Yanping Li

Western University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Zhenhua Li

Global Institute for Water Security

Fei Chen

Hong Kong University of Science and Technology

Fei Huo

University of Saskatchewan

J. S. Famiglietti

Arizona State University

Michael Barlage

NOAA Environmental Modeling Center

Zhongqiang Li

Louisiana State University

Jian Xu

First Affiliated Hospital Zhejiang University

Zhe Zhang

NSF National Center for Atmospheric Research

Ma Xiao

Western University

Lucía Scaff

University of Concepción

Cooperative Institutions

Chinese Academy of Sciences

130

University of Saskatchewan

University of Chinese Academy of Sciences

Global Institute for Water Security

Beijing Normal University

Chinese Research Academy of Environmental Sciences

Nanchang University

Sichuan University

Sun Yat-sen University

NSF National Center for Atmospheric Research

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Insights into the effects of heavy metal pressure driven by long-term treated wastewater irrigation on bacterial communities and nitrogen-transforming genes along vertical soil profiles

Journal of Hazardous Materials (2020)

Beidou Xi Hong Yu Yanping Li Qiuling Dang Wenbing Tan

Topsoil

10.1016/j.jhazmat.2020.123853

Cite

Citations (57)

Characteristics of dissolved organic nitrogen (DON) and relationship with water quantity in the overlying water of Erhai Lake.

China Environmental Science (2016)

Wen-Zhang Li Zhang Li Shengrui Wang Shangbin Xiao Yanping Li

Source

Cite

Citations (1)

Proteomic insights from extracellular vesicles into the molecular mechanisms of health effects induced by Per- and polyfluoroalkyl substances

Journal of Environmental Sciences (2024)

Yanping Li Yadan Luo Yang Liu Na Li Kai Huang

Extracellular Vesicles

10.1016/j.jes.2024.03.034

Cite

Citations (0)

Hydroponic Phytoremediation of Ni, Co, and Pb by Iris Sibirica L.

Sustainability (2021)

Shuming Wan Jun Pang Yiwei Li Yanping Li Jia Zhu

Heavy metal pollution in mine wastelands is quite severe. Iris sibirica L., an emergent wetland plant, is characterized by an ability to survive under high stress of heavy metals. This study aimed to explore the phytoremediation ability of nickel (Ni), cobalt (Co), and lead (Pb) by Iris sibirica L. under hydroponic conditions. A series of tests were conducted at different metal stress conditions to evaluate the phytoextraction and tolerance of Iris sibirica L. The concentrations of Ni, Co, and Pb in plant shoots reached their highest values in 500 mg L−1 treatments, where they were 6.55%, 23.64%, and 79.24% higher than those in 300 mg L−1, respectively. The same concentrations in roots also reached their peak in 500 mg L−1 treatments, where they were 5.52%, 33.02%, and 70.15% higher than those in 300 mg L−1, respectively. Bioconcentration factors (BCF) for Ni, Co, and Pb revealed the phytoextraction ability of Iris sibirica L., and the translocation factors (TCF) showed that Ni may be most easily translocated in the plant, followed by Co and Pb. This study indicates that, compared with Ni and Co, Iris sibirica L. is more suitable for the phytoremediation of Pb-contaminated metal mine wastelands.

Bioconcentration

IRIS (biosensor)

10.3390/su13169400

Cite

Citations (10)

Modeling groundwater responses to climate change in the Prairie Pothole Region

Hydrology and earth system sciences (2020)

Zhe Zhang Yanping Li Michael Barlage Fei Chen Gonzalo Miguez‐Macho

Abstract. Shallow groundwater in the Prairie Pothole Region (PPR) is predominantly recharged by snowmelt in the spring and supplies water for evapotranspiration through the summer and fall. This two-way exchange is underrepresented in current land surface models. Furthermore, the impacts of climate change on the groundwater recharge rates are uncertain. In this paper, we use a coupled land–groundwater model to investigate the hydrological cycle of shallow groundwater in the PPR and study its response to climate change at the end of the 21st century. The results show that the model does a reasonably good job of simulating the timing of recharge. The mean water table depth (WTD) is well simulated, except for the fact that the model predicts a deep WTD in northwestern Alberta. The most significant change under future climate conditions occurs in the winter, when warmer temperatures change the rain/snow partitioning, delaying the time for snow accumulation/soil freezing while advancing early melting/thawing. Such changes lead to an earlier start to a longer recharge season but with lower recharge rates. Different signals are shown in the eastern and western PPR in the future summer, with reduced precipitation and drier soils in the east but little change in the west. The annual recharge increased by 25 % and 50 % in the eastern and western PPR, respectively. Additionally, we found that the mean and seasonal variation of the simulated WTD are sensitive to soil properties; thus, fine-scale soil information is needed to improve groundwater simulation on the regional scale.

Snowmelt

Meltwater

Water balance

10.5194/hess-24-655-2020

Cite

Citations (23)

NIPSNAP3A regulates cellular homeostasis by modulating mitochondrial dynamics

Gene (2024)

Run Yan Liting Chen Zimu Cai Jiyao Tang Yanlin Zhu

Homeostasis

Dynamics

10.1016/j.gene.2024.148976

Cite

Citations (0)

Incorporating multistate unit models in composite system adequacy assessment

IEEE International Conference on Probabilistic Methods Applied to Power Systems (2004)

R. Billinton Yanping Li

Components are usually represented by a two state model in conventional generating capacity and composite generation and transmission system reliability studies. Multistate generating unit models create a significant increase in the number of generation contingency states and can result in a considerable increase in the overall solution time. In order to avoid this problem, the derated states are usually amalgamated with the totally forced out state to create the derating-adjusted forced outage rate (DAFOR). This statistic is also known as the equivalent forced outage rate (EFOR). Studies have shown that modeling large generating units in generating capacity adequacy assessments using DAFOR can provide pessimistic appraisals. Many utilities therefore use multistate generating unit representations to assess generating capacity adequacy, in order to obtain more accurate appraisals. There is relatively little published material dealing with the effects of using multistate generating unit representations in composite system adequacy assessment. This paper illustrates these effects by application to the IEEE-reliability test system. Load point and system indices for the test system are presented to illustrate the impact of incorporating multistate representations in composite system adequacy assessment. Attention is focused on the effects of model variations including how many derated states should be used in a multistate model to obtain a reasonably accurate appraisal

Derating

Statistic

Contingency

Source

Cite

Citations (19)

Observation Characteristics and Formation Mechanisms of Severe Weather Events

Frontiers research topics (2023)

Jianhua Sun Yanping Li Shenming Fu Xiao‐Ming Hu

10.3389/978-2-8325-3896-8

Cite

Citations (0)