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- W2332914265 abstract "Using the longest records (1995–2009) at a dense network of 21 observation wells available for Holocene unconfined aquifer (HUA) in Hanoi, this paper explored trends and their slopes in groundwater levels by utilizing the non-parametric Mann-Kendall trend test and Sen's slope estimator. At each well, 18 time series encompassing important groundwater level components (e.g. monthly, seasonal, annual means and so on) were analyzed to provide insights into the trends. This study highlighted that nonparametric approach is particularly suited to hydrological series in general and to groundwater level series in particular. Analyses for monthly data revealed that 12 out of 21 wells showed downward trends, while 4 wells showed upward trends. The spatial patterns of different trend slopes were also identified over HUA area. Although the trend results for other time series at a given well were quite similar, different trend patterns were detected in several time series. The findings provide useful references to sustainable groundwater development in Hanoi." @default.
- W2332914265 created "2016-06-24" @default.
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- W2332914265 date "2011-05-19" @default.
- W2332914265 modified "2023-10-17" @default.
- W2332914265 title "Trend Detection in Groundwater Levels of Holocene Unconfined Aquifer in Hanoi, Vietnam, by Non-Parametric Approaches" @default.
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- W2332914265 doi "https://doi.org/10.1061/41173(414)94" @default.
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