|
|
|
|
| LEADER |
06329cam a2201033 4500 |
| 001 |
0-880804505 |
| 003 |
DE-627 |
| 005 |
20221005095901.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
170223s2017 gw |||||om 00| ||eng c |
| 016 |
7 |
|
|a 1177601524
|2 DE-101
|
| 024 |
7 |
|
|a urn:nbn:de:gbv:27-dbt-20170223-1157210
|2 urn
|
| 035 |
|
|
|a (DE-627)880804505
|
| 035 |
|
|
|a (DE-576)9880804503
|
| 035 |
|
|
|a (DE-599)GBV880804505
|
| 035 |
|
|
|a (OCoLC)973478185
|
| 035 |
|
|
|a (DE-101)1177601524
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XA-DE-TH
|
| 082 |
0 |
4 |
|a 550
|q DE-101
|
| 084 |
|
|
|a TZ 9510
|q SEPA
|2 rvk
|0 (DE-625)rvk/145184:
|
| 084 |
|
|
|a 38.86
|2 bkl
|
| 100 |
1 |
|
|a Schüler, Lennart
|d 1985-
|e VerfasserIn
|0 (DE-588)1122649029
|0 (DE-627)875956785
|0 (DE-576)481408320
|4 aut
|
| 245 |
1 |
0 |
|a Filtered density functions for uncertainty assessments of transport in groundwater
|c von Dipl.-Phys. Lennart Schüler
|
| 264 |
|
1 |
|a Jena
|c 2017
|
| 300 |
|
|
|a Online-Ressource (116 Seiten)
|b Illustrationen, Diagramme
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Kumulative Dissertation, enthält Zeitschriftenaufsätze
|
| 502 |
|
|
|b Dissertation
|c Friedrich-Schiller-Universität
|d 2016
|
| 520 |
|
|
|a It is estimated that fifty percent of the drinking water is extracted from groundwater sources. But the groundwater quality is threatened by contaminants. Risk assessments are applied to geohydrological systems in order to estimate if they pose a risk through groundwater pollution. These risks not only depend on the impact of the contaminants, but also on the their propagation in the groundwater. Properties of the subsurface have a strong impact on the groundwater flow and therefore also on the transport of solutes. The scarcity of data together with the heterogeneity of the subsurface can cause the uncertainty of the transport predictions to be so large that they cannot be neglected. Consequently, the uncertainty needs to be included in the risk assessments. This is possible by using a geostatistical representation of the subsurface, which results in a probabilistic description of the transport processes. Probability density function (PDF) methods provide an integrated framework to predict the transport of solutes in which uncertainties are incorporated seamlessly. But PDF methods require the assumption of a statistically homogeneous conductivity field. This is problematic. Using spatially averaged quantities instead of stochastic averages, an alternative to PDF methods is found: the filtered density function (FDF) methods. The aim of the research presented here is to develop such an FDF method for predicting the transport in groundwater. Therefore, three steps are necessary. An efficient and accurate numerical solver for FDF equations needs to be developed. In a second step, the parameters contained by the equations have to be filtered. And finally, an appropriate mixing model needs to be found for approximating the unclosed mixing term. The mixing term is of particular interest because it has a direct impact on the uncertainty evolution. In summary, this work contributes towards the development of an FDF framework applied to the transport in groundwater.
|
| 546 |
|
|
|a Zusammenfassungen in deutscher und englischer Sprache
|
| 583 |
1 |
|
|a Archivierung/Langzeitarchivierung gewährleistet
|2 pdager
|5 DE-27
|
| 655 |
|
7 |
|a Hochschulschrift
|0 (DE-588)4113937-9
|0 (DE-627)105825778
|0 (DE-576)209480580
|2 gnd-content
|
| 689 |
0 |
0 |
|D s
|0 (DE-588)4026309-5
|0 (DE-627)106288717
|0 (DE-576)208966013
|a Hydrologie
|2 gnd
|
| 689 |
0 |
1 |
|D s
|0 (DE-588)4296576-7
|0 (DE-627)104140380
|0 (DE-576)210988347
|a Schadstofftransport
|2 gnd
|
| 689 |
0 |
|
|5 (DE-627)
|
| 710 |
2 |
|
|a Friedrich-Schiller-Universität Jena
|e Grad-verleihende Institution
|0 (DE-588)36164-1
|0 (DE-627)100833012
|0 (DE-576)190344695
|4 dgg
|
| 751 |
|
|
|a Jena
|0 (DE-588)4028557-1
|0 (DE-627)104814411
|0 (DE-576)208977872
|4 uvp
|
| 776 |
0 |
8 |
|i Erscheint auch als
|n Druck-Ausgabe
|a Schüler, Lennart, 1985 -
|t Filtered density functions for uncertainty assessments of transport in groundwater
|d Jena, 2016
|h VI, 104 Seiten
|w (DE-627)876132131
|
| 856 |
4 |
0 |
|u https://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170223-1157210
|x Langzeitarchivierung
|x Resolving-System
|z kostenfrei
|3 Volltext
|
| 856 |
4 |
0 |
|u http://d-nb.info/1177601524/34
|v 2019-08-23
|x Langzeitarchivierung Nationalbibliothek
|3 Volltext
|
| 856 |
4 |
0 |
|u https://www.db-thueringen.de/receive/dbt_mods_00031733
|v 2019-08-23
|x Verlag
|z kostenfrei
|3 Volltext
|
| 912 |
|
|
|a GBV-ODiss
|
| 936 |
r |
v |
|a TZ 9510
|b Grundwasserströmung, Sickerströmung
|k Angewandte Geologie
|k Ingenieurgeologie
|k Wasserbau
|k Grundwasserströmung, Sickerströmung
|0 (DE-627)1441341234
|0 (DE-625)rvk/145184:
|0 (DE-576)37134123X
|
| 936 |
b |
k |
|a 38.86
|j Grundwasser
|0 (DE-627)106406957
|
| 951 |
|
|
|a BO
|
| 856 |
4 |
0 |
|u https://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170223-1157210
|9 LFER
|
| 852 |
|
|
|a LFER
|z 2019-07-22T00:00:00Z
|
| 970 |
|
|
|c OD
|
| 971 |
|
|
|c EBOOK
|
| 972 |
|
|
|c EBOOK
|
| 973 |
|
|
|c EB
|
| 935 |
|
|
|a lfer
|
| 910 |
|
|
|a Universität Jena
|
| 910 |
|
|
|a Friedrich-Schiller-Universität Jena
|
| 910 |
|
|
|a Rektor
|
| 910 |
|
|
|a FSU
|
| 910 |
|
|
|a FSU Jena
|
| 910 |
|
|
|a Schiller-Universität Jena
|
| 910 |
|
|
|a Alma Mater Jenensis
|
| 910 |
|
|
|a Jenskij Gosudarstvennyj Universitet Imeni Fridricha Šillera
|
| 910 |
|
|
|a Gosudarstvennyj Universitet Imeni Fridricha Šillera
|
| 910 |
|
|
|a Jena
|
| 910 |
|
|
|a Universitet Imeni Fridricha Šillera
|
| 910 |
|
|
|a Friedrich Schiller University
|
| 910 |
|
|
|a Schiller University
|
| 910 |
|
|
|a Universitas Litterarum Jenensis
|
| 910 |
|
|
|a Universitas Litterarum Ienensis
|
| 910 |
|
|
|a University of Jena
|
| 910 |
|
|
|a University
|
| 910 |
|
|
|a Universidad Friedrich Schiller
|
| 910 |
|
|
|a Thüringische Landesuniversität Jena
|
| 950 |
|
|
|a Gewässerkunde
|
| 950 |
|
|
|a Hydrographie
|
| 950 |
|
|
|a Hydrografie
|
| 950 |
|
|
|a Gewässerforschung
|
| 950 |
|
|
|a Wasserforschung
|
| 950 |
|
|
|a Geowissenschaften
|
| 950 |
|
|
|a Hydrologe
|
| 950 |
|
|
|a Hydrologin
|
| 950 |
|
|
|a Гидрология
|
| 950 |
|
|
|a Schadstoff
|
| 950 |
|
|
|a Transport
|
| 950 |
|
|
|a Transportprozess
|
| 951 |
|
|
|b XA-DE
|
| 980 |
|
|
|a 880804505
|b 0
|k 880804505
|o 9880804503
|c lfer
|
SOLR
| _version_ |
1750535641307807744 |
| access_facet |
Electronic Resources |
| author |
Schüler, Lennart |
| author_corporate |
Friedrich-Schiller-Universität Jena |
| author_corporate_role |
dgg |
| author_facet |
Schüler, Lennart, Friedrich-Schiller-Universität Jena |
| author_role |
aut |
| author_sort |
Schüler, Lennart 1985- |
| author_variant |
l s ls |
| callnumber-sort |
|
| collection |
GBV-ODiss, lfer |
| contents |
It is estimated that fifty percent of the drinking water is extracted from groundwater sources. But the groundwater quality is threatened by contaminants. Risk assessments are applied to geohydrological systems in order to estimate if they pose a risk through groundwater pollution. These risks not only depend on the impact of the contaminants, but also on the their propagation in the groundwater. Properties of the subsurface have a strong impact on the groundwater flow and therefore also on the transport of solutes. The scarcity of data together with the heterogeneity of the subsurface can cause the uncertainty of the transport predictions to be so large that they cannot be neglected. Consequently, the uncertainty needs to be included in the risk assessments. This is possible by using a geostatistical representation of the subsurface, which results in a probabilistic description of the transport processes. Probability density function (PDF) methods provide an integrated framework to predict the transport of solutes in which uncertainties are incorporated seamlessly. But PDF methods require the assumption of a statistically homogeneous conductivity field. This is problematic. Using spatially averaged quantities instead of stochastic averages, an alternative to PDF methods is found: the filtered density function (FDF) methods. The aim of the research presented here is to develop such an FDF method for predicting the transport in groundwater. Therefore, three steps are necessary. An efficient and accurate numerical solver for FDF equations needs to be developed. In a second step, the parameters contained by the equations have to be filtered. And finally, an appropriate mixing model needs to be found for approximating the unclosed mixing term. The mixing term is of particular interest because it has a direct impact on the uncertainty evolution. In summary, this work contributes towards the development of an FDF framework applied to the transport in groundwater. |
| ctrlnum |
(DE-627)880804505, (DE-576)9880804503, (DE-599)GBV880804505, (OCoLC)973478185, (DE-101)1177601524 |
| dewey-full |
550 |
| dewey-hundreds |
500 - Science |
| dewey-ones |
550 - Earth sciences |
| dewey-raw |
550 |
| dewey-search |
550 |
| dewey-sort |
3550 |
| dewey-tens |
550 - Earth sciences & geology |
| facet_912a |
GBV-ODiss |
| facet_avail |
Online, Free |
| facet_local_del330 |
Hydrologie, Schadstofftransport |
| finc_class_facet |
Geologie und Paläontologie, Geographie |
| fincclass_txtF_mv |
science-geology, engineering-water, science-hydrology |
| footnote |
Kumulative Dissertation, enthält Zeitschriftenaufsätze |
| format |
eBook, Thesis |
| format_access_txtF_mv |
Thesis |
| format_de105 |
Ebook |
| format_de14 |
Book, E-Book |
| format_de15 |
Book, E-Book |
| format_del152 |
Buch |
| format_detail_txtF_mv |
text-online-monograph-independent-thesis |
| format_dezi4 |
e-Book |
| format_finc |
Book, E-Book, Thesis |
| format_legacy |
ElectronicBook |
| format_legacy_nrw |
Book, E-Book |
| format_nrw |
Book, E-Book |
| format_strict_txtF_mv |
E-Thesis |
| genre |
Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content |
| genre_facet |
Hochschulschrift |
| geogr_code |
not assigned |
| geogr_code_person |
Germany |
| id |
0-880804505 |
| illustrated |
Not Illustrated |
| imprint |
Jena, 2017 |
| imprint_str_mv |
Jena, 2017 |
| institution |
DE-D117, DE-105, LFER, DE-Ch1, DE-15, DE-14, DE-Zwi2 |
| is_hierarchy_id |
|
| is_hierarchy_title |
|
| isil_str_mv |
LFER |
| kxp_id_str |
880804505 |
| language |
English |
| last_indexed |
2022-11-26T05:34:40.001Z |
| local_heading_facet_dezwi2 |
Hydrologie, Schadstofftransport |
| marc024a_ct_mv |
urn:nbn:de:gbv:27-dbt-20170223-1157210 |
| match_str |
schuler2017filtereddensityfunctionsforuncertaintyassessmentsoftransportingroundwater |
| mega_collection |
Verbunddaten SWB, Lizenzfreie Online-Ressourcen |
| misc_de105 |
EBOOK |
| names_id_str_mv |
(DE-588)1122649029, (DE-627)875956785, (DE-576)481408320, (DE-588)36164-1, (DE-627)100833012, (DE-576)190344695 |
| oclc_num |
973478185 |
| physical |
Online-Ressource (116 Seiten); Illustrationen, Diagramme |
| publishDate |
2017 |
| publishDateSort |
2017 |
| publishPlace |
Jena |
| publisher |
|
| record_format |
marcfinc |
| record_id |
9880804503 |
| recordtype |
marcfinc |
| rvk_facet |
TZ 9510 |
| rvk_label |
Angewandte Geologie, Ingenieurgeologie, Wasserbau, Grundwasserströmung, Sickerströmung |
| rvk_path |
TY - TZ, TZ 9500 - TZ 9540, TZ 9510, TE - TZ, TZ 9000 - TZ 9730 |
| rvk_path_str_mv |
TY - TZ, TZ 9500 - TZ 9540, TZ 9510, TE - TZ, TZ 9000 - TZ 9730 |
| source_id |
0 |
| spelling |
Schüler, Lennart 1985- VerfasserIn (DE-588)1122649029 (DE-627)875956785 (DE-576)481408320 aut, Filtered density functions for uncertainty assessments of transport in groundwater von Dipl.-Phys. Lennart Schüler, Jena 2017, Online-Ressource (116 Seiten) Illustrationen, Diagramme, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Kumulative Dissertation, enthält Zeitschriftenaufsätze, Dissertation Friedrich-Schiller-Universität 2016, It is estimated that fifty percent of the drinking water is extracted from groundwater sources. But the groundwater quality is threatened by contaminants. Risk assessments are applied to geohydrological systems in order to estimate if they pose a risk through groundwater pollution. These risks not only depend on the impact of the contaminants, but also on the their propagation in the groundwater. Properties of the subsurface have a strong impact on the groundwater flow and therefore also on the transport of solutes. The scarcity of data together with the heterogeneity of the subsurface can cause the uncertainty of the transport predictions to be so large that they cannot be neglected. Consequently, the uncertainty needs to be included in the risk assessments. This is possible by using a geostatistical representation of the subsurface, which results in a probabilistic description of the transport processes. Probability density function (PDF) methods provide an integrated framework to predict the transport of solutes in which uncertainties are incorporated seamlessly. But PDF methods require the assumption of a statistically homogeneous conductivity field. This is problematic. Using spatially averaged quantities instead of stochastic averages, an alternative to PDF methods is found: the filtered density function (FDF) methods. The aim of the research presented here is to develop such an FDF method for predicting the transport in groundwater. Therefore, three steps are necessary. An efficient and accurate numerical solver for FDF equations needs to be developed. In a second step, the parameters contained by the equations have to be filtered. And finally, an appropriate mixing model needs to be found for approximating the unclosed mixing term. The mixing term is of particular interest because it has a direct impact on the uncertainty evolution. In summary, this work contributes towards the development of an FDF framework applied to the transport in groundwater., Zusammenfassungen in deutscher und englischer Sprache, Archivierung/Langzeitarchivierung gewährleistet pdager DE-27, Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content, s (DE-588)4026309-5 (DE-627)106288717 (DE-576)208966013 Hydrologie gnd, s (DE-588)4296576-7 (DE-627)104140380 (DE-576)210988347 Schadstofftransport gnd, (DE-627), Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg, Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp, Erscheint auch als Druck-Ausgabe Schüler, Lennart, 1985 - Filtered density functions for uncertainty assessments of transport in groundwater Jena, 2016 VI, 104 Seiten (DE-627)876132131, https://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170223-1157210 Langzeitarchivierung Resolving-System kostenfrei Volltext, http://d-nb.info/1177601524/34 2019-08-23 Langzeitarchivierung Nationalbibliothek Volltext, https://www.db-thueringen.de/receive/dbt_mods_00031733 2019-08-23 Verlag kostenfrei Volltext, https://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170223-1157210 LFER, LFER 2019-07-22T00:00:00Z |
| spellingShingle |
Schüler, Lennart, Filtered density functions for uncertainty assessments of transport in groundwater, It is estimated that fifty percent of the drinking water is extracted from groundwater sources. But the groundwater quality is threatened by contaminants. Risk assessments are applied to geohydrological systems in order to estimate if they pose a risk through groundwater pollution. These risks not only depend on the impact of the contaminants, but also on the their propagation in the groundwater. Properties of the subsurface have a strong impact on the groundwater flow and therefore also on the transport of solutes. The scarcity of data together with the heterogeneity of the subsurface can cause the uncertainty of the transport predictions to be so large that they cannot be neglected. Consequently, the uncertainty needs to be included in the risk assessments. This is possible by using a geostatistical representation of the subsurface, which results in a probabilistic description of the transport processes. Probability density function (PDF) methods provide an integrated framework to predict the transport of solutes in which uncertainties are incorporated seamlessly. But PDF methods require the assumption of a statistically homogeneous conductivity field. This is problematic. Using spatially averaged quantities instead of stochastic averages, an alternative to PDF methods is found: the filtered density function (FDF) methods. The aim of the research presented here is to develop such an FDF method for predicting the transport in groundwater. Therefore, three steps are necessary. An efficient and accurate numerical solver for FDF equations needs to be developed. In a second step, the parameters contained by the equations have to be filtered. And finally, an appropriate mixing model needs to be found for approximating the unclosed mixing term. The mixing term is of particular interest because it has a direct impact on the uncertainty evolution. In summary, this work contributes towards the development of an FDF framework applied to the transport in groundwater., Hochschulschrift, Hydrologie, Schadstofftransport |
| swb_id_str |
9880804503 |
| title |
Filtered density functions for uncertainty assessments of transport in groundwater |
| title_auth |
Filtered density functions for uncertainty assessments of transport in groundwater |
| title_full |
Filtered density functions for uncertainty assessments of transport in groundwater von Dipl.-Phys. Lennart Schüler |
| title_fullStr |
Filtered density functions for uncertainty assessments of transport in groundwater von Dipl.-Phys. Lennart Schüler |
| title_full_unstemmed |
Filtered density functions for uncertainty assessments of transport in groundwater von Dipl.-Phys. Lennart Schüler |
| title_short |
Filtered density functions for uncertainty assessments of transport in groundwater |
| title_sort |
filtered density functions for uncertainty assessments of transport in groundwater |
| topic |
Hochschulschrift, Hydrologie, Schadstofftransport |
| topic_facet |
Hochschulschrift, Hydrologie, Schadstofftransport |
| url |
https://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170223-1157210, http://d-nb.info/1177601524/34, https://www.db-thueringen.de/receive/dbt_mods_00031733 |
| urn |
urn:nbn:de:gbv:27-dbt-20170223-1157210 |
