Characterizing Groundwater Level Response to Precipitation at Multiple Timescales in the Lubei Plain Region Using Transfer Function Analysis

Remote Sensing, Год журнала: 2025, Номер 17(2), С. 208 - 208

Опубликована: Янв. 8, 2025

Groundwater is essential for ecosystem stability and climate adaptation, with precipitation variations directly affecting groundwater levels (GWLs). Human activities, particularly exploitation, disrupt the recharge mechanism regional water cycle. In this study, we propose a new research framework: On basis of analyzing spatiotemporal variability characteristics shallow GWL, used transfer function analysis (TFA) to quantify multi-timescale precipitation–GWL response under effects change human activities. addition, evaluated GWL seasonality seasonal while also considering apportionment entropy. We applied framework Lubei Plain (LBP), findings indicated following: (1) Annual in LBP decreased from southeast northwest, July August contributing 51.5% total rainfall; spatial autocorrelation was high influenced by geological conditions cropland irrigation. (2) The coherence between 0.96 high-precipitation areas but only 0.6 overexploited areas, sandy soils enhanced effective recharge, gain 1.65 lag time 2.1 months. (3) Over interannual scales, driven distribution aquifer characteristics, shorter timescales (4 months) were significantly affected longer which nearly 60% than that not overexploited. (4) exploitation reduced irrigation (0.5), approximately 0.5, 0.8 3.5 observed non-irrigation period. This study clarified response, provided perspective on issues, proposed an important short-term regulation sustainable development resources.

Язык: Английский

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Study on spatiotemporal variation patterns of groundwater in the North Shandong Plain and its response to precipitation

Frontiers in Earth Science, Год журнала: 2025, Номер 13

Опубликована: Март 7, 2025

Precipitation and groundwater are critical components of the hydrological cycle. Understanding their variations response relationship is vital for water resource management, ecological protection, flood risk assessment. To explore spatiotemporal patterns relationships precipitation levels in North Shandong Plain, this study analyzed data from 2012 to 2023, including records level various aquifers. Using trend analysis, Independent Component Analysis (ICA), Cross Wavelet Transform (XWT), research aimed identify its lagged responses precipitation. The findings reveal that Plain exhibited a non-significant increasing 2023. Trend analysis indicates at 70% monitoring points were declining, primarily central western regions, forming significant depression cones. ICA identified three primary evolution area. first independent component (IC1) represents main trend, characterized by decline 2018, followed recovery after 2018. Spatially, areas with high IC1 scores concentrated cone centers, particularly Dezhou City. By integrating XWT explored between different aquifer layers. Results indicate distinct differences lag times: shallow responded more quickly precipitation, an average 3.6 months, whereas deep longer times, averaging 8 somdee reaching up 12 months. This combines time series blind source separation techniques investigate provide new perspectives regional cycle research.

Язык: Английский

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Revealing hidden risks: advanced assessment of urban land subsidence

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Март 26, 2025

Язык: Английский

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Quantifying the time-varying period and time lag features of groundwater response: Dynamic impacts of precipitation-fed groundwater recharge

Ecological Indicators, Год журнала: 2025, Номер 176, С. 113648 - 113648

Опубликована: Май 24, 2025

Язык: Английский

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Response Relationship between Groundwater Storage and Environment Has Changed in a Inland River Basin, China

Опубликована: Янв. 1, 2024

Язык: Английский

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