2020
DOI: 10.3390/w12030828
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Delineation of Hydraulic Flow Regime Areas Based on the Statistical Analysis of Semicentennial Shallow Groundwater Table Time Series

Abstract: Shallow groundwater acts as an important source of water for the ecosystem, agriculture, drinking water supply, etc.; it is, however, among those water resources most sensitive to climate change, and especially to aridification. In the present study, the delineation of regional recharge and discharge zones of the Danube–Tisza Interfluve (Hungary, 8000 km2) is presented via the combination of multivariate time series and geomathematical methods to explore the subregions most sensitive to dewatering. The shallow… Show more

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Cited by 13 publications
(11 citation statements)
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“…Results concur with general knowledge that, at the level of interannual variability, changes in SGW levels are driven primarily by evapotranspiration and the interannual distribution of precipitation [73]. Therefore, finding significant correlations between precipitation and SGW level variations can help assess aquifer vulnerability [17,74].…”
Section: Discussionsupporting
confidence: 86%
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“…Results concur with general knowledge that, at the level of interannual variability, changes in SGW levels are driven primarily by evapotranspiration and the interannual distribution of precipitation [73]. Therefore, finding significant correlations between precipitation and SGW level variations can help assess aquifer vulnerability [17,74].…”
Section: Discussionsupporting
confidence: 86%
“…A knowledge of these factors is crucial to a better understanding of the hydrogeological processes that characterize the water table, something which is crucial to the development of an appropriate water resource management strategy for the area. The excess knowledge provided by the present study could serve as a benchmark for further preparation for the severe negative effects likely to come about as a result of climate change in the area [17,79,80…”
Section: Discussionmentioning
confidence: 97%
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“…On the basis of the results, it can be assumed that the three determined CTs did indeed prove CT 1 was identified with the integrated evapotranspiration as a background factor, which is in close linear relation with CT 1 (r = −0.896), even without temporal displacement. A similar approach has been successfully applied in other studies [54][55][56][57][58][59] in which the integrated evapotranspiration played a significant role in the fluctuation of water levels. No major increase in the strength of the relationship was observed, not even when the CT 1 was displaced temporally-the correlation coefficient did not change significantly with a 4-day displacement either (Q1: −0.913, Q3: −0.905).…”
Section: The Use Of Dynamic Factor Models To Obtain Common Trendsmentioning
confidence: 99%