Bifeng Hu

Mr. Bifeng Hu

Unité de Recherche en Science du Sol, INRA, 45075 Orléans, France
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Bifeng HuBifeng Hu
Bifeng Hu
XJXiaolin Jia
Xiaolin Jia
JHJie Hu
Jie Hu
DXDongyun Xu
Dongyun Xu
FXFang Xia
Fang Xia
YLYan Li
Yan Li
Heavy metal (HM) contamination and accumulation is a serious problem around the world due to the toxicity, abundant sources, non-biodegradable properties, and accumulative behaviour of HMs. The degree of soil HM contamination in China, especially in the Yangtze River Delta, is prominent. In this study, 1822 pairs of soil and crop samples at corresponding locations were collected from the southern Yangtze River Delta of China, and the contents of Ni, Cr, Zn, Cd, As, Cu, Hg, and Pb were measured. The single pollution index in soil (SPI) and Nemerow composite pollution index (NCPI) were used to assess the degree of HM pollution in soil, and the crop pollution index (CPI) was used to explore the degree of HM accumulation in crops. The bioaccumulation factor (BAF) was used to investigate the translocation of heavy metals in the soil-crop system. The health risks caused by HMs were calculated based on the model released by the U.S. Environmental Protection Agency. The SPIs of all elements were at the unpolluted level. The mean NCPI was at the alert level. The mean CPIs were in the following decreasing order: Ni (1.007) > Cr (0.483) > Zn (0.335) > Cd (0.314) > As (0.232) > Cu (0.187) > Hg (0.118) > Pb (0.105). Only the mean content of Ni in the crops exceeded the national standard value. The standard exceeding rates were used to represent the percentage of samples whose heavy metal content is higher than the corresponding national standard values. The standard exceeding rates of Cu, Hg, and Cd in soil were significantly higher than corresponding values in crops. Meanwhile, the standard exceeding rates of Ni, As, and Cr in crops were significantly higher than corresponding values in soil. The chronic daily intake (CDI) of children (13.8 × 10−3) was the largest among three age groups, followed by adults (6.998 × 10−4) and seniors (5.488 × 10−4). The bioaccumulation factors (BAFs) of all crops followed the order Cd (0.249) > Zn (0.133) > As (0.076) > Cu (0.064) > Ni (0.018) > Hg (0.011) > Cr (0.010) > Pb (0.001). Therefore, Cd was most easily absorbed by crops, and different crops had different capacities to absorb HMs. The hazard quotient (HQ) represents the potential non-carcinogenic risk for an individual HM and it is an estimation of daily exposure to the human population that is not likely to represent an appreciable risk of deleterious effects during a lifetime. All the HQs of the HMs for the different age groups were significantly less than the alert value of 1.0 and were at a safe level. This indicated that citizens in the study area face low potential non-carcinogenic risk caused by HMs. The total carcinogens risks (TCRs) for children, adults, and seniors were 5.24 × 10−5, 2.65 × 10−5, and 2.08 × 10−5, respectively, all of which were less than the guideline value but at the alert level. Ingestion was the main pathway of carcinogen risk to human health.

1 March 2019 in Geoderma
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Journal Article
Closed access
JPJie Peng
Jie Peng
Asim BiswasAsim Biswas
Asim Biswas
QJQingsong Jiang
Qingsong Jiang
RZRuiying Zhao
Ruiying Zhao
JHJie Hu
Jie Hu
Zhou ShiZhou Shi
Zhou Shi

3 January 2020 in Scientific Data
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Journal Article
Open access
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FYFapeng Yan
Fapeng Yan
Wei ShangguanWei Shangguan
Wei Shangguan
JZJing Zhang
Jing Zhang
Bifeng HuBifeng Hu
Bifeng Hu
Depth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land surface processes, civil engineering, and other related fields. However, information about depth to bedrock in China is very deficient, and there is no independent map of depth to bedrock in China currently. This paper describes the materials and methods to produce high-resolution (100 m) depth-to-bedrock maps of China. For different research and application needs, two sets of data are provided for users. One is the prediction by the ensemble of the random forests and gradient boosting tree models, and the other is the prediction and the uncertainty of prediction based on quantile regression forests model. In comparison with depth-to-bedrock maps of China extracted from previous global predictions, our predictions showed higher accuracy and more spatial details. These data sets can provide more accurate information for Earth system research compared with previous depth-to-bedrock maps.

1 July 2020 in Environmental Pollution
Verified
Journal Article
Closed access
Bifeng HuBifeng Hu
Bifeng Hu
JXJie Xue
Jie Xue
YZYin Zhou
Yin Zhou
SSShuai Shao
Shuai Shao
ZFZhiyi Fu
Zhiyi Fu
Zhou ShiZhou Shi
Zhou Shi

1 March 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
Songchao ChenSongchao Chen
Songchao Chen
ZLZongzheng Liang
Zongzheng Liang
RWRichard Webster
Richard Webster
GZGanlin Zhang
Ganlin Zhang
YZYin Zhou
Yin Zhou
Zhou ShiZhou Shi
Zhou Shi

1 July 2020 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
XJXiaolin Jia
Xiaolin Jia
TFTingting Fu
Tingting Fu
Bifeng HuBifeng Hu
Bifeng Hu
Zhou ShiZhou Shi
Zhou Shi
ZLZhou Lianqing
Zhou Lianqing
YZYouwei Zhu
Youwei Zhu