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Elsevier12
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✓Environmental Modelling & Software12
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Li-li Zhu results 12 · Newest (Page 1/1, per page 25)
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Journal: Environmental Modelling & Software ×Author: Li-li Zhu ×Clear All Filters
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Quadratic decomposition and WOA-optimized CNN-ResNet-BiGRU-Attention: A novel hybrid framework for hydrological runoff forecastingNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 204 · Elsevier
Chunyan Huang; Zichao Zhu; Mingyang Wang; Yanling Li
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Flash flood visual simulation as an online chained service: a data-model-knowledge integrated frameworkNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 204 · Elsevier
Qiao Tang; Jun Zhu; Zhihao Guo; Jiahao Li; Qingqing Ran; Jinbin Zhang
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Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual compensationNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 196 · Elsevier
Bao Liu; Jiaxin Li; Xianfu Jiang; Matthew Gibbs; Zirun Zhu; Xueqing Wang; Klaus Joehnk; Lei Gao
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Coupling dynamic data and mechanistic models for fine-scale flood simulation in a 3D virtual geographic environmentNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 196 · Elsevier
Jinbin Zhang; Hengchao Gu; Jun Zhu; Peiqi Que; Fanxu Huang; Yanhe Sun; Yuena Zhu; Weilian Li
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Multi-level enhanced visualization of virtual geographic scenes for improving risk perception: A case study of flood disaster scenesNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 196 · Elsevier
Jun Zhu; Jianlin Wu; Yukun Guo; Jinbin Zhang; Zhihao Guo; Pei Dang; Weilian Li
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STGCN-WQ: A new Spatio-Temporal Graph Convolutional Network for predicting beach Water QualityNARA Subscribed
Environmental Modelling & Software · 2026 · Vol. 195 · Elsevier
Peisen Li; Zhenduo Zhu
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Multi-step ahead probabilistic runoff forecasting with SHAP interpretability: a GPR-enhanced deep learning ensemble approach integrating teleconnection factorsNARA Subscribed
Environmental Modelling & Software · 2025 · Vol. 193 · Elsevier
Feilin Zhu; Tiantian Hou; Ou Zhu; Yitong Sun; Weifeng Liu; Lingqi Zhao; Xuning Guo; Min Li; Ping-an Zhong
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Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditionsNARA Subscribed
Environmental Modelling & Software · 2024 · Vol. 179 · Elsevier
Hu Jiang; Qiang Zou; Yunqiang Zhu; Yong Li; Bin Zhou; Wentao Zhou; Shunyu Yao; Xiaoliang Dai; Hongkun Yao; Siyu Chen
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A 3D-Panoramic fusion flood enhanced visualization method for VRNARA Subscribed
Environmental Modelling & Software · 2023 · Vol. 169 · Elsevier
Pei Dang; Jun Zhu; Yuxuan Zhou; Yuting Rao; Jigang You; Jianlin Wu; Mengting Zhang; Weilian Li
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Evolution stage identification of haze pollution episodes in beijing using constrained dynamic time warping and multiway principal component analysisNARA Subscribed
Environmental Modelling & Software · 2023 · Vol. 168 · Elsevier
Hao Zhang; Yilun Lin; Jinye Ran; Junyi Yu; Morui Zhu; Hengqi Li; Yongli Jiao
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Documentation strategy for facilitating the reproducibility of geo-simulation experimentsNARA Subscribed
Environmental Modelling & Software · 2023 · Vol. 163 · Elsevier
Zhiyi Zhu; Min Chen; Zhen Qian; Hengyue Li; Kai Wu; Zaiyang Ma; Yongning Wen; Songshan Yue; Guonian Lü
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New distributed model for predicting erosion-type pollution by integrating sediment connectivity and watershed modelNARA Subscribed
Environmental Modelling & Software · 2023 · Vol. 162 · Elsevier
Kaihang Zhu; Lei Chen; Leifang Li; Yiwen Wang; Xiaoman Yan; Jieying Chen; Chenghong Feng; Zhenyao Shen
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