Yan Guo

Dr. Yan Guo

Suzhou University
+1
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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22 November 2020 in Environmental Earth Sciences
Verified
Journal Article
Closed access
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YGYan Guo
Yan Guo
JWJiuchuan Wei
Jiuchuan Wei
HGHerong Gui
Herong Gui
ZZZhi Zhang
Zhi Zhang
MHMancong Hu
Mancong Hu

2 January 2025 in Microorganisms
Verified
Journal Article
Open access
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DZDingxiang Zhuang
Dingxiang Zhuang
WYWeiheng Yao
Weiheng Yao
YGYan Guo
Yan Guo
ZCZhengzheng Chen
Zhengzheng Chen
HGHerong Gui
Herong Gui
YZYanyang Zhao
Yanyang Zhao
Recently, the ability of microbial-induced calcium carbonate precipitation (MICP) to remediate heavy metals has been widely explored. Sporosarcina pasteurii was selected to remediate heavy metal-contaminated solution and aged refuse, exploring the feasibility of Sporosarcina pasteurii bioremediation of heavy metals and analyzing the changes in heavy metal forms before and after bioremediation, as well as the mechanism of remediation. The results showed that Sporosarcina pasteurii achieved remediation rates of 95%, 84%, 97%, and 98% for Cd, Pb, Zn, and Cr (III) in contaminated solution, respectively. It also achieved remediation rates of 74%, 84%, and 62% for exchangeable Cd, Pb, and Zn in aged refuse, respectively. The content of exchangeable Cr (III) before bioremediation was almost zero. The content of heavy metals with exchangeable form and carbonate-bounded form in aged refuse decreased after bioremediation, while the content of heavy metals with iron–manganese oxide binding form and residual form increased. Simultaneously, the presence of Fe and Al components in aged refuse, as well as the precipitation of calcium carbonate produced during the MICP process, jointly promotes the transformation of heavy metals into more stable forms.

11 August 2020 in Groundwater
Verified
Journal Article
Closed access
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YGYan Guo
Yan Guo
HGHerong Gui
Herong Gui
JWJiuchuan Wei
Jiuchuan Wei
ZZZhi Zhang
Zhi Zhang
MHMancong Hu
Mancong Hu
XWXin Wang
Xin Wang

JCJiayu Chen
Jiayu Chen
HGHerong Gui
Herong Gui
YGYan Guo
Yan Guo
LJLi Jun
Li Jun
This study aimed to assess the heavy metal (Mn, Ni, Cu, Zn, Sr, Cd, Pb, and Cr) pollution characteristics, sources, and human health risks in shallow groundwater in the impact zones of urban and rural semi-intensive poultry farms in Suzhou City. Ordinary kriging interpolation showed that poultry farming contributed substantially to the pollution of shallow groundwater by Mn, Zn, and Cu. Positive matrix factorization was applied to identify the sources of heavy metals, and the health risks were assessed based on the hazard index and carcinogenic risks of the various sources. Heavy metal enrichment was closely related to anthropogenic activities. In addition, four sources were identified: poultry manure (29.33%), natural source (27.94%), industrial activities (22.29%), and poultry wastewater (20.48%). The main exposure route of carcinogenic and non-carcinogenic risks to adults and children was oral ingestion. The non-carcinogenic risk of oral ingestion in children was higher than that in adults; the carcinogenic risk was higher in adults than in children. Poultry manure (42.0%) was considered the largest contributor to non-carcinogenic risk, followed by poultry wastewater (21%), industrial activities (20%), and natural sources (17%). Industrial activity (44%) was the primary contributor to carcinogenic risk, followed by poultry wastewater (25%), poultry manure (19%), and natural sources (12%).

CLChen Li
Chen Li
HGHerong Gui
Herong Gui
YGYan Guo
Yan Guo
JCJiayu Chen
Jiayu Chen
LJLi Jun
Li Jun
YHYU HAO
YU HAO
Long-term mining activities have changed the hydrogeochemical evolution process of groundwater and threatened the safe use of groundwater. By using the methods of hydrochemistry and multivariate statistical analysis, this study determined the hydrogeochemical evolution mechanism affecting the quality of karst groundwater by analyzing the conventional hydrochemistry data of the karst groundwater of the Carboniferous Taiyuan Formation in Hengyuan Coal Mine in the recent 12 years. The results show that, under the disturbance of mining, the quality of karst groundwater in Taiyuan Formation is poor, mainly because the contents of Na++K+ and SO42− are too high to allow usage as drinking water. The reason for the high content of SO42− in karst groundwater lies in the dissolution of gypsum and the oxidation of pyrite, and the high content of Na++K+ lies in the cation exchange. Influenced by the stratum grouting, the circulation of karst groundwater is improved, the cation exchange is weakened, and the desulfurization is enhanced. In the future, it is predicted that the hydrochemical type of karst groundwater in Taiyuan Formation in the study area will evolve from SO4-Ca·Mg type to HCO3-Ca Mg type.

29 July 2021 in Polish Journal of Environmental Studies
Verified
Journal Article
Closed access
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XJXU JiYing
XU JiYing
HGHerong Gui
Herong Gui
HFHongxia Fang
Hongxia Fang
HDHongbao Dai
Hongbao Dai
YGYan Guo
Yan Guo
CWChunlei Wang
Chunlei Wang
With the increasing number of closed mines, the geological environment problems around closed mines have become increasingly prominent, especially in terms of soil pollution. In this paper, a total of 32 topsoil samples were collected from Qianling closed coal mine and the contents of Cu, Zn, Co, Cr, Mn, As, Cd and Pb were analyzed. The results indicated that the contents Zn and As exceeded the surface soil background values of Anhui Province. Compared with the soil of production mines, the contents of Pb and Zn were higher. The assessment results of pollution and ecological risk of soil based on Nemerow index, Geological accumulation index and potential ecological risk assessment method showed that the closed coal mine was in the mild to moderate pollution and mild hazard ecological risk. The Pearson correlation and positive matrix decomposition model were applied to identify the sources of soil heavy metals, which included atmospheric dustfall (22.47%), natural factors (22.51%), agricultural activities (4.40%), transportation (8.90%) and industrial emissions (42.08%), respectively.