Jing Liu

Dr. Jing Liu

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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1 September 2019 in Journal of Environmental Management
Verified
Journal Article
Closed access
JLJing Liu
Jing Liu
RLRenzhi Liu
Renzhi Liu
ZZZhijiao Zhang
Zhijiao Zhang
YCYanpeng Cai
Yanpeng Cai
LZLixiao Zhang
Lixiao Zhang


RLRenzhi Liu
Renzhi Liu
JLJing Liu
Jing Liu
ZZZhijiao Zhang
Zhijiao Zhang
Alistair BorthwickAlistair Borthwick
Alistair Borthwick
KZKe Zhang
Ke Zhang
Over the past half century, a surprising number of major pollution incidents occurred due to tailings dam failures. Most previous studies of such incidents comprised forensic analyses of environmental impacts after a tailings dam failure, with few considering the combined pollution risk before incidents occur at a watershed-scale. We therefore propose Watershed-scale Tailings-pond Pollution Risk Analysis (WTPRA), designed for multiple mine tailings ponds, stemming from previous watershed-scale accidental pollution risk assessments. Transferred and combined risk is embedded using risk rankings of multiple routes of the “source-pathway-target” in the WTPRA. The previous approach is modified using multi-criteria analysis, dam failure models, and instantaneous water quality models, which are modified for application to multiple tailings ponds. The study area covers the basin of Gutanting Reservoir (the largest backup drinking water source for Beijing) in Zhangjiakou City, where many mine tailings ponds are located. The resultant map shows that risk is higher downstream of Gutanting Reservoir and in its two tributary basins (i.e., Qingshui River and Longyang River). Conversely, risk is lower in the midstream and upstream reaches. The analysis also indicates that the most hazardous mine tailings ponds are located in Chongli and Xuanhua, and that Guanting Reservoir is the most vulnerable receptor. Sensitivity and uncertainty analyses are performed to validate the robustness of the WTPRA method.

1 September 2018 in Ecological Indicators
Verified
Journal Article
Closed access
LDLei Dong
Lei Dong
JLJing Liu
Jing Liu
XDXi Du
Xi Du
CDChao Dai
Chao Dai
RLRenzhi Liu
Renzhi Liu

1 November 2015 in Emerging Contaminants
Verified
Journal Article
Open access
JXJiangjie Xu
Jiangjie Xu
JNJunfeng Niu
Junfeng Niu
XZXinqi Zhang
Xinqi Zhang
JLJing Liu
Jing Liu
GCGaopin Cao
Gaopin Cao
XKXiangru Kong
Xiangru Kong
Three hydrophobic and polyporous electrospun fibrous membranes (EFMs) were prepared by electrospinning methoxy polyethylene glycol-poly(lactide-co-glycolide) (MPEG-PLGA), poly(d,l-lactide-co-glycolide) (PLGA) and poly(d,l-lactide) (PDLLA). The effects of pH and dissolved organic matter (DOM) on triclosan (TCS) sorption by EFMs in aqueous solution were investigated. The results indicated that hydrogen bonding, hydrophobic and π–π bonding interactions led to fast adsorption, which governed the adsorption rates of TCS onto EFMs. The maximum sorption capacities of MPEG-PLGA, PLGA and PDLLA reached 130, 93 and 99 mg g−1, respectively, which were in positive correlation with their pore volumes and influenced by pore filling processes. The solution pH could significantly influence the TCS sorption by EFMs. In acid condition, protonated TCS facilitated their sorption onto EFMs. No obvious sorption was observed in alkaline condition due to repulsive forces between negatively charged EFMs and deprotonated TCS (pKa = 7.9). The presence of DOM inhibited TCS sorption onto EFMs due to competitive adsorption. The results could be due to the occupation of the adsorption sites and the blockage of the pore entrance by DOM

10 October 2023 in Land
Verified
Journal Article
Open access
PDF file
XXXiaojuan Xu
Xiaojuan Xu
FJFusheng Jiao
Fusheng Jiao
DLDayi Lin
Dayi Lin
JLJing Liu
Jing Liu
KZKun Zhang
Kun Zhang
CZChangxin Zou
Changxin Zou
Southwest China (SWC) holds the distinction of being the world’s largest rock desertification area. Nevertheless, the impacts of climate change and ecological restoration projects on the carbon sinks in the karst area of Southwest China have not been systematically evaluated. In this study, we calculated carbon sinks by utilizing the Carnegie–Ames–Stanford Approach (CASA) model, and the actual measurements, including the net primary productivity (NPP) data and soil respiration (Rs,) were calculated to obtain carbon sink data. Our findings suggest that the carbon sinks in the karst areas are displaying increasing trends or positive reversals, accounting for 58.47% of the area, which is larger than the overall average of 45.08% for Southwest China. This suggests that the karst areas have a greater carbon sequestration potential. However, approximately 10.42% of carbon sinks experience negative reversals. The regions with increasing and positive reversals are primarily located in the western parts of Guizhou and Guangxi, while negative reversals are observed in the eastern parts of Chongqing, Guangxi, and Guizhou. Ecological restoration projects are the main driving factors for the carbon sinks with increasing trends. Increased humidity and ecological restoration management are the main reasons for the positive reversals of carbon sinks. However, warming and drought shift the carbon sinks from increasing to decreasing in Chongqing, east of Guangxi and Guizhou. The findings of this study highlight the significant role of ecological restoration projects and reexamine the impact of climate change on carbon sequestration.