Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River
Bathymetric measurements play an important role in assessing the sedimentation rate, deposition of pollutants, erosion rate, or monitoring of morphological changes in a river, lake, or accumulation basin. In order to create a coherent and continuous digital elevation model (DEM) of a river bed, vari...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-11-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/8/11/507 |
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| author | Maxim Arseni Mirela Voiculescu Lucian Puiu Georgescu Catalina Iticescu Adrian Rosu |
| author_facet | Maxim Arseni Mirela Voiculescu Lucian Puiu Georgescu Catalina Iticescu Adrian Rosu |
| author_sort | Maxim Arseni |
| collection | DOAJ |
| description | Bathymetric measurements play an important role in assessing the sedimentation rate, deposition of pollutants, erosion rate, or monitoring of morphological changes in a river, lake, or accumulation basin. In order to create a coherent and continuous digital elevation model (DEM) of a river bed, various data interpolation methods are used, especially when single-beam bathymetric measurements do not cover the entire area and when there are areas which are not measured. Interpolation methods are based on numerical models applied to natural landscapes (e.g., meandering river) by taking into account various morphometric and morphologies and a wide range of scales. Obviously, each interpolation method, used in standard or customised form, yields different results. This study aims at testing four interpolation methods in order to determine the most appropriate method which will give an accurate description of the riverbed, based on single-beam bathymetric measurements. The four interpolation methods selected in the present research are: inverse distance weighting (IDW), radial basis function (RBF) with completely regularized spline (CRS) which uses deterministic interpolation, simple kriging (KRG) which is a geo-statistical method, and Topo to Raster (TopoR), a particular method specifically designed for creating continuous surfaces from various elevation points, contour, or polygon data, suitable for creating surfaces for hydrologic analysis. Digital elevation models (DEM’s) were statistically analyzed and precision and errors were evaluated. The single-beam bathymetric measurements were made on the Siret River, between 0 and 35 km. To check and validate the methods, the experiment was repeated for five randomly selected cross-sections in a 1500 m section of the river. The results were then compared with the data extracted from each elevation model generated with each of the four interpolation methods. Our results show that: 1) TopoR is the most accurate technique, and 2) the two deterministic methods give large errors in bank areas, for the entire river channel and for the particular cross-sections. |
| first_indexed | 2024-12-20T07:16:56Z |
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| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-20T07:16:56Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-9d00f60131fc4790946d9bd78f70f1052022-12-21T19:48:46ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-11-0181150710.3390/ijgi8110507ijgi8110507Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret RiverMaxim Arseni0Mirela Voiculescu1Lucian Puiu Georgescu2Catalina Iticescu3Adrian Rosu4Faculty of Science and Environment, European Center of Excellence for the Environment, “Dunarea de Jos” University of Galati, 111, Domneasca Street, 800201 Galati, RomaniaFaculty of Science and Environment, European Center of Excellence for the Environment, “Dunarea de Jos” University of Galati, 111, Domneasca Street, 800201 Galati, RomaniaFaculty of Science and Environment, European Center of Excellence for the Environment, “Dunarea de Jos” University of Galati, 111, Domneasca Street, 800201 Galati, RomaniaFaculty of Science and Environment, European Center of Excellence for the Environment, “Dunarea de Jos” University of Galati, 111, Domneasca Street, 800201 Galati, RomaniaFaculty of Science and Environment, European Center of Excellence for the Environment, “Dunarea de Jos” University of Galati, 111, Domneasca Street, 800201 Galati, RomaniaBathymetric measurements play an important role in assessing the sedimentation rate, deposition of pollutants, erosion rate, or monitoring of morphological changes in a river, lake, or accumulation basin. In order to create a coherent and continuous digital elevation model (DEM) of a river bed, various data interpolation methods are used, especially when single-beam bathymetric measurements do not cover the entire area and when there are areas which are not measured. Interpolation methods are based on numerical models applied to natural landscapes (e.g., meandering river) by taking into account various morphometric and morphologies and a wide range of scales. Obviously, each interpolation method, used in standard or customised form, yields different results. This study aims at testing four interpolation methods in order to determine the most appropriate method which will give an accurate description of the riverbed, based on single-beam bathymetric measurements. The four interpolation methods selected in the present research are: inverse distance weighting (IDW), radial basis function (RBF) with completely regularized spline (CRS) which uses deterministic interpolation, simple kriging (KRG) which is a geo-statistical method, and Topo to Raster (TopoR), a particular method specifically designed for creating continuous surfaces from various elevation points, contour, or polygon data, suitable for creating surfaces for hydrologic analysis. Digital elevation models (DEM’s) were statistically analyzed and precision and errors were evaluated. The single-beam bathymetric measurements were made on the Siret River, between 0 and 35 km. To check and validate the methods, the experiment was repeated for five randomly selected cross-sections in a 1500 m section of the river. The results were then compared with the data extracted from each elevation model generated with each of the four interpolation methods. Our results show that: 1) TopoR is the most accurate technique, and 2) the two deterministic methods give large errors in bank areas, for the entire river channel and for the particular cross-sections.https://www.mdpi.com/2220-9964/8/11/507interpolationriver bathymetrysingle-beam echosounderriver cross-sectionsiret river |
| spellingShingle | Maxim Arseni Mirela Voiculescu Lucian Puiu Georgescu Catalina Iticescu Adrian Rosu Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River ISPRS International Journal of Geo-Information interpolation river bathymetry single-beam echosounder river cross-section siret river |
| title | Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River |
| title_full | Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River |
| title_fullStr | Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River |
| title_full_unstemmed | Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River |
| title_short | Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River |
| title_sort | testing different interpolation methods based on single beam echosounder river surveying case study siret river |
| topic | interpolation river bathymetry single-beam echosounder river cross-section siret river |
| url | https://www.mdpi.com/2220-9964/8/11/507 |
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