Chronology and characteristics of groundwater along the United Arab Emirates-Oman arid region: a guide for regional sustainability

Ji, Kaifang; Chen, Xuegao; Aldahan, Ala; Yi, Peng; Murad, Ahmed; Hussein, Saber; Alshamsi, Dalal; Ahmed, Mohamad M.; Yu, Zhongbo

doi:10.1007/s10967-020-07017-8

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…[8,10,32,33,39] The third objective of this study is the use of ANN/ANFIS models for long-term future predictions of groundwater levels to explore the aquifer depletion. Most of the Gulf countries are water-stressed and require sustainable groundwater planning and management [40]. The Saq Aquifer in the Qassim Region of Saudi Arabia represents a unique characteristic of arid regions, i.e., the aquifer recharge is almost negligible, but the groundwater pumping is continuous to meet municipal and irrigation requirements.…”

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confidence: 99%

Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

Almuhaylan

Ghumman

Al-Salamah

et al. 2020

Water

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In arid regions, the groundwater drawdown consistently increases, and even for a constant pumping rate, long-term predictions remain a challenge. The present research applies the modular three-dimensional finite-difference groundwater flow (MODFLOW) model to a unique aquifer facing challenges of undefined boundary conditions. Artificial neural networks (ANN) and adaptive neuro fuzzy inference systems (ANFIS) have also been investigated for predicting groundwater levels in the aquifer. A framework is developed for evaluating the impact of various scenarios of groundwater pumping on aquifer depletion. A new code in MATLAB was written for predictions of aquifer depletion using ANN/ANFIS. The geotechnical, meteorological, and hydrological data, including discharge and groundwater levels from 1980 to 2018 for wells in Qassim, were collected from the ministry concerned. The Nash–Sutcliffe efficiency and mean square error examined the performance of the models. The study found that the existing pumping rates can result in an alarming drawdown of 105 m in the next 50 years. Appropriate water conservation strategies for maintaining the existing pumping rate can reduce the impact on aquifer depletion by 33%.

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confidence: 99%

Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

Almuhaylan

Ghumman

Al-Salamah

et al. 2020

Water

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“…Talebmorad et al (2018) demonstrated the value of using the HGS model in a large basin where groundwater is overexploited. Ji et al (2020) focused on recharge estimation in arid zones. In mining areas, Kompanizare et al (2018) simulated surface and groundwater flow to show the impact of climate change and mining activities on the hydraulic connectivity of soil and geology.…”

Section: Choice Of the Hydrogeological Modelmentioning

confidence: 99%

Building a regional hydrogeological model in a data-scarce area and implications for local scale studies: Case of the Tim Mersoï Basin (Northwestern Niger)

Dobi,

Boubacar,

Kouakou

et al. 2023

Preprint

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This study investigates the feasibility of implementing a 3D hydrogeological model in a vast data-scarce area in northwestern Niger where groundwater resources are strongly impacted by climate changes and anthropogenic activities (uranium mining) in northwestern Niger, West Africa. A large scale fully integrated hydrological model was built and calibrated using HydroGeoSphere. The model conceptualization and parametrization were done using various sources of datasets. The model was calibrated using a stepwise approach by increasing the temporal resolution of the model inputs: steady state, dynamic equilibrium, and transient state. The calibration results showed that the model could reproduce the measured groundwater heads with a correlation coefficient of up to 0.79. The model was then validated by comparing total water storage computed from GRACE data over the TMB and the outputs of the model. The results showed the model reproduced quite well the amplitudes and direction of the variations measured by GRACE. Therefore, GRACE data were useful in the qualitative validation of the model. The outputs of the model allowed a quantitative analysis of the groundwater resources of the Tim Mersoï Basin (TMB). The global recharge was estimated at 15.74 mm/year, i.e., an interannual average of 13.58% of the rainfall. Most importantly, this model can be used in a hierarchical model set up to provide initial and boundary conditions for local scales (mining areas for example) studies.

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“…The tritium isotope value can provide a rough estimate of the time of geothermal water formation [54]. According to the empirical estimation method proposed by J.CH, tritium values within the range of 0-5 TU indicate a dominance of "ancient water" from approximately 40 years ago, while values between 5 and 40 TU suggest a mixing effect between newly infiltrated water and ancient water.…”

Section: Residence Time Of Geothermal Watermentioning

confidence: 99%

Geochemical Characteristics and Formation Mechanisms of the Geothermal Waters from the Reshui Area, Dulan of Qinghai, China

Wang,

Qin,

Ren

et al. 2023

Water

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The Reshui area, located to the northeast of the Qinghai–Tibet Plateau, exhibits complex geological conditions, well-developed structures, and strong hydrothermal activities. The distribution of hot springs within this area is mainly controlled by faults. In this paper, five hot springs from the area were taken as the research object. We comprehensively studied the geochemical characteristics and genetic mechanism of the geothermal water by conducting a field investigation, hydrogeochemistry and environmental isotopic analysis (87Sr/86Sr, δ2H, δ18O, 3H). The surface temperature of the geothermal water ranges from 84 to 91 °C. The geothermal water in the area exhibits a pH value ranging between 8.26 and 8.45, with a total dissolved solids’ (TDS) concentration falling between 2924 and 3140 mg/L, indicating a weakly alkaline saline nature. It falls into the hydrochemical type CI-Na and contains a relatively high content of trace components such as Li, Sr, B, Br, etc., which are of certain developmental value. Ion ratio analysis and strontium isotope characteristics show that the dissolution of evaporite minerals and carbonate minerals serves as a hot spring for the main source of solutes. Hydrogen and oxygen stable isotope characteristics findings indicate that the geothermal water is primarily recharged via atmospheric precipitation. Moreover, the tritium isotopic data suggest that the geothermal water is a mixture of both recent water and ancient water. Moreover, the recharge elevation is estimated to be between 6151 and 6255 m. and the recharge area is located in the Kunlun Mountains around the study area. The mixing ratio of cold water, calculated using the silicon enthalpy equation, is approximately 65% to 70%. Based on the heat storage temperature calculated using the silicon enthalpy equation and the corrected quartz geothermal temperature scale, we infer that the heat storage temperature of geothermal water in the area ranges from 234.4 to 247.8 °C, with a circulation depth between 7385 and 7816 m. The research results are highly valuable in improving the research level concerning the genesis of high-temperature geothermal water in Reshui areas and provide essential theoretical support for the rational development and protection of geothermal resources in the area.

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Chronology and characteristics of groundwater along the United Arab Emirates-Oman arid region: a guide for regional sustainability

Cited by 8 publications

References 37 publications

Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

Building a regional hydrogeological model in a data-scarce area and implications for local scale studies: Case of the Tim Mersoï Basin (Northwestern Niger)

Geochemical Characteristics and Formation Mechanisms of the Geothermal Waters from the Reshui Area, Dulan of Qinghai, China

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