The use of interpolation methods for the modelling of environmental data
| Autor: | Rafał Jasiński |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
010504 meteorology & atmospheric sciences
Mean squared error Trilinear interpolation Bilinear interpolation Ocean Engineering 010501 environmental sciences Missing data 01 natural sciences Pollution Multivariate interpolation Nearest-neighbor interpolation Statistics Applied mathematics Bicubic interpolation Spline interpolation 0105 earth and related environmental sciences Water Science and Technology Mathematics |
| Zdroj: | Desalination and Water Treatment. 57:964-970 |
| ISSN: | 1944-3986 1944-3994 |
| DOI: | 10.1080/19443994.2014.1002282 |
| Popis: | The purpose of the study was to provide some practical examples of using interpolation methods for modelling one-dimensional environmental data. Based on the measurement data acquired from the automatic air monitoring station in Warsaw (Poland), simulation of different variants of interpolation of the 1 h average values of air temperature and SO2 concentration was performed. The interpolation was done by three methods, namely, by a linear method with a cubic polynomial and with a cubic spline. The simulation of supplementing the missing values was conducted for test vectors with a varying measurement gap length and the variable margin of extreme adjacent values. Comparison of the obtained modelling results with previously removed actual data was also made. For the assessment of the modelling error, the mean absolute error, the root mean squared error and Willmott’s Index of Agreement were used. High accuracy of modelling was obtained, both for the short and the longer test vector variants, whereas... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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