{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:62432"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:62432","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Zeitskalenübergreifende Berücksichtigung von partikulärem Stofftransport in einer Langfrist-Gewässergüteprognose für Fließgewässer","abstract":"An adequate tool for preparing long term plans for water management is the probabilistic water quality prediction. Because of the long simulation period, and numerous repeated, stochastic varied calculations normally a static calculation with large time steps is used. Withal the erosion process at flood events, which is also important for long term water quality development in the catchment area, proceed on a short time scale. Therefore erosion cannot be considered adequately by rough time-discretised long term models. For considering short term processes with long term effects relevant short term processes have to be included in the modelling. This thesis deals with the consequent integration of short term processes in a Monte-Carlo-based long term water quality prediction. The new developed model LGpro is presented, which uses for long term calculation a time step of one month and simulates the relevant hydraulic, transport, transformation and sediment processes. In this simulation short term calculations of flood events are nested, which solve in an unsteady way all processes with time steps of few minutes. For construction the hydraulic, water quality and sediment modules from literature suitable approaches are chosen. Afterwards the severals moduls are validated. With one synthetic and one practical example the usage and the benefit of the new model LGpro is demonstrated. The time nested approach makes a better consideration of unsteady erosion processes in rivers possible and affords a better long term water quality prediction in catchment areas.","abstract_html":"An adequate tool for preparing long term plans for water management is the probabilistic water quality prediction. Because of the long simulation period, and numerous repeated, stochastic varied calculations normally a static calculation with large time steps is used. Withal the erosion process at flood events, which is also important for long term water quality development in the catchment area, proceed on a short time scale. Therefore erosion cannot be considered adequately by rough time-discretised long term models. For considering short term processes with long term effects relevant short term processes have to be included in the modelling. This thesis deals with the consequent integration of short term processes in a Monte-Carlo-based long term water quality prediction. The new developed model LGpro is presented, which uses for long term calculation a time step of one month and simulates the relevant hydraulic, transport, transformation and sediment processes. In this simulation short term calculations of flood events are nested, which solve in an unsteady way all processes with time steps of few minutes. For construction the hydraulic, water quality and sediment modules from literature suitable approaches are chosen. Afterwards the severals moduls are validated. With one synthetic and one practical example the usage and the benefit of the new model LGpro is demonstrated. The time nested approach makes a better consideration of unsteady erosion processes in rivers possible and affords a better long term water quality prediction in catchment areas.","abstract_has_math":false,"creators":["Schonlau, Henning Ulf"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Köngeter, Jürgen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007","date_published":"2007","updated_at":"2026-07-30T19:43:28Z","subjects":["info:eu-repo/classification/ddc/620","Eisen","Phosphor","Schwebstoff","Wassergüte","Gewässergütemodellierung","Ingenieurwissenschaften","Sediment","Spree","Zeitskalen","diffusive Welle","diffusive wave","instationär","kinematische Welle","particulate mass transport","stationär","time scale effects","water quality"],"languages":["ger"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-124001%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-124001%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-124001%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/62432","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Köngeter, Jürgen"]},{"key":"dc:creator","label":"Author","values":["Schonlau, Henning Ulf"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2007"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-19877"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/620","Eisen","Phosphor","Schwebstoff","Wassergüte","Gewässergütemodellierung","Ingenieurwissenschaften","Sediment","Spree","Zeitskalen","diffusive Welle","diffusive wave","instationär","kinematische Welle","particulate mass transport","stationär","time scale effects","water quality"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["ger"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/62432","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-124001%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["An adequate tool for preparing long term plans for water management is the probabilistic water quality prediction. Because of the long simulation period, and numerous repeated, stochastic varied calculations normally a static calculation with large time steps is used. Withal the erosion process at flood events, which is also important for long term water quality development in the catchment area, proceed on a short time scale. Therefore erosion cannot be considered adequately by rough time-discretised long term models. For considering short term processes with long term effects relevant short term processes have to be included in the modelling. This thesis deals with the consequent integration of short term processes in a Monte-Carlo-based long term water quality prediction. The new developed model LGpro is presented, which uses for long term calculation a time step of one month and simulates the relevant hydraulic, transport, transformation and sediment processes. In this simulation short term calculations of flood events are nested, which solve in an unsteady way all processes with time steps of few minutes. For construction the hydraulic, water quality and sediment modules from literature suitable approaches are chosen. Afterwards the severals moduls are validated. With one synthetic and one practical example the usage and the benefit of the new model LGpro is demonstrated. The time nested approach makes a better consideration of unsteady erosion processes in rivers possible and affords a better long term water quality prediction in catchment areas."]},{"key":"dc:source","label":"Dc Source","values":["Aachen : Publikationsserver der RWTH Aachen University XIV, 203 S. : Ill., graph. Darst. (2007). = Aachen, Techn. Hochsch., Diss., 2007"]},{"key":"dc:title","label":"Title","values":["Zeitskalenübergreifende Berücksichtigung von partikulärem Stofftransport in einer Langfrist-Gewässergüteprognose für Fließgewässer"]}]}],"canonical_facts":{"dc:contributor":["Köngeter, Jürgen"],"dc:coverage":["DE"],"dc:creator":["Schonlau, Henning Ulf"],"dc:date":["2007"],"dc:description":["An adequate tool for preparing long term plans for water management is the probabilistic water quality prediction. Because of the long simulation period, and numerous repeated, stochastic varied calculations normally a static calculation with large time steps is used. Withal the erosion process at flood events, which is also important for long term water quality development in the catchment area, proceed on a short time scale. Therefore erosion cannot be considered adequately by rough time-discretised long term models. 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