Network


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

Hotspot


Dive into the research topics where Chunnian Da is active.

Publication


Featured researches published by Chunnian Da.


Ecotoxicology and Environmental Safety | 2014

Polycyclic aromatic hydrocarbons in sediments from the Old Yellow River Estuary, China: Occurrence, sources, characterization and correlation with the relocation history of the Yellow River

Zijiao Yuan; Guijian Liu; Ruwei Wang; Chunnian Da

The levels of 16 USEPA priority PAHs were determined in surface sediments and one dated sediment core from the abandoned Old Yellow River Estuary, China. Total PAH concentrations in the surface sediments ranged from 100.4 to 197.3 ng g(-1) dry weight and the total toxic equivalent quantity (TEQ(carc)) values of the carcinogenic PAHs were very low. An evaluation of PAH sources based on diagnostic ratios and principal component analysis suggested that PAHs in the surface sediments mainly derived from combustion sources. The total PAH concentrations altered significantly with year of deposition and showed quite different patterns of change compared with other studies: it is hypothesized that the principal cause of these changes is the relocation of the course of the Yellow River to the sea in 1976 and 1996.


Journal of Environmental Quality | 2015

Concentration and fractionation of heavy metals in the old yellow river estuary, china.

Houqi Liu; Guijian Liu; Chunnian Da; Zijiao Yuan; Jie Wang

A sequential extraction procedure was applied to determine the concentration and fractionation characteristics of eight heavy metals (HMs) (Cu, Zn, Pb, Cd, Cr, Fe, Mn, and Ni) in a sediment core collected from the old Yellow River Estuary, China. The results revealed that the mean deposition rate of this sediment core, which spanned 87 yr (1925-2012), was approximately 0.5 cm yr. The mean concentrations and ranges of HMs were Cu: 26.9 (18.3-38.5), Zn: 76.4 (51.0-107), Pb: 37.3 (17.8-53.8), Cd: 0.23 (0.20-0.27), Cr: 84.7 (45.5-116), Fe: 24,000 (16,500-31,700), Mn: 709 (388-1020), and Ni: 36.1 (24.8-47.2) mg kg (dry weight). Six HMs (Cu, Zn, Cr, Cd, Fe, and Ni) were present in their highest proportion in the residual fraction; their lowest proportion was observed in the exchangeable fraction. Lead primarily existed in the oxidizable or residual fraction. Manganese was mainly presented in the exchangeable fraction. The risk assessment code results revealed that the sediments displayed a low risk for Cu, Zn, Pb, Cr, Cd, Fe, Mn, and Ni. The HMs Cu, Zn, Cr, Cd, Mn, and Ni displayed minor enrichment in the sediment core, whereas for Pb, moderate contamination enrichment was observed. Overall, an increase in and total concentration of HMs occurred since 1925 and reached a maximum value around 1980, after which there was a larger fluctuation or decline until 2012. We also found that the degree of HM pollution during the 1976-1996 period was less serious than before 1976. All the sediment samples exceeded the effect range low (ERL) for Ni, whereas 56.1, 7.32, and 17.1% exceeded the ERL values for Cr, Cu, and Pb; no samples exceeded the ERL for Zn or Cd.


Environmental Science and Pollution Research | 2016

Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China

Houqi Liu; Guijian Liu; Jie Wang; Zijiao Yuan; Chunnian Da

Bohai Sea is one of the most intensively exploited region in the world and its environment has been severely impacted by the extensive human activities. The Yellow River is the most important river which connects with the Bohai Sea. Therefore, this study focused on analyzing heavy metals (HMs) in 21 surface sediment samples collected from the Yellow River, China. Sequential extraction procedure (SEP), proposed by the Community Bureau of Reference (BCR), was applied in the present study to determine the concentration and fractionation characteristics of these HMs. The aim of this study was to investigate the spatial distribution, fractionation, risk assessment, and sources of HMs, including copper (Cu), zinc (Zn), lead (Pb), chromium (Cr), iron (Fe), manganese (Mn), and nickel (Ni). The results obtained from this research will play a significant role in understanding the migration, transformation, and accumulation of HMs for future research in study area. Results of fractionation revealed that most of the HMs in the study area mainly existed in residual fraction; however, Mn mostly existed in exchangeable fraction. A high percentage of reducible fractions was found for Cu and Pb. The mean contamination factor (Cf) values indicated that Pb was the highest. It was >1 and showed moderate contamination, followed by Cr, Cu, Mn, Ni, and Zn, had <1 and indicated low contamination. Among studied HMs Pb had higher enrichment factor (EF) as compared to others. Significant positive correlations within all studied HMs and principal component analysis (PCA) results indicated their common sources, however, Pb showed the different contamination sources. The total contents of HMs in sediment were compared with the threshold effect level (TEL) and probable effect level (PEL) sediment quality guideline (TEL/PEL-based SQGs) values for trace metals in sediment, as well as literature reported data for comparative purposes, which indicated that the selected river in present study is not severe.


Chemosphere | 2018

Distribution of heavy metals, stable isotope ratios (δ13C and δ15N) and risk assessment of fish from the Yellow River Estuary, China

Houqi Liu; Guijian Liu; Shanshan Wang; Chuncai Zhou; Zijiao Yuan; Chunnian Da

This study measured the concentrations of eight heavy metals, including copper (Cu), zinc (Zn), lead (Pb), chromium (Cr), cadmium (Cd), iron (Fe), manganese (Mn) and nickel (Ni), and the stable isotope ratios of δ13C and δ15N in 129 fish samples collected from the Yellow River Estuary (YRE) of China. Accumulation characteristics and possible sources of these heavy metals (HMs) were analyzed. The levels of HMs presented high variations among sampling sites, higher concentrations of ∑HMs were observed at the sites closest to the estuary. Cu and Cd in fishes of the YRE were much higher than those found in the fishes of other rivers of China. Furthermore, the mean concentrations of Cu, Zn, Pb, Cr and Cd were also significantly higher than those measured in the fishes of the same region twenty years ago. According to the results of correlation analysis and principal components analysis (PCA), Pb, Cr, Fe, Mn and Ni might be originated from similar sources. The values of δ13C and δ15N presented high variation in fishes, indicating a wide range of energy sources and trophic status of the investigated fish species. The mean concentrations of Pb, Cr and Cd in fishes were all lower than the recommended values enacted by the Chinese government. The human health risk assessment showed that the estimated daily intake (EDI) of these HMs did not exceed the permissible tolerable daily intake (PTDI) and oral reference dose (RfD), indicating a situation of no potential health risk for consumption of these fish species.


Analytical Letters | 2016

Characterization of the Origin of Polycyclic Aromatic Hydrocarbons in Sediments from the Yellow River Estuary, China

Zijiao Yuan; Guijian Liu; Rongqiong Liu; Houqi Liu; Chunnian Da

ABSTRACT Polycyclic aromatic hydrocarbons (PAHs) are organic contaminants that are widespread in the environment. A knowledge of their sources is of great significance for effective pollution control. In the present study, 23 PAHs were determined in surface sediments collected from the Yellow River Estuary, China. Potential toxicity analysis indicated that four dibenzopyrene isomers were the major carcinogenic contributors of the PAHs in the study area, underlining the importance of determining these compounds in future analysis. Principal component analysis combined with multiple linear regression and positive matrix factorization were used with diagnostic ratios to identify possible sources of PAHs in the sediments. Coal, biomass, and petroleum combustion were identified by these methods. However, the diagnostic ratios only offered a qualitative reference, and there were differences between the relative contributions estimated by principal component analysis/multiple linear regression and positive matrix factorization. The results suggest that positive matrix factorization is preferred, but more convincing results may be obtained by applying multiple methods to the same data set to more definitively identify PAH sources.


Ecotoxicology and Environmental Safety | 2018

n-Alkanes in sediments from the Yellow River Estuary, China: Occurrence, sources and historical sedimentary record

Shanshan Wang; Guijian Liu; Zijiao Yuan; Chunnian Da

A total of 21 surface sediments from the Yellow River Estuary (YRE) and a sediment core from the abandoned Old Yellow River Estuary (OYRE) were analyzed for n-alkanes using gas chromatography-mass spectrometry (GC-MS). n-Alkanes in the range C12-C33 and C13-C34 were identified in the surface sediments and the core, respectively. The homologous series were mainly bimodal distribution pattern without odd/even predominance in the YRE and OYRE. The total n-alkanes concentrations in the surface sediments ranged from 0.356 to 0.572mg/kg, with a mean of 0.434mg/kg on dry wt. BASIS Evaluation of n-alkanes proxies indicated that the aliphatic hydrocarbons in the surface sediments were derived mainly from a petrogenic source with a relatively low contribution of submerged/floating macrophytes, terrestrial and emergent plants. The dated core covered the time period 1925-2012 and the mean sedimentation rate was ca. 0.5cm/yr. The total n-alkanes concentrations in the core ranged from 0.0394 to 0.941mg/kg, with a mean of 0.180mg/kg. The temporal evolution of n-alkanes reflected the historical input of aliphatic hydrocarbons and was consistent with local and regional anthropogenic activity. In general, the investigation on the sediment core revealed a trend of regional environmental change and the role of anthropogenic activity in environmental change.


Human and Ecological Risk Assessment | 2017

Geochemical speciation and ecological risk assessment of heavy metals in surface soils collected from the Yellow River Delta National Nature Reserve, China

Houqi Liu; Guijian Liu; Chuncai Zhou; Zijiao Yuan; Chunnian Da

ABSTRACT In this study, a comprehensive assessment of soil heavy metal (HMs) pollution in the Yellow River Delta National Nature Reserve (YRDNNR) was conducted. Spatial distributions, chemical fractions, and sources of eight HMs (Cu, Zn, Pb, Cr, Cd, Fe, Mn, and Ni) in 46 soil samples in the studied region were analyzed. In addition, the potential risks of the HMs were evaluated. The results showed that the mean concentrations of Cu, Zn, Pb, Cr, Cd, Fe, Mn, and Ni were 19.4, 65.2, 38.4, 55.9, 0.078, 41546.5, 510.3, and 27.5 mg kg−1, respectively. It indicates that the concentrations of most HMs, with exception of Pb and Fe, in samples were similar to the background value of soil in China. Principal component analysis results showed that the HMs originated mainly from natural sources, but Pb pollution in the studied area was significantly caused by anthropogenic activities. In addition, Ecological risk assessment statistical analysis indicates that the HM contamination level in YRDNNR ranged from low to moderately polluted, however, the environmental risk due to Mn and Pb contamination was high.


Ecotoxicology and Environmental Safety | 2014

Analysis of HCHs and DDTs in a sediment core from the Old Yellow River Estuary, China.

Chunnian Da; Guijian Liu; Zijiao Yuan


Environmental Pollution | 2016

Occurrence and levels of polybrominated diphenyl ethers in surface sediments from the Yellow River Estuary, China☆

Zijiao Yuan; Guijian Liu; Michael Hon-Wah Lam; Houqi Liu; Chunnian Da


Soil Science Society of America Journal | 2014

Sources and Risk Assessment of Organochlorine Pesticides in Surface Soils from the Nature Reserve of the Yellow River Delta, China

Chunnian Da; Guijian Liu; Ruoyu Sun; Zijiao Yuan; Quan Tang; Houqi Liu

Collaboration


Dive into the Chunnian Da's collaboration.

Top Co-Authors

Avatar

Guijian Liu

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Zijiao Yuan

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Houqi Liu

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Jie Wang

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Chuncai Zhou

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Shanshan Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Quan Tang

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Rongqiong Liu

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Ruoyu Sun

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Ruwei Wang

University of Science and Technology of China

View shared research outputs
Researchain Logo
Decentralizing Knowledge