Geostatistical analysis of spatiotemporal variability of groundwater level fluctuations in Amman–Zarqa basin, Jordan: a case study

Ta’any, Rakad; Tahboub, Alaeddin B.; Saffarini, Ghazi

doi:10.1007/s00254-008-1322-0

Cited by 59 publications

(25 citation statements)

References 17 publications

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“…However, the presented results are in good agreement with previous data [1,5,6,[13][14][15][16][17]33]. In average all these studies stated an annual groundwater level drawdown in the order of 0.65 m to 2.0 m. Figure 5a shows the linear trend from GRACE adjusted terrestrial water storage (including soil moisture and vegetation changes) during January 2003 to July 2014.…”

Section: Well Datasupporting

confidence: 81%

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Over Exploitation of Groundwater in the Centre of Amman Zarqa Basin—Jordan: Evaluation of Well Data and GRACE Satellite Observations

et al. 2015

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Jordan faces a sincere water crisis. Groundwater is the major water resource in Jordan and most of the ground water systems are already exploited beyond their estimated safe yield. The Amman Zarqa Basin is one of the most important groundwater systems in Jordan, which supplies the three largest cities in Jordan with drinking and irrigation water. Based on new data the groundwater drawdown in the Amman Zarqa Basin is studied. This basin is the most used drainage area in Jordan. Groundwater drawdown in eight central representative monitoring wells is outlined. Based on almost continuous data for the last 15 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) an average drawdown for the whole basin in the order of 1.1 m·a −1 is calculated. This result is in accordance with results of previous studies in other areas in Jordan and shows that, until now, no sustainable water management is applied. Groundwater management in such a basin presents a challenge for water managers and OPEN ACCESSResources 2015, 4 820 experts. The applicability of satellite data for estimating large-scale groundwater over exploitation, such as gravity products of the Gravity Recovery and Climate Experiment (GRACE) mission, along with supplementary data, is discussed. Although the size of the basin is below the minimum resolution of GRACE, the data generally support the measured drawdown.

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Section: Well Datasupporting

confidence: 81%

“…The Jordanian part of Amman Zarqa Basin ( Figure 1) covers an area of 3739 km 2 compared to 310 km 2 in Syria [1]. This basin represents the transitional area between western hills and eastern desert.…”

Section: Study Areamentioning

confidence: 99%

Over Exploitation of Groundwater in the Centre of Amman Zarqa Basin—Jordan: Evaluation of Well Data and GRACE Satellite Observations

et al. 2015

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“…On the one hand, a technique often used in earth sciences and especially in hydrogeology is kriging (Cressie, 1990;Rouhani and Myers, 1990;Weber and Englung, 1994;Zimmerman et al, 1999;Brochu and Marcotte, 2003;Theodossiou and Latinopoulos, 2006;Lyon et al, 2006;Ahmadi and Sedghamiz, 2007;Abedini et al, 2008;Renard and Jeannée, 2008;Ta'any et al, 2009;Buchanan and Triantafilis, 2009;Pardo-Igúzquiza et al, 2009;Sun et al, 2009;Canoğlu and Kurtuluş, 2017). A few authors have compared the efficiency of different interpolation techniques with kriging, cokriging, and kriging with external drift (Hoeksema et al, 1989;Boezio et al, 2006;Pardo-Igúzquiza and Chica-Olmo, 2007;Ahmadi and Sedghamiz, 2008;Bargaoui and Chebbi, 2008).…”

Section: Experimental Site and Datamentioning

confidence: 99%

Hydraulic head and groundwater <sup>111</sup>Cd content interpolations using empirical Bayesian kriging (EBK) and geo-adaptive neuro-fuzzy inference system (geo-ANFIS)

Sağır¹,

Kurtuluş²

2017

WSA

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In this study, hydraulic head and 111 Cd interpolations based on the geo-adaptive neuro-fuzzy inference system (Geo-ANFIS) and empirical Bayesian kriging (EBK) were performed for the alluvium unit of Karabağlar Polje in Muğla, Turkey. Hydraulic head measurements and Cd content of groundwater. Both models were applied on the same case study: alluvium of Karabağlar Polje, which covers an area of 25 km 2 in Muğla basin, in the southwest of Turkey. The ANFIS method (called ANFIS XY ) uses two reduced centred pre-processed inputs, which are cartesian coordinates (XY). Geo-ANFIS is tested on a 100-random-data subset of 8 data among 42, with the remaining data used to train and validate the models. ANFIS XY and EBK were then used to interpolate hydraulic head and heavy metal distribution, on a 50 m 2 grid covering the study area for ANFIS XY , while a 100 m 2 grid was used for EBK. Both EBK-and ANFIS XY -simulated hydraulic head and 111 Cd distributions exhibit realistic patterns, with RMSE < 9 m and RMSE < 8 µg/L, respectively. In conclusion, EBK can be considered as a better interpolation method than ANFIS XY for both parameters.

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“…The empirical semivariogram ( ) (h  ) is defined as half the average quadratic difference between two observations of a variable separated by a distance vector h [8][9][10][11][12][13][14][15]:…”

mentioning

confidence: 99%

“…Also, kriging provides the estimation variance at every estimated point, which is an indicator of the accuracy of the estimated value. This is considered as the major advantage of kriging over other estimation techniques [9].…”

mentioning

confidence: 99%

Prediction and Modelling of Corrosion in Steel Storage Tank Using Non-destructive Inspection

Sadawy¹,

Elsharkawy²

2013

JMSE-B

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Abstract:The ability to detect and classify damages in complex materials and structures is an important problem from both safety and economical perspectives. This paper develops a novel approach based on geostatistical analysis for the corrosion prediction. Our approach is based on using geostatistics for modeling oil tank thickness from nondestructive data. First of all the semivariogram was obtained from the scatter points set. Then computing the ordinary kriging predictions at unmonitored points. Finally, simulating the thickness along the surface of the tank.

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Geostatistical analysis of spatiotemporal variability of groundwater level fluctuations in Amman–Zarqa basin, Jordan: a case study

Cited by 59 publications

References 17 publications

Over Exploitation of Groundwater in the Centre of Amman Zarqa Basin—Jordan: Evaluation of Well Data and GRACE Satellite Observations

Over Exploitation of Groundwater in the Centre of Amman Zarqa Basin—Jordan: Evaluation of Well Data and GRACE Satellite Observations

Hydraulic head and groundwater <sup>111</sup>Cd content interpolations using empirical Bayesian kriging (EBK) and geo-adaptive neuro-fuzzy inference system (geo-ANFIS)

Prediction and Modelling of Corrosion in Steel Storage Tank Using Non-destructive Inspection

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