Tidal flats provide essential ecosystem services but are increasingly threatened by reduced sediment supply and human activities, requiring close monitoring and understandings in estuaries. We focus on the four tidal flats with a total area of 1800 km²in the Yangtze Estuary and systematically evaluate their morphodynamic evolution based on consistent bathymetry data over 60 years (1958–2022). While fluvial sediment supply has declined since the mid-1980s, all four tidal flats in the estuary sustained accretion until 2010, demonstrating a lag of 20–30 years in estuarine morphological response to sediment decline. However, note that accretion primarily occurs on higher parts of the shoals, whereas erosion dominates in the subtidal zones. This is mainly attributed to the combined impact of saltmarsh expansions, reclamation, and channel scour and dredging. It suggests that part of the eroded sediment from channels deposits on adjacent shoals, leading to a regional sediment budget balance, particularly in the central channel-shoal complex with the navigation channel. Moreover, the initiative of removing Spartina from the shoals, a fast-spreading invasive species that benefits shoal accretion but not native species, might disrupt the ongoing accretion of high shoals and induce overwhelming erosion and sediment loss. One management strategy to counteract these impacts and restore tidal flats is to make beneficial use of the dredged and trapped sediment from the North Passage, an annual amount of approximately 50 million m³, to the adjacent shoals, though how to sustainably manage the sediments remains another concern.

Many estuaries worldwide have been significantly modified by land reclamation, influencing hydrodynamics and ultimately bed level changes. However, detailed observations documenting how hydrodynamic and morphological changes interact, especially revealing positive feedback mechanisms strengthening the original intervention, remain scarce. This study investigates the morphodynamic response in the macro-tidal, highly turbid Hangzhou Bay (China) over the past three decades to interventions, using unique datasets of annual bathymetry (1991–2019) and synchronous hydrography before and after intensive reclamation (1999, 2019). The analysis reveals severe accretion within the inner bay, with an average bed level rise of 1.21 m (total volume ∼ 2.2 × 10⁹ m³) since 1999, concurrent with a drastic 54.6% reduction in intertidal storage volume. Two key morphological parameters, the ratio of intertidal storage volume to channel volume (Vs/Vc) and the relative tidal amplitude (a/h) systematically decreased by 43% and increased by 6.5%, respectively, thereby enhancing flood dominance. All key hydrodynamic and sediment transport parameters, current velocity, suspended sediment concentration (SSC), tidal volume and sediment flux, showed strong correlations with the tidal range at the bay mouth. Despite a ∼ 30% reduction in mean current velocity and tidal volume from 1999 to 2019, SSC paradoxically increased by 47–133%, and sediment flux rose by ∼44%. The changes are driven by a positive feedback mechanism: the loss of accommodation space and increasing flood dominance promote sediment import and accelerated deposition, which in turn further reduces channel volume and reinforces the tidal asymmetry. This work reveals a key feedback loop accelerating the transition of macro-tidal estuaries towards flood dominant, rapidly infilling and highly turbid systems in response to land reclamation. Such knowledge is key to sustainable sediment management in turbid macrotidal estuaries.

Coastal sediment budgets are a foundational source of information for coastal management decision-making. To quantify these budgets, coastal systems are often divided into “cells” based on jurisdictional boundaries or topography. However, such divisions do not account for the pathways that water and sediment particles actually take. In this study we quantify cell boundaries that emerge from numerical simulations of sand and water pathways in a barrier island-lagoon system in the Netherlands (the Western Wadden Sea). By quantifying Lagrangian particle pathways as a network, we can derive internally well-connected but externally disconnected modules. Here we show that large (O(10 km)) coherent modules develop from flow patterns at tidal timescales (12.5 h), and are persistent through varying tide and weather conditions. Conversely, modules derived from 100 µm sand pathways are less coherent and highly spatially fragmented. The difference in patterns likely relates to the longer timescales associated with sediment transport. These emergent patterns could be used to better inform coastal and estuarine management by providing physics-based sediment cell boundaries.

Hydropower dams induce downstream sediment starvation, influencing fluvial morphology. With the focus commonly on morphological changes, an aspect of sediment starvation that has received much less attention is the impact of changes in the sediment grain size distribution (GSD) on these morphological changes. In this study, we investigate the effects of the Three Gorges Dam (TGD) on the multi-fraction sediment transport and bed recovery in the middle-lower Yangtze River. Based on long-term field data (1987–2021), we evaluate how fine (d < 0.031 mm), medium (0.031–0.125 mm), and coarse (d > 0.125 mm) fractions differentially respond to dam regulation. Our findings reveal a progressive coarsening of suspended sediment and identify three distinct dam-induced sediment regimes: static armored gravel bed, active bed armoring, and strong erosion. Within the first ~350 km downstream of the TGD, erodible sediments, especially fine and medium fractions, have been almost entirely depleted. In contrast, the subsequent 750 km reach has emerged as the dominant sediment source, increasingly characterized by medium and coarse fractions over time. In addition, tributaries now supply fine-grained sediment during the wet season, whereas lakes, acting as long-term sediment storage zones, release previously deposited material during the dry season. Both sources are playing an increasingly important role in modulating the GSD of the middle-lower Yangtze. These findings shed lights on the dam-induced multi-fraction sediment recovery, offering valuable guidance for the sustainable management of river systems influenced by upstream dams.

Tidal rivers are defined as the tide-influenced, salinity-free inland reaches of estuaries. Understanding the occurrence of peak water levels (PWLs) is critical for flood risk management, yet the timing and magnitude of PWLs in tidal rivers have been little studied. We address this gap by investigating PWLs during two catastrophic floods (1954 and 2020) in the tidal Yangtze River, which reveals that PWLs are higher during perigean spring tides under intermediate discharges following peak flow. Three factors modulate the PWLs in tidal rivers: river-enhanced tidal damping, flow-elevation hysteresis that raises the falling flow limb of the hydrograph, and low-frequency subharmonics. The latter, arising from nonlinear river-tide interactions, are distinct in tidal rivers and culminate under intermediate river flow as a result of the balance between tidal energy dissipation and the spectral energy transfer to subharmonics. They elevate PWLs by up to 0.3 m during perigean spring tides in the Yangtze case and amplify compound flood risk. Channel degradation has reduced tidal damping compared with circumstances in the 1950s, resulting in larger tidal ranges and record-breaking PWLs during the 2020 flood despite a smaller peak discharge. We identify tidal rivers spanning over 3,380 km in worldwide estuaries and deltas, where prevalent subharmonics like MSf are up to 0.65 m in amplitude. Many of those experience even larger tidal amplification due to channel deepening, implying escalating flooding risk under sea-level rise and human impact. These findings underscore a need to include nonlinear river-tide interactions in flood risk assessment for river-coast transition zones.

Human interventions influence sediment dynamics, and understanding these mechanisms is essential for predicting short-term and long-term estuarine development. The Deep Channel Navigation Project (DCNP) in the Yangtze Estuary is such a large infrastructural intervention that substantially alters sediment exchanges between channels and shoals and may thereby influence this estuarine development. However, the effect of these constructions on channel-shoal sediment exchange is up to now poorly known. In this study, we use an extensive dataset collected both in channels and on shoals and a numerical model to clarify the exchange mechanisms driving sediment transport patterns in a strongly anthropogenically modified environment. The results indicate that the stepwise construction of hydraulic structures leads to gradual changes in sediment exchange. The first phase was characterized by partially blocked sediment exchange with northward sediment transport towards the main channel and to the northern flats (2002–2010). Next, a transition period was characterized by weaker horizontal sediment exchange and reduced sediment supply (2010–2016). Since 2016, more efficient structures blocking sediment exchange further hinder northward transport and promote deposition on the southern flats. These processes point to the important role of engineering works in strengthening the southward growth of the delta. Moreover, data analyses suggest that northward over-jetty flow during high water induces a net sediment flux towards the channel due to water level gradients. The residual flow controls the net sediment transport both in the longitudinal and lateral direction over the tidal flats. Therefore, a clockwise residual circulation cell forms in the channel-shoal system, contributing to the channel siltation. These findings shed important insights into the role of sediment exchange in channel siltation and large-scale hydrodynamic and delta development. Such knowledge is crucial for sustainable future management of delta distributaries.

A series of laboratory experiments focused on the wind impact on the vertical turbulence structure in shallow water has been carried out. The turbulence characteristics in the mid-lower water column under relatively strong wave conditions are investigated. For different experimental conditions (i.e., waves only, wind only, combinations of wind and waves) in a wind-wave flume, the effects of wind and waves were investigated in detail by decomposing the total energy into different terms (i.e., wind-driven currents, wind waves, wind-induced turbulence). The results show that shallow water waves play a major role in transferring energy by non-zero wave-induced Reynolds stress (u˜w˜‾), turbulent diffusion (u^′w^′‾). The superimposed wind can further modify the energy transference due to its impact on wave asymmetry and skewness as well as through homogenizing the time-average velocity profiles. Subsequently, the impact of wind on turbulence structure was explored in detail. The most important finding is that the wind can directly influence water turbulent diffusion (u^′w^′‾) along with wave-induced turbulence. The vertical turbulence intensity (σ_w) is more sensitive to wind than the horizontal turbulence intensity (σ_u). Furthermore, the major way that wind affects water turbulence is by introducing nonlinear wind and wave interactions, which exhibit a maximum effect (∼60 % compared to the respective effect of wind and wave) at the edge of the bottom boundary layer. This study demonstrates that the wind can transfer momentum downward to mid-lower water columns even under strong waves in shallow waters, which differs from that in deep water systems.

Recent remote sensing analysis has revealed extensive loss of tidal flats, yet the mechanisms driving these large-scale changes remain unclear. Here we show the spatiotemporal variations of 2,538 tidal flat transects across China to elucidate how their morphological features vary with external factors, including suspended sediment concentration (SSC), tidal range, and wave height. We observe a correlation between flat width and SSC distribution, and between flat slope and tidal range. A nation-wide decline in flat width is observed together with SSC reduction between 2002 and 2016. Intriguingly, sediment-rich flats exhibit more rapid width losses if SSC reduces, but slower width gain if SSC increase compared to sediment-starved flats. These dynamics resemble stretched (sediment-rich) or compressed (sediment-starved) springs that tend to return to equilibrium, which can be explained by synthetic morphodynamic modeling. Similar patterns can be observed from Indonesia, the United States, and Australia, implying that the impact of sediment supply change is wide-spread and large-scale sediment allocation plan based on equilibrium concept can help preserving intertidal ecosystems.

Tidal inlets are a common feature along the world’s coastline. Inlet-adjacent coastlines have for millennia supported communities and livelihoods, and therefore, projected climate change driven variations in catchment-estuary-coast (CEC) system drivers (e.g., sea-level rise (SLR)) are likely to lead to substantial socio-economic impacts. One important SLR-driven process that affects inlet-adjacent shoreline change is basin-infilling (i.e., sediment import to the estuary from the coast to satisfy the SLR-driven increase of estuarine accommodation space). Due to the slow morphological response to hydrodynamic forcing, however, there is a time lag between basin infilling and SLR, which, in numerical models that simulate century-scale evolution of CEC systems, is represented by a basin infilling lag factor (M). To date, an indicative M value has only been derived for small tidal inlet systems (M ~0.5), and due to the lack of M estimates for larger systems, studies have been using M ~0.5 indiscriminately. Here, for the first time, we derive indicative M values for small, medium, and large tidal inlet systems (M ~0.5, ~0.25 and ~0.15 respectively) via analytical considerations. Subsequently, to investigate the consequences of using sub-optimal M values on twenty-first century projections of inlet-adjacent shoreline change, we apply a probabilistic, reduced complexity model (G-SMIC), under four IPCC AR6 climate scenarios, to three CEC systems representing small, medium and large systems. Results show that, in general, shoreline change projections are substantially lower(higher) when M values smaller(larger) than the indicative M for a given system are used. When smaller-than-optimal M values (0.25 and 0.15) are used for the small tidal inlet, both mid- and end-century shoreline retreats are under-estimated by 50–75% (across the four climate scenarios), relative to projections obtained with the optimal M value. For the medium-sized inlet, shoreline retreats for both future periods are over-estimated by ~100% with the larger-than-optimal M value of 0.5, while they are under-estimated by ~40–75% (across climate scenarios) with the smaller-than-optimal M value of 0.15. When the two higher-than-optimal M values (0.25 and 0.5) are used for the large tidal inlet system, shoreline retreat is over-estimated by ~ 65–240% (across climate scenarios) for both future periods. In terms of absolute values, these under/over-estimations increase in time and with the severity of emission scenario.

Tidal flats are typically rich in fine-grained sediments, with tidal currents serving as the dominant hydrodynamic force. Sediment transport, mainly in the form of suspended load, is especially active in the mid- to low-tidal zones, where silt-rich sediments prevail. In these zones, variations in silt content significantly influence sediment suspension dynamics. To investigate the effect of silt content on the suspension behaviours of sand-silt mixtures under unidirectional flow, a series of experiments has been conducted in an annular flume. Sediment samples collected from silt-enriched tidal flats were remixed into seven types of sediment beds with the silt content ranging from 19 % to 79 %. Results indicate that under steady current conditions, the suspended sediment concentration (SSC) in sand-silt mixtures increased toward equilibrium. Sediment beds with 36 %–60 % silt content exhibited two-stage erosion behaviour, each marked by distinct characteristics. At low to moderate shear stress (0.18–0.74 Pa), smoother bed surfaces and hiding-exposure effects led to higher near-bed velocities and lower equilibrium SSCs. At higher shear stress levels (1.00–1.23 Pa), this behaviour shifted, with prolonged suspension development becoming the key feature. Based on the experimental findings, we further re-calibrated the equations predicting equilibrium SSC, which can be well described by a modified excess shear stress to the power of two. Subsequently, we investigated the boundary conditions that govern sediment suspension to model the observed suspension process. Building on the boundary condition prescribing a constant upward sediment flux, an asymptotic upward flux condition, which represents the delayed erosion response due to the resistance of silty bed structure, has been introduced and demonstrated as the most feasible. Furthermore, the development of SSC towards equilibrium was investigated. This process is well characterised by a time scale, which becomes notably larger for sediment beds with 36 %–60 % silt content at high velocity levels, reflecting their delayed response in suspension. These findings elucidate key mechanisms governing silt-dominated sediment erosion, enhancing predictive capabilities in modelling mixed sediment transport.

Wave nonlinearity plays a critical role in modulating energy dissipation and sediment transport in vegetated coastal zones, influencing shoreline stability and ecosystem-based defenses. This study analyzes 45 d of wave observations from the Yangtze Estuary, including data collected during Typhoon Khanun, to investigate its spatial variability and underlying mechanisms of wave nonlinearity across a mudflat–vegetation transect. Wave skewness and asymmetry varied within tidal cycles, increasing at low tide and decreasing at high tide. During typhoon conditions, nonlinearity intensified significantly, with skewness increasing by up to 346% and asymmetry shifting toward more forward-leaning waveforms, both closely linked to elevated Ursell numbers. Bispectral analysis at five stations across the transect revealed distinct energy transfer mechanisms: sum interactions dominated over mudflats, whereas difference interactions prevailed within vegetated zones, indicating vegetation-induced modification of nonlinear wave dynamics. Further analysis shows that shoaling and vegetation exerted opposing influences, amplifying and damping wave nonlinearity, respectively. Empirical formulas proposed by Zhao et al. (Coastal Engineering 2024; 192:104543) from laboratory data were evaluated against the field data, demonstrating reasonable performance under extreme conditions. These findings improve mechanistic understanding of wave–vegetation interactions and support the development of nature-based strategies for coastal resilience and sediment management.

Physics-informed neural networks (PINNs) are increasingly being used in various scientific disciplines. However, dealing with non-stationary physical processes remains a significant challenge in such models, whereas fluid motions are typically non-stationary. In this study, a PINN-based method was designed and optimized to solve non-stationary fluid dynamics with shallow water equations in a polar coordinate system (PINN-SWEP). It was developed and validated with a classic circular basin case that is well-documented in scientific literature. In the validation case, the wind-induced water surface fluctuations are less than 1 cm, posing challenges in modeling. However, our PINN-SWEP model can accurately simulate such tiny water surface fluctuations and resolve complex fluid motions based on limited and sparse data. A boundary discontinuity problem associated with the use of a polar coordinate system is further discussed and improved, thereby enhancing the applicability of PINN in water research. The methodology can provide an alternative solution for numerical or analytical solutions with high accuracy.

Tidal flats are critical coastal ecosystems, with their geomorphic characteristics traditionally understood to be primarily influenced by tidal, wave, and storm forces. This study investigates the impact of rainfall on the morphodynamics of upper tidal flats by combining hydrodynamic-sediment data, meteorological rainfall records, and video monitoring at the Chongming Dongtan tidal flat in the Yangtze River Estuary, China. We show that rainfall significantly increases suspended sediment transport and accelerates tidal channel elongation. Notably, rainfall events—though occurring during only 25 % of observed tidal inundation periods—accounted for 62 % of cumulative net sediment transport. This disproportionate efficiency compared to tidal forcing stems from the rainfall-induced hydraulic connectivity between expansive supratidal areas and tidal channels, where concentrated runoff convergence intensifies scour dynamics. These findings challenge the traditional view of tidal flat dynamics, suggesting that rainfall is a more influential driver of morphodynamic change than previously recognized.