date: 2016-02-11T11:47:03Z pdf:PDFVersion: 1.5 pdf:docinfo:title: Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin xmp:CreatorTool: LaTeX with hyperref package access_permission:can_print_degraded: true subject: Eco-hydrological water quality modeling for integrated water resources management of river basins should include all necessary landscape and in-stream nutrient processes as well as possible changes in boundary conditions and driving forces for nutrient behavior in watersheds. The study aims to assess possible impacts of the changing climate (ENSEMBLES climate scenarios) and/or land use conditions on resulting river water quantity and quality in the large-scale Elbe river basin by applying a semi-distributed watershed model of intermediate complexity (SWIM) with implemented in-stream nutrient (N+P) turnover and algal growth processes. The calibration and validation results revealed the ability of SWIM to satisfactorily simulate nutrient behavior at the watershed scale. Analysis of 19 climate scenarios for the whole Elbe river basin showed a projected increase in temperature (+3 C) and precipitation (+57 mm) on average until the end of the century, causing diverse changes in river discharge (+20%), nutrient loads (NO3-N: -5%; NH4-N: -24%; PO4-P: +5%), phytoplankton biomass (-4%) and dissolved oxygen concentration (-5%) in the watershed. In addition, some changes in land use and nutrient management were tested in order to reduce nutrient emissions to the river network. dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin modified: 2016-02-11T11:47:03Z cp:subject: Eco-hydrological water quality modeling for integrated water resources management of river basins should include all necessary landscape and in-stream nutrient processes as well as possible changes in boundary conditions and driving forces for nutrient behavior in watersheds. The study aims to assess possible impacts of the changing climate (ENSEMBLES climate scenarios) and/or land use conditions on resulting river water quantity and quality in the large-scale Elbe river basin by applying a semi-distributed watershed model of intermediate complexity (SWIM) with implemented in-stream nutrient (N+P) turnover and algal growth processes. The calibration and validation results revealed the ability of SWIM to satisfactorily simulate nutrient behavior at the watershed scale. Analysis of 19 climate scenarios for the whole Elbe river basin showed a projected increase in temperature (+3 C) and precipitation (+57 mm) on average until the end of the century, causing diverse changes in river discharge (+20%), nutrient loads (NO3-N: -5%; NH4-N: -24%; PO4-P: +5%), phytoplankton biomass (-4%) and dissolved oxygen concentration (-5%) in the watershed. In addition, some changes in land use and nutrient management were tested in order to reduce nutrient emissions to the river network. pdf:docinfo:subject: Eco-hydrological water quality modeling for integrated water resources management of river basins should include all necessary landscape and in-stream nutrient processes as well as possible changes in boundary conditions and driving forces for nutrient behavior in watersheds. The study aims to assess possible impacts of the changing climate (ENSEMBLES climate scenarios) and/or land use conditions on resulting river water quantity and quality in the large-scale Elbe river basin by applying a semi-distributed watershed model of intermediate complexity (SWIM) with implemented in-stream nutrient (N+P) turnover and algal growth processes. The calibration and validation results revealed the ability of SWIM to satisfactorily simulate nutrient behavior at the watershed scale. Analysis of 19 climate scenarios for the whole Elbe river basin showed a projected increase in temperature (+3 C) and precipitation (+57 mm) on average until the end of the century, causing diverse changes in river discharge (+20%), nutrient loads (NO3-N: -5%; NH4-N: -24%; PO4-P: +5%), phytoplankton biomass (-4%) and dissolved oxygen concentration (-5%) in the watershed. In addition, some changes in land use and nutrient management were tested in order to reduce nutrient emissions to the river network. pdf:docinfo:creator: Cornelia Hesse and Valentina Krysanova PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.15 (TeX Live 2014/W32TeX) kpathsea version 6.2.0 meta:author: Cornelia Hesse and Valentina Krysanova trapped: False meta:creation-date: 2016-01-28T05:52:37Z created: Thu Jan 28 06:52:37 CET 2016 access_permission:extract_for_accessibility: true Creation-Date: 2016-01-28T05:52:37Z Author: Cornelia Hesse and Valentina Krysanova producer: pdfTeX-1.40.15 pdf:docinfo:producer: pdfTeX-1.40.15 dc:description: Eco-hydrological water quality modeling for integrated water resources management of river basins should include all necessary landscape and in-stream nutrient processes as well as possible changes in boundary conditions and driving forces for nutrient behavior in watersheds. The study aims to assess possible impacts of the changing climate (ENSEMBLES climate scenarios) and/or land use conditions on resulting river water quantity and quality in the large-scale Elbe river basin by applying a semi-distributed watershed model of intermediate complexity (SWIM) with implemented in-stream nutrient (N+P) turnover and algal growth processes. The calibration and validation results revealed the ability of SWIM to satisfactorily simulate nutrient behavior at the watershed scale. Analysis of 19 climate scenarios for the whole Elbe river basin showed a projected increase in temperature (+3 C) and precipitation (+57 mm) on average until the end of the century, causing diverse changes in river discharge (+20%), nutrient loads (NO3-N: -5%; NH4-N: -24%; PO4-P: +5%), phytoplankton biomass (-4%) and dissolved oxygen concentration (-5%) in the watershed. In addition, some changes in land use and nutrient management were tested in order to reduce nutrient emissions to the river network. Keywords: Elbe river basin; water quality modeling; in-stream processes; nutrients; SWIM; climate change impact assessment; ENSEMBLES; management change impacts access_permission:modify_annotations: true dc:creator: Cornelia Hesse and Valentina Krysanova description: Eco-hydrological water quality modeling for integrated water resources management of river basins should include all necessary landscape and in-stream nutrient processes as well as possible changes in boundary conditions and driving forces for nutrient behavior in watersheds. The study aims to assess possible impacts of the changing climate (ENSEMBLES climate scenarios) and/or land use conditions on resulting river water quantity and quality in the large-scale Elbe river basin by applying a semi-distributed watershed model of intermediate complexity (SWIM) with implemented in-stream nutrient (N+P) turnover and algal growth processes. The calibration and validation results revealed the ability of SWIM to satisfactorily simulate nutrient behavior at the watershed scale. Analysis of 19 climate scenarios for the whole Elbe river basin showed a projected increase in temperature (+3 C) and precipitation (+57 mm) on average until the end of the century, causing diverse changes in river discharge (+20%), nutrient loads (NO3-N: -5%; NH4-N: -24%; PO4-P: +5%), phytoplankton biomass (-4%) and dissolved oxygen concentration (-5%) in the watershed. In addition, some changes in land use and nutrient management were tested in order to reduce nutrient emissions to the river network. dcterms:created: 2016-01-28T05:52:37Z Last-Modified: 2016-02-11T11:47:03Z dcterms:modified: 2016-02-11T11:47:03Z title: Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin xmpMM:DocumentID: uuid:9adf5d3b-9f44-4f69-a76c-0f4c21fa0b66 Last-Save-Date: 2016-02-11T11:47:03Z pdf:docinfo:keywords: Elbe river basin; water quality modeling; in-stream processes; nutrients; SWIM; climate change impact assessment; ENSEMBLES; management change impacts pdf:docinfo:modified: 2016-02-11T11:47:03Z meta:save-date: 2016-02-11T11:47:03Z pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.15 (TeX Live 2014/W32TeX) kpathsea version 6.2.0 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Cornelia Hesse and Valentina Krysanova dc:subject: Elbe river basin; water quality modeling; in-stream processes; nutrients; SWIM; climate change impact assessment; ENSEMBLES; management change impacts access_permission:assemble_document: true xmpTPg:NPages: 32 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: Elbe river basin; water quality modeling; in-stream processes; nutrients; SWIM; climate change impact assessment; ENSEMBLES; management change impacts access_permission:can_modify: true pdf:docinfo:created: 2016-01-28T05:52:37Z