C
Chao Liu
Researcher at Sichuan University
Publications - 73
Citations - 2121
Chao Liu is an academic researcher from Sichuan University. The author has contributed to research in topics: Chemistry & Catalysis. The author has an hindex of 15, co-authored 43 publications receiving 737 citations. Previous affiliations of Chao Liu include Xuzhou Institute of Technology & Beijing Forestry University.
Papers
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Catalytic ozonation of emerging pollutant and reduction of toxic by-products in secondary effluent matrix and effluent organic matter reaction activity.
Yuting Zhang,Yechen An,Chao Liu,Yiping Wang,Zilong Song,Yanning Li,Weidong Meng,Fei Qi,Bingbing Xu,Jean-Philippe Croué,Donghai Yuan,Amir Ikhlaq +11 more
TL;DR: LCO was shown to be an effective catalyst to improve the performance of the sole ozonation on the removal of emerging contaminants and DBPs precursors, as well as toxic by-products reduction.
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Efficient peroxymonosulfate activation by CoFe2O4-CeO2 composite: Performance and catalytic mechanism
TL;DR: In this paper , 15%CoFe2O4-CeO2/PMS and 0.15 mM PMS were synthesized and used as catalysts for peroxymonosulfate (PMS) activation in water purification.
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Cyanobacteria derived taste and odor characteristics in various lakes in China: Songhua Lake, Chaohu Lake and Taihu Lake.
TL;DR: Results show that the occurrence of T&O in Songhua Lake was the poorest for the lowest nutrient state, as a first report in T &O research field in China.
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Degradation Rhodamine B dye wastewater by sulfate radical-based visible light-fenton mediated by LaFeO3: Reaction mechanism and empirical modeling
Weidong Meng,Yiping Wang,Yuting Zhang,Chao Liu,Zhenbei Wang,Zilong Song,Bingbing Xu,Fei Qi,Amir Ikhlaq +8 more
TL;DR: In this article, a sulfate radical (SR)-visible light-Fenton mediated by LaFeO3 (LFO) under visible light was established and its performance on Rhodamine B (RhB) dye wastewater degradation was evaluated.
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Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China
Xiaoai Dai,Brian Alan Johnson,Penglan Luo,Kai Yang,Linxin Dong,Qiang Wang,Chao Liu,Naiwen Li,Heng Lu,Lei Ma,Zhengli Yang,Yuanzhi Yao +11 more
TL;DR: Zhang et al. as discussed by the authors used remote sensing (RS) and geographic information system (GIS) to extract the land use type information from RS images of Chengdu in 2003, 2007, 2013 and 2018.