2022
DOI: 10.1016/j.scitotenv.2022.157479
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Application and comparison of different statistical methods for the analysis of groundwater levels over time: Response to rainfall and resource evolution in the Piedmont Plain (NW Italy)

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Cited by 10 publications
(9 citation statements)
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“…The selected monitoring wells correspond to those with a completeness of at least 80% for EC (% half-yearly chemical data available for the overall period). A total of 34 monitoring points with a completeness between 70 and 80% were added in relation to the characterisation of the groundwater level already performed in a previous study [56]. The average completeness values were 94% for EC, SO 4 , NO 3 , Cl and pH and 61% for Na, HCO 3 , Ca and Mg.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The selected monitoring wells correspond to those with a completeness of at least 80% for EC (% half-yearly chemical data available for the overall period). A total of 34 monitoring points with a completeness between 70 and 80% were added in relation to the characterisation of the groundwater level already performed in a previous study [56]. The average completeness values were 94% for EC, SO 4 , NO 3 , Cl and pH and 61% for Na, HCO 3 , Ca and Mg.…”
Section: Resultsmentioning
confidence: 99%
“…The groundwater quality in the Piedmont Po Plain (NW Italy) shows a relevant temporal variability that is necessary to characterise due to the lack of a regional-scale assessment. Several studies have been conducted only at the local scale [55][56][57][58][59][60], and even fewer have been conducted in the alpine context [61,62].…”
Section: Introductionmentioning
confidence: 99%
“…Then the same data were studied with basic statistical analyses (mean, maximumphrea, minimum). Moreover, trends and slopes of the data series were calculated with the ProUCL software (Singh et al 2007) using the nonparametrical Mann-Kendall (Kendall 1955;Mann 1945) and the Theil-Sen (Sen 1968) methods, as also performed in previous similar works (Franzke et al 2022;Helsel et al 2020;Mancini et al 2022;Yue and Wang 2002).…”
Section: Methodsmentioning
confidence: 99%
“…The aim of this paper is to explore how climatic variability in northern Italy could affect groundwater in a paddy field area located in eastern part of the Piedmont Region, at the border with the Lombardy Region. In fact, it has been observed in various parts of the world (Liu C 2022;Liu Y 2022;Wang 2022), and also in the study area (Lasagna et al 2020b(Lasagna et al , 2020aMancini et al 2022), that rice cultivation was lately affected by qualitative and quantitative variations in GW, since it uses an agricultural technique that makes heavy use of water resources.…”
Section: Introductionmentioning
confidence: 93%
“…Study, map and define these factors is crucial for decision making. They cite MANCINI, et al [18], in their study in Italy, direct implications as the above on groundwater quality, through four different statistical methodologies where change points, trends, percentile and non-standard anomalies were evaluated to detect inter-annual variations in rainfall amplitude in the region.…”
Section: Anthropic Impacts On Subterranean Watersmentioning
confidence: 99%