The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden
Drainage networks delineated from Digital Elevation Models (DEMs), are the basis for the modelling of geomorphological and hydrological processes, biogeochemical cycling, and water resources management. Besides providing effective models of water flows, automatically extracted drainage networks base...
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ftslunivuppsala:oai:pub.epsilon.slu.se:19744 2023-05-15T17:44:44+02:00 The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden Yan, Yanzi Lidberg, William Tenenbaum, David E. Pilesjo, Petter 2020 application/pdf https://pub.epsilon.slu.se/19744/ https://pub.epsilon.slu.se/19744/1/yan_y_et_al_201221.pdf en eng eng https://pub.epsilon.slu.se/19744/1/yan_y_et_al_201221.pdf Yan, Yanzi and Lidberg, William and Tenenbaum, David E. and Pilesjo, Petter (2020). The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden. Hydrological Processes. 34 , 5489-5504 [Research article] Oceanography Hydrology Water Resources Research article NonPeerReviewed 2020 ftslunivuppsala 2022-01-09T19:15:48Z Drainage networks delineated from Digital Elevation Models (DEMs), are the basis for the modelling of geomorphological and hydrological processes, biogeochemical cycling, and water resources management. Besides providing effective models of water flows, automatically extracted drainage networks based on topography can diverge from reality to varying degrees. The variability of such disagreement within catchments has rarely been examined as a function of the heterogeneity of land cover, soil type, and slope in the catchment of interest. This research gap might not only substantially limit our knowledge of the uncertainty of hydrological prediction, but can also cause problems for users attempting to use the data at a local scale. Using 1:100000 scale land cover maps, Quaternary deposits maps, and 2 m resolution DEMs, it is found that the accuracy of delineated drainage networks tends to be lower in areas with denser vegetation, lower hydraulic conductivity, and higher erodibility. The findings of this study could serve as a guide for the more thoughtful usage of delineated drainage networks in environmental planning, and in the uncertainty analysis of hydrological and biochemical predictions. Therefore, this study makes a first attempt at filling the knowledge gap described above. Article in Journal/Newspaper Northern Sweden Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive |
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Open Polar |
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Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive |
op_collection_id |
ftslunivuppsala |
language |
English |
topic |
Oceanography Hydrology Water Resources |
spellingShingle |
Oceanography Hydrology Water Resources Yan, Yanzi Lidberg, William Tenenbaum, David E. Pilesjo, Petter The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
topic_facet |
Oceanography Hydrology Water Resources |
description |
Drainage networks delineated from Digital Elevation Models (DEMs), are the basis for the modelling of geomorphological and hydrological processes, biogeochemical cycling, and water resources management. Besides providing effective models of water flows, automatically extracted drainage networks based on topography can diverge from reality to varying degrees. The variability of such disagreement within catchments has rarely been examined as a function of the heterogeneity of land cover, soil type, and slope in the catchment of interest. This research gap might not only substantially limit our knowledge of the uncertainty of hydrological prediction, but can also cause problems for users attempting to use the data at a local scale. Using 1:100000 scale land cover maps, Quaternary deposits maps, and 2 m resolution DEMs, it is found that the accuracy of delineated drainage networks tends to be lower in areas with denser vegetation, lower hydraulic conductivity, and higher erodibility. The findings of this study could serve as a guide for the more thoughtful usage of delineated drainage networks in environmental planning, and in the uncertainty analysis of hydrological and biochemical predictions. Therefore, this study makes a first attempt at filling the knowledge gap described above. |
format |
Article in Journal/Newspaper |
author |
Yan, Yanzi Lidberg, William Tenenbaum, David E. Pilesjo, Petter |
author_facet |
Yan, Yanzi Lidberg, William Tenenbaum, David E. Pilesjo, Petter |
author_sort |
Yan, Yanzi |
title |
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
title_short |
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
title_full |
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
title_fullStr |
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
title_full_unstemmed |
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden |
title_sort |
accuracy of drainage network delineation as a function of environmental factors: a case study in central and northern sweden |
publishDate |
2020 |
url |
https://pub.epsilon.slu.se/19744/ https://pub.epsilon.slu.se/19744/1/yan_y_et_al_201221.pdf |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
https://pub.epsilon.slu.se/19744/1/yan_y_et_al_201221.pdf Yan, Yanzi and Lidberg, William and Tenenbaum, David E. and Pilesjo, Petter (2020). The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden. Hydrological Processes. 34 , 5489-5504 [Research article] |
_version_ |
1766147021481181184 |