Liu Z - Search Results

1

BCDPi: An interpretable multitask deep neural network model for predicting chemical bioconcentration in fish.

Chen Z, Li N, Li L, Liu Z, Zhao W, Li Y, Huang X, Li X. Chen Z, et al. Among authors: liu z. Environ Res. 2025 Jan 1;264(Pt 2):120356. doi: 10.1016/j.envres.2024.120356. Epub 2024 Nov 15. Environ Res. 2025. PMID: 39549907

2

A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction.

Liu W, Liu T, Liu Z, Luo H, Pei H. Liu W, et al. Among authors: liu z, liu t. Environ Res. 2023 May 1;224:115560. doi: 10.1016/j.envres.2023.115560. Epub 2023 Feb 25. Environ Res. 2023. PMID: 36842699

3

Ensemble water quality forecasting based on decomposition, sub-model selection, and adaptive interval.

Liu T, Liu W, Liu Z, Zhang H, Liu W. Liu T, et al. Among authors: liu z, liu w. Environ Res. 2023 Nov 15;237(Pt 1):116938. doi: 10.1016/j.envres.2023.116938. Epub 2023 Aug 22. Environ Res. 2023. PMID: 37619626

4

Corrigendum to 'Ensemble water quality forecasting based on decomposition, sub-model selection, and adaptive interval' [Environ. Res. (237) 116938].

Tianxiang Liu, Liu W, Liu Z, Zhang H, Liu W. Tianxiang Liu, et al. Among authors: liu z, liu w. Environ Res. 2024 Jun 15;251(Pt 2):118736. doi: 10.1016/j.envres.2024.118736. Epub 2024 Mar 23. Environ Res. 2024. PMID: 38522393 No abstract available.

5

Minimizing energy footprint of seawater desalination system via wind power generation in coastal areas.

Guo P, Liu Z, Huang S, Liu S, Han M. Guo P, et al. Among authors: liu z, liu s. J Environ Manage. 2024 Oct;369:122244. doi: 10.1016/j.jenvman.2024.122244. Epub 2024 Sep 5. J Environ Manage. 2024. PMID: 39241600

6

The adsorbent preparation of lanthanum functionalized sponge based on CMC coating for effective phosphorous removal.

Li H, Tao R, Liu Z, Qu M, Zhao X, Wang M, Mei Y. Li H, et al. Among authors: liu z. Environ Sci Pollut Res Int. 2023 Nov;30(52):112686-112694. doi: 10.1007/s11356-023-30293-2. Epub 2023 Oct 14. Environ Sci Pollut Res Int. 2023. PMID: 37837593

7

The adsorbent preparation of FeOOH@PU for effective chromium (VI) removal.

Tao R, Li H, Liu Z, Zhang X, Wang M, Shen W, Qu M, Mei Y. Tao R, et al. Among authors: liu z. Environ Sci Pollut Res Int. 2023 Mar;30(12):33160-33169. doi: 10.1007/s11356-022-24569-2. Epub 2022 Dec 7. Environ Sci Pollut Res Int. 2023. PMID: 36474032

8

Nanofiltration Membranes with Salt-Responsive Ion Valves for Enhanced Separation Performance in Brackish Water Treatment: A Battle against the Limitation of Salt Concentration.

Li S, Bai L, Ding J, Liu Z, Li G, Liang H. Li S, et al. Among authors: liu z. Environ Sci Technol. 2023 Sep 26;57(38):14452-14463. doi: 10.1021/acs.est.3c03919. Epub 2023 Sep 15. Environ Sci Technol. 2023. PMID: 37712407

9

A kinetic study on the catalysis of KCl, K₂SO₄, and K₂CO₃ during oxy-biomass combustion.

Deng S, Wang X, Zhang J, Liu Z, Mikulčić H, Vujanović M, Tan H, Duić N. Deng S, et al. Among authors: liu z. J Environ Manage. 2018 Jul 15;218:50-58. doi: 10.1016/j.jenvman.2018.04.057. Epub 2018 Apr 14. J Environ Manage. 2018. PMID: 29665486

10

Multi-step interval prediction of ultra-short-term wind power based on CEEMDAN-FIG and CNN-BiLSTM.

Zhao Z, Nan H, Liu Z, Yu Y. Zhao Z, et al. Among authors: liu z. Environ Sci Pollut Res Int. 2022 Aug;29(38):58097-58109. doi: 10.1007/s11356-022-19885-6. Epub 2022 Apr 1. Environ Sci Pollut Res Int. 2022. PMID: 35362890

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