Jing Zhang

Dr. Jing Zhang


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

View All Publications
5 January 2017 in Journal of Materials Chemistry C
Verified
Journal Article
Closed access
PDF file
ZZZhitao Zhang
Zhitao Zhang
XSXiang Shi
Xiang Shi
HLHuiqing Lou
Huiqing Lou
YXYifan Xu
Yifan Xu
JZJing Zhang
Jing Zhang
HPHuisheng Peng
Huisheng Peng
A novel type of lightweight and stretchable light-emitting fabric is developed with the highest brightness that is above 70 cd m−2. The brightness of the stretchable light-emitting fabric can be maintained at 98.5% even after stretching for 100 cycles at a strain of 100% with a stretching speed of 10% strain per s. This stretchable light-emitting fabric is further integrated with different colors of light-emitting modules for display. It is also able to detect external stimuli such as pressure, accompanying this detection with a visual feedback.

24 July 2020 in Water
Verified
Journal Article
Open access
PDF file
JZJing Zhang
Jing Zhang
DDDong Du
Dong Du
DJDongli Ji
Dongli Ji
YBYaonan Bai
Yaonan Bai
WJWanjun Jiang
Wanjun Jiang
The Chaobai River (CBR) basin in northern China is experiencing an unprecedented continuous inflow of external water via the South–North Water Diversion Project, which has channeled water from the southern part of the country to the north. Consequently, the steady rise of groundwater table in recent years is threatening soil salinity regulation. The purpose of this study was to describe the status of salinity of the surface soil in the CBR basin and to evaluate the impact of environmental factors including groundwater table on the spatial distribution of soil salinity using multivariate analysis (MVA) technique. In this study, 10 chemical variables of soil samples collected in 204 sites along CBR were analyzed, considering their interaction with three environmental factors: the density of irrigation canals, groundwater depth and topography. Statistical analysis mainly consisted of principal component analysis (PCA), redundancy analysis (RDA) and clustering analysis (CA). The results allow defining the surface soil in the CBR basin as a slightly saline and moderately alkaline media. The first two axes of multivariate model approximately explains 51% of the observed variability and allows distinguishing two main domains: the saline and the alkaline. The variability of the saline domain, defined by major cations and anions, is obviously controlled by macro environmental factors, of which the density of irrigation canals and groundwater depth contributes 71% and 28%, respectively, while that of the alkaline domain, related to pH and bicarbonate, mainly manifests as singular behaviors of soil groups like rice cultivation or sewage irrigation. The results suggests that more attention should be paid to the ongoing water table rise to help inform future land management decisions and to prevent a double threat of both groundwater and surface water on soil salinization. Meanwhile, this study shows the enormous potential of MVA technique, specifically the complementary duo of RDA and CA, for integrating both global and local information of soil salinity and environmental factors.

2 September 2024 in Water
Verified
Journal Article
Open access
PDF file
YXYubo Xia
Yubo Xia
GCGuangfang Chen
Guangfang Chen
FLFutian Liu
Futian Liu
JZJing Zhang
Jing Zhang
HNHang Ning
Hang Ning
Xilinhot City is a significant pastoral city in China where groundwater serves as the primary water source for the cold and arid pastoral regions. The formation and evolution of material components in groundwater, as well as groundwater quality, are directly linked to the health of pastoral residents. This study is based on the physical and chemical test results of 22 groundwater samples collected from the Xilinhot River Basin in Inner Mongolia. Various statistical analyses, including Piper and Chadha diagrams, as well as hydrogeochemical simulation methods, were employed to assess the hydrogeochemical characteristics and material composition sources of groundwater, evaluate groundwater quality and non-carcinogenic risks, and comprehensively discuss the impact of macro- and microelements on human health. The findings indicate that igneous rocks containing minerals such as potassium feldspar, plagioclase, and pyroxene contribute Na+, Cl−, and K+ to the groundwater, while sedimentary rocks containing minerals like dolomite and calcite supply ions such as Ca2+, Mg2+, and HCO3−. The groundwater quality is primarily classified as Class II–V, with F− and NO3− exhibiting varying hazard quotients for children and adults in the study area, though they do not pose a non-carcinogenic risk. Additionally, the enrichment of hardness, Ca2+, Mg2+, Na+, SO42−, and other indicators in localized areas exceeds the recommended values for drinking water, potentially impacting the digestive and urinary systems of the human body. There is a risk of excessive fluoride in areas where F levels exceed 1 mg/L. Furthermore, the content of beneficial micronutrients such as selenium (Se), zinc (Zn), boron (B), and germanium (Ge) is relatively low. Based on the elemental abundance characteristics and a comparative analysis of the chemical properties of groundwater across five regions of China, this comparison facilitates a discussion on the definition of healthy groundwater, particularly in relation to safe consumption in cold and arid regions. This study aims to highlight the health issues associated with drinking groundwater in the cold and arid regions of Mongolia. The findings serve as a valuable reference for efforts aimed at reducing the incidence of endemic diseases and enhancing human lifespan.

15 October 2024 in Environmental Earth Sciences
Verified
Journal Article
Closed access
PDF file
JZJing Zhang
Jing Zhang
FLFutian Liu
Futian Liu
HNHang Ning
Hang Ning
YXYubo Xia
Yubo Xia
ZZZhuo Zhang
Zhuo Zhang
DJDongli Ji
Dongli Ji

30 October 2025 in Journal of Hydrology
Verified
Journal Article
Closed access
JZJing Zhang
Jing Zhang
FLFutian Liu
Futian Liu
HNHang Ning
Hang Ning
YXYubo Xia
Yubo Xia
WJWanjun Jiang
Wanjun Jiang
DJDongli Ji
Dongli Ji

5 February 2025 in Water
Verified
Journal Article
Open access
PDF file
SCSheming Chen
Sheming Chen
Wanjun JiangWanjun Jiang
Wanjun Jiang
ZZZhuo Zhang
Zhuo Zhang
FLFutian Liu
Futian Liu
JZJing Zhang
Jing Zhang
HNHang Ning
Hang Ning
As an important drinking water source for Beijing, the capital of China, the water inflow of Miyun Reservoir has been decreasing year by year, which has affected the urban water supply security. To understand the variation trend of the inflow and analyze the main factors influencing the runoff change, this research focused on the watershed of Miyun Reservoir as the target. Based on the runoff data from 1984 to 2020 at the outlet of the basin, as well as the precipitation, potential evaporation intensity, NDVI (normalized difference vegetation index), population, and GDP (Gross Domestic Product) data, combined with correlation analysis methods, empirical statistical methods, the SCRCQ (Slope Change Ratio of Cumulative Quantity) method, and the GIS, the interannual variation characteristics of various elements in the basin were analyzed, the correlation between runoff and other factors was studied, and the influencing degrees of precipitation, water surface evaporation intensity, human activities, and other factors on the runoff change in the basin were quantitatively separated. The research results showed that the runoff exhibited a distinct decreasing trend, and there were two mutation points in the basin runoff from 1984 to 2020, which were 1995 and 2014, respectively. The runoff change was divided into three stages: 1984–1995 (upward trend in T1), 1995–2014 (downward trend in T2), and 2014–2020 (stable trend in T3). Runoff was significantly correlated with four indicators: the summer leaf area index of the Chaohe River and Baihe River, the regional GDP and population, among which the correlation of the summer leaf area index was the largest. Compared with the period T1, the contribution rates of climate change to the runoff reduction in T2 and T3 were 6.38% and 5.73%, and the contribution rates of human activities to the runoff reduction were 93.62% and 94.27%, respectively. Therefore, the change in annual runoff in the Miyun Reservoir watershed is mainly affected by human activities, and the contribution of climate change to the runoff attenuation is weak. This study is significant in the maintenance and enhancement of runoff in typical watershed.