Modelling cadmium contamination in paddy soils under long-term remediation measures: Model development and stochastic simulations

Peng, Chi; Wang, Meie; Chen, Weiping

doi:10.1016/j.envpol.2016.05.038

Cited by 50 publications

(21 citation statements)

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“…While plant uptake and removal are easily quantifiable, data on leaching and runoff of metal(loid)s and their relationships with soil properties and climatic variables are scarce. More studies are needed to establish and verify predictive models of leaching and runoff of metal(loid)s. Mass balance models can then be constructed to predict future trends of metal(loid)s in soils at a regional scale and under different scenarios [62,63] . A scenario that may lead to a gradual decrease in Cd concentrations in paddy soils is the removal of rice straw [62,63] , although this practice would reduce the inputs of organic matter to the soil.…”

Section: Need For Long-term Monitoring and Model Predictionsmentioning

confidence: 99%

“…More studies are needed to establish and verify predictive models of leaching and runoff of metal(loid)s. Mass balance models can then be constructed to predict future trends of metal(loid)s in soils at a regional scale and under different scenarios [62,63] . A scenario that may lead to a gradual decrease in Cd concentrations in paddy soils is the removal of rice straw [62,63] , although this practice would reduce the inputs of organic matter to the soil. In Europe, modeling of the future long-term changes in soil Cd concentrations in agricultural topsoils predicts either increases, decreases or little changes in soil Cd concentration over the next 100 years depending on the region and scenario [64,65] .…”

Section: Need For Long-term Monitoring and Model Predictionsmentioning

confidence: 99%

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Strategies to manage the risk of heavy metal(loid) contamination in agricultural soils

Zhao¹

2020

Front. Agr. Sci. Eng.

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Soil contamination with heavy metal(loid)s threatens soil ecological functions, water quality and food safety; the latter is the focus of this review. Cadmium (Cd) and arsenic (As) are the toxic elements of most concern for food safety because they are relatively easily taken up by food crops. Rice is a major contributor of both Cd and As intakes to the Chinese population. Contamination and soil acidification are the main causes of high Cd levels in rice grains produced in some areas of southern China. The risk of Cd and As accumulation in food crops can be mitigated through agronomic practices and crop breeding. Liming is effective and economical at reducing Cd uptake by rice in acid soils. Paddy water management can produce opposite effects on Cd and As accumulation. Many genes controlling Cd and As uptake and translocation have been characterized, paving the way to breeding low accumulating crop cultivars through marker-assisted molecular breeding or genetic engineering. It is important to protect agricultural soils from future contamination. Long-term monitoring of anthropogenic additions and accumulation of heavy metal(loid)s in agricultural soils should be undertaken. Mass-balance models should be constructed to evaluate future trends of metal(loid)s in agricultural soils at a regional scale.

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Section: Need For Long-term Monitoring and Model Predictionsmentioning

confidence: 99%

Section: Need For Long-term Monitoring and Model Predictionsmentioning

confidence: 99%

Strategies to manage the risk of heavy metal(loid) contamination in agricultural soils

Zhao¹

2020

Front. Agr. Sci. Eng.

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“…Cadmium (Cd) is one of toxic heavy metals that can be entered into surface waters and soils in concentrations significant to human health through industrial wastes (Fan, Li, Zhou, & Liu, 2016). The increasing environmental existence of cadmium is primarily caused by its application in stabilizers, phosphate fertilizer, ceramics, alloys, pigments, electroplating plants, and battery (Liao et al, 2015;Peng, Wang, & Chen, 2016;Rehman, Khan, Brusseau, & Shah, 2017;Rosi et al, 2016). Cd is known as a naturally occurring element which is really toxic in any chemical forms like chloride, sulfide, sulfate, carbonate, and oxide (Li, Yin, & Zhao, 2017).…”

Section: Introductionmentioning

confidence: 99%

Hybrid silica aerogel nanocomposite adsorbents designed for Cd(II) removal from aqueous solution

Shariatinia‬

Esmaeilzadeh

2019

Water Environment Research

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Hybrid silica aerogel (HSA) nanoparticles were synthesized by sol–gel method and drying at ambient pressure. Also, two magnetic nanocomposites of HSA with Fe3O4 nanoparticles and chitosan (CS) were prepared including HSA‐Fe3O4 and HSA‐Fe3O4‐CS. The morphology, structure, and magnetic properties of the HSA as well as its nanocomposites were analyzed by SEM, XRD, TGA, VSM, and ATR‐FTIR techniques. The saturation magnetization (Ms) values for the Fe3O4 NPs, HSA‐Fe3O4, and HSA‐Fe3O4‐CS nanocomposite film were 69.93, 19.04, and 5.77 emu/g, respectively. Furthermore, the abilities of the HSA, HSA‐Fe3O4, CS, and HSA‐Fe3O4‐CS adsorbents were assessed for removal of cadmium(II) heavy metal ions (100 ppm) from aqueous solution. All adsorbents removed/adsorbed the maximum Cd(II) ions in 120 min when adsorbent dosage = 20 mg and pH = 8. Moreover, the highest adsorption capacities were 58.5, 69.4, 65.8, and 71.9 mg/g for the HSA, CS, HSA‐Fe3O4, and HSA‐Fe3O4‐CS, respectively. Kinetic studies using all adsorbents verified that Cd(II) adsorption obeyed the second‐order model illustrating the analyte chemisorption was happened on the adsorbent surfaces. All adsorption data were well consistent with the Langmuir isotherms. The reusability experiment confirmed that all of adsorbents could preserve >95% of their initial adsorption capacities even after five series of adsorption/desorption tests. Practitioner points Hybrid silica aerogel (HSA), HSA‐Fe3O4, and HSA‐Fe3O4‐CS adsorbents were produced. Nanocomposites were characterized by XRD, TGA, SEM, VSM, and ATR‐FTIR analysis. Adsorption of cadmium(II) ions by adsorbents was examined in aqueous solution. The highest adsorption capacity was obtained for the HSA‐Fe3O4‐CS (71.9 mg/g). Cd(II) adsorption followed second‐order kinetics and Langmuir isotherm model.

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“…Heavy metals in the soil are crucial factors of environmental and food quality and can threaten human health through the food chain 1, 2 . In recent decades, heavy metal pollution of soils has become a globally recognized environmental issue 1, 3, 4 .…”

Section: Introductionmentioning

confidence: 99%

“…Soil Cd has become an important environmental pollutant around the world 2, 4, 28–30 and was also found to be a serious pollutant on the Chengdu Plain of China 11, 31, 32 . Previous studies have shown that geological origin, road distribution and crop rotation systems had great influences on soil Cd in the farmland of the Chengdu Plain 11, 32 .…”

Section: Introductionmentioning

confidence: 99%

Prediction of soil cadmium distribution across a typical area of Chengdu Plain, China

Wang

Dai

et al. 2017

Sci Rep

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A suitable method and appropriate environmental variables are important for accurately predicting heavy metal distribution in soils. However, the classical methods (e.g., ordinary kriging (OK)) have a smoothing effect that results in a tendency to neglect local variability, and the commonly used environmental variables (e.g., terrain factors) are ineffective for improving predictions across plains. Here, variables were derived from the obvious factors affecting soil cadmium (Cd), such as road traffic, and were used as auxiliary variables for a combined method (HASM_RBFNN) that was developed using high accuracy surface modelling (HASM) and radial basis function neural network (RBFNN) model. This combined method was then used to predict soil Cd distribution in a typical area of Chengdu Plain in China, considering the spatial non-stationarity of the relationships between soil Cd and the derived variables based on 339 surface soil samples. The results showed that HASM_RBFNN had lower prediction errors than OK, regression kriging (RK) and HASM_RBFNNs, which didn’t consider the spatial non-stationarity of the soil Cd-derived variables relationships. Furthermore, HASM_RBFNN provided improved detail on local variations. The better performance suggested that the derived environmental variables were effective and HASM_RBFNN was appropriate for improving the prediction of soil Cd distribution across plains.

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Modelling cadmium contamination in paddy soils under long-term remediation measures: Model development and stochastic simulations

Cited by 50 publications

References 22 publications

Strategies to manage the risk of heavy metal(loid) contamination in agricultural soils

Strategies to manage the risk of heavy metal(loid) contamination in agricultural soils

Hybrid silica aerogel nanocomposite adsorbents designed for Cd(II) removal from aqueous solution

Prediction of soil cadmium distribution across a typical area of Chengdu Plain, China

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