Spatio-temporal variation prediction on Cd content in the rice grains from Northern Zhejiang Plain during 2014–2019 based on high-precision soil geochemical data

• Published in: Journal of geographical sciences Vol. 33; no. 2; pp. 413 - 426
• Main Authors: Yin, Hanqin, Lu, Xinzhe, Sun, Rui, Huang, Chunlei, Kang, Zhanjun, Xu, Mingxing, Wei, Yingchun, Cai, ZiHua
• Format: Journal Article
• Language: English
• Published: Heidelberg Science Press 01.02.2023; Springer; Springer Nature B.V
• Subjects: Agriculture; Analysis; Cadmium; Computer simulation; Crop production; Earth and Environmental Science; Geochemistry; Geographic information systems; Geographical Information Systems/Cartography; Geography; Geospatial data; Heavy metals; Monte Carlo simulation; Nature Conservation; Organic matter; Physical Geography; Pollution; Remote Sensing/Photogrammetry; Rhizosphere; Rice; River networks; Sample size; Soil organic matter; Soils; China; rice safety; Northern Zhejiang Plain; soil cadmium pollution; multivariate linear model
• DOI: 10.1007/s11442-023-2089-7
• ISSN: 1009-637X

In recent years, Cadmium (Cd) pollution has been found in many soil geochemical surveys in Northern Zhejiang Plain, a crucial rice production area in East China, located in the lower Yangtze River. To more scientifically predict the effect of soil Cd on rice safety, data including 348 local rhizosphere soil-rice samples obtained in 2014 were used in this study. Meanwhile, we extracted 90% of random samples as variables based on soil Cd content (Cd soil ), soil organic matter (SOM), pH, and other indicators. In addition, a multivariate linear model for rice Cd content (Cd rice ) prediction based on the indicators including the soil Cd content (Cd soil ), the soil organic matter (SOM), and the pH value. The remaining 10% of random samples were used for the significance test. Based on the 2014 soil Cd content (Cd soil14 ) and the 2019 soil Cd content (Cd soil19 ), this study predicted Cd content in 2019 rice grains (Cd p-rice19 ). The spatio-temporal variation of Cd rice was contrasted in the five years from 2014 to 2019, and the risk areas of rice safety production were analyzed using the Geographical Information System (GIS). The results indicated that compared with the actual Cd content in 2014 rice grains (Cd rice14 ), the proportion of Cd p-rice19 , which exceeded the standard food level in China (GB2762-2017), increased dramatically. Moreover, the high-value areas of Cd rice distributed greatly coincidentally in these two years. By contrast, both Cd rice and Cd soil show very different spatial scales. The dominant reason is the distribution of the local canal systems, indicating that economic activities and agricultural irrigation may aggravate the risk of soil Cd pollution, thus threatening safe rice production.