Yellow River Institute of Hydraulic Research

Compound activation of iron ore tailings using industrial solid Wastes: Pozzolanic Activity, Microstructure, and mechanism

This study aimed to develop a lower-burden activation strategy for iron ore tailings (IOTs) by replacing conventional chemical activators with industrial solid wastes (ISWs) and systematically comparing mechanical activation (MA), chemical–mechanical compound activation (CMA), an...

A Mass-Conserving Spatiotemporal Graph ODE Model for Multi-Step Streamflow Forecasting in a Sparsely Gauged Semi-Arid Basin

Semi-arid loess basins in the middle Yellow River have rapid runoff responses, short hydrological memory, and sparse gauging networks, so pooled metrics across all stations can conceal forecast failures in low-flow tributaries and during dry periods. This study proposes DaSTGODE,...

Experimental study on hydrodynamic characteristics of a composite box-type floating breakwater with porous side wings

Floating breakwaters are an important engineering measure for mitigating marine environmental risks and enhancing the safety of offshore structures. Focusing on the effects of porous damping materials on the hydrodynamic performance of floating breakwaters, this study designs and...

Spatiotemporal patterns of ecological condition under water-salt stress in the yellow river delta: an improved remote sensing ecological index approach

Abstract Accurately assessing ecological condition is crucial for ecosystem conservation. The Remote Sensing Ecological Index (RSEI), which incorporates soil moisture (WET), was widely used to assess regional ecological condition. However, in coastal wetlands, the performance of...

Flume experiments on wave attenuation through combined flexible and rigid vegetation

Vegetation-based wave attenuation provides a sustainable alternative to conventional coastal protection structures; however, the attenuation characteristics of combined flexible and rigid vegetation systems remain insufficiently understood. This study experimentally investigates...

A Data-Driven Framework for Characterizing Nonlinear Responses of River Ice Growth and Decay in the Shisifenzi Reach of the Upper Yellow River

The Shisifenzi Reach, with its sharp curvature, serves as a prime observational target for river ice research in the Upper Yellow River. Using six winter seasons (2020–2026) of monitoring data, this study developed a Random Forest with SHAP and Accumulated Local Effects (ALE) to...

Progress in low‐temperature partial nitritation/anammox coupled with enhanced biological phosphorus removal: Development, mechanisms, and optimization strategies

Abstract With increasing concerns over eutrophication control and carbon‐neutral wastewater treatment, simultaneous nitrogen and phosphorus removal under low‐temperature conditions remains a critical challenge. Conventional biological nutrient removal processes suffer from high e...

TFCRNet: Dual-Discriminator SAR-to-Optical Translation and Region-Gated Cross-Attention Fusion for Thick-Cloud Removal

Thick-cloud contamination severely limits the usability of optical remote sensing imagery because cloud-covered regions may suffer from complete loss of surface information. Synthetic aperture radar (SAR) imagery provides complementary structural cues due to its cloud-penetrating...

Elastoplastic analysis of tunnels in Hoek–Brown rock masses exhibiting strain softening

This paper proposes an adaptive ring-by-ring semi-analytical framework for elastoplastic analysis of circular tunnels in strain-softening Hoek–Brown rock under hydrostatic in-situ stress. The excavation unloading process is discretized via equal radial stress increments, with the...

Point-Cloud-Based 3D Inspection and Volume Quantification of Drainage-Pipeline Defects Using WCPC-GAN and Density-Adaptive Alpha Shapes

Closed-circuit television (CCTV)-based inspection provides limited depth information and cannot directly quantify the three-dimensional geometry of drainage-pipeline defects. Moreover, the scarcity of annotated point-cloud data and the topological artifacts produced by convention...

Multi-layer aquifer hydrogeological responses to deep coal mining and their controlling mechanisms: A hydrochemical and multi-isotope coupling study

Study region The Dahaize Coal Mine lies on the southern margin of the Mu Us Sandy Land, a key part of the large coal energy base in northern Shaanxi, China. Study focus Deep coal mining severely disturbs regional groundwater stability, yet the long-term and multi-scale responses...

Simulation of Discharge Evolution in the Main Streams of Large Rivers Using a Deep Learning Model: A Case Study of the Yellow River, China

Abstract Simulating river discharge evolution is fundamental to water resources management in large river basins. Nevertheless, human activities such as intensive water abstraction, reservoir operation, and other anthropogenic interventions have rendered the patterns of river dis...

Soil microbial community structure and assembly are more strongly associated with soil background nitrogen content than by short-term nitrogen addition in a salt marsh

Soil microbes drive nutrient cycling, and microbial community composition and assembly are often shaped by plant succession and environmental heterogeneity. Nitrogen (N) is a vital nutrient for microorganisms, yet it remains unclear whether microbial responses to elevated N input...

Interpretable GraphDeep Learning Reveals EcologicalRisks and Attribution Patterns of Polycyclic Aromatic Hydrocarbonsin Urban Greenspace Soils across China

Abstract Characterizing the complex environmental and socioeconomic associations underlying risks related to polycyclic aromatic hydrocarbons (PAHs) in urban greenspace soils is important for ecosystem health, yet conventional tabular models do not explicitly represent these cros...

Runoff Simulation and Analysis in the Upper Yellow River Basin Using a Budyko–XGBoost Coupled Model

The Upper Yellow River (UYR) basin is the predominant runoff-yielding area of the entire watershed. Accurately simulating annual runoff is crucial for water resources management. While the Budyko framework effectively captures long-term hydro-thermal equilibrium, it struggles to...

Crop Growth Models: Development, Applications, Recent Advances, and Future Perspectives

Global climate change has posed a serious threat to agricultural production and food security. Crop growth models, with their excellent simulation and prediction capabilities, have become one of the important tools for guiding agricultural production and ensuring food security. T...