Wenyang Wang

Dr. Wenyang Wang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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WWWenyang Wang
Wenyang Wang
XWXiyuan Wang
Xiyuan Wang
HZHao Zhang
Hao Zhang
SQShi Qingdong
Shi Qingdong
HLHuapeng Liu
Huapeng Liu
In soil, polycyclic aromatic hydrocarbons (PAHs) are tightly bound to organic components, but surfactants can effectively transform them from a solid to a liquid phase. In this study, the biosurfactant rhamnolipid (RL) was selected as the eluent; shaking elution in a thermostatic oscillator improved the elution rate of pyrene, and the effects of RL concentration, temperature, and elution time on the elution effect were compared. After four repeated washings, the maximum elution rate was 75.6% at a rhamnolipid concentration of 20 g/L and a temperature of 45 °C. We found that 38 μm Zero-Valent Iron (ZVI) had a higher primary reaction rate (0.042 h−1), with a degradation rate of 94.5% when 3 g/L ZVI was added to 21 mM Na2S2O8 at 60 °C. Finally, electron paramagnetic resonance (EPR) detected DMPO-OH and DMPO-SO4 signals, which played a major role in the degradation of pyrene. Overall, these results show that the combination of rhamnolipid elution and persulfate oxidation system effectively remediated pyrene-contaminated soil and provides some implications for the combined remediation with biosurfactants and chemical oxidation.

8 July 2026 in Water
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Journal Article
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YZYanliang ZHAI
Yanliang ZHAI
JXJingyi Xie
Jingyi Xie
RWRuifeng Wang
Ruifeng Wang
BYBaizhong Yan
Baizhong Yan
WWWenyang Wang
Wenyang Wang
SZSonglong Zhang
Songlong Zhang
Nitrate is one of the most prevalent inorganic pollutants in groundwater systems. Its concentration directly affects the safety assessment of groundwater quality. To scientifically identify nitrate sources in strontium-rich mineral water and facilitate the protection of mineral water resources, this study selects Chengde City, Hebei Province, as the study area. Nitrate source apportionment was quantified using the MixSIAR model, with uncertainties assessed via cumulative probability distributions. The results show that the nitrate concentration in strontium-rich mineral water of the study area ranges from <0.003 to 70.2 mg/L, with a coefficient of variation of 1.24, indicating high data dispersion. The nitrate sources present a mixed pollution characteristic dominated by natural processes and supplemented by human activities. Nitrification dominates biogeochemical processes of strontium-rich mineral water. Soil nitrogen is the primary contributor to nitrate in mineral water, with an average contribution rate of 70.4%, followed by manure; synthetic fertilizers and rainwater together account for less than 1% of the total. Uncertainty analysis shows that contributions of rainwater, synthetic fertilizer, manure, and soil nitrogen to nitrate in strontium-rich mineral water remain stable (UI95 < 0.15), verifying reliable results. This study provides guidance for protecting mineral water quality and sustainable resource exploitation.