Prediction model for Cd accumulation of rice (Oryza sativa L.) based on extractable Cd in soils and prediction for high Cd-risk regions of southern Zhejiang Province, China

被引:0
作者
Fanyi Kong
Shenggao Lu
机构
[1] Zhejiang University,Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Key Laboratory of Environmental Remediation and Ecosystem Health, Ministry of Education, College of Environmental and Resource Sciences
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Cadmium; Bioavailability; Safe rice; Multiple linear regression model; Health risk;
D O I
暂无
中图分类号
学科分类号
摘要
Soil environmental quality in China for agricultural land always considers the effect of total cadmium (Cd) in soil, ignoring the bioavailability of soil Cd. The 139 paired rice (Oryza sativa L.) and soil samples were collected from the Cd-contaminated paddy fields of southern Zhejiang Province, China. The objectives of this study were to establish accurate prediction models for Cd accumulation in brown rice based on bioavailable Cd and physiochemical properties of soils and to evaluate the safety of rice production in Cd-contaminated paddy. The bioavailable Cd in soils was extracted and evaluated by using CaCl2, HNO3, diethylenetriamine pentaacetic acid (DTPA), diffusive gradients in thin-films technique (DGT), and sequential extraction method proposed by the European Community Bureau of Reference; 100 pairs of data were used as training sets, and the remaining 39 sets were used as validation sets. Stepwise multiple linear regression analysis and random forest analysis showed that total Cd in soil could roughly indicate the content of Cd in rice, while extractable Cd could better explain the accumulation of Cd in rice grain and DTPA and DGT extractive technologies are the most evaluative. The validation sets also showed that the prediction model has a good fit. Based on the prediction model for Cd in brown rice based on soil pH and DGT extractive Cd, the Monte Carlo simulation showed that 74.32% and 89.35% of the estimated brown rice hazard quotient (HQ) of the daily Cd intake of adults and children in safe utilization paddy sites could exceed the safe level of 1, respectively. Additionally, the threshold values for extractable Cd by DGT or DTPA for rice safe production were 3.4 μg/kg or 0.13 mg/kg when the pH in soils was below 5.5. The results further proved the threshold concentration of extractable Cd for predicting high-risk soils of Cd contamination in brown rice.
引用
收藏
页码:15964 / 15974
页数:10
相关论文
共 223 条
  • [1] Chen HP(2018)Effective methods to reduce cadmium accumulation in rice grain Chemosphere 207 699-707
  • [2] Zhang WW(2021)Predictive model for cadmium uptake by maize and rice grains on the basis of bioconcentration factor and the diffusive gradients in thin-films technique Environ Pollut 289 135-141
  • [3] Yang XP(2022)Assembly of root-associated bacterial community in cadmium contaminated soil following five-year consecutive application of soil amendments: evidences for improved soil health J Hazard Mater 426 1081-1085
  • [4] Wang P(2021)Derivation and validation of thresholds of cadmium, chromium, lead, mercury and arsenic for safe rice production in paddy soil Ecotoxicol Environ Saf 220 2552-2561
  • [5] McGrath SP(2017)A three-season field study on the in-situ remediation of Cd-contaminated paddy soil using lime, two industrial by-products, and a low-Cd-accumulation rice cultivar Ecotoxicol Environ Saf 136 308-317
  • [6] Zhao FJ(2009)Effect of different N fertilizer forms on antioxidant capacity and grain yield of rice growing under Cd stress J Hazard Mater 162 339-348
  • [7] Chen R(2022)Effects of microbial organic fertilizer (MOF) application on cadmium uptake of rice in acidic paddy soil: regulation of the iron oxides driven by the soil microorganisms Environ Pollut 307 373-381
  • [8] Cheng N(2018)Cadmium bioavailability well assessed by DGT and factors influencing cadmium accumulation in rice grains from paddy soils of three parent materials J Soils Sediments 18 402-410
  • [9] Ding G(2018)A multi-medium chain modeling approach to estimate the cumulative effects of cadmium pollution on human health Environ Pollut 239 37-45
  • [10] Ren F(2021)Risk assessment and hotspots identification of heavy metals in rice: a case study in Longyan of Fujian province, China Chemosphere 270 332-344