TY - DATA
T1 - Data underlying the article: A geometrical method for quantifying mixing fractions in three-component groundwater mixing: experimental evidence from Ferrarelle aquifers
PY - 2021/03/16
AU - Emilio Cuoco
AU - Stefano Viaroli
AU - Thomas H. Darrah
AU - Vittorio Paolucci
AU - Roberto Mazza
AU - Dario Tedesco
UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_article_A_geometrical_method_for_quantifying_mixing_fractions_in_three-component_groundwater_mixing_experimental_evidence_from_Ferrarelle_aquifers/14216519/1
DO - 10.4121/14216519.v1
KW - data analysis.ResultsA
KW - aquifer recharge
KW - hydrogeochemical variability
KW - hydrogeological
N2 - <p>In this file the chemical analyses  of groundwater samples from Ferrarelle aquifers
(Riardo plain, southern Italy) and related data elaborations are reported. The
data elaborations consist in correlations computing and fractions estimation of
the investigated groundwater three component mixing.</p>

<p>The dataset consists in four sheets:</p>

<p>1) "Row data" sheet reports the monthly chemical analyses of sampled
groundwater from each well analyzed for major ions, minor and trace elements
(IC and ICPMS analyses).</p>

<p>2) "correlation matrix" sheet reports the correlations
computed among all the analyzed chemical variables.</p>

<p>3) "algebraic mixing computations" reports the computing of
three component mixing fractions through the traditional mass balance equations
 and the related uncertainties. </p>

<p>4) " EMMA mixing
computations" reports the computing of three component mixing fractions through
EndMember Mixing Analysis (EMMA method) and the related uncertainties.</p>
ER -