10.1594/PANGAEA.943271Hoyer, MandyMandyHoyerWeber, ArndArndWeber0000-0002-5973-2770PANGAEA2022floodplainnutrientspollutionSoiltrace- and major elementsEvent labelLocation of eventLatitude of eventLongitude of eventUTM Easting, Universal Transverse MercatorUTM Northing, Universal Transverse MercatorElevation of eventDEPTH, soilDepth, soil, minimumDepth, soil, maximumCommentRiver kilometerEuclidean DistanceFlow distanceFlood duration, annual meanElevation, differenceSize fraction 63-2 mmSize fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sandSize fraction 1.000-0.630 mmSize fraction 0.630-0.200 mm, medium sandSize fraction 0.200-0.125 mm, fine sandSize fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sandSize fraction 2.000-0.630 mm, coarse sandSize fraction 0.063-0.020 mm, coarse siltSize fraction 0.020-0.0063 mm, medium siltSize fraction 0.0063-0.002 mm, fine siltSize fraction 0.063-0.002 mm, silt, mudSize fraction < 0.002 mm, claySize fraction < 2.0 mmSize fraction < 0.063 mm, mud, silt+clayResidue, drypH, soilEffective cation exchange capacityEffective sodium ion exchange capacityEffective potassium exchange capacityEffective magnesium exchange capacityEffective calcium exchange capacityPotential cation exchange capacityPotential sodium exchange capacityPotential potassium exchange capacityPotential magnesium exchange capacityPotential calcium exchange capacityCarbon, organic, totalNitrogen, totalCalcium carbonatePhosphorus, totalPhosphorus, plant-availablePotassium, plant-availableMagnesium, plant-availableNitrogen, as plant-available ammoniumNitrogen, as plant-available nitrateNitrogen, mineral-boundIron, dithionite-solvableIron, oxalate-solvableMoisture indexManganese, soluble in dithioniteManganese, soluble in oxalateArsenicLeadCadmiumChromiumCopperNickelMercuryZincNaphthaleneAcenaphthyleneAcenaphtheneFluorenePhenanthreneAnthraceneFluoranthenePyreneBenz(a)anthraceneChryseneBenzo(a)anthracenereneDibenzo(a,h)anthraceneBenzo(b)fluorantheneBenzo(k)fluorantheneIndeno(1,2,3-cd)pyreneBenzo(g,h,i)perylenePolychlorinated biphenyl 28Polychlorinated biphenyl 52Polychlorinated biphenyl 101Polychlorinated biphenyl 118Polychlorinated biphenyl 138Polychlorinated biphenyl 153Polychlorinated biphenyl 180Polychlorinated biphenyl sum (pcb_28 + pcb_52 + pcb_101 + pcb_138 + pcb_153 + pcb_180)alpha-Hexachlorocyclohexanebeta-Hexachlorocyclohexanegamma-Hexachlorocyclohexaneortho,para-Dichlorodiphenyldichloroethanepara,para-Dichlorodiphenyldichloroethaneortho,para-Dichlorodiphenyldichloroethylenepara,para-Dichlorodiphenyldichloroethyleneortho,para-Dichlorodiphenyltrichloroethanepara,para-Dichlorodiphenyltrichloroethane1,2,3-Trichlorobenzene1,3,5-Trichlorobenzene1,2,4-Trichlorobenzene1,2,3,4-Tetrachlorobenzene1,2,3,5-Tetrachlorobenzene1,2,4,5-TetrachlorobenzenePentachlorobenzeneHexachlorobenzeneHexachlorbutadieneInorganic contamination indexOrganic contamination indexContamination indexEdelman augerAtlas, Wasserstrassen- und Schiffahrtsverwaltung des Bunder.grow.distanceLength of a COST-based flow path following the Elbe DEM to the wetted area of the floodplain at mean low-flow discharge (MLQ) (FLYS3)hydflood::flood3Elbe DEM, FLYS3DIN ISO 17892-4:2016CalculatedDIN ISO 11465:1996-12; DIN EN 14346:2007-03DIN ISO 10390:2005-02; DIN EN 12176:1998-06DIN EN ISO 11260:2018-11DIN ISO 13536:1997-04DIN ISO 10694:1996-08/DIN EN 13137: 2001-12/DIN EN 15936:2012-11DIN EN 16168:2012-11Calculated from TOCDIN ISO 22036:2009-06VDLUFA volume I A 6.2.1.2DIN EN ISO 12782-2:2012-09DIN 19684-6:1997-12DIN EN ISO 17294-2-E29:2017-01 and prior digestion according to DIN EN 16174:2012-11/DIN EN 13657:2003-01Converted from the analytical results in the <63 µm fraction to the <2000 µm fraction using the grain size fractionsDIN ISO 18287: 2006-05DIN EN ISO 10382:2003-05/DIN EN 15308:2016-12DIN EN ISO 10382:2003-05Converted from the <2000 µm fraction to the <63 µm fraction using the grain size fractionsMultiple linear regression of the concentrations of toxic metals and arsenic; followed by Normalization stepMultiple linear regression of the concentrations of all analyzed organic pollutants; followed by Normalization stepMultiple linear regression of the concentrations of all analyzed organic pollutants in the <63 ¬µm fraction; followed by Normalization stepElBiota_2020ElBiota - Lateral connectivity and biodiversity of the Elbe floodplains (ElBiota)2020-05-25T00:00:00/2020-09-09T00:00:00Datasethttps://www.hywa-online.de/download/hywa-heft-6-2022/26835 data pointstext/tab-separated-valuesCreative Commons Attribution-ShareAlike 4.0 InternationalThe goal of the project was to understand the impact of lateral hydraulic connectivity on the pollution patterns in floodplain soils. Floodplain soils were sampled during summer and autumn 2020 on 89 sites along River Elbe following the German Federal Soil Protection and Contaminated Sites Ordinance (12 July 1999) (Bundes-Bodenschutz- und Altlastenverordnung (BBodSchV)). Five subsamples of topsoil (0 – 10 cm) and subsoil (45 – 55 cm) were taken on each 4 m x 4 m plot and combined to one gross sample each.
By sieving the dried samples were separated into 12 grain size fractions (2-63 mm, 1-2 mm, 0.63-1 mm, 0.2-0.63 mm, 0.125-0.2 mm, 0.063-0.125 mm, 0.063-2mm, 0.02-0.063 mm, 0.0063-0.02 mm, 0.002-0.0063 mm, 0.002-0.063 mm, <0.002 mm). Further laboratory analyses were carried out following recent DIN standards. Inorganic pollutants (As, Cd, Cr, Cu, Hg, Ni, Pb and Zn) were analyzed in the soil fraction <63 µm; organic micro-pollutants (polycyclic aromatic hydrocarbons (PAH), polychlorinated biphenyls (PCB) and organochlorine pesticides) in the fraction <2 mm. The analysis of nutrients and additional soil parameters was carried out in the fraction <2 mm and the total sample, respectively. The concentrations of the organic micro-pollutants were converted to the <63 µm fraction to be able to compare samples of different grain size distributions. The concentrations of the inorganic pollutants were converted to the <2 mm fraction for evaluating them according to the limit values defined in the German Federal Soil Protection and Contaminated Sites Ordinance (12 July 1999). Analytic values below the limit of quantification were replaced by the actual limit itself.
A pollutant index for both inorganic trace pollutants and organic disruptors was calculated using multiple linear regression obtained by factor analysis without rotation.
Additional environmental variables (flood duration, Euclidean distance to the river axis, river stationing) were modeled, computed or queried by GIS within the ElBiota project (https://elbiota.bafg.de).11.1368112.947351.6185553.16704ElsnigBösewigSchönberg-DeichJasebeck