Spatial variability of soil Cd content based on IDW and RBF in Fujiang River, Mianyang, China
- PDF / 1,123,520 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 21 Downloads / 221 Views
SOILS, SEC 5 • SOIL AND LANDSCAPE ECOLOGY • RESEARCH ARTICLE
Spatial variability of soil Cd content based on IDW and RBF in Fujiang River, Mianyang, China Jie Sheng 1 & Ping Yu 1 & Hongnv Zhang 1 & Zilong Wang 1 Received: 9 December 2019 / Accepted: 13 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Purpose Establishing the spatial distribution of soil properties in agro-ecosystems is critical to increasing the productivity of intensive tillage soils and reducing environmental pressure. Thus, a comprehensive understanding of soil’s heavy metal distribution characteristics is important for optimal management. The goal of this study was to determine the most accurate soil Cd interpolation method for the study area and analyze the variation and spatial distribution of Cd content with depth. Materials and methods In this work, we employed two common spatial interpolation methods—inverse distance weighting (IDW) and radial basis function (RBF)—in conjunction with a geographic information system (GIS) to interpolate sampling data of the heavy metal cadmium (Cd) throughout Santai County; a locale in the lower part of Fujiang River, Mianyang, in the northeast of Sichuan Province. Results and discussion The results of our investigation are as follows. (1) At depths of 0–50 cm, the Cd content decreased with depth while the coefficient of variation (Cv) increased with depth. The exponential model and the Gauss model adequately described the Cd content’s spatial autocorrelation and the determination coefficient (R2) varied within 0.747–0.962, indicating that the model had high precision. (2) With respect to the accuracy of the IDW and RBF methods, IDW was more accurate than the RBF in the 0–20 cm soil layer, yet the reverse was found in the 20–50 cm soil layer. (3) Three-dimensional spatial distribution maps—constructed using the RBF and IDW methods at different soil depths—showed that the RBF method provided a greater smoothing effect than the IDW method. Conclusions The spatial variability of soil Cd content shows that: (1) the Cd content’s spatial autocorrelation was strong in the 0– 50 cm soil layer. (2) The IDW method is suitable for areas that are greatly influenced by human or farming activities while the RBF method is appropriate for areas that are greatly influenced by internal soil factors. The RBF is superior for evaluating the spatial distribution of soil Cd content in this area. Keywords Cadmium . Spatial variability . IDW . RBF
1 Introduction Responsible editor: Claudio Bini * Ping Yu [email protected] Jie Sheng [email protected] Hongnv Zhang [email protected] Zilong Wang [email protected] 1
City College, Southwest University of Science and Technology, Mianyang 621000, China
The goal of site-specific management and precision agriculture is to identify and analyze variability in soil properties; thus, a comprehensive understanding of the soil’s heavy metal distribution characteristics is important for optimal management. Since crop quality has become a pressin
Data Loading...
