;Roerink et al 2000;Anderson and Kustas 2008) and use that estimation to derive pumping rates from the water mass balance.…”

Section: Areal Rechargementioning

confidence: 99%

Status of the Korba groundwater resources (Tunisia): observations and three-dimensional modelling of seawater intrusion

2010

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The Korba aquifer is located in the east of the Cape Bon peninsula in Tunisia. A large groundwater depression has been created in the central part of the aquifer since the 1980s, due to intense groundwater pumping for irrigation. The data collected show that the situation continues to deteriorate. Consequently, seawater is continuing to invade a large part of the aquifer. To better understand the situation and try to forecast its evolution, a three-dimensional (3D) transient density-dependent groundwater model has been developed. The model building process was difficult because of data required on groundwater discharge from thousands of unmonitored private wells. To circumvent that difficulty, indirect exhaustive information including remote sensing data and the physical parameters of the aquifer have been used in a multi-linear regression framework. The resulting 3D model shows that the aquifer is over-exploited. It also shows that after 50 years of exploitation, the time needed to turn back to the natural situation would be about 150 years if the authorities would ban all exploitation now. Such an asymmetry in the time scales required to contaminate or remediate an aquifer is an important characteristic of coastal aquifers that must be taken into account in their management.

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“…In most cases, obtaining field-based estimates for each model cell would be prohibitively expensive. As a result, methods which integrate remote sensing for recharge estimation at these scales have generated recent interest (Brunner et al 2004(Brunner et al , 2007. The water-balance approach which formulates recharge as the difference in precipitation (P) as well as the sum of surface/subsurface runoff and evapotranspiration (ET)-averaged over a suitably long period to make changes in storage negligible-is amenable for such applications.…”

Section: Introductionmentioning

confidence: 99%

“…Any spatial field of recharge-rate values derived from remote-sensing data is generally considered to be unreliable unless it is compared with field-based estimates that can provide "ground truth" (Brunner et al 2007). Without field-based verifications, remote-sensing estimates may yield erroneous flux rates even when they contain valid information on spatial patterns and relative spatial distributions.…”

Section: Introductionmentioning

confidence: 99%

“…Without field-based verifications, remote-sensing estimates may yield erroneous flux rates even when they contain valid information on spatial patterns and relative spatial distributions. However, the fieldwork required for verification is the most resource-intensive component of the analysis and often unfeasible over large areas (Brunner et al 2004(Brunner et al , 2007. Furthermore, different methods integrate differing areal scales, making direct comparisons between field-based and remotesensing-based estimates a challenge.…”

Section: Introductionmentioning

confidence: 99%

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Mapping mean annual groundwater recharge in the Nebraska Sand Hills, USA

et al. 2011

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[2000][2001][2002][2003][2004][2005][2006][2007][2008][2009] period was estimated at a 1-km spatial resolution as the difference of mean annual precipitation (P) and evapotranspiration (ET). Monthly P values came from the PRISM dataset, while monthly ET values were derived from linear transformations of the MODIS daytime land-surface temperature values into pixel ET rates with the help of ancillary atmospheric data (air temperature, humidity, and global radiation). The study area receives about 73 mm of recharge (with an error bound of ±73 mm) annually, which is about 14 ± 14% of the regional mean annual P value of 533 mm. The largest recharge rates (about 200 ± 85 mm or 30 ± 12% of P) occur in the south-eastern part of the Sand Hills due to smoother terrain and more abundant precipitation (around 700 mm), while recharge is the smallest (about 40 ± 59 mm or 10 ± 14% of P) in the western part, where annual precipitation is only about 420 mm. Typically, lakes, wetlands, wet inter-dunal valleys, rivers, irrigated crops (except in the south-eastern region) and certain parts of afforested areas in the south-central portion of the study area act as discharge areas for groundwater.

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How can remote sensing contribute in groundwater modeling?

Abstract: z los parámetros de entrada distribuidos espacialmente para un modelo, y (2) restricción de modelos durante la calibración mediante datos distribuidos espacialmente obtenidos de sensores remotos. Para ambas posibilidades los modelos pueden mejorarse conceptual y cuantitativamente.

Cited by 120 publications

References 65 publications

Groundwater-dependent ecosystems: recent insights from satellite and field-based studies

Groundwater-dependent ecosystems: recent insights from satellite and field-based studies

Status of the Korba groundwater resources (Tunisia): observations and three-dimensional modelling of seawater intrusion

Mapping mean annual groundwater recharge in the Nebraska Sand Hills, USA

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