Novel insights into heavy metal pollution of farmland based on reactive heavy metals (RHMs): Pollution characteristics, predictive models, and quantitative source apportionment

Zhang, Lixun; Zhu, Guangyu; Ge, Xin; Xu, Gang; Guan, Yuntao

doi:10.1016/j.jhazmat.2018.07.075

Cited by 108 publications

(30 citation statements)

References 54 publications

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“…Heavy metal contamination in water is one of the major health concerns around the globe, and this can cause severe health disorder not only for humans but also for every living creature [36][37][38][39]. There are different sources causing heavy metal pollution in water such as industrial waste; mining, pharmaceutical, textile, fertilizers, petrochemicals mostly contribute to heavy metal ions such as i.e., Zn, Ni, Cu, Cr, Pb, Cd, Ar, Mn ions [2,[40][41][42].…”

Section: Discussionmentioning

confidence: 99%

Greener Method for the Removal of Toxic Metal Ions from the Wastewater by Application of Agricultural Waste as an Adsorbent

Shaikh

Saifullah

Rehman

et al. 2018

Water

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The presence of inorganic pollutants such as metal ions (Ni2+, Pb2+, Cr6+) in water, probably by long-term geochemical changes and from the effluents of various industries, causes diseases and disorders (e.g., cancer, neurodegenerative diseases, muscular dystrophy, hepatitis, and multiple sclerosis). Conventional methods for their removal are limited by technical and economic barriers. In biosorption, low-cost and efficient biomaterials are used for this purpose. In this study, Brassica Campestris stems from the agriculture waste and has been used for the removal of Ni2+, Cr6+ and Pb2+ ions from an aqueous solution containing all the ions. Effect of different parameters, e.g., pH, contact time, metal ion initial concentration, adsorbent dose, agitation rate and temperature were analyzed and optimized. The adsorbent worked well for removal of the Pb2+ and Cr6+ as compared to Ni2+. The atomic absorption spectrophotometer (AAS) and FTIR investigation of adsorbent before and after shows a clear difference in the adsorbent capability. The highest adsorption percentage was found at 98%, 91%, and 49% respectively, under the optimized parameters. Furthermore, the Langmuir isotherm was found better in fitting to the experimental data than that of the Freundlich isotherm.

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Section: Discussionmentioning

confidence: 99%

Greener Method for the Removal of Toxic Metal Ions from the Wastewater by Application of Agricultural Waste as an Adsorbent

Shaikh

Saifullah

Rehman

et al. 2018

Water

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“…The working fixed bed column was 25 cm high and the diameter was 2 cm wide. Thus, the bed volume (BV) was 78.54 cm 3 . Activated carbon was used as adsorbent.…”

Section: Methodsmentioning

confidence: 99%

“…Heavy metals such as Cd, Cr, Cu, Ni, Pb and Zn in the wastewater effluent might cause the environmental and health risks if not appropriately treated [1][2][3]. Wastewater might be treated with physical, chemical and biological processes [4][5][6] to remove the pollutants such as COD, SS, and heavy metals.…”

Section: Introductionmentioning

confidence: 99%

Cu adsorption in fixed bed column with three different influent concentration

Lin

Liu

et al. 2019

E3S Web Conf.

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Heavy metals from the electroplating wastewater might cause environmental pollution if not well treated. Generally, carbon adsorption might be used for the final step for further trace metals removal. This study investigated the heavy metal Cu adsorption in the fixed bed column with 1, 10 and 100 mg/L influent concentration. Results showed that KAB decreased as influent Cu concentration increased from 1 to 100 mg/L while N0 increased as influent concentration increased from 1 to 100 mg/L as can be found in Adams-Bohart model. R2 was found between 0.8579 and 0.9182. In Thomas model. KTH and q0 showed the similar trend as KAB and N0 in the Adams-Bohart model. KTH decreased as influent Cu concentration increased from 1 to 100 mg/L. q0 increased as influent Cu concentration increased from 1 to 100 mg/L. R2 of regression model was found between 0.9065 and 0.9836. In Yoon-Nelson model. KYN increased as influent Cu concentration increased from 1 to 100 mg/L while τ decreased as influent Cu concentration increased from 1 to 100 mg/L. Results showed that the three models of Adams-Bohart model, Thmoas model and The Yoon-Nelson model were suitable for the description of Cu adsorption by activated carbon.

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“…Research on the treatment of HMPF has mainly focused on nature science or macroscopic scales such as the path of treatment technology, treatment approaches and the influence of specific technologies on cultivated land restoration and crop quality [43][44][45]. For example, GIS has been used to assess heavy metal concentrations and their spatial variations [44] and a novel assessment method of heavy metal pollution based on reactive heavy metals has also been employed [45]. Moreover, the effects of the use of treated municipal sewage and the use of subsurface drip irrigation on the accumulation of heavy metals and health of the soil and grains using a health risk index have been explored [46].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Improving farmers' environmental awareness and actively accepting an environmental policy are the most fundamental ways to reduce implementation costs and prevent moral hazard in China. Most of the existing research has focused on macroscale perspectives [43][44][45] and qualitative or quantitative studies on the microscale perspective of farmers are still relatively scarce. These studies have ignored the positive effect from improving farmers' environmental cognitive ability on the treatment of HMPF.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Non-Agricultural Employment and Environmental Awareness on Farmers’ Willingness to Govern the Heavy Metal Pollution of Farmland: A Case Study of China

2019

Sustainability

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Heavy metal pollution of farmland is a significant issue affecting the quality of agricultural products and human health. Farmers’ behaviors can have a direct impact on the level of heavy metal pollution affecting farmland in China. Whether the heavy metal pollution of farmland can be effectively governed at a low cost depends on the farmers. This paper analyzes the mechanism by which the extent of non-agricultural employment and environmental awareness influences farmers’ willingness to govern the heavy metal pollution of farmland using microdata for farmers in China and conducts an empirical analysis via a logit model. The results show that farmers in China display low willingness to govern the heavy metal pollution of farmland and that the increase in non-agricultural income will not significantly improve this willingness. Environmental awareness and farmers’ willingness to govern the heavy metal pollution of farmland are closely related: the higher the environmental awareness of farmers is, the stronger their willingness to govern heavy metal pollution, and the higher the probability of their participating in fallow land treatment. The government can introduce incentives to improve farmers’ environmental awareness of the heavy metal pollution of farmland. In addition, the government should strengthen publicity about the positive effects of fallow land treatment and encourage farmers to participate in the governance of heavy metal pollution of farmland. Given increasing non-agricultural employment opportunities and the transformation of agricultural production modes, agricultural technical training provided by governmental departments can enable them to be more scientific and rational in their agrochemical selection and application, thus reducing or avoiding the heavy metal pollution of farmland at the source. Attention should be paid to the differences between farmers to ultimately reduce the cost and improve the efficiency of treatment.

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Novel insights into heavy metal pollution of farmland based on reactive heavy metals (RHMs): Pollution characteristics, predictive models, and quantitative source apportionment

Cited by 108 publications

References 54 publications

Greener Method for the Removal of Toxic Metal Ions from the Wastewater by Application of Agricultural Waste as an Adsorbent

Greener Method for the Removal of Toxic Metal Ions from the Wastewater by Application of Agricultural Waste as an Adsorbent

Cu adsorption in fixed bed column with three different influent concentration

Impact of Non-Agricultural Employment and Environmental Awareness on Farmers’ Willingness to Govern the Heavy Metal Pollution of Farmland: A Case Study of China

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