Jing Chen

Jing Chen


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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30 April 2018 in Antonie van Leeuwenhoek
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Journal Article
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QCQing Chen
Qing Chen
HWHong-Mei Wang
Hong-Mei Wang
WZWen Zhuang
Wen Zhuang
ZSZhongguan Sun
Zhongguan Sun
JCJing Chen
Jing Chen
JHJian He
Jian He

3 July 2020 in Water
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WJWanxiang Jiang
Wanxiang Jiang
BPBaozhu Pan
Baozhu Pan
JCJing Chen
Jing Chen
XJXiaoming Jiang
Xiaoming Jiang
HSHenglun Shen
Henglun Shen
TZTianshun Zhu
Tianshun Zhu
In the present study, we choose the Weishan Lake, one of important water transfer and storage lakes on the eastern route of the South-to-North Water Diversion Project (SNWD) in China, to clarify how the community structure and assemblage-environment relationships of macroinvertebrates varied across three typical habitats (the River Mouth, Canal and Lake regions) over the four seasons in 2012. A total of 72 taxa belonging to 3 phyla, 9 classes and 24 families were recorded, with tolerant oligochaetes and chironomids as the dominant taxa. The environmental conditions and macroinvertebrate assemblages were clearly separated at spatial and temporal scales. Assemblage structure showed both significant but larger spatial than seasonal variations, with a clear separation of sites from three regions in an ordination plot. Compared to the temporal scale, more indicator species were retained to be responsible for the regional differences according to the two-way cluster analysis. Different environmental variables were significant for distinguishing macroinvertebrate assemblages among four seasons, and among them, pH was the only variable which was retained in all models. Our study provided useful background information of environmental characteristics and macroinvertebrate communities in a typical water transfer and storage lake before the water transfer of the SNWD. After the operation of SNWD, we envisage inter-basin water transfer (IBWT), which is usually accompanied by water level rise, nutrient pattern change and biota succession, will seriously affect recipient basins. Therefore, we propose several management strategies for SNWD: (1) target and detailed data should be collected on a timely basis; (2) government should prevent water pollution and adopt effective measures to protect the water environment; (3) the environmental assessments and other aspects of IBWT planning should be coordinated; (4) an overall consideration of different basins should be given to achieve a greater range of water resources planning, scheduling, and allocation; and (5) the migration and invasion of species should be of concern during the operation of the project.

7 September 2023 in Phytotaxa
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Journal Article
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HFHui Zhe Feng
Hui Zhe Feng
ZYZhao Yan Ying
Zhao Yan Ying
BHBi Ming Hui
Bi Ming Hui
LHLi Wen Hui
Li Wen Hui
JCJing Chen
Jing Chen

11 August 2023 in Phytotaxa
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HFHui Zhe Feng
Hui Zhe Feng
YZYan Ying Zhao
Yan Ying Zhao
MBMing Hui Bi
Ming Hui Bi
WLWen Hui Li
Wen Hui Li
CCCe Chang
Ce Chang
JCJing Chen
Jing Chen
Rohdea chloroxantha, a new species from south-western Shaanxi (Zhenba county), China, is described and illustrated. This species is similar to R. pachynema in having slender subterranean stolons, but differs by the former having chartreuse flowers and thick fleshy perianth, the tube semi enclosed with fleshy appendages at orifice, lobe margin semi-transparent; appendage and stamens constituted a semi-closed small space, and wrap the pistil inside; filaments cylindrical and the base reniform in cross section.

25 June 2025 in Water
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Journal Article
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HQHaiming Qin
Haiming Qin
XWXinxin Wang
Xinxin Wang
JSJingwen Shang
Jingwen Shang
LGLeiqiang Gong
Leiqiang Gong
HLHao Luo
Hao Luo
YYYuewei Yang
Yuewei Yang
In order to evaluate spatial pollution patterns of the Shaying River and assess human health risk, thirty-three sampling points were established in different reaches of the upper, middle, and lower reaches of the Shaying River. According to the difference in human activities and land use types, the sampling points were artificially divided into three areas: mountainous area, urban area, and agricultural area. Water samples and sediments were collected at each sampling site, and the physicochemical parameters of the water at each site were measured simultaneously. The nutrient content of water samples and the heavy metal content of sediments were measured in the laboratory. The water pollution status of the Shaying River, as well as the status of heavy metal pollution and its associated risk to human health, were assessed and analyzed using the Water Quality Index (WQI) method, principal component analysis (PCA) method, potential ecological risk index method, and health risk assessment method, respectively. The results of the Water Quality Index indicated that the water quality of the Shaying River was moderate, with the reaches in the urban area being more polluted, the agricultural area being the second most polluted, and the mountainous area being in better condition. The results of the principal component analysis showed that soluble ions, organic matter, and nutrients were the main factors contributing to water pollution in the Shaying River, and there was significant variability in the factors contributing to water pollution in different regions, with human activities being the main cause of this variation. The results of a potential ecological risk assessment of heavy metals in sediments showed that heavy metal pollution in the water bodies of the Shaying River was serious and had significant spatial variability. Mountain reaches were the most polluted, followed by agricultural reaches, and urban reaches were the least polluted. The results of the health risk assessment showed that non-carcinogenic risks of heavy metals in different reaches of the Shaying River were within acceptable limits, while carcinogenic risks in agricultural areas exceeded thresholds. Among them, agricultural areas had the highest health risk, with Cr being the most carcinogenic heavy metal and Pb and Cr being the most non-carcinogenic heavy metals. The assessment also found that children’s carcinogenic risk was 8.4 times higher than adult males and 7.3 times higher than adult females. This study involves the typical diverse areas where the Shaying River passes, in order to provide data support and a theoretical basis for environmental protection of the Shaying River Basin.