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学者姓名：赖晓鹤
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Abstract ：
Detecting water head is crucial in groundwater utilization, and requires quick and accurate solutions. This study employs a method combining the collocation Trefftz method (CTM) and the fictitious time integration method (FTIM) for groundwater head detection and restoration. The Laplace equation is solved using CTM, and the Trefftz basis function is linearly combined to fit the exact solution while adding characteristics length for numerical stability. The FTIM solves the nonlinear algebraic equations system for water head detection. Numerical examples quantify the method's accuracy, and boundary restoration results are compared with the Picard successive approximation method, showcasing FTIM's advantages in convergence steps and precision. The solution comparison under irregular boundary conditions further verifies the proposed method's efficacy (MAE <= 10-15). The CTM-FTIM calculated water level boundary aligns with the actual boundary, and its noise immunity is verified using real observation well data (MAE <= 10-2, Itertimes <= 5000). The CTM-FTIM method eliminates meshing needs for quick solutions in irregular regions, accurately determining water levels in the study domain using few known boundary points, solving infinite domain groundwater head detection.
Keyword ：
Fictitious time integration method Fictitious time integration method Groundwater head detection recovery Groundwater head detection recovery Noise immunity Noise immunity Observation well data Observation well data Trefftz method Trefftz method
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| GB/T 7714 | Su, Yan , Huang, Bin , Yang, Lingjun et al. Study on the detection of groundwater boundary based on the Trefftz method [J]. | NATURAL HAZARDS , 2024 . |
| MLA | Su, Yan et al. "Study on the detection of groundwater boundary based on the Trefftz method" . | NATURAL HAZARDS (2024) . |
| APA | Su, Yan , Huang, Bin , Yang, Lingjun , Lai, Xiaohe , Lin, Chuan , Xie, Xiudong et al. Study on the detection of groundwater boundary based on the Trefftz method . | NATURAL HAZARDS , 2024 . |
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考虑到滑坡编录制作的耗时性,建立一种"可迁移"的滑坡易发性模型已越发重要.合理利用现有完整滑坡数据地区的样本集对无样本区域进行易发性预测具有重要意义.运用迁移成分分析(transfer component analysis,TCA)方法,结合深度学习卷积神经网络(convolutional neural network,CNN),尝试引入一种基于迁移学习域自适应方法的TCA-CNN模型,并以福建省两个库岸地区为例,提取 11个库岸相关环境因子建立滑坡空间数据库,将有样本的池潭库区易发性模型迁移至无样本的棉花滩库区进行预测,实现跨区域滑坡易发性评价.通过对棉花滩库区进行易发性预测,结果显示:(1)采用TCA方法处理后的不同研究区数据最大均值差异(maximize mean discrepancy,MMD)明显降低(0.022),数据实现近似同分布;(2)TCA-CNN模型的跨区域预测精度为 0.854,高于CNN模型(0.791),且通过历史滑坡验证其落入高、极高易发性区间的滑坡频率比占比最高(89.1%);(3)受试者工作特性(receiver operating characteristic,ROC)曲线下面积TCA-CNN模型为 0.93,高于CNN模型的 0.90.可见TCA-CNN模型能够有效运用建模区的样本数据实现对无样本区域的易发性评价,且相比于传统机器模型在进行跨区域预测时具有更高、更稳定的预测准确率,具备更强的泛化能力.
Keyword ：
卷积神经网络 卷积神经网络 库岸边坡 库岸边坡 数据缺失 数据缺失 滑坡 滑坡 滑坡易发性 滑坡易发性 灾害 灾害 迁移成分分析 迁移成分分析
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| GB/T 7714 | 苏燕 , 黄绍翔 , 赖晓鹤 et al. 基于迁移成分分析的库岸跨区域滑坡易发性评价 [J]. | 地球科学 , 2024 , 49 (5) : 1636-1653 . |
| MLA | 苏燕 et al. "基于迁移成分分析的库岸跨区域滑坡易发性评价" . | 地球科学 49 . 5 (2024) : 1636-1653 . |
| APA | 苏燕 , 黄绍翔 , 赖晓鹤 , 陈耀鑫 , 杨凌鋆 , 林川 et al. 基于迁移成分分析的库岸跨区域滑坡易发性评价 . | 地球科学 , 2024 , 49 (5) , 1636-1653 . |
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Given the time-consuming nature of compiling landslide inventories, it is increasingly important to develop transferable landslide susceptibility models that can be applied to regions without existing data. In this study, we propose a feature-based domain adaptation method to improve the transferability of landslide susceptibility models, especially in "no sample" areas. Two typical landslide-prone areas in Fujian province, southeastern China, were chosen as research cases to test the practicality of the transfer effect. Five conventional machine learning algorithms (Support vector machines (SVM), Random Forest (RF), Logistic Regression (LOG), K-nearest neighbor (KNN), and Decision tree (C4.5)) are used to model landslide susceptibility in sampled areas (source domain), and a feature transfer-based landslide susceptibility evaluation model is constructed under coupled feature transfer methods to evaluate the susceptibility of landslide in un-sampled areas (target domain). The results showed that feature transfer can effectively improve the transferability of different machine learning models for cross-regional prediction (The indicators have improved overall by 8.49%), with SVM (increased by 13.68%) and LOG (increased by 10.19%) models showing the most significant improvements. The feature-based domain adaptive method can alleviate the burden of collecting and labeling new data, and effectively improve the assessment performance of machine learning-based landslide susceptibility models in un-sampled areas. This is a new solution for landslide susceptibility assessment in completely "no sample" areas. (c) 2024 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
Keyword ：
Data scarcity Data scarcity Feature domain adaptation Feature domain adaptation Landslide susceptibility Landslide susceptibility Machine learning Machine learning Reservoir bank slope Reservoir bank slope
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| GB/T 7714 | Su, Yan , Chen, Yaoxin , Lai, Xiaohe et al. Feature adaptation for landslide susceptibility assessment in "no sample" areas [J]. | GONDWANA RESEARCH , 2024 , 131 : 1-17 . |
| MLA | Su, Yan et al. "Feature adaptation for landslide susceptibility assessment in "no sample" areas" . | GONDWANA RESEARCH 131 (2024) : 1-17 . |
| APA | Su, Yan , Chen, Yaoxin , Lai, Xiaohe , Huang, Shaoxiang , Lin, Chuan , Xie, Xiudong . Feature adaptation for landslide susceptibility assessment in "no sample" areas . | GONDWANA RESEARCH , 2024 , 131 , 1-17 . |
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Understanding the evolution and driving factors of sedimentation and erosion at the mouths of small and medium-sized mountain streams during various periods is essential for regional spatial utilization, development, and sustainable economic growth. This is particularly important when considering the combined impact of climate change and human activities. This paper presents an analysis of the changes in sedimentation and erosion of mouth isobaths and underwater deltas over different periods using nautical chart data (1950-2019) and analyzes the factors driving changes in sedimentation and erosion during different periods from 1950 to 2020 based on the runoff-sediment discharge of the Minjiang River (MR) and extreme climate factors such as typhoons, especially the driving factors that caused a sudden change in the sedimentation and erosion process between 1998 and 2005. The results indicate that runoff-sediment characteristics are crucial in driving sedimentation and erosion changes. In the past 70 years, the underwater delta of the MRE has mainly experienced four stages: deposition (1950-1992) -erosion (1993-1998) -deposition (1998-2011) -erosion (2011-2019). Taking the impoundment operation of the Shuikou Reservoir in 1993 as the node, the sediment load of the Minjiang River into the sea began to decrease sharply, and then the estuary quickly showed a state of erosion. The change of sediment flux into the sea is the main driving factor for the evolution of erosion and deposition in the Minjiang River Estuary (MRE). The critical value of the erosion-deposition transition is about 570.3 x 104 t/yr. After the estuary entered a state of erosion in 1993-1998, significant siltation suddenly occurred in 1998-2005. The reason for the siltation in this period may be related to the frequent transit typhoons and flood events in 1998-2005. Therefore, the change of river sediment supply into the sea is the main driving factor controlling the erosion and deposition evolution of the Minjiang River estuary on a long time scale of more than 10 years, which reflects the influence of large-scale human activities on the river and estuary area in the past half century. Extreme climate events are the incentive to adjust the estuary landform in the short term. Extreme climate events will not fundamentally change the process of estuarine geomorphological evolution under the background of sediment supply reduction.
Keyword ：
driving factors driving factors extreme climate extreme climate human activities human activities Minjiang River estuary Minjiang River estuary sediment sediment
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| GB/T 7714 | Lai, Xiaohe , Jia, Jianping , Hou, Yuebao et al. Analysis of the driving factors of the change of erosion-deposition in the Minjiang Estuary, Southeast China [J]. | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
| MLA | Lai, Xiaohe et al. "Analysis of the driving factors of the change of erosion-deposition in the Minjiang Estuary, Southeast China" . | FRONTIERS IN MARINE SCIENCE 10 (2023) . |
| APA | Lai, Xiaohe , Jia, Jianping , Hou, Yuebao , Jiang, Beihan , Lin, Chuan , Lin, Xinlu et al. Analysis of the driving factors of the change of erosion-deposition in the Minjiang Estuary, Southeast China . | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
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Tsunami wave characteristics are greatly influenced by the initial water level when they attack structures. In this study, experimental and numerical investigations were conducted to investigated the relationship between tsunami wave characteristics and initial water levels. Results showed that, the wave height, wave velocity, and Froude number increase with the increase of tsunami wave intensity; the time history of water levels were influenced by the different initial water level conditions; the analytical solution proposed by Chanson (2005) may be extended to wet-bed conditions (for initial water level < 0.36 tsunami bore height in our experimental set-up). Due to the limitations of experimental ranges in the laboratory, the validated numerical model can provide more results for wider experimental ranges for tsunami bore investigations. It was observed from numerical results that, tsunami bore height increases with the increase of reservoir water level; tsunami bore velocity decreases with the increased initial water level on the bed; as the initial water level on the bed gradually increases, the mean tsunami bore Froude number shows a downward trend.
Keyword ：
dam break wave dam break wave initial water level initial water level tsunami tsunami
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| GB/T 7714 | Lai, Xiaohe , Deng, Xin , Chen, Cheng et al. Study on the relationship between tsunami waves in dam break state and initial water levels [J]. | BRODOGRADNJA , 2023 , 74 (4) : 89-103 . |
| MLA | Lai, Xiaohe et al. "Study on the relationship between tsunami waves in dam break state and initial water levels" . | BRODOGRADNJA 74 . 4 (2023) : 89-103 . |
| APA | Lai, Xiaohe , Deng, Xin , Chen, Cheng , Peng, Chen , Li, Zixuan , Chen, Haoyan . Study on the relationship between tsunami waves in dam break state and initial water levels . | BRODOGRADNJA , 2023 , 74 (4) , 89-103 . |
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The present study investigates the impact of the Three Gorges Dam (TGD) construction on riverbed morphology in the middle Yangtze River (YR). We analyse data collected on sand wave morphology, shallow surface topography, and section morphology after the completion of the dam. Specifically, we examine the spatial distribution characteristics of sand wave morphology and the riverbed evolution process in the Yicheng reach. Results reveal significant changes in the morphology of sand waves in the middle reach of the YR, with wavelengths ranging from 5.2124.15 to 5.0915.33 m in the upper and lower Jingjiang River, respectively. Additionally, sediment incipient velocity was found to be smaller than that of the sand wave, making it difficult for the sand wave to start as the bedload continued to coarsen. After impoundment, the riverbed is strongly scoured, the undercutting is serious, and the bed morphology changes dramatically.
Keyword ：
midstream of the Yangtze River midstream of the Yangtze River riverbed evolution riverbed evolution sand waves sand waves Three Gorges Dam Three Gorges Dam
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| GB/T 7714 | Lai, Xiaohe , Jia, Jianping , Hou, Yuebao et al. Changes in riverbed morphology in the middle Yangtze River (Yichang-Chenglingji) after the construction of the Three Gorges Dam [J]. | HYDROLOGICAL SCIENCES JOURNAL , 2023 , 68 (16) : 2373-2387 . |
| MLA | Lai, Xiaohe et al. "Changes in riverbed morphology in the middle Yangtze River (Yichang-Chenglingji) after the construction of the Three Gorges Dam" . | HYDROLOGICAL SCIENCES JOURNAL 68 . 16 (2023) : 2373-2387 . |
| APA | Lai, Xiaohe , Jia, Jianping , Hou, Yuebao , Jiang, Jun , Li, Maotian , Chen, Jing et al. Changes in riverbed morphology in the middle Yangtze River (Yichang-Chenglingji) after the construction of the Three Gorges Dam . | HYDROLOGICAL SCIENCES JOURNAL , 2023 , 68 (16) , 2373-2387 . |
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Extreme weather events and anthropogenic activity have severely impacted the Minjiang estuary (MJE) with evolution patterns in recent decades. Determining the estuarine alluvial evolution pattern is crucial for the sustainable development of densely populated coastal areas. Using chart data, this paper analyzed how the MJE's flushing and siltation changed over time (1950-2019). The findings indicate that, in the past 70 years, the MJE has evolved through seven stages of flushing and siltation under the condition of decreasing incoming sediment: "significant siltation -siltation -minor siltation -significant erosion -significant siltation -minor siltation -significant erosion". Despite decreased incoming material, the estuary underwent substantial siltation from 1998 to 2005. Extreme meteorological conditions were the cause of this anomaly. The "severe flushing" phenomenon occurred in the study area from 2011 to 2019, and the comparison of pre-dam and post-dam at the estuary revealed that extreme weather can only adjust in stages and cannot change the overall state of the estuary flushing due to the reduction of incoming sediment in the basin. According to the EOF (Empirical Orthogonal/ Eigen Function) study of four sections of the estuary, it is most impacted by incoming sediment from the watershed, followed by severe weather conditions. Our research is crucial for comprehending how human behavior and harsh weather might affect the development of MJE, and it offers sound advice for the long-term management of MJE.
Keyword ：
China China Climate change Climate change Geomorphological response Geomorphological response Human activities Human activities Minjiang estuary Minjiang estuary
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| GB/T 7714 | Lai, Xiaohe , Hou, Yuebao , Jia, Jianping et al. Rapid change of erosion-deposition evolution in the Minjiang estuary, Southeast China [J]. | OCEAN & COASTAL MANAGEMENT , 2023 , 238 . |
| MLA | Lai, Xiaohe et al. "Rapid change of erosion-deposition evolution in the Minjiang estuary, Southeast China" . | OCEAN & COASTAL MANAGEMENT 238 (2023) . |
| APA | Lai, Xiaohe , Hou, Yuebao , Jia, Jianping , Chen, Cheng , Su, Yan , Jiang, Jun et al. Rapid change of erosion-deposition evolution in the Minjiang estuary, Southeast China . | OCEAN & COASTAL MANAGEMENT , 2023 , 238 . |
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The change of coastal wetland vulnerability affects the ecological environment and the economic development of the estuary area. In the past, most of the assessment studies on the vulnerability of coastal ecosystems stayed in static qualitative research, lacking predictability, and the qualitative and quantitative relationship was not objective enough. In this study, the "Source-Pathway-Receptor-Consequence" model and the Intergovernmental Panel on Climate Change vulnerability definition were used to analyze the main impact of sea level rise caused by climate change on coastal wetland ecosystem in Minjiang River Estuary. The results show that: (1) With the increase of time and carbon emission, the area of high vulnerability and the higher vulnerability increased continuously, and the area of low vulnerability and the lower vulnerability decreased. (2) The eastern and northeastern part of the Culu Island in the Minjiang River Estuary of Fujian Province and the eastern coastal wetland of Meihua Town in Changle District are areas with high vulnerability risk. The area of high vulnerability area of coastal wetland under high emission scenario is wider than that under low emission scenario. (3) Under different sea level rise scenarios, elevation has the greatest impact on the vulnerability of coastal wetlands, and slope has less impact. The impact of sea level rise caused by climate change on the coastal wetland ecosystem in the Minjiang River Estuary is mainly manifested in the sea level rise, which changes the habitat elevation and daily flooding time of coastal wetlands, and then affects the survival and distribution of coastal wetland ecosystems.
Keyword ：
cloud model cloud model coastal wetland coastal wetland Minjiang River Estuary Minjiang River Estuary vulnerability assessment vulnerability assessment
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| GB/T 7714 | Lai, Xiaohe , Zeng, Chuqing , Su, Yan et al. Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise [J]. | ACTA OCEANOLOGICA SINICA , 2023 , 42 (7) : 160-174 . |
| MLA | Lai, Xiaohe et al. "Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise" . | ACTA OCEANOLOGICA SINICA 42 . 7 (2023) : 160-174 . |
| APA | Lai, Xiaohe , Zeng, Chuqing , Su, Yan , Huang, Shaoxiang , Jia, Jianping , Chen, Cheng et al. Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise . | ACTA OCEANOLOGICA SINICA , 2023 , 42 (7) , 160-174 . |
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The deformation behavior of a dam can comprehensively reflect its structural state. By comparing the actual response with model predictions, dam deformation prediction models can detect anomalies for effective advance warning. Most existing dam deformation prediction models are implemented within a single-step prediction framework; the single-time-step output of these models cannot represent the variation trend in the dam deformation, which may contain important information on dam evolution during the prediction period. Compared with the single value prediction, predicting the tendency of dam deformation in the short term can better interpret the dam's structural health status. Aiming to capture the short-term variation trends of dam deformation, a multi-step displacement prediction model of concrete dams is proposed by combining the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm, the k-harmonic means (KHM) algorithm, and the error minimized extreme learning machine (EM-ELM) algorithm. The model can be divided into three stages: (1) The CEEMDAN algorithm is adopted to decompose dam displacement series into different signals according to their timing characteristics. Moreover, the sample entropy (SE) method is used to remove the noise contained in the decomposed signals. (2) The KHM clustering algorithm is employed to cluster the denoised data with similar characteristics. Furthermore, the sparrow search algorithm (SSA) is utilized to optimize the KHM algorithm to avoid the local optimal problem. (3) A multi-step prediction model to capture the short-term variation of dam displacement is established based on the clustered data. Engineering examples show that the model has good prediction performance and strong robustness, demonstrating the feasibility of applying the proposed model to the multi-step forecasting of dam displacement.
Keyword ：
complete ensemble empirical mode decomposition with adaptive noise complete ensemble empirical mode decomposition with adaptive noise concrete dams concrete dams dam deformation dam deformation K-harmonic means K-harmonic means multi-step prediction multi-step prediction sparrow search algorithm sparrow search algorithm
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| GB/T 7714 | Lin, Chuan , Zou, Yun , Lai, Xiaohe et al. Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods [J]. | APPLIED SCIENCES-BASEL , 2023 , 13 (19) . |
| MLA | Lin, Chuan et al. "Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods" . | APPLIED SCIENCES-BASEL 13 . 19 (2023) . |
| APA | Lin, Chuan , Zou, Yun , Lai, Xiaohe , Wang, Xiangyu , Su, Yan . Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods . | APPLIED SCIENCES-BASEL , 2023 , 13 (19) . |
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The pipe-soil interaction behaviors are crucial factors for the J-lay pipeline design, which are mainly investigated on the horizontal seabed in previous studies. This paper develops an innovative method for the static and dynamic analyses of pipe-soil interactions considering the J-lay pipeline on a sloping seabed. This approach simulates the motion processes of the pipeline particles and solves the internal forces of the pipeline elements by the vector mechanics and finite element principle. The position coordinates formulations of pipeline particles are derived to calculate the pipeline locations on the sloping seabed. The non-linear hysteretic soil model and the modified Coulomb friction model are employed to simulate pipe-soil interactions in the vertical seabed plane as well as the axial and lateral directions. Moreover, a large-scale pipe-laying experimental test system is established to carry out the model experiments of a J-lay pipeline on different seabed conditions. The static and dynamic pipe-soil interaction responses are then analyzed by the VFIFE method for a 6-inch gas pipeline J-laying on the negative sloping seabed. The influence of seabed slope type and angle and soil characteristics is further explored on the pipe-soil interaction behaviors, which provide significant evidence for the design of pipe-lay on the sloping seabed.
Keyword ：
Deepwater J-lay Deepwater J-lay Offshore pipeline Offshore pipeline Pipe-soil interaction Pipe-soil interaction Seabed slope Seabed slope Vector form intrinsic finite element (VFIFE) Vector form intrinsic finite element (VFIFE)
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| GB/T 7714 | Xu, Pu , Zheng, Jixiang , Lai, Xiaohe et al. Pipe-soil interaction behaviors of deepwater J-lay pipeline on sloping seabed [J]. | APPLIED OCEAN RESEARCH , 2023 , 141 . |
| MLA | Xu, Pu et al. "Pipe-soil interaction behaviors of deepwater J-lay pipeline on sloping seabed" . | APPLIED OCEAN RESEARCH 141 (2023) . |
| APA | Xu, Pu , Zheng, Jixiang , Lai, Xiaohe , Du, Zhixin . Pipe-soil interaction behaviors of deepwater J-lay pipeline on sloping seabed . | APPLIED OCEAN RESEARCH , 2023 , 141 . |
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