Comparative Analysis of Different Interpolation Methods in Modeling Spatial Distribution of Monthly Precipitation
Journal Title: Doğal Afetler ve Çevre Dergisi - Year 2018, Vol 4, Issue 2
Abstract
For many water resources planning and management studies such as water budget and hydrological modeling, it is very important to estimate areal precipitation from point observation stations. There are many deterministic and geostatistical methods for determining the spatial distribution of precipitation. In this study, the most widely used methods, inverse distance weighting (IDW), Simple Kriging (SK) and Co-Kriging (CK) are applied. It is the main objective of the study that Geographic Information Systems (GIS) techniques are used to compare widely preferred interpolation methods and to model the spatial distribution of monthly precipitation values for prediction in ungauged areas in Akarcay Sinanpasa and Suhut sub-basins, Turkey. At the same time, the effects of number of stations, basin area, characteristics and secondary data usage such as elevation on model performance are investigated. The IDW, a deterministic method and the SK-CK, geostatistical methods are compared with each other by cross validation technique and the applicability of the interpolation techniques for the study areas is analyzed. According to the cross validation test results of IDW, SK and CK methods, the mean RMSE (root mean square error) values of Sinanpasa sub-basin are respectively 13,76 mm, 9,32 mm and 8,72 mm while these values are 9,43 mm, 7,82 mm and 7,90 mm for Suhut sub-basin. Then, uncertainty analysis by means of PSE (prediction standard error) is applied to SK-CK methods with clear advantages over the IDW method and with the close RMSE values. In consideration of the results of the uncertainty analysis, the SK method with the mean PSE values 10,30 mm and 8,54 mm has a little superiority to the CK method whose average PSE values are 11,03 mm and 9,02 mm for both Sinanpasa and Suhut sub-basins, respectively. When the findings are evaluated, it can be seen that all three methods can be used for the study areas. The determination of the spatial distribution of precipitation in this way is considered to be beneficial for many water resources engineering studies in areas of ungauged/sparsely gauged.
Authors and Affiliations
Yılmaz İçağa
Keywords
Related Articles
- EP ID EP664108
- DOI 10.21324/dacd.387061
- Views 163
- Downloads 0
Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
In trend studies, classical approaches such as regression analysis and frequently used Mann-Kendall (MK) methods are bound to lose their usage due to their limitations and assumptions, due to their inability to meet thei...
The Impacts of Blue Stain Degradation on the Industrial Processing Properties of logs
Blue staining leads to significant economic losses because of the changes it causes in the aesthetic characteristics and mechanical shock resistance of log, timber and materials in the usage area. On the other hand, it i...
Kinematic Rupture Process of Manyas (Mw=4.7) and Gemlik (Mw=4.8) Earthquakes Occurred in The Southern Marmara Region
Source characterization and slip history were estimated for two moderate-sized earthquakes which occurred on the southern branch of the North Anatolian Fault zone (NAFz): October 20, 2006 (Mw 4.7) Manyas Earthquake and O...
Investigation of Pesticide Residue Limits in the Surface Water, Case study: Alara Stream in Alanya
Recently, the development of industrial activities and technologies, on the one hand make the human life easier, on the other hand, it decreases the available water resources due to environmental pollution. One of the mo...
Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective
Natural hazard assessments are core to risk definition and early warning systems and play a fundamental role in the prevention of major damages. Traditional hazard identification methods are static. For this reason, new...