Study on safe usage of agricultural land in karst and non-karst areas based on soil Cd and prediction of Cd in rice: A case study of Heng County, Guangxi

Li, Cheng; Yang, Zhongfang; Yu, Tao; Hou, Qin; Xu, Liu; Wang, Jue; Zhang, Qizuan; Wu, Tiansheng

doi:10.1016/j.ecoenv.2020.111505

Cited by 42 publications

(22 citation statements)

References 70 publications

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“…10 The Cd content was higher in carbonate rock derived-soil than that in non-karst derived-soil. 11 In addition, Cd and Pb contents in soil samples taken from land nearby Lang Hich lead and zinc mine in Vietnam were 34 and 2472 mg kg À1 , respectively. 12 The Cd is easily accumulated in the food chain because of its high soluble ability in comparison with other heavy metals.…”

Section: Introductionmentioning

confidence: 99%

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Enhancement of exchangeable Cd and Pb immobilization in contaminated soil using Mg/Al LDH-zeolite as an effective adsorbent

Dang

Van²,

Duy

et al. 2021

RSC Adv.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancement of exchangeable Cd and Pb immobilization in contaminated soil using Mg/Al LDH-zeolite as an effective adsorbent

Dang

Van²,

Duy

et al. 2021

RSC Adv.

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“…In the present study, the precision of the prediction model was verified by use of the NME and NRMSE, as shown in Table 4. All NME values are similar to -0.212 in karst areas and larger than the -0.438 in nonkarst areas calculated by C. Li et al (2021) for rice grain Cd, indicating that the predicted value was underestimated. The NRMSE value shown in Equation 9(Table 4) is comparable to the value of 0.801 reported by for peanut grain Cd, which can well reflect the precision of the prediction model in the present study.…”

Section: Factors Affecting CD Accumulation In Maize Grainmentioning

confidence: 59%

“…In addition, the normalized root‐mean‐square‐error (NRMSE) and the normalized mean error (NME) were used to evaluate the accuracy of the prediction models (C. Li et al, 2021). They were calculated as follows:

N M E = \frac{\overset{x}{true} - \overset{y}{true}}{\bar{y}}

N R M S E = \frac{\sqrt{\frac{1}{n}} true \sum_{1}^{n} {(x_{i} - y_{i})}^{2}}{\bar{y}}

…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Cadmium Transfer from Soil to the Human Body Through Maize Consumption in a Cadmium Anomaly Area of Southwestern China

Duan

Zheng

Luo

et al. 2021

Enviro Toxic and Chemistry

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Evaluating the bioavailability, bioaccessibility, and transferability of cadmium (Cd) in soil-grain-human systems is essential in areas with a Cd anomaly in the karst region of southwestern China. In the present study, the main controlling factors and prediction models for Cd transfer in a soil-grain-human system were investigated in a typical area where natural processes and anthropogenic activities interact in the karst region of southwestern China. The environmental availability of Cd (diethylenetriaminepentaacetic acid-and CaCl 2 -extractable Cd [Cd CaCl2 ]) in the soil varies significantly because of the diversity of soil properties. However, Cd concentrations in the maize grain were significantly related only to the Cd CaCl2 concentrations in the soil (r = 0.595, p < 0.01), indicating that soil Cd CaCl2 is a good indicator for evaluating Cd uptake by maize grain. Of all the measured soil properties, the soil cation exchange capacity (CEC) and the soil calcium (Ca soil ) were the most important factors influencing Cd accumulation in the soil-maize grain system. A transfer model combining Cd CaCl2 , soil CEC, and Ca soil was sufficiently reliable for predicting Cd accumulation in the maize grain (R 2 = 0.505). Although there is room for improvement regarding the prediction performance of the chain model combining soil Cd CaCl2 with Ca soil to predict the bioaccessible Cd concentration in maize grain (R 2 = 0.344 for the gastric phase and R 2 = 0.356 for the gastrointestinal phase), our findings provide a useful reference to further explore a model that can be used for a relatively rapid and reliable estimation of dietary Cd exposure for specific regions prior to crop harvest.

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“…Yang Q. et al (2021) proposed the recommended threshold values for the safe utilization and risk control of Cd in karst areas with a high geochemical background, based on the relationship between soil pH and Cd in the study area and Cd in rice particles. Li et al (2021) and Yang Y. et al (2021) proposed a farmland safe utilization scheme using the Cd concentration in topsoil and the predicted Cd concentration in crop grains.…”

Section: Introductionmentioning

confidence: 99%

Safe utilization of cultivated land in high-risk areas of soil heavy metal pollution based on soil resilience

Song

Zhang

et al. 2022

Front. Environ. Sci.

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With global urbanization and industrialization, environmental pollution and food safety problems caused by soil heavy metal pollution occur frequently. To realize the safe utilization of cultivated land resources in high-risk areas of heavy metal pollution, we present an approach to safe utilization classification and management in this study. A typical agricultural area around industrial and mining enterprises located in the economic belt of the Yangtze River Delta was chosen as the research area with cultivated soil as the research object. A total of 1,139 geochemical survey sampling sites and soil survey data were used for this research. Initially, the potential ecological risk index was used to assess the potential ecological risk of heavy metals in cultivated soil, and key soil physical and chemical indicators were chosen to assess soil resilience. Next, the safe utilization classification of cultivated land was carried out by combining the potential ecological risk of soil heavy metals with soil resilience. Then, the specific classification management strategy was developed according to ecological risk factor types and crop types. The results showed that the production and operation activities of industrial and mining enterprises in the study area contributed significantly to soil Cd and Hg pollution, and the potential ecological risk of heavy metals in the surrounding soil was high. The soil resilience of cultivated land in the study area was generally not high. The clay content and cation exchange capacity (CEC) were the main strong restrictive indicators, while CaO, soil organic carbon (SOC), and pH were the main medium restrictive indicators. Natural conditions such as topography, hydrogeology, and soil-forming parent material differed by region, resulting in different restrictive factors. There were 16 safe utilization types in the study area. Different management strategies were proposed based on various soil potential ecological risks, soil resilience, ecological risk factor types, and crop types. This study can offer fresh perspectives on the safe utilization classification and management of land resources in high-risk areas of soil pollution and serve as a reference for sustainable intensification.

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Study on safe usage of agricultural land in karst and non-karst areas based on soil Cd and prediction of Cd in rice: A case study of Heng County, Guangxi

Cited by 42 publications

References 70 publications

Enhancement of exchangeable Cd and Pb immobilization in contaminated soil using Mg/Al LDH-zeolite as an effective adsorbent

Enhancement of exchangeable Cd and Pb immobilization in contaminated soil using Mg/Al LDH-zeolite as an effective adsorbent

Evaluation of Cadmium Transfer from Soil to the Human Body Through Maize Consumption in a Cadmium Anomaly Area of Southwestern China

Safe utilization of cultivated land in high-risk areas of soil heavy metal pollution based on soil resilience

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