| The variability of surface layer soil water content under plastic mulch dripping before and after irrigation |
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| DOI：10.7606/j.issn.1000-7601.2016.01.07 |
| Key Words: plastic mulch drip irrigation surface layer soil water content spatial correlation Kriging |
| Author Name | Affiliation | | TAN Shuai | State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | WANG Quan-jiu | State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | LUO Xiao-dong | State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | MA Yuan | State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China |
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| Abstract: |
| In this research, classical statistics and geostatistics were combined to research the characteristics of spatial variability for surface layer soil water content in a area of 20 m×20 m cotton field by dripping under mulch before and after the irrigation. The primary results showed that the variation coefficients (CV) for surface layer soil water before and after irrigation were 28.7% and 21.8%, respectively, exhibiting moderate variability. The particle distribution could provide a basis for the variations in CV of water content before and after irrigation. Additionally, the semivariogarm function for surface layer soil water content before and after irrigation could be described well by Gaussian model (R2). The corresponding ratios of spatial heterogeneity (C0/(C0+C)) were 0.201 and 0.324, respectively, indicating strong and moderate spatial dependences, respectively. After irrigation, the spatial autocorrelation of surface layer soil water content became decreased. The reference sample step lag of study region could be adopted by 4.373 m. Moreover, Moran’s I for surface layer soil moisture before and after irrigation followed similar trends with the lag distance. The autocorrelation of surface layer soil water content before irrigation was more significant than that after irrigation. Lastly, the results of Kriging interpolation showed that spatial distributions for water content before and after irrigation were similar and showed obvious variabilities. Water content after irrigation was more complex than that before irrigation. |
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