A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation
Hydrologists usually gain insights into topographic variability by using a high-performance algorithm to estimate the catchment area from a digital elevation model (DEM) image. In the literature, the grid-based algorithms are more popular than the contour-based algorithms; however, the existing ones...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10175533/ |
| _version_ | 1797780121847857152 |
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| author | Ajalawit Chantaveerod Kampol Woradit Andrew Seagar Thunyawat Limpiti |
| author_facet | Ajalawit Chantaveerod Kampol Woradit Andrew Seagar Thunyawat Limpiti |
| author_sort | Ajalawit Chantaveerod |
| collection | DOAJ |
| description | Hydrologists usually gain insights into topographic variability by using a high-performance algorithm to estimate the catchment area from a digital elevation model (DEM) image. In the literature, the grid-based algorithms are more popular than the contour-based algorithms; however, the existing ones cannot reduce the error when higher resolution DEM is available. This paper introduces a new contour-based algorithm, formulated with the physically-based concept, to estimate catchment from contour-based DEM data. The formulation was derived from the semi-analytical solution of Laplace’s partial differential equation based on the boundary element method (BEM). With this approach, the algorithm can estimate the catchment area along the smooth surface water paths (SWPs), which are delineated from the physically-based algorithm. The proposed algorithm was validated with the standard synthetic surfaces, where the theoretical specific catchment areas (SCAs) for error assessment are exactly known. When estimating the SCAs with ordinary resolution, the average error of the estimated SCAs is between 14.19 and 2.32%, but the average error from the popular grid-based algorithms is between 77.8 and 17.0 %. With higher resolutions, between 12.5 and 0.88 meters, the proposed algorithm significantly reduces the average error from 15 to 0.8%. |
| first_indexed | 2024-03-12T23:40:00Z |
| format | Article |
| id | doaj.art-b6ebb08da72d41e696d15412d13264b5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T23:40:00Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b6ebb08da72d41e696d15412d13264b52023-07-14T23:00:10ZengIEEEIEEE Access2169-35362023-01-0111701327015210.1109/ACCESS.2023.329339910175533A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area CalculationAjalawit Chantaveerod0https://orcid.org/0000-0002-6664-9641Kampol Woradit1https://orcid.org/0000-0001-7383-0361Andrew Seagar2Thunyawat Limpiti3https://orcid.org/0000-0001-5642-5874Department of Electrical Engineering, School of Engineering and Technology, Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat, ThailandDepartment of Computer Engineering, Faculty of Engineering, Optimized AI Systems for Energy and Environmental Sustainability Research Group, Chiang Mai University, Chiang Mai, ThailandSchool of Engineering and the Built Environment, Griffith University, Gold Coast Campus, Southport, QLD, AustraliaDepartment of Electrical Engineering, School of Engineering and Technology, Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat, ThailandHydrologists usually gain insights into topographic variability by using a high-performance algorithm to estimate the catchment area from a digital elevation model (DEM) image. In the literature, the grid-based algorithms are more popular than the contour-based algorithms; however, the existing ones cannot reduce the error when higher resolution DEM is available. This paper introduces a new contour-based algorithm, formulated with the physically-based concept, to estimate catchment from contour-based DEM data. The formulation was derived from the semi-analytical solution of Laplace’s partial differential equation based on the boundary element method (BEM). With this approach, the algorithm can estimate the catchment area along the smooth surface water paths (SWPs), which are delineated from the physically-based algorithm. The proposed algorithm was validated with the standard synthetic surfaces, where the theoretical specific catchment areas (SCAs) for error assessment are exactly known. When estimating the SCAs with ordinary resolution, the average error of the estimated SCAs is between 14.19 and 2.32%, but the average error from the popular grid-based algorithms is between 77.8 and 17.0 %. With higher resolutions, between 12.5 and 0.88 meters, the proposed algorithm significantly reduces the average error from 15 to 0.8%.https://ieeexplore.ieee.org/document/10175533/Digital elevation model (DEM)boundary element method (BEM)catchment estimationphysically-based algorithms |
| spellingShingle | Ajalawit Chantaveerod Kampol Woradit Andrew Seagar Thunyawat Limpiti A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation IEEE Access Digital elevation model (DEM) boundary element method (BEM) catchment estimation physically-based algorithms |
| title | A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation |
| title_full | A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation |
| title_fullStr | A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation |
| title_full_unstemmed | A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation |
| title_short | A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation |
| title_sort | novel catchment estimation for super resolution dem with physically based algorithms surface water path delineation and specific catchment area calculation |
| topic | Digital elevation model (DEM) boundary element method (BEM) catchment estimation physically-based algorithms |
| url | https://ieeexplore.ieee.org/document/10175533/ |
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