Hydrogeological structure modelling based on an integrated approach using multi-source data

Li, Jie; Wang, Wenke; Cheng, Dawei; Li, Ying; Wu, Ping; Huang, Xiaoqin

doi:10.1016/j.jhydrol.2021.126435

Cited by 11 publications

(4 citation statements)

References 54 publications

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“…The average evaporation is 1748.44 mm/yr, and the average precipitation is about 184.73 mm/a. Precipitation decreases from south to north, with the largest average annual water surface evaporation in Guyuan City and the smallest in Shizuishan City [15].…”

Section: Study Areamentioning

confidence: 99%

Analysis of Ningxia Hui Autonomous District’s Gray Water Footprint from the Perspective of Water Sustainability

Yue,

Qian,

Liu

et al. 2023

Sustainability

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Gray water footprint (GWF) is an effective method to evaluate the degree of water pollution and water quality. It is the amount of freshwater needed to dilute water pollutants to meet ambient water quality standards. Accounting and analyzing the GWF will be significant for promoting an improved water environment and sustainable water ecology in Ningxia Autonomous District. We accounted for the GWF of all cities in Ningxia from 2012 to 2020 and evaluated its spatial-temporal variations by the GWF accounting method proposed by Hoekstra. Then, the Logarithmic Mean Divisia Index (LMDI) method was applied to investigate the contributions of four driving factors: the population scale effect, economic development effect, technological effect, and industrial structure effect. And then, the changes in the GWF in the Ningxia region were analyzed. The results showed that the GWF in the Ningxia region changed from 79.21 × 108 to 29.09 × 108 m3/yr during 2012–2020, making a significant decreasing trend. Among all cities, Wuzhong City contributes the most in terms of the GWF. More specifically, economic development and technology structure are the positive and negative drivers of the GWF, respectively. The water pollution levels in Ningxia (0.49–1.3) indicated that the waste assimilation capacity has fallen short of taking up the pollutant load, which had an unfavorable impact on the groundwater according to actual water quality data. NO3-N and NH3-N are detected in the groundwater throughout the Ningxia region, with the highest NH3-N content in the groundwater in Yinchuan, which almost exceeded the groundwater quality standard of category III. Above all, this study reflected the current water pollution situation better by combining the GWF with actual water quality data in Ningxia. The finding of this study is valuable for addressing water quality threats and developing sustainable development.

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Section: Study Areamentioning

confidence: 99%

Analysis of Ningxia Hui Autonomous District’s Gray Water Footprint from the Perspective of Water Sustainability

Yue,

Qian,

Liu

et al. 2023

Sustainability

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“…A 3D lithological model of the study area was built using an integrated approach that had previously been used to construct a hydrogeological structure model of the basin's thick unconsolidated sediments (Li et al, 2021). The 3D lithological model is based on multiple sources of data (including borehole surface elevation data, borehole lithology data, audio-frequency magnetotelluric data (AMT), and lower boundary elevation data) for the Quaternary sediments that were integrated using several methods including Sequential Gaussian Simulation and Natural Neighbor Interpolation.…”

Section: A Three-dimensional Lithological Modelmentioning

confidence: 99%

“…Eleven layers were chosen for the model in the z (vertical) direction. The surface elevation and bottom elevation of the model were determined by the 3D geological structure model developed by Li (2021). The areal extension of the model layers was truncated by the bottom elevation of the basin (Aquaveo, 2017).…”

Section: Model Grid and Stress Periodmentioning

confidence: 99%

Response of hydrogeological processes in a regional groundwater system to environmental changes: A modeling study of Yinchuan Basin, China

Zhou²,

Wang³

et al. 2022

Journal of Hydrology

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“…This method utilizes lightning activity in the ionosphere as its source with a frequency range from 0.1 Hz-10 kHz (Constable, 2016), which is both environmentally friendly and easy to use. The AMT method is used in hydrology to determine aquifer thickness and depth, to define the deepest geological strata, and to characterize groundwater migration (Li et al, 2021;Montahaei, 2022;Tripathi et al, 2019;Xu et al, 2020;2023;Zaher et al, 2021). The expected result of using AMT method in this research is to determine the presence of deeper aquifers based on the contrast of rock resistivity values modelled in 1D.…”

Section: Introductionmentioning

confidence: 99%

1D Audio Magnetotelluric Modelling for Deep Aquifer Identification in the Lava Fan Area of Haruman Peak, Malabar Mountains

Rahmawati,

Kusuma,

Hanifah

et al. 2024

Geocelebes

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The Malabar Mountains area acts as a catchment and infiltration zone for rainwater. Haruman Peak is the location of one of these areas. Information on the well-preserved depth of the shallow aquifer at 40 meters reinforces this. This research reviews the results of subsurface 1D resistivity structures from AMT data to obtain information on the depth of deep aquifers on the western slope of the Haruman Peak Lava Fan, Haruman Mountains. 1D modelling shows an aquifer at depth of 140.56-2080.07 meters with resistivity ranging from 5.25-68.08 Ωm. At depths of 453.32 m (HR02), 530.8 m (HR03), 1464.97 m (HR01), and 2080.07 m (HR02), interbedded tuff-andesite with minor pumice identifies the deep aquifer. In addition, a depth of 140.56 m (HR02) with a resistivity value of 68.08 Ωm indicates a shallow aquifer. Looking at the elevation of the Bandung Basin, water from aquifers located at elevations > 700 meters above sea level will flow into the Bandung Basin.

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Hydrogeological structure modelling based on an integrated approach using multi-source data

Cited by 11 publications

References 54 publications

Analysis of Ningxia Hui Autonomous District’s Gray Water Footprint from the Perspective of Water Sustainability

Analysis of Ningxia Hui Autonomous District’s Gray Water Footprint from the Perspective of Water Sustainability

Response of hydrogeological processes in a regional groundwater system to environmental changes: A modeling study of Yinchuan Basin, China

1D Audio Magnetotelluric Modelling for Deep Aquifer Identification in the Lava Fan Area of Haruman Peak, Malabar Mountains

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