Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites
We explore the potential of a multi-criteria selection of donor catchments in the prediction of continuous streamflow series by the spatial proximity method. Three criteria have been used: (1) spatial proximity; (2) physical similarity; (3) stream gauging network topology. An extensive assessmen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-05-01
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| Series: | Proceedings of the International Association of Hydrological Sciences |
| Online Access: | https://www.proc-iahs.net/373/69/2016/piahs-373-69-2016.pdf |
| _version_ | 1811200194648211456 |
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| author | G. Drogue W. B. Khediri C. Conan |
| author_facet | G. Drogue W. B. Khediri C. Conan |
| author_sort | G. Drogue |
| collection | DOAJ |
| description | We explore the potential of a multi-criteria selection of
donor catchments in the prediction of continuous streamflow series by the
spatial proximity method. Three criteria have been used: (1) spatial
proximity; (2) physical similarity; (3) stream gauging network topology. An
extensive assessment of our spatial proximity method variant is made on a
149 catchment-data set located in the Rhine-Meuse catchment. The
competitiveness of the method is evaluated against spatial interpolation of
catchment model parameters with ordinary kriging. We found that the spatial
proximity approach is more efficient than ordinary kriging. When distance to
upstream/downstream stream gauge stations is considered as a second order
criterion in the selection of donor catchments, an unprecedented level of
efficiency is reached for nested catchments. Nevertheless, the spatial
proximity method does not take advantage from physical similarity between
donor catchments and receiver catchments because catchments that are the
most hydrologically similar to each catchment poorly match with the
catchments that are the most physically similar to each catchment. |
| first_indexed | 2024-04-12T02:00:40Z |
| format | Article |
| id | doaj.art-c2bed5b8e5644d8989609b58e795696c |
| institution | Directory Open Access Journal |
| issn | 2199-8981 2199-899X |
| language | English |
| last_indexed | 2024-04-12T02:00:40Z |
| publishDate | 2016-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Proceedings of the International Association of Hydrological Sciences |
| spelling | doaj.art-c2bed5b8e5644d8989609b58e795696c2022-12-22T03:52:41ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2016-05-01373697210.5194/piahs-373-69-2016Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sitesG. Drogue0W. B. Khediri1C. Conan2Laboratoire LOTERR, Université de Lorraine, Metz, 57045 CEDEX 1, FranceLaboratoire LOTERR, Université de Lorraine, Metz, 57045 CEDEX 1, FranceAgence de l'Eau Rhin-Meuse, Moulins Lès Metz, 57161 BP 30019, FranceWe explore the potential of a multi-criteria selection of donor catchments in the prediction of continuous streamflow series by the spatial proximity method. Three criteria have been used: (1) spatial proximity; (2) physical similarity; (3) stream gauging network topology. An extensive assessment of our spatial proximity method variant is made on a 149 catchment-data set located in the Rhine-Meuse catchment. The competitiveness of the method is evaluated against spatial interpolation of catchment model parameters with ordinary kriging. We found that the spatial proximity approach is more efficient than ordinary kriging. When distance to upstream/downstream stream gauge stations is considered as a second order criterion in the selection of donor catchments, an unprecedented level of efficiency is reached for nested catchments. Nevertheless, the spatial proximity method does not take advantage from physical similarity between donor catchments and receiver catchments because catchments that are the most hydrologically similar to each catchment poorly match with the catchments that are the most physically similar to each catchment.https://www.proc-iahs.net/373/69/2016/piahs-373-69-2016.pdf |
| spellingShingle | G. Drogue W. B. Khediri C. Conan Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites Proceedings of the International Association of Hydrological Sciences |
| title | Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites |
| title_full | Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites |
| title_fullStr | Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites |
| title_full_unstemmed | Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites |
| title_short | Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites |
| title_sort | added value from a multi criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control sites |
| url | https://www.proc-iahs.net/373/69/2016/piahs-373-69-2016.pdf |
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