Shengnan Zhao

Dr. Shengnan Zhao


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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5 July 2024 in Toxics
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Journal Article
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SZShengnan Zhao
Shengnan Zhao
YZYunxi Zhao
Yunxi Zhao
ZCZhimou Cui
Zhimou Cui
HZHUI ZHANG
HUI ZHANG
金张金达 张
金达 张
Heavy metals (HMs) in aquatic environments are characterized by high toxicity, a propensity for bioaccumulation, and non-degradability, and pose significant risks to biological communities. Previous studies of HMs in lakes have shown that the physical and chemical characteristics of the lake water may control both the migration of HMs in the sediments and the concentration of heavy metals in the lake water. In fact, the change in aquatic environments changes the heavy metal fraction in the sediment, which controls the release of HMs. In this paper, we investigated the effects of the pH, temperature, and salinity levels of overlying water on the chemical fraction of Cu and Zn in Wuliangsuhai Lake surface sediments. The results show that lower water pH and higher water salinity and temperature could increase Cu and Zn release from the sediment. An increase in pH led to changes in the speciation of solid fractions of Zn, namely increases in the residual fraction and decreases in the organic matter and sulfide, whereas acid-extractable and Fe-Mn oxide fractions remained largely the same. Increases in temperature and salinity led to opposite changes in the speciation of solid fractions, namely decreases in the residual fraction and increases in the organic matter and sulfide and Fe-Mn oxide fractions, whereas acid-extractable fractions remained largely the same. The effect of pH, temperature, and salinity on Cu fractions in the solids was much smaller. According to the ratio of the secondary phase to the primary phase (RSP), acidic, high-temperature, and high-salt conditions increase the release risks of Zn. Changes in water temperature have the greatest influence on the risk of Zn and Cu release from sediments, followed by the influence of salinity changes.

11 April 2023 in Remote Sensing
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Journal Article
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BSBiao SUN
Biao SUN
ZYZhiyan Yang
Zhiyan Yang
SZShengnan Zhao
Shengnan Zhao
XSXiaohong Shi
Xiaohong Shi
YLYu Liu
Yu Liu
JHJussi Huotari
Jussi Huotari
Hulun Lake is the largest lake in northeastern China, and its basin is located in China and Mongolia. This research aims to analyze the dynamic changes in the water volume of Hulun Lake and to estimate the groundwater recharge of the lake during the past 60 years. Multi-source data were used, and water-level-data-interpolation extrapolation, water-balance equations, and other methods were applied. The proportion of the contribution of each component to the quantity of water in Hulun Lake during the last 60 years was accurately calculated. Evaporation loss was the main component in the water loss in Hulun Lake. In the last 60 years, the average annual runoff into the lake was about 1.202 billion m3, and it was the factor with the largest variation range and the leading factor affecting the changes in the quantity of water in Hulun Lake. There was groundwater recharge in Hulun Lake for a long period, and the average annual groundwater recharge was about 776 million m3 (excluding leakage). The contribution ratio of the river water, groundwater, and precipitation to the recharging of Hulun Lake was about 5:3:2. The changes in the quantity of water in Hulun Lake are affected by climate change and human activities in China and Mongolia, especially those in Mongolia.

1 June 2021 in Crystals
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Shuixia ZhaoShuixia Zhao
Shuixia Zhao
WWWen-Jun Wang
Wen-Jun Wang
XSXiao-Hong Shi
Xiao-Hong Shi
SZShengnan Zhao
Shengnan Zhao
YWYingjie Wu
Yingjie Wu
Tomasz KolerskiTomasz Kolerski
Tomasz Kolerski
Concern has been expressed regarding the impacts of climate change on river ice and ice jam formation in cold regions. Ice jams are easily initiated in bends and narrow channels and cause disasters. In this study, observations and remote sensing monitoring are used to study the freeze-up ice jam formation of bends. Sediment transport and freezing process of the river interact, influencing bed changes profile and sedimentary budget. River ice processes, channel evolution, ice hydro-thermodynamics, and ice jam accumulation are explored. The results show that the channel topography determines the river thalweg, and that the channel elevation interacts with the river ice through sediment transport. The channel shrinkage increases the probability of ice jam, and the sharp bend is prone to ice jam formation. Under the effect of secondary circulation flow in the bend and in the outer bank, the juxtaposed freeze-up and the hummocky ice cover occur in the same location, and frazil ice accumulates under the junction of the main channel and the shoals. Affected by the increase of the hydraulic slope and the velocity downstream, open water reaches develops downstream of the ice accumulation. An open water section is emerged upstream of the bend, due to the ice deposition, and partly cut-off supply of the frazil.

1 July 2025 in Marine Pollution Bulletin
Verified
Journal Article
Closed access
SZShengnan Zhao
Shengnan Zhao
HZHUI ZHANG
HUI ZHANG
JZJinda Zhang
Jinda Zhang
XSXiaohong Shi
Xiaohong Shi
BSBiao Sun
Biao Sun
JWJingyi Wang
Jingyi Wang

4 February 2025 in Environmental Pollution
Verified
Journal Article
Closed access
金张金达 张
金达 张
HZHUI ZHANG
HUI ZHANG
SZShengnan Zhao
Shengnan Zhao
XSXiaohong Shi
Xiaohong Shi
BSBiao Sun
Biao Sun
ZCZhimou Cui
Zhimou Cui

9 April 2025 in Toxics
Verified
Journal Article
Open access
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HZHUI ZHANG
HUI ZHANG
SZShengnan Zhao
Shengnan Zhao
Xiaohong ShiXiaohong Shi
Xiaohong Shi
金张金达 张
金达 张
ZCZhimou Cui
Zhimou Cui
JWJingyi Wang
Jingyi Wang
To investigate the changes in heavy metal content in the sub glacial water during the freezing and thawing process of seasonally frozen lakes, the Wuliangsuhai Lake in northern China was taken as the research object. The ice thickness, water depth, and heavy metal content at different depths of the lake were measured during the freezing and thawing periods. Based on a large amount of measured lake heavy metal data, MATLAB 2022b software is used to model data fitting and optimization identification, and wavelet analysis and 24 h sliding average method are used for verification analysis to describe the variation process of heavy metal concentration in ice water with depth and time. The results show that during the freezing and thawing periods of lakes, the water level is constantly changing, but the heavy metal content in the water below the ice follows the same distribution with water depth. During the freezing process, the heavy metal content in the water increases with the increase in ice thickness. A new numerical model describing the spatiotemporal distribution of heavy metals under the ice during the freezing period of the lake was obtained through calculation. The overall trend of the simulated contour lines is consistent with the measured values and has a small error. This study provides a reference for predicting the changes in heavy metal content under the ice cover during the freezing period in cold and arid regions. The model can be used to simulate the content values of heavy metals at different depths and times.