卢文喜论文发表

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基本信息

卢文喜Lu Wenxi

(教授)

学位：博士
性别：男
学历：博士研究生毕业
在职信息：在职
所在单位：新能源与环境学院

论文发表

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Chang Zhenbo; Lu Wenxi*; Wang Zibo. Study on source identification and source-sink relationship of LNAPLs pollution in groundwater by the adaptive cyclic improved iterative process and Monte Carlo stochastic simulation [J]. Journal of Hydrology, 2022, 612: 128109. (SCI收录)
Wang Zibo; Lu Wenxi*; Chang Zhenbo; Wang Han. Simultaneous identification of groundwater contaminant source and simulation model parameters based on an ensemble Kalman filter - Adaptive step length ant colony optimization algorithm [J]. Journal of Hydrology, 2022, 605: 127352. (SCI收录)
Wang Zibo; Lu Wenxi*; Chang Zhenbo*; Bai Yukun; Xu Yaning. Simultaneous identification of groundwater contamination source information, model parameters, and boundary conditions under an unknown boundary mode [J]. Stochastic Environmental Research and Risk Assessment,2024, 38(10):4085-4106. (SCI收录)
Zhu Liuzhi; Lu Wenxi*; Luo Chengming; Xu Yaning; Wang Zibo. An ensemble optimizer with a stacking ensemble surrogate model for identification of groundwater contamination source [J]. Journal of Contaminant Hydrology,2024, 267:104437. (SCI收录)
Pan Zidong; Lu Wenxi*; Bai Yukun. Groundwater contamination source estimation based on a refined particle filter associated with a deep residual neural network surrogate [J]. Hydrogeology Journal, 2022, 30(3): 881-897. (SCI收录)
Luo Chengming; Lu Wenxi*; Pan Zidong; Bai Yukun; Dong Guangqi; Simultaneous identification of groundwater pollution source and important hydrogeological parameters considering the noise uncertainty of observational data [J]. Environmental Science and Pollution Research, 2023, 30 (35): 84267-84282. (SCI收录)
Li Yidan; Lu Wenxi*; Pan Zidong; Wang Zibo; Dong Guangqi; Simultaneous identification of groundwater contaminant source and hydraulic parameters based on multilayer perceptron and flying foxes optimization [J]. Environmental Science and Pollution Research, 2023, 30 (32): 78933-78947. (SCI收录)
Ge Yuanbo; Lu Wenxi*; Pan Zidong. Groundwater contamination source identification based on Sobol sequences-based sparrow search algorithm with a BiLSTM surrogate model [J]. Environmental Science and Pollution Research, 2023, 30(18): 53191-53203. (SCI收录)
Wang Zibo; Lu Wenxi*. Groundwater contamination source recognition based on a two-stage inversion framework with a deep learning surrogate [J]. Water,2024, 16(13):1907. (SCI收录)
Bai Yukun; Lu Wenxi*; Wang Zibo; Xu Yaning. Groundwater lnapl contamination source identification based on stacking ensemble surrogate model [J]. Water,2024, 16(16):2274. (SCI收录)
Pan Zidong; Lu Wenxi*; Wang Han; Bai Yukun. Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network-hybrid sparrow search algorithm [J]. Environmental Science and Pollution Research, 2022, 29(22): 33528-33543. (SCI收录)
Bai Yukun; Lu Wenxi*; Li Jiuhui; Chang Zhenbo; Wang Han. Groundwater contamination source identification using improved differential evolution Markov chain algorithm [J]. Environmental Science and Pollution Research, 2022, 29(13): 19679-19692. (SCI收录)
Wang Han; Lu Wenxi*. Groundwater contamination source-sink analysis based on random statistical method for a practical case [J]. Stochastic Environmental Research and Risk Assessment, 2022, 36(12): 4157-4174. (SCI收录)
Han Zheng; Lu Wenxi*; Fan Yue; Miao Tiansheng; Lin Jin; Li Jiuhui. Optimal location of cutoff walls for seawater intrusion [J]. Applied Water Science, 2021, 11(11): 179. (SCI 收录)
Chang Zhenbo; Lu Wenxi*; Wang Zibo. A differential evolutionary Markov chain algorithm with ensemble smoother initial point selection for the identification of groundwater contaminant sources [J]. Journal of Hydrology, 2021, 603: 126918. (SCI 收录)
Li Jiuhui; Lu Wenxi*; Luo Jiannan. Groundwater contamination sources identification based on the Long-Short Term Memory network [J]. Journal of Hydrology, 2021, 601: 126670. (SCI收录)

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