A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses

Diffuse phosphorus (P) losses are the main cause for eutrophication of surface waters in many regions. Implementing mitigation measures on critical source areas (CSAs) is seen to be the most effective way to reduce P losses. Thus, tools are needed that delineate CSAs on the basis of available data....

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Main Authors: C. Hahn, V. Prasuhn, C. Stamm, D. G. Milledge, R. Schulin
Format: Article
Language:English
Published: Copernicus Publications 2014-08-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/18/2975/2014/hess-18-2975-2014.pdf
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author C. Hahn
V. Prasuhn
C. Stamm
D. G. Milledge
R. Schulin
author_facet C. Hahn
V. Prasuhn
C. Stamm
D. G. Milledge
R. Schulin
author_sort C. Hahn
collection DOAJ
description Diffuse phosphorus (P) losses are the main cause for eutrophication of surface waters in many regions. Implementing mitigation measures on critical source areas (CSAs) is seen to be the most effective way to reduce P losses. Thus, tools are needed that delineate CSAs on the basis of available data. We compared three models based on different approaches and sets of input data: the rainfall-runoff-phosphorus (RRP) model, the dominant runoff processes (DoRP) model, and the Sensitive Catchment Integrated Modeling Analysis Platform (SCIMAP). The RRP model is a parsimonious dynamic model using the topographic index and a binary soil classification to simulate discharge and P losses. The DoRP model distinguishes eight soil classes based on soil and geological maps. It does not account for topography when calculating runoff. SCIMAP assesses runoff risks solely on the basis of topography using the network index. Compared to surface runoff and soil moisture data available from a catchment in Switzerland, the RRP model and SCIMAP made better predictions than the DoRP model, suggesting that in our study area topography was more important for CSA delineation than soil data. Based on the results, we suggest improvements of SCIMAP to enable average risk predictions and the comparison of risk predictions between catchments.
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spelling doaj.art-c6fd89cf0f354fbc974ad22c6ae397ea2022-12-22T03:48:35ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382014-08-011882975299110.5194/hess-18-2975-2014A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus lossesC. Hahn0V. Prasuhn1C. Stamm2D. G. Milledge3R. Schulin4ETH Zurich, Department of Environmental Systems Science, Zurich, SwitzerlandAgroscope Reckenholz-Tänikon Research Station ART, Zurich, SwitzerlandEawag Swiss Federal Institute of Aquatic Science and Technology, Zurich, SwitzerlandDurham University, Department of Geography, Durham, UKETH Zurich, Department of Environmental Systems Science, Zurich, SwitzerlandDiffuse phosphorus (P) losses are the main cause for eutrophication of surface waters in many regions. Implementing mitigation measures on critical source areas (CSAs) is seen to be the most effective way to reduce P losses. Thus, tools are needed that delineate CSAs on the basis of available data. We compared three models based on different approaches and sets of input data: the rainfall-runoff-phosphorus (RRP) model, the dominant runoff processes (DoRP) model, and the Sensitive Catchment Integrated Modeling Analysis Platform (SCIMAP). The RRP model is a parsimonious dynamic model using the topographic index and a binary soil classification to simulate discharge and P losses. The DoRP model distinguishes eight soil classes based on soil and geological maps. It does not account for topography when calculating runoff. SCIMAP assesses runoff risks solely on the basis of topography using the network index. Compared to surface runoff and soil moisture data available from a catchment in Switzerland, the RRP model and SCIMAP made better predictions than the DoRP model, suggesting that in our study area topography was more important for CSA delineation than soil data. Based on the results, we suggest improvements of SCIMAP to enable average risk predictions and the comparison of risk predictions between catchments.http://www.hydrol-earth-syst-sci.net/18/2975/2014/hess-18-2975-2014.pdf
spellingShingle C. Hahn
V. Prasuhn
C. Stamm
D. G. Milledge
R. Schulin
A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
Hydrology and Earth System Sciences
title A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
title_full A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
title_fullStr A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
title_full_unstemmed A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
title_short A comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
title_sort comparison of three simple approaches to identify critical areas for runoff and dissolved reactive phosphorus losses
url http://www.hydrol-earth-syst-sci.net/18/2975/2014/hess-18-2975-2014.pdf
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