Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dejian Wang is active.

Publication


Featured researches published by Dejian Wang.


Science of The Total Environment | 2016

Heavy metal contents, distribution, and prediction in a regional soil–wheat system

Jing Ran; Dejian Wang; Can Wang; Gang Zhang; Hailin Zhang

The entry of heavy metals into the food chain is of concern for potential health risks. To investigate the spatial relationships of heavy metals in a regional soil-wheat system, 99 pairs of surface soil (0-15 cm) and wheat grain samples were collected from Changshu, China, a typical county in the Yangtze Delta region. Both soil and wheat grain samples were analyzed for total Cd, Cu, Ni, Pb, and Zn. DTPA-extractable metals and major physico-chemical properties were also determined for soil samples. Moderate accumulation of heavy metals was found in soils and wheat grains, especially Cd. However, the levels were within the target hazard quotients (THQ) safe values with respect to non-carcinogenic risks, but more attention should be paid to Cd. Spatially, Cd, Cu, Ni, and Zn in wheat grains and soils had similar geographical patterns, whereas Pb showed opposite trends. Cross-correlograms further quantitatively confirmed the spatial relationships of heavy metals in wheat grains and soils. In addition, heavy metals in wheat grains were significantly spatially correlated with most soil physio-chemical properties. Particularly, a set of regression models for Cd in wheat grains were established with a maximum predictive success of 65%. These models can be used to predict Cd in wheat grains, and thus allows farmers to decrease the threat by certain framing practices such as ameliorating soil pH or growing a less metal-accumulating cultivar.


Environmental Science and Pollution Research | 2015

Accumulation and risk assessment of heavy metals in water, sediments, and aquatic organisms in rural rivers in the Taihu Lake region, China.

Luji Bo; Dejian Wang; Tianling Li; Yan Li; Gang Zhang; Can Wang; Shanqing Zhang

Concentrations of heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn) were measured in water, sediments, Ceratophyllum (hornwort), and Bellamya sp. (edible snail) from residential, mixed (industrial and commercial), and agricultural areas with rural rivers in the Taihu Lake region, China. Zn concentrations were the highest, whereas Cd concentrations were the lowest among the six metals in water, sediments, and aquatic organisms. Cd was mainly present in the acid-soluble fraction, Cr in the residual fraction, and Pb in the reducible fraction of sediments. Heavy metal concentrations in water, sediments, and aquatic organisms in the three areas followed the order of the mixed area > residential area > agricultural area. Heavy metal concentrations in aquatic organisms were not only related to total metal concentrations in water and sediments but also to metal speciation concentrations in sediments. In addition, the bio-concentration factor (BCF) values of Cr, Cu, Pb, and Zn for Bellamya sp. were higher than those for Ceratophyllum, whereas the BCF values of Cd and Ni for Bellamya sp. were lower than those for Ceratophyllum. An ecological risk assessment of heavy metals in sediments showed that Cd posed the highest ecological risk to the environment. A health risk assessment showed that consuming Bellamya sp. from the mixed area could cause a potential health risk.


Science of The Total Environment | 2014

Occurrence of phthalate esters in river sediments in areas with different land use patterns

Jun Wang; Luji Bo; Lina Li; Dejian Wang; Gangcai Chen; Peter Christie; Ying Teng

Phthalate esters (PAEs) are widely used as plasticizers in both industrial and commercial products and have aroused considerable concern over their widespread distribution and potentially hazardous impacts on the environment. The present study investigated the distribution (concentrations at different sites) of PAEs in typical riverine sediments in southern Jiangsu Province and its relationship with the physical and chemical properties of the sediments. PAEs were detected in all 34 sediment samples analyzed, and the total concentrations of the six priority control PAEs in sediments ranged from 2.3 to 80.1 mg kg(-1) with a mean concentration of 13.2 ± 14.7 mg kg(-1). Land use significantly (p<0.05) influenced the PAE concentrations in the river sediments. The average PAE concentrations in mixed industrial and commercial districts were 27.8 ± 18.2 mg kg(-1), three and eight times higher than those in suburban areas (8.8 ± 3.7 mg kg(-1)) and an agricultural field (3.4 ± 0.9 mg kg(-1)), respectively. The concentrations of PAEs showed significant linear positive correlations with sediment organic matter and phosphorus but no significant correlation with sediment pH. Di(2-ethylhexyl) phthalate (DEHP) and di-n-butyl phthalate (DnBP) were the dominant PAE compounds present in all examined sediment samples. These PAEs have relatively high ecotoxicology, but the potential risk of their transfer to the food chain needs further study.


Soil and Sediment Contamination: An International Journal | 2015

Heavy Metal Speciation in Sediments and the Associated Ecological Risks in Rural Rivers in Southern Jiangsu Province, China

Luji Bo; Dejian Wang; Gang Zhang; Can Wang

Heavy metal speciation and the associated ecological risks were investigated, using a European Community Bureau of Reference sequential extraction procedure, in sediments from the residential, mixed (residential and industrial), and agricultural areas of rural rivers in southern Jiangsu Province, China. Compared with the background values in Jiangsu Province soils, Cd was the metal with the highest contamination level, especially in the mixed area, followed by Cu and Zn. In the sediment samples from the agricultural area, the heavy metal concentrations were no more than two times greater than the background values. There were higher proportions of Cd in the acid-soluble fraction, Cr in the residual fraction, and Pb in the reducible fraction in the three areas. The heavy metal mobility was mainly controlled by the acid-soluble and reducible fractions. Cd could pose extremely high risks to the environment. In addition, the risks of heavy metal to the environment in the three areas followed the order: mixed area > residential area > agricultural area. Furthermore, a risk assessment code analysis showed that most of the sediment samples were classified as being of high to very high risk in the residential and mixed areas because of their Cd, Ni, and Zn concentrations. Heavy metal pollution in the residential and mixed areas is generally serious, and immediate remediation measures need to be taken.


Plant Methods | 2014

Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light

Yuan Wang; Dejian Wang; Peihua Shi; Kenji Omasa


Field Crops Research | 2013

Estimating nitrogen status of rice using the image segmentation of G-R thresholding method

Yuan Wang; Dejian Wang; Gang Zhang; Jun Wang


Agricultural Water Management | 2014

Nitrogen and phosphorus leaching losses from intensively managed paddy fields with straw retention

Jun Wang; Dejian Wang; Gang Zhang; Yuan Wang; Can Wang; Ying Teng; Peter Christie


Nutrient Cycling in Agroecosystems | 2012

Effect of wheat straw application on ammonia volatilization from urea applied to a paddy field

Jun Wang; Dejian Wang; Gang Zhang; Can Wang


Journal of Soils and Sediments | 2015

Phosphorus status and its sorption-associated soil properties in a paddy soil as affected by organic amendments

Xiao Yan; Zongqiang Wei; Dejian Wang; Gang Zhang; Jun Wang


Environmental Science: Processes & Impacts | 2014

Using portable X-ray fluorescence spectrometry and GIS to assess environmental risk and identify sources of trace metals in soils of peri-urban areas in the Yangtze Delta region, China

Jing Ran; Dejian Wang; Can Wang; Gang Zhang; Lipeng Yao

Collaboration


Dive into the Dejian Wang's collaboration.

Top Co-Authors

Avatar

Gang Zhang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Can Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jun Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Luji Bo

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yuan Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jing Ran

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Peihua Shi

Nanjing Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Peter Christie

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Xiao Yan

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Ying Teng

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge