Title :
Optimization of the Spatial Interpolation for Groundwater Depth in Shule River Basin
Author :
Hua, Zhang ; Dehai, Ma ; Cheng, Wang
Author_Institution :
Hubei Key Lab. of Digital Valley Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
To understand the spatial interpolation optimization laws of groundwater depth, two different methods of spatial interpolation are compared: (1) inverse distance weighting (IDW), (2) Ordinary Kriging (OK), using the recorded data of groundwater depth in the Shule River basin, China, in March from 2001 to 2006. The result indicates that the accuracy of the OK is the highest. After exploratory spatial analysis for groundwater data, it shows that the groundwater depth is characterized by high dispersion, with a few outliers, and a positively skewed distribution. However, data transformation reduces the variances and skewed distribution, and effectively removes various interpolation noises in the interpolation surfaces. The cross-validation results indicate that data transformation can improve accuracy of the OK.
Keywords :
groundwater; hydrological techniques; spatial variables measurement; statistical analysis; AD 2001 03 to 2006; China; Shule river basin; groundwater depth interpolation optimisation; inverse distance weighting; ordinary kriging; Costs; Data analysis; Interpolation; Monitoring; Noise reduction; Optimization methods; Rivers; Spatial databases; Temperature; Uncertainty; Exploratory spatial data analysis; groundwater depth; kriging; spatial interpolation;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.478
