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Guijie Tong
School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China

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Journal article
Published: 16 July 2020 in Journal of Cleaner Production
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The lack of linear correlation between regional soil and rice heavy metal (HM) content aggravates the difficulty of risk management in farmland. Hence, an effective HM contamination risk control strategy is urgently required for rice paddy. Here, a novel integrated spatial interaction and risk identification methodology was proposed. Bivariate local indicators of spatial association (BL-LISA) was used to analyze the spatial interaction between soil and rice HM. The mechanism of the spatial interaction pattern was elucidated with lead isotope ratios and redundancy analysis. The rice HM risk was predicted via a Bayesian decision tree (BDT). The spatial interaction patterns were mainly High-Low and Low-High. Thus, there was antagonism between soil and rice HM. Emission sources and sinks accounted for the observed spatial interaction patterns. The parent material contributed 69% to the soil HM content but only 10.2% to that of rice. Seven risk rules and 13 security rules were identified by BDT. The risk identification accuracy of these rules was 96.8% for the overall sample. BL-LISA mapping was combined with BDT to demarcate and classify the risk zones and project differentiated and refined management modes. The risk, potential risk and clean zones comprised 7.8%, 14.1% and 46.6% of the farmland, respectively. The integrated method was superior to other traditional techniques in terms of farm HM risk management and may enhance decision-making in HM risk management for soil-rice system.

ACS Style

Zhenyi Jia; Junxiao Wang; Baojie Li; Yan Li; Yujie Zhou; Guijie Tong; Daohao Yan; Shenglu Zhou. An integrated methodology for improving heavy metal risk management in soil-rice system. Journal of Cleaner Production 2020, 273, 122797 .

AMA Style

Zhenyi Jia, Junxiao Wang, Baojie Li, Yan Li, Yujie Zhou, Guijie Tong, Daohao Yan, Shenglu Zhou. An integrated methodology for improving heavy metal risk management in soil-rice system. Journal of Cleaner Production. 2020; 273 ():122797.

Chicago/Turabian Style

Zhenyi Jia; Junxiao Wang; Baojie Li; Yan Li; Yujie Zhou; Guijie Tong; Daohao Yan; Shenglu Zhou. 2020. "An integrated methodology for improving heavy metal risk management in soil-rice system." Journal of Cleaner Production 273, no. : 122797.

Journal article
Published: 01 November 2018 in International Journal of Environmental Research and Public Health
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Samples of wheat and soil were collected in the Lihe watershed in East China, the migration and accumulation processes of four common trace metals (Cu, Pb, Cd and Ni) in each part of the wheat plant (root, stem, leaf and grain) were analyzed, and a mechanistic model was proposed to simulate these processes based on wheat growth techniques. Model results show that Cu and Cd migrate more easily with wheat grains, while most Pb and Ni accumulate in roots. Modeling results were shown to be relatively good, with an error of 25.29% in value and 26.38% in fluctuation, and had smaller dispersion degree than actual measurement results. Monte Carlo simulation results also match quite well with actual measurement results, and modeling results are slightly smaller in the simulation of Leaf-Cu, Grain-Cu and Leaf-Ni. Trace metal pollution risk in wheat is evaluated based on this model; our results show that the northwest and northeast parts in the research area are not suitable for growing wheat. In general, this model is relatively accurate, and can evaluate the wheat pollution risk before seeding wheat, providing scientific references for the early selection of wheat safety sowing areas.

ACS Style

Guijie Tong; Shaohua Wu; Yujie Yuan; Fufu Li; Lian Chen; Daohao Yan. Modeling of Trace Metal Migration and Accumulation Processes in a Soil-Wheat System in Lihe Watershed, China. International Journal of Environmental Research and Public Health 2018, 15, 2432 .

AMA Style

Guijie Tong, Shaohua Wu, Yujie Yuan, Fufu Li, Lian Chen, Daohao Yan. Modeling of Trace Metal Migration and Accumulation Processes in a Soil-Wheat System in Lihe Watershed, China. International Journal of Environmental Research and Public Health. 2018; 15 (11):2432.

Chicago/Turabian Style

Guijie Tong; Shaohua Wu; Yujie Yuan; Fufu Li; Lian Chen; Daohao Yan. 2018. "Modeling of Trace Metal Migration and Accumulation Processes in a Soil-Wheat System in Lihe Watershed, China." International Journal of Environmental Research and Public Health 15, no. 11: 2432.