Experimental data from column and batch samples


Autoria(s): Lager, Tanja
Data(s)

24/02/2004

Resumo

The presented thesis was written in the frame of a project called 'seepage water prognosis'. It was funded by the Federal Ministry for Education and Science (BMBF). 41 German institutions among them research institutes of universities, public authorities and engineering companies were financed for three years respectively. The aim was to work out the scientific basis that is needed to carry out a seepage water prognosis (Oberacker und Eberle, 2002). According to the Federal German Soil Protection Act (Federal Bulletin, 1998) a seepage water prognosis is required in order to avoid future soil impacts from the application of recycling products. The participants focused on the development of either methods to determine the source strength of the materials investigated, which is defined as the total mass flow caused by natural leaching or on models to predict the contaminants transport through the underlying soil. Annual meetings of all participants as well as separate meetings of the two subprojects were held. The department of Geosciences in Bremen participated with two subprojects. The aim of the subproject that resulted in this thesis was the development of easily applicable, valid, and generally accepted laboratory methods for the determination of the source strength. In the scope of the second subproject my colleague Veith Becker developed a computer model for the transport prognosis with the source strength as the main input parameter.

Formato

application/zip, 49 datasets

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.776653

doi:10.1594/PANGAEA.776653

Idioma(s)

en

Publicador

PANGAEA

Relação

Delay, Markus; Lager, Tanja; Schulz, Horst D; Frimmel, Fritz H (2007): Comparison of leaching tests to determine and quantify the release of inorganic contaminants in demolition waste. Waste Management, 27(2), 248-255, doi:10.1016/j.wasman.2006.01.013

Lager, Tanja; Delay, Markus; Karius, Volker; Hamer, Kay; Frimmel, Fritz H; Schulz, Horst D (2006): Determination and quantification of the release of inorganic contaminants from municipal waste incineration ash. Acta hydrochimica et hydrobiologica, 34(1-2), 73-85, doi:10.1002/aheh.200500610

Lager, Tanja; Hamer, Kay; Schröter, Jürgen; Schulz, Horst D (2003): Predicting the source strength of different recycling materials - methods and preliminary results. In: Schulz, H D; Hadeler, A (eds.) Geochemical processes in soil and groundwater - Measurement - Modelling - Upscaling (Proceedings GeoProc2002), Wiley-VCH Verlag, ISBN-10: 3-527-27766-8, 450-467

Lager, Tanja; Hamer, Kay; Schulz, Horst D (2005): Mobility of heavy metals in harbour sediments: an environmental aspect for the reuse of contaminated dredged sediments. Environmental Geology, 48(1), 92-100, doi:10.1007/s00254-005-1269-3

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Lager, Tanja (2004): Predicting the source strength of recycling materials within the scope of a seepage water prognosis by means of standardized laboratory methods. Berichte aus dem Fachbereich Geowissenschaften der Universität Bremen, 239, 141 pp, urn:nbn:de:gbv:46-diss000101449

Palavras-Chave #[SO4]2-; Acid/Base neutralization capacity ratio; Al; Al std dev; Aluminium; Aluminium, standard deviation; ANC/BNC; Arsenic; Arsenic, standard deviation; As; As std dev; Ba; Barium; Barium, standard deviation; Ba std dev; Ca; Ca2+; Cadmium; Cadmium, standard deviation; Calcium; Calcium, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon, total; Ca std dev; Cd; Cd std dev; Chloride; Chromium; Chromium, standard deviation; Cl; Cl-; Co; Cobalt; Cobalt, standard deviation; Cond; Conductivity; Conductivity, hydraulic; Copper; Copper, standard deviation; Co std dev; Cr; Cr std dev; Cu; Cu std dev; Density, wet bulk; Diameter; DIC; Distance; DISTANCE; DOC; dry; Dry volume; Eh; Energy dispersive polarization X-ray fluorescence spectrometer (EDP-XRF); EXP; Experiment; Experiment_02WP0142; Fe; Fe std dev; Flow in; Flow out; Flow rate; Flow rate in; Flow rate out; GeoB; Geosciences, University of Bremen; Iron; Iron, standard deviation; K; K+; kf; K std dev; l; Label; Lead; Lead, standard deviation; Length; Liq/S; Liquid/solid ratio; Magnesium; Magnesium, standard deviation; Manganese; Manganese, standard deviation; Manganese 2+; maximum; Mg; Mg2+; Mg std dev; Microwave digestion (MLS Ethos 1600); minimum; Mn; Mn2+; Mn std dev; Mo; Molybdenum; Molybdenum, standard deviation; Mo std dev; Na; Na+; Na std dev; Ni; Nickel; Nickel, standard deviation; Ni std dev; Nitrate; NO3-; O2 sat; of column; original; Oxidation reduction (RedOx) potential; Oxygen saturation; P; Pb; Pb std dev; pH; Phosphorus; Poros; Porosity; Potassium; Potassium, standard deviation; S; Sample code/label; Sample mass; Sample volume; Samp m; Samp vol; Si; Silicon; Silicon, standard deviation; Si std dev; Sodium; Sodium, standard deviation; Specific surface area; Sr; Sr2+; Sr std dev; SSA; S std dev; Strontium; Strontium, standard deviation; Sulfate; Sulfur; Sulfur, standard deviation; Sulfur, total; TC; TIC; Time; Time in days; TOC; V; Va; Vanadium; Vanadium, standard deviation; Vf; Volume; V std dev; Water content of wet mass; Water wm; WBD; Zinc; Zinc, standard deviation; Zn; Zn std dev; Ø
Tipo

Dataset