Arid
DOI10.3390/agronomy11081535
Comparison of Different Interpolation Methods for Prediction of Soil Salinity in Arid Irrigation Region in Northern China
Fu, Tonggang; Gao, Hui; Liu, Jintong
通讯作者Liu, JT (corresponding author), Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Key Lab Agr Water Resources, Shijiazhuang 050022, Hebei, Peoples R China. ; Liu, JT (corresponding author), Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Hebei Key Lab Soil Ecol, Shijiazhuang 050022, Hebei, Peoples R China.
来源期刊AGRONOMY-BASEL
EISSN2073-4395
出版年2021
卷号11期号:8
英文摘要Numerous methods have been used in the spatial prediction of soil salinity. However, the most suitable method is still unknown in arid irrigation regions. In this paper, 78 locations were sampled in salt-affected land caused by irrigation in an arid area in northern China. The geostatistical characteristics of the soil pH, Sodium Adsorption Ratio (SAR), Total Salt Content (TSC), and Soil Organic Matter (SOM) of the surface (0-20 cm) and subsurface (20-40 cm) layers were analyzed. The abilities of the Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and CoKriging (CK) interpolation methods were compared, and the Root Mean Square Error (RMSE) was used to justify the results of the methods. The results showed that the spatial distributions of the soil properties obtained using the different interpolation methods were similar. However, the surface layer exhibits more spatial heterogeneity than the subsurface layer. Based on the RSME, the nugget/sill value and range significantly affected which method was the most suitable. Lower nugget/sill values and lower ranges can be fitted using the IDW method, but higher nugget/sill values and higher ranges can be fitted using the OK method. These results provide a valuable reference for the prediction of soil salinity.
英文关键词geostatistics interpolation kriging inverse distance weighting sodium adsorption ratio
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000688723100001
WOS关键词SPATIAL-DISTRIBUTION ; ELECTRICAL-CONDUCTIVITY ; WATER ; VARIABILITY ; DISTRICT ; SODIUM ; AREAS ; PLAIN ; PH
WOS类目Agronomy ; Plant Sciences
WOS研究方向Agriculture ; Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/362412
作者单位[Fu, Tonggang; Gao, Hui; Liu, Jintong] Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Key Lab Agr Water Resources, Shijiazhuang 050022, Hebei, Peoples R China; [Fu, Tonggang; Gao, Hui; Liu, Jintong] Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Hebei Key Lab Soil Ecol, Shijiazhuang 050022, Hebei, Peoples R China
推荐引用方式
GB/T 7714
Fu, Tonggang,Gao, Hui,Liu, Jintong. Comparison of Different Interpolation Methods for Prediction of Soil Salinity in Arid Irrigation Region in Northern China[J],2021,11(8).
APA Fu, Tonggang,Gao, Hui,&Liu, Jintong.(2021).Comparison of Different Interpolation Methods for Prediction of Soil Salinity in Arid Irrigation Region in Northern China.AGRONOMY-BASEL,11(8).
MLA Fu, Tonggang,et al."Comparison of Different Interpolation Methods for Prediction of Soil Salinity in Arid Irrigation Region in Northern China".AGRONOMY-BASEL 11.8(2021).
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