2022
DOI: 10.3390/w14233937
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Dynamic Response Characteristics of Shallow Groundwater Level to Hydro-Meteorological Factors and Well Irrigation Water Withdrawals under Different Conditions of Groundwater Buried Depth

Abstract: Many irrigation districts along the Yellow River have been suffering shallow groundwater depression and agriculture-use water shortage. For comprehending response relationships of shallow groundwater level and various factors under different conditions of groundwater buried depth, the hydro-meteorological time series and the agricultural production data in Puyang area of Henan Province, China during 2006–2018 were collected for performing wavelet analysis of the relationship between the groundwater level and t… Show more

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Cited by 5 publications
(2 citation statements)
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“…Water 2024, 16, 78 10 of 14 travel distance and lag time, with a goodness of fit of 0.99. A similar finding has been reported in a previous study where the groundwater level response to the water stage of the Yellow River is also mainly affected by the distance away from the Yellow River [30].…”
Section: Possible Impact Factors On Time Lagssupporting
confidence: 91%
See 1 more Smart Citation
“…Water 2024, 16, 78 10 of 14 travel distance and lag time, with a goodness of fit of 0.99. A similar finding has been reported in a previous study where the groundwater level response to the water stage of the Yellow River is also mainly affected by the distance away from the Yellow River [30].…”
Section: Possible Impact Factors On Time Lagssupporting
confidence: 91%
“…On the contrary, a significant linear relationship exists between travel distance and lag time, with a goodness of fit of 0.99. A similar finding has been reported in a previous study where the groundwater level response to the water stage of the Yellow River is also mainly affected by the distance away from the Yellow River [30]. Based on the fitting formula shown in Figure 9, we can estimate that every 100 km of travel distance will result in a lag of approximately 0.57 days.…”
Section: Possible Impact Factors On Time Lagssupporting
confidence: 89%