A new spatial interpolation method based on crosssections sampling

Huang, Guoxian, Lin, Binliang ORCID: https://orcid.org/0000-0001-8622-5822, Zhou, Juntao and Falconer, Roger Alexander ORCID: https://orcid.org/0000-0001-5960-2864 2014. A new spatial interpolation method based on crosssections sampling. Presented at: 11th International Conference on Hydroinformatics, New York, NY, 17-21 August 2014. Proceedings of 11th International Conference on Hydroinformatics. R49 New York, USA: City University of New York (CUNY),

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Abstract

Conventional interpolation methods such as TIN, Kriging and IDW can give good results when the resolution of sampling data is dense enough. However, the spatial distribution of source data sampled using the classical cross-section method for river studies may have large spaces along the longitudinal directions and small spaces along the transverse directions. The above interpolation methods may not be able to accurate interpolation results. In the current study, anew interpolation method is proposed, in which the river region is represented by a set of curvilinear grids. A linear interpolation is undertaken first along the lateral direction and then along the longitudinal direction. The application shows that the new method can give more reasonable results than TIN, IDW and Kriging methods when cross-sectional sampling data are used. The method is applied to the topographic interpolation for the Yangtze River in China and the Ribble River in the UK.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Submission
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	City University of New York (CUNY)
Last Modified:	14 Aug 2024 09:30
URI:	https://orca.cardiff.ac.uk/id/eprint/67756

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