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Y.P. Li
Researcher at Beijing Normal University
Publications - 29
Citations - 837
Y.P. Li is an academic researcher from Beijing Normal University. The author has contributed to research in topics: Stochastic programming & Water resources. The author has an hindex of 15, co-authored 29 publications receiving 494 citations. Previous affiliations of Y.P. Li include Applied Science Private University & Xiamen University of Technology.
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Journal ArticleDOI
Source apportionment and source-oriented risk assessment of heavy metals in the sediments of an urban river-lake system
Y.P. Li,Haiyang Chen,Yanguo Teng +2 more
TL;DR: Results showed the river-lake system was contaminated by Cd, Cu, Zn and other metals in varying degree, however, the element of Cd showed moderate ecological effect and source-oriented risk evaluation suggested industrial processes made higher contributions to the ecological risk of heavy metals in the riverside system.
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Characterization and source identification of antibiotic resistance genes in the sediments of an interconnected river-lake system.
TL;DR: Sources tracking and source-sink relationship disentangling indicated the prevalence of ARGs in the sediments of the river-lake system might be largely explained by the extent of human fecal contamination, and apportionment estimates the load transport from Fuhe River contributed more than 80% of ARG to the receiving Lake Baiyang.
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Planning water-energy-food nexus system management under multi-level and uncertainty
TL;DR: Compared to single level programming (SLP) and bi-level programming (BP) approaches, the MIFCP-WEFN model can help decision-makers identify the optimal agricultural water resources management schemes by means of the leadership of water resources managers as well as the feedback of two diverse followers.
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Planning municipal-scale mixed energy system for stimulating renewable energy under multiple uncertainties - The City of Qingdao in Shandong Province, China
L. Yu,Y.P. Li,Guohe Huang +2 more
TL;DR: In this article, an interval possibilistic-stochastic programming (IPSP) method that is capable of dealing with multiple uncertainties existed in the real-world mixed energy system (MES) is developed.
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Effects on microbiomes and resistomes and the source-specific ecological risks of heavy metals in the sediments of an urban river.
TL;DR: Results showed human activities dominated the risks of metals, and the urban activities majorly caused moderate- and considerable- ecological risks, while the mixed source with respect to agricultural and industrial activities contributed higher percentages on high- and extremely high- ecological risk.