Qinghe Zhao

Dr. Qinghe Zhao

Henan University, Kaifeng, China
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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28 February 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
YJYaru Jing
Yaru Jing
QZQinghe Zhao
Qinghe Zhao
MLMengwen Lu
Mengwen Lu
AWAn Wang
An Wang
JYJinhai Yu
Jinhai Yu
SDShengyan Ding
Shengyan Ding

1 March 2022 in CATENA
Verified
Journal Article
Closed access
QZQinghe Zhao
Qinghe Zhao
SDShengyan Ding
Shengyan Ding
XLXunling Lu
Xunling Lu
GLGuofu Liang
Guofu Liang
ZHZhendong Hong
Zhendong Hong
YJYaru Jing
Yaru Jing

11 February 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
ZHZhendong Hong
Zhendong Hong
QZQinghe Zhao
Qinghe Zhao
JCJinlong Chang
Jinlong Chang
LPLi Peng
Li Peng
SWShuoqian Wang
Shuoqian Wang
SDShengyan Ding
Shengyan Ding
Assessing spatiotemporal variation in water quality and heavy metals concentrations in wetlands and identifying metal contamination source are crucial steps for the protection and sustainable utilization of water resources. Using the water quality identification index (Iwq), heavy metal pollution index (HPI), hierarchical cluster analysis (HCA) and redundancy analysis (RDA), we evaluated spatiotemporal variation in water quality and heavy metals concentrations, and their interrelation in wetlands along the middle and lower Yellow River. The average Iwq was highest during flood season but the average HPI was lowest in the same season. Meanwhile, the trend in mean HPI across three hydrological seasons was the opposite to that of mean Iwq. There was significant variation in wetlands water pollution status across seasons. During the flood season, the wetlands in the affected area with hanging river were seriously polluted. In other seasons, pollution in the artificial wetlands was even more severe. Moreover, serious pollution of wetlands in belt transect #03 (Yuanyang-Zhongmu) was more frequent. Dissolved oxygen and chemical oxygen demand strongly influenced heavy metal concentrations, while other water quality parameters had different influences on heavy metal concentrations in different hydrological seasons. The causes of water pollution were divided into natural factors and human disturbance (with potential relationships between them). The polluted wetlands were greatly affected by the Yellow River during the flood season while they were more impacted by agricultural and domestic sewage discharge in other seasons. However, heavy metal deposition and leaching into riparian wetlands were still affected by diverse channel conditions. If this trend is allowed to continue unabated, wetlands along the middle and lower Yellow River are likely to lose their vital ecological and social functions.

5 January 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
MLMengwen Lu
Mengwen Lu
QZQinghe Zhao
Qinghe Zhao
SDShengyan Ding
Shengyan Ding
SWShuoqian Wang
Shuoqian Wang
ZHZhendong Hong
Zhendong Hong
AWAn Wang
An Wang

1 May 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
ZHZhendong Hong
Zhendong Hong
SDShengyan Ding
Shengyan Ding
QZQinghe Zhao
Qinghe Zhao
PQPengwei Qiu
Pengwei Qiu
JCJinlong Chang
Jinlong Chang
GLGang-Jun Liu
Gang-Jun Liu

1 December 2021 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Open access
QZQinghe Zhao
Qinghe Zhao
SDShengyan Ding
Shengyan Ding
ZHZhendong Hong
Zhendong Hong
XJXiaoyu Ji
Xiaoyu Ji
SWShuoqian Wang
Shuoqian Wang
YJYaru Jing
Yaru Jing
The water-sediment regulation scheme (WSRS) of dams influences the desorption, resuspension, and deposition processes of riparian sediments, which in turn affect the spatial-temporal variations of heavy metals (HMs) in riparian sediments and leads to severe degradation of soil and water quality. However, the difference between the trapping effect of dams and the redistribution effects of the WSRS on HMs in riparian sediments, as well as the consecutively seasonal change of HMs after the WSRS, are rarely reported. To fill this gap, the concentrations of six HMs including Cd, Cr, Cu, Ni, Pb, and Zn in riparian sediments along the Xiaolangdi Dam (XLD) Reservoir and its downstream reach were investigated, and the contamination level and potential ecological risk of HMs were assessed, to differentiate the effects of the XLD and its WSRS on the concentration, contamination level, and potential ecological risks of HMs. The results indicated that the mean HM concentrations in riparian sediments were higher than the background values in the study area and showed significant spatial and temporal variations. However, the regional differences of HM concentrations caused by the trapping effect of the XLD were less than the seasonal differences caused by the redistribution effects of the WSRS. The contamination and ecological risk assessment indicated that riparian sediments in the study area were contaminated by the six HMs, particularly by Cd and Pb, which overall exhibited a high and moderate ecological risk, respectively. The sources for Pb were likely agricultural inputs, while the sources for Cd should be attributed to both industrial and agricultural inputs. Overall, the trapping effect of the XLD led to the accumulation of HMs in riparian sediments along the reservoir area, while the regulation effects of the WSRS resulted in the redistribution of HMs in riparian sediments from the reservoir area to the downstream reach.