Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin

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 asses...

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Main Authors: Cornelia Hesse, Valentina Krysanova
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/8/2/40
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spelling doaj-a9a868772ef949f7a0a6d716ba642d0f2020-11-25T00:36:36ZengMDPI AGWater2073-44412016-01-01824010.3390/w8020040w8020040Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River BasinCornelia Hesse0Valentina Krysanova1Potsdam-Institute for Climate Impact Research, Post Box 601203, Potsdam 14412, GermanyPotsdam-Institute for Climate Impact Research, Post Box 601203, Potsdam 14412, GermanyEco-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.http://www.mdpi.com/2073-4441/8/2/40Elbe river basinwater quality modelingin-stream processesnutrientsSWIMclimate change impact assessmentENSEMBLESmanagement change impacts
collection DOAJ
language English
format Article
sources DOAJ
author Cornelia Hesse
Valentina Krysanova
spellingShingle Cornelia Hesse
Valentina Krysanova
Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
Water
Elbe river basin
water quality modeling
in-stream processes
nutrients
SWIM
climate change impact assessment
ENSEMBLES
management change impacts
author_facet Cornelia Hesse
Valentina Krysanova
author_sort Cornelia Hesse
title Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
title_short Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
title_full Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
title_fullStr Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
title_full_unstemmed Modeling Climate and Management Change Impacts on Water Quality and In-Stream Processes in the Elbe River Basin
title_sort modeling climate and management change impacts on water quality and in-stream processes in the elbe river basin
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2016-01-01
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.
topic Elbe river basin
water quality modeling
in-stream processes
nutrients
SWIM
climate change impact assessment
ENSEMBLES
management change impacts
url http://www.mdpi.com/2073-4441/8/2/40
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AT valentinakrysanova modelingclimateandmanagementchangeimpactsonwaterqualityandinstreamprocessesintheelberiverbasin
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