Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour
Soil water simulations on hydrological meso- or macroscale require parameters that describe the physical characteristics of the soil. At these scales, information regarding soil properties is mostly only available on very coarse spatial resolutions with texture based soil characterisations, where it...
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MDPI AG
2019-05-01
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Online Access: | https://www.mdpi.com/2076-3263/9/5/206 |
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author | Phillip Kreye Marlene Gelleszun Manickam Somasundaram Günter Meon |
author_facet | Phillip Kreye Marlene Gelleszun Manickam Somasundaram Günter Meon |
author_sort | Phillip Kreye |
collection | DOAJ |
description | Soil water simulations on hydrological meso- or macroscale require parameters that describe the physical characteristics of the soil. At these scales, information regarding soil properties is mostly only available on very coarse spatial resolutions with texture based soil characterisations, where it is difficult to select representative soil hydraulic parameters. We improved the parameter estimation by introducing a new soil classification system, which is based on soil hydraulic behaviour in order to realistically reproduce the soil water interaction within meso-scaled hydrological models. The time series of soil water flux were simulated based on one million different parameterisations, which were then utilised for similarity analyses while applying the k-means clustering. The resulting classes show a different pattern when compared to the United States Department of Agriculture (USDA) texture based classes. Representative time series of water flux representative of the new classes were compared to time series of the USDA texture classification. The new classes show remarkably lower uncertainties. The bandwidth of the time series within a class is orders of magnitudes higher for the USDA system when compared to the new system. The evaluation of similarity of the simulated water flux time series within one and the same class were also clearly better for the new system. |
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language | English |
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spelling | doaj.art-5c77ec0c686748fe9db8c47b75b3d9652022-12-21T18:23:41ZengMDPI AGGeosciences2076-32632019-05-019520610.3390/geosciences9050206geosciences9050206Classification of Hydrological Relevant Parameters by Soil Hydraulic BehaviourPhillip Kreye0Marlene Gelleszun1Manickam Somasundaram2Günter Meon3Institute of Technology Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Department of Hydrology, Water Resources Management and Water Protection, University of Braunschweig, Beethovenstr. 51a, Braunschweig D-38106, GermanyInstitute of Technology Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Department of Hydrology, Water Resources Management and Water Protection, University of Braunschweig, Beethovenstr. 51a, Braunschweig D-38106, GermanyInstitute of Technology Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Department of Hydrology, Water Resources Management and Water Protection, University of Braunschweig, Beethovenstr. 51a, Braunschweig D-38106, GermanyInstitute of Technology Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Department of Hydrology, Water Resources Management and Water Protection, University of Braunschweig, Beethovenstr. 51a, Braunschweig D-38106, GermanySoil water simulations on hydrological meso- or macroscale require parameters that describe the physical characteristics of the soil. At these scales, information regarding soil properties is mostly only available on very coarse spatial resolutions with texture based soil characterisations, where it is difficult to select representative soil hydraulic parameters. We improved the parameter estimation by introducing a new soil classification system, which is based on soil hydraulic behaviour in order to realistically reproduce the soil water interaction within meso-scaled hydrological models. The time series of soil water flux were simulated based on one million different parameterisations, which were then utilised for similarity analyses while applying the k-means clustering. The resulting classes show a different pattern when compared to the United States Department of Agriculture (USDA) texture based classes. Representative time series of water flux representative of the new classes were compared to time series of the USDA texture classification. The new classes show remarkably lower uncertainties. The bandwidth of the time series within a class is orders of magnitudes higher for the USDA system when compared to the new system. The evaluation of similarity of the simulated water flux time series within one and the same class were also clearly better for the new system.https://www.mdpi.com/2076-3263/9/5/206soil hydraulic parameterisationsoil hydraulic behavioursoil water simulationtexture classificationhydrological scaleshydrological modelling |
spellingShingle | Phillip Kreye Marlene Gelleszun Manickam Somasundaram Günter Meon Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour Geosciences soil hydraulic parameterisation soil hydraulic behaviour soil water simulation texture classification hydrological scales hydrological modelling |
title | Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour |
title_full | Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour |
title_fullStr | Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour |
title_full_unstemmed | Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour |
title_short | Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour |
title_sort | classification of hydrological relevant parameters by soil hydraulic behaviour |
topic | soil hydraulic parameterisation soil hydraulic behaviour soil water simulation texture classification hydrological scales hydrological modelling |
url | https://www.mdpi.com/2076-3263/9/5/206 |
work_keys_str_mv | AT phillipkreye classificationofhydrologicalrelevantparametersbysoilhydraulicbehaviour AT marlenegelleszun classificationofhydrologicalrelevantparametersbysoilhydraulicbehaviour AT manickamsomasundaram classificationofhydrologicalrelevantparametersbysoilhydraulicbehaviour AT guntermeon classificationofhydrologicalrelevantparametersbysoilhydraulicbehaviour |