Abstract
Precipitation trend analysis, on distinct spatial and temporal aspects, has been of great interest due to the increased attention given to global climate change by the hydro-climatological community. The aim of this study is: 1) to detect precipitation trends using the Mann-Kendall method in annual and monthly time scales at 42 stations in the Urmia Lake Basin (ULB); 2) to evaluate these detected trends in conjunction with the spatial interpolation techniques; namely, inverse distance weighting (IDW), ordinary Kriging (OK) and completely regularised spline (CRS) using GIS model. Results showed that both decreasing and increasing trends was observed at all time scales over the basin. Assessment of interpolation methods exhibited that the OK with an RMSE value of 1.14 was the best interpolation technique according to the cross-validation results. Briefly, the OK technique is concluded as the best method in the interpolation procedures based on the cross-validation and spatial clustering outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 62-81 |
| Number of pages | 20 |
| Journal | International Journal of Hydrology Science and Technology |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 |
Bibliographical note
Publisher Copyright:© 2016 Inderscience Enterprises Ltd.
Keywords
- GIS
- Interpolation techniques
- Precipitation
- Trend analysis
- ULB
- Urmia Lake Basin
