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Distribution Characteristics and Risk Assessment of Heavy Metals in the Source Region of Yangtze River
QIAO Shuang, WANG Ting, ZHANG Qian, LIU Xinyao, ZHAO Mengyao
Acta Scientiarum Naturalium Universitatis Pekinensis 2022, 58 (
2
): 297-307. DOI:
10.13209/j.0479-8023.2022.007
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535
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Water and sediment samples in twelve monitoring sites were collected in the source region of Yangtze River in June 2017, followed by the content detection of seven metal ions, and assessment of pollution level and ecological risk with the consideration of geo-accumulation index, water quality index, and potential ecological risk index. As results, the concentrations of Mn, Ni, Cu, Zn, Cd, Pb, and Cr in water ranged among ND–4.21, 0.609
–
3.71, 0.033
–
5.01, ND–34.86, ND–0.06, ND–0.55 and 0.235–2.66 μg/L respectively, which were rather low compared with other aquatic systems. Their contents in sediment were in the range of 445.93–627.32, 10.11–17.85, 15.61–24.57, 45.40–125.20, 0.19–0.56, 14.85–235.21, and 27.94–46.18 mg/kg. Metal contents in sediment were dominated by background value, and barely impacted by physicochemical factors. Whereas natural or anthropogenic factors, such as NH
4
-N, NO
3
-N, SS and water temperature, displayed certain influence on ion contents in water according to correlation analysis. Results by water quality and risk assessment suggested that water quality in the source region of Yangtze River was excellent. The sediments at higher altitude area presented certain metal accumulation especially Zn, Pb, and Cd, which was perhaps due to the adjacent Pb-Zn deposits. Cd was the key factor that contributes to the potential ecological risk of sediment in the Yangtze River source. Overall, this study can fill in the gap of lacking detecting data at headwater, and provide a theoretical basis for the pollution prevention and control of heavy metals even in the whole Yangtze River basin.
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Distribution of Heavy Metals in the Upstream of Yellow River and Ecological Risk Assessment
ZHANG Qian, LIU Xiangwei, SHUI Yong, WANG Ting
Acta Scientiarum Naturalium Universitatis Pekinensis 2021, 57 (
2
): 333-340. DOI:
10.13209/j.0479-8023.2020.124
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14 sampling sections in the upstream of Yellow River were selected to detect concentrations of As, Zn, Cu, Cr, Pb and Cd, followed by ecological risk assessment. The metal content in water ranged among ND to 5.496 μg/L, while ND to 1097.995 μg/g in suspended solids (SS) and ND to 75.524 μg/g in sediment. NMDS results proved that metal contents in water displayed significant difference in spatial scale, while that in SS and sediments were remarkably diverse in different season. Correlation analysis proved that Zn, Cu, Cr and Pb were mainly from natural process, while As and Cd were partially from man-made pollution. Meanwhile, establishment and operation of reservoirs also impacted metal distributions, which could be the combined actions of interception to SS by big dams, dilution by impounding, and distribution effect in mud-water interface. Results by potential ecological risk index proved that heavy metals in the upstream of Yellow River showed low risk, and Cd and As played the important role.
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A Dynamic Density-Based Clustering Algorithm Appropriate to Large-Scale Text Processing
LI Xia,JIANG Shengyi,ZHANG Qiansheng,ZHU Jing
Acta Scientiarum Naturalium Universitatis Pekinensis
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Because of the high time complexity and complicated parameter setting in traditional density-based clustering algorithm, a new density definition is proposed, which just needs one parameter and can find clusters with different densities. The authors also expand the algorithm to a two-stage dynamic density-based clustering algorithm, which can process large-scale text corpus data. Experiments on synthetic dataset, large-scale dataset from UCI, English text corpus and Chinese text corpus show that TSDDBCA algorithm has the characteristic of easy parameter setting and high clustering efficiency, and can be applied to clustering process to large-scale text data.
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Composition Analysis of Non-thermal Atmospheric Pressure Plasma Micro Jet and a Study of Its Sterilization Effects
GUO Jinsong,PAN Jie,ZHANG Qian,WU Shan,LIANG Yongdong,WANG Jing
Acta Scientiarum Naturalium Universitatis Pekinensis
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A Method for Measuring Aerosol Activation Ratios with High Size Resolution
DENG Zhaoze,ZHAO Chunsheng,MA Nan,ZHANG Qiang,HUANG Mengyu
Acta Scientiarum Naturalium Universitatis Pekinensis