Online First
Impacts of Climate Anomalies on Urban Groundwater Drought across Multiple Scales： a Case Study of Datong
Analysis of Settlement Characteristics of Loess Subgrade and Foundation in Full-Fill Section of Xiji-Haiyuan-Guyuan Area
Spatiotemporal Dynamics and Driving Mechanisms of Net Primary Productivity in Production-living-ecological Functional Spaces of the Yellow River Basin
Dynamic stability analysis of dam slope subjected to stochastic main and aftershock sequence
Spatiotemporal Patterns and Differential Analysis of Soil Erosion Based on Different Vegetation Cover Factors——A Case Study of Sanmenxia City
more..new
Inundation Monitoring and Disaster Analysis of 2024 Tuanzhouyuan Dike Breach Based on SAR Imagery
ZHANG Zhenchuan;LIU Junguo;YAN Xinqing;LIU Minghuan;LUO Zhongkun;JIANG Liguang;【Objective】To address the insufficient accuracy of SAR extraction caused by similar backscattering characteristics between semi-submerged cropland and water bodies in agricultural polder areas, this study integrates prior land-use knowledge to achieve accurate inundation monitoring and disaster analysis of the 2024 Tuanzhouyuan dike-breach flood. 【Methods】Taking the 2024 Tuanzhouyuan dike breach event as an example, a partition-adaptive water extraction model for SAR imagery integrating prior land-use knowledge(SDWI-LU) was constructed based on multi-temporal Sentinel-1 and GF-3 SAR images and pre-disaster land-use data. Water bodies were extracted using a differentiated threshold optimization strategy, and the model effectiveness was verified by comparing water extraction accuracy among multiple methods. Time-series imagery and hydrological data were then combined to systematically analyze spatiotemporal evolution patterns of the flood and disaster impacts. 【Results】(1) The SDWI-LU partition-adaptive threshold method effectively suppressed misclassification of semi-submerged cropland, with a mean F1 score of 0.982, and its extraction accuracy was significantly better than the traditional single-threshold methods.(2) The dike-breach flood evolution showed three stages: gradual expansion, explosive diffusion, and delayed recession. The recession rate of inundation area during the drainage stage(1.87 km2/d) was far lower than the daily increase during the explosive diffusion stage after the breach(40.15 km2/d) and was also markedly slower than the gradual expansion rate during the continuous water-level rise stage before the breach.(3) Cropland and construction land were the main affected land-use types. Approximately 83% of cropland was continuously inundated for more than 10 days, resulting in severe agricultural losses. 【Conclusions】The partition-adaptive strategy integrating prior land-use knowledge effectively overcomes the accuracy bottleneck of SAR water extraction under complex surface cover and objectively reveals the spatiotemporal evolution of sudden dike-breach floods. Future research can further explore automated operation of this method and combine it with lightweight deep learning models to improve the intelligence level and decision-making efficiency of emergency flood monitoring in agricultural polder areas.
Prediction Model for Levee Piping Disasters Based on Data-Driven and Interpretability Analysis
ZHANG Xi;ZHANG Chao;XIA Yangyang;WANG Cuixia;FANG Hongyuan;【Objective】 This study aims to explore a levee piping disaster prediction method that considers both high prediction accuracy and interpretability, address the low accuracy and efficiency of traditional identification approaches and the black-box problem caused by the lack of interpretability in conventional machine learning models, and provide theoretical references for risk early warning of levee piping and disaster prevention and control. 【Methods】 Using a field-measured dataset on piping from the Yangxin levee section of the Yangtze River and data-driven machine learning algorithms, a multi-level interpretable prediction model for levee piping was constructed. The prediction performance of three single learning models(back-propagation neural network, multi-layer perceptron, and support vector machine) and four ensemble learning models(random forest, gradient boosting decision tree, extreme gradient boosting, and CatBoost) was compared to select the optimal prediction model. Extreme gradient boosting(XGBoost) and SHapley Additive exPlanations(SHAP) were combined for multi-level interpretability analysis to identify the key factors influencing piping and reveal the mechanisms by which each factor affects piping disasters. 【Results】(1) Ensemble learning models had higher prediction accuracy than single learning models. Among them, the XGBoost model had the highest prediction accuracy and good robustness, with a test-set coefficient of determination(R2) of 0.961 7 and a root mean square error(RMSE) of 0.097 0.(2) The thickness of aquitard overburden(H), void ratio(e), and water level difference(Δh) were the key influencing factors of piping disasters.(3) According to individual conditional expectation curves, the critical values of the three main factors triggering piping were 7.5 m, 0.84, and 4.2 m, respectively. 【Conclusions】 The constructed data-driven model can predict levee piping with high accuracy, and multi-level interpretability analysis clarifies the key causative factors and their critical thresholds for triggering piping. The results provide theoretical reference and a scientific basis for early warning and risk assessment of levee piping disasters.
Construction and Mechanical Performance of a New Spatial Grid Submerged Gate Structure
ZHANG Qingmin;DU Wenfeng;ZHANG Xifei;【Objective】 Dams and gates are important components of hydraulic engineering hubs, but existing hydraulic structures often face problems such as cracking, long construction periods, and obstruction of finless porpoise migration. To address these problems, this study proposes a new liftable submerged gate structure composed of spatial steel grids and reinforced concrete, integrating the functions of traditional water-retaining dams and sluice gates while also serving as an ecological fish passage. 【Methods】 A three-dimensional model of the submerged gate was established using 3D3S steel structure design software. Fluent was used to optimize the overflow curve parameters to improve flow capacity and pressure distribution on the overflow surface, and finite element analysis was performed in ANSYS to evaluate mechanical performance. 【Results】(1)Under normal service conditions, the maximum displacement of the submerged gate structure was 28.7 mm and the maximum stress was 267 MPa. The wet-mode natural frequency was 3.65 Hz, indicating good seismic performance.(2)During lifting, structural displacement and stress increased but remained within the allowable range specified by relevant standards. 【Conclusions】 Compared with traditional water-retaining dams and gates, the proposed spatial grid submerged gate structure has good mechanical performance, a shorter construction period, and lower overall cost, and it can also serve as an ecological fish passage, helping to reduce the impact of hydraulic engineering on river ecosystems. These advantages indicate high engineering application value and environmental friendliness.
Model Verification and Reinforcement Optimization of Hollow Concrete Dams
CHEN Zhuanzhuan;YANG Gui;LIU Luyang;WU Liangjie;SUN Yin;【Objective】 This study aims to reveal the dynamic response laws of hollow concrete dams under weak dam foundations and the influence mechanisms of key control parameters, providing a reference for seismic design of similar dams.【Methods】Based on shaking table test results, a numerical model reflecting pore pressure growth characteristics was established using PLAXIS finite element software, and the model accuracy and reliability were verified. The dam was proportionally scaled up to a height of 12 m, and the seismic dynamic responses of the dam under relatively weak and hard dam foundation conditions were compared and analyzed. Taking the foundation condition corresponding to the peak horizontal displacement of the dam as the benchmark, the effects of rockfill size behind the dam, transverse pile spacing, and foundation reinforcement depth were quantitatively studied. 【Results】(1) Compared with rigid dam foundation conditions, under weak dam foundations, the hollow concrete dam showed overall sliding deformation, with the most significant horizontal displacement response. The maximum dynamic displacement of the dam was 31.1 cm, and the residual horizontal displacement was 14.8 cm.(2) Under weak dam foundations, among various reinforcement measures, rockfill behind the dam had the most obvious restraint effect on dam horizontal displacement, followed by foundation reinforcement, while reducing transverse pile spacing had the weakest effect.(3) Considering the stress responses of the cut-off wall and piles, foundation reinforcement was the optimal scheme, and the reinforcement depth needed to penetrate the soil layer interface. 【Conclusions】 This study clarifies the action mechanisms of different foundation conditions and key parameters on the dynamic response of hollow concrete dams, and the conclusions can provide a reference for seismic design and foundation reinforcement of hollow concrete dams on soft foundations.
Study on Impact of Spatially Non-Uniform Rainfall and Pipeline Siltation on Urban Waterlogging
ZHANG Jinping;WANG Ruyu;ZHANG Lixin;LI Xuechun;LI Zhiwei;【Objective】This study aims to reveal the mechanism by which the coupling effect of spatially non-uniform rainfall and pipeline siltation influences urban waterlogging, thereby providing a scientific basis for optimized design of urban drainage systems and precise prevention and control of waterlogging risk. 【Methods】 Taking a sub-catchment in the central urban area of Zhengzhou as the research object, a spatially non-uniform rainfall model reflecting actual rainfall characteristics was constructed. InfoWorks ICM was used to simulate urban waterlogging responses under different rainstorm center locations, non-uniformity coefficients, and levels of pipeline siltation. 【Results】(1) The degree of waterlogging differed among rainstorm centers, with the severity ranked as D(Hongzhuan Road-Weisheng Road)>A(Jinshui Road-Weilai Road)>B(Wenhua Road-Dongfeng Road)>C(Wenhua North Road-Lianhuo Expressway). This difference was mainly influenced by the drainage capacity of the pipe network, underlying surface types, and topographic conditions around each rainstorm center.(2) As the rainfall non-uniformity coefficient increased, rainfall intensity became more concentrated at the rainstorm center, significantly increasing inundation depth and area, and the spatial distribution of waterlogging showed a tendency to cluster toward the center.(3) Under unfavorable rainfall scenarios, pipeline siltation had an obvious threshold effect on waterlogging risk. When the siltation coefficient exceeded 0.3, the proportion of severely silted pipes(Class III) increased sharply, and inundation area increased substantially. 【Conclusions】 The spatial heterogeneity of rainfall significantly increases the risk of localized flooding. Once sediment accumulation in pipelines reaches a certain level, it can trigger cascading failures in the drainage system. The coupled effects of these two factors further exacerbate urban flooding. It is recommended that, in the planning and upgrading of urban drainage systems, priority be given to improving the capacity of pipe networks and conducting regular sediment removal and maintenance in areas prone to storm centers, thereby enhancing the overall resilience of the system.
Tracking the information about your manuscript
Communicate with the editorial office
Query manuscript payment status Reviewer LoginCollecting, editing, reviewing and other affairs offices
Managing manuscripts
Managing author information and external review Expert Information Author LoginOnline Review
Online Communication with the Editorial Department
Journal News
This Journal is Continuously Indexed by the "RCCSE Chinese Core Academic Journal (A)"
2025-07-03The Editorial Department Co-organized the "17th Forum on Water Science Development".
2025-07-03The Editorial Board Meeting for the Year 2024 was held in Tianjin
2025-07-03Call for Papers "Ecological Hydrology and Soil and Water Conservation in the Yellow River Basin"
2025-07-03Notice on the Convening of the Editorial Board Meeting (April 19th)
more..