Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin

Chen, Yuan; Shu, Longcang; Li, Hu; Opoku, Portia Annabelle; Li, Gang; Xu, Zexuan; Qi, Tiansong

doi:10.3390/w13213048

Cited by 4 publications

(4 citation statements)

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“…These formations play a role in determining the spatial distribution characteristics of karst aquifers in the area. The geological composition of the Jinan Spring Basin can be categorised into three distinct layers: a phreatic aquifer, an aquitard, and a karst aquifer [30,33,34]. The spring area is situated in the intermediary region between the mountainous terrain in central Shangdong and the gently inclined plain at the foot of the mountain.…”

Section: Description Of the Study Area And Hydrogeological Conditionsmentioning

confidence: 99%

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Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons and a decrease in discharge in recent years. GIS and the AHP were employed to delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage density, and land use/land cover (LULC). The model’s accuracy was assessed by comparing the findings to basin groundwater observation well data. We found that 74% of the observations matched the projected zoning. Further validation utilising the receiver operating characteristic (ROC) curve gave an AUC of 0.736. According to the study, 67.31% of the land has a good GWPZ, 5.60% has a very good one, 27.07% is medium, and 0.03% is low. Heavy rains throughout the rainy season raise water levels. Dry weather lowers water levels. This study’s conclusions will protect groundwater from climate change. Integrating hydrogeological data, GIS, remote sensing, and AHP approaches maximises data use, improves groundwater potential zone delineation, and promotes sustainable groundwater resource management decision making. This integrated method can help land use planners, hydrologists, and policymakers find optimal locations for water supply projects, establish groundwater management techniques, and reduce groundwater risks.

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Section: Description Of the Study Area And Hydrogeological Conditionsmentioning

confidence: 99%

Section: Description Of Data Usedmentioning

confidence: 99%

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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“…The hydrological data used in this study included: (1) The discharge data collected by six hydrological stations in the source stream (i.e., Xiehela, Shaliguilanke, Kaqun, Jiangka, Wuluwati, and Tongguziluoke) and two hydrological stations in the mainstream (i.e., Alaer and Xinquman); and (2) The water level data of the Xinquman hydrological station in the lower reaches. These hydrological data during ~1985-2014 were monitored and provided by the Tarim River Basin Authority.…”

Section: Datamentioning

confidence: 99%

“…Climate change and land use/land cover change (LUCC) play a significant role in hydrological variations. Variations in precipitation and temperature due to climate change have impacts on streamflow [1]. LUCC alters streamflow by affecting evapotranspiration, interception, and infiltration.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Han,

Xue,

et al. 2023

Water

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Climate change and land use/cover change (LUCC) are two major factors that alter hydrological processes. The upper reaches of the Tarim River, situated in the northwest region of China, experience a dry and less rainy climate and are significantly influenced by human activities. This study comprehensively assessed the impacts of individual and combined climate changes and LUCCs on streamflow. Three general circulation models (GCMs) were utilized to predict future climate changes under three shared socioeconomic pathways (SSP119, SSP245, and SSP585). Cellular Automata–Markov (CA–Markov) was employed to predict future LUCC under three scenarios (i.e., ecological protection, historical trend, and farmland development). Streamflow for the period 2021–2050 was simulated using the calibrated MIKE SHE model with multiple scenarios. The results showed that from 2021 to 2050, increments in both average annual precipitation and average annual temperature under the three SSPs were predicted to lead to an increased streamflow. In comparison to the conditions observed in 2000, under three LUCC scenarios for 2030, the grassland area decreased by 1.04% to 1.21%, while the farmland area increased by 1.97% to 2.26%, resulting in reduced streamflow. The related changes analysis indicated that the variation in streamflow during winter is most significant, followed by spring. The study predicted that climate change would increase streamflow, while LUCC would decrease it. Due to the greater impact of LUCC, considering the combined effect of both factors, runoff would decrease. The contribution analysis indicated that climate change contributed between −7.16% and −18.66%, while LUCC contributed between 107.16% and 118.66%.

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Groundwater level complexity analysis based on multifractal characteristics: a case study in Baotu Spring Basin, China

Niu,

Shu,

et al. 2023

Theor Appl Climatol

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Groundwater resources are important natural resources that must be appropriately managed. Because groundwater level uctuation typically exhibits non-stationarity, revealing its complex characteristics is of scienti c and practical signi cance for understanding the response mechanism of the groundwater level to natural or human factors. Therefore, employing multifractal analysis to detect groundwater level variation irregularities is necessary. In this study, multifractal detrended uctuation analysis (MF-DFA) was applied to study the multifractal characteristics of the groundwater level in the Baotu Spring Basin and further detect the complexity of groundwater level variation. The main results indicate that groundwater level variation in the Baotu Spring Basin exhibited multifractal characteristics, and multifractality originated from broad probability density function (PDF) and the long-range correlation of the hydrological series. The groundwater level uctuations in wells 358 and 361 exhibited a high complexity, those in wells 287 and 268 were moderately complex, and the groundwater level uctuations in wells 257 and 305 were characterized by a low complexity. The spatial variability of hydrogeological conditions resulted in spatial heterogeneity in the groundwater level complexity. This study could provide important reference value for the analysis of the nonlinear response mechanism of groundwater to its in uencing factors and the development of hydrological models.

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Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin

Cited by 4 publications

References 46 publications

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Groundwater level complexity analysis based on multifractal characteristics: a case study in Baotu Spring Basin, China

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