沙质海岸强浪作用下沿岸输沙问题研究

在沙质海岸上修建导流堤、丁坝等会引起局部海域水沙动力条件的改变和海床冲淤调整,因此准确预测沿岸输沙率是海岸工程建设前进行优化设计的基础条件之一.首先构建了刻画高强度推移质输沙过程中固-液混合体运动的理论模型,通过寻求模型的特解并推导成1D沿岸输沙率公式.该公式适宜计算强浪作用下的推移质输沙率,已得到了大型波浪水槽、往复流水道和海滩现场实测输沙率资料的良好验证.通过与物理模型试验实测输沙量结果的比较,进一步表明该公式能够较好地预测沙质海岸在寒潮大风浪(或台风浪)作用下的高强度输沙量(骤淤量).     

海南岛万泉河口博鳌潮汐汊道演变及沿岸输沙率的计算

通过收集不同时期的遥感资料,结合已往的研究,分析了海南岛万泉河口博鳌潮汐汊道演变的年际与季节性变化规律;根据实测波浪资料计算了年沿岸输沙率及沿岸输沙率的季节变化。结果表明,博鳌潮汐汊道的演变具有周期性的规律,年际特征为南、北侧沙嘴分别向口门进积、口门总体变窄;从10a以上的尺度来看,封堵口门的趋势不断被洪季时的洪水和风暴潮增水所打断。另外通过沙嘴体积变化反推了博鳌近岸的沿岸输沙率,其结果与CERC公式计算结果一致,表明此公式在博鳌岸段有较好的适用性。     

应用现场实测波浪资料直接计算沿岸输沙率

本文应用波能流守恒法则，导得可直接应用现场实测波浪资料计算沿岸输沙率关系式。通过两个实例计算，说明计算值与实际沿岸输沙率一致。     

黄河下游泥沙输沙率的预测

利用黄河利津站的精密水文泥沙测量结果对一些常用水流泥沙输沙率公式进行验证表明，Ｖａｎ Ｒｉｊｎ公式最适合于黄河泥沙输沙率的预测，对公式做部分校正则可以大大提高其预测能力。     

厦门岛东南部海岸演变与泥沙输移

通过海岸地貌调查、沉积物分布、岸线对比、沿岸输沙率计算等手段，分析研究了厦门岛东南部海岸海滩的演变特征，认为厦门岛东南部海岸的沿岸净输沙方向是由东北向西南，由东向西；黄厝湾中北部存在反向输沙。文中划分了中－强侵蚀海岸、中侵蚀海岸、中－弱侵蚀海岸、弱侵蚀海岸、弱淤积海岸和不确定海岸等6种类型。人工采沙是引起海岸侵蚀的最重要因素之一。     

大亚湾大鹏澳菱角石沿岸泥沙动态

本文根据大亚湾大鹏澳菱角石沿岸的波浪、潮流和泥沙资料,探讨了菱角石沿岸泥沙来源、泥沙活动水深和破波带,估算了破波带沿岸输沙率和非破波带底沙单宽输沙率,说明了沿岸泥沙运移以破波带沿岸输沙为主,验证了赵子丹提出的估算沿岸输沙率的关系曲线的可靠性。     

利用风要素计算港湾沿岸输沙率的一个数学模式

本文利用风浪要素计算方法,依波能流守恒法则,建立了一个由风要素计算港湾沿岸输沙率的数学模式Ql=1.906×10-8g-0.97F1.03u2.94cos1.2α0sinα0(m3/s).这模式对于缺乏测波资料的风速较小,水深较大(gd/u2)的海湾、湖泊等环境的沿岸输沙率求算具有实用价值.与现有主要几种计算沿岸输沙率的数模和方法进行计算比对,本文模式的计算结果有较好可信性与准确性.     

山东荣成湾沿岸输沙率及沙嘴的演化动态

山东荣成湾发育了NEE-SWW向约10 km长的沙坝,通过沿岸输沙率的计算、沙源分析得出以下结论:荣成湾沙坝的主要沙源为海底来沙和海岸来沙,其沿岸纵向净体积输沙率为15.52×104 m3/a,为沙坝的形成和演化提供了物源基础;沙嘴各段输沙率的计算及相应段沙嘴层理剖面分析,揭示了沙嘴的动态演化趋势.     

黄河口挑河河口悬沙分布与输移特征研究

基于实测资料对黄河废弃河道挑河河口段的悬沙分布及输移特点进行了研究。结果表明:挑河河口段悬沙浓度与潮流流速正相关,风浪作用则导致悬沙质量浓度大大提高;在空间尺度上悬沙浓度呈河口高、河道上游低的特点;挑河河口附近,涨潮流输沙明显占优势,向河道内侧,悬沙输移率有所降低,且逐渐转变为落潮输沙占优势。结合河口外侧海域冲淤演变趋势以及悬沙输运动力机制,认为河口段河道总体处于弱淤积状态,而风浪作用可以加速河道淤积。本研究可为挑河的河口演变和航道整治等提供参考。     

人工示踪沙实验的原理与进展

人工示踪沙实验是进行沉积物搬运研究的一咱独立方法,已有近５０年的发展历史。人工示踪沙实验有三种主要方法（即空间积分法、时间积扮法和连续投放法）,可用以获得活动层厚度、垂向和水平系数、输运率等定量参数,并进行不同输沙公式进行对比验证,在海底稳定性分析、港湾冲淤、工程措施影响评价等方面都有应用价值。通过加强实验的物理边界、沉积物活动层厚度、实验的时空尺度、充分混合状态、示踪沙加收率、沉积特搬运过程等方     

Longshore sorting on a beach under wave action

Sorting of sediment on a beach under wave action takes several forms. Stratified layers of finer and coarser sediment, which depend on wave climate, grain size and beach slope are formed. This complex problem can be simplified by defining the cross-shore and longshore sorting according to the angle between the breaking wave and the coast. In the present study, longshore distribution of sediment as well as corresponding beach profiles was measured in a wave basin. Three-dimensional hydraulic model experiments were performed with regular waves. Eighteen sets of experiments performed in longshore sorting mechanism using two different sand beds. The sorting of the bed material and the formation of armour coats along the beach were defined by grain size distributions and dimensionless parameters for sandy beaches.The rate of sediment transport with grain size sorting was measured in a wave basin. A method introduced sorting process was presented in this study. The sediment rate based on sorting mechanism was also discussed with known methods. It has been found that the non-uniformity of the grain size and hence sorting of the beaches play a very important role in the sand transport due to wave motion in a similar way to the case of steady flow in alluvial channels.     

A new formula for the total longshore sediment transport rate

A new predictive formula for the total longshore sediment transport (LST) rate was developed from principles of sediment transport physics assuming that breaking waves mobilize the sediment, which is subsequently moved by a mean current. Six high-quality data sets on hydrodynamics and sediment transport collected during both field and laboratory conditions were employed to evaluate the predictive capability of the new formula. The main parameter of the formula (a transport coefficient), which represents the efficiency of the waves in keeping sand grains in suspension, was expressed through a Dean number based on dimensional analysis. The new formula yields predictions that lie within a factor of 0.5 to 2 of the measured values for 62% of the data points, which is higher than other commonly employed formulas for the LST rate such as the CERC equation or the formulas developed by Inman–Bagnold and Kamphuis, respectively. The new formula is well suited for practical applications in coastal areas, as well as for numerical modeling of sediment transport and shoreline change in the nearshore.     

Discussion on Coastal Erosion Near Xizhuang, Penglai, China

-In this work, on the basis of the characteristics of coastal erosion near Xizhuang (Penglai, Shandong, China) and the in-situ measured data and theoretical calculation, the causes of coastal erosion there are obtained: (1) natural erosion, (2) beach sand borrowing, and (3) sand borrowing at the Dengzhou shoal near Xizhuang, which results in the loss of the function of the wave force resistance of the shoal. Since the wave energy is increased, the longshore sediment transport rate is increased. Coastal erosions are more and more serious. A scientific basis to reduced the calamity of coastal erosion in local area is presented. Some experiences are accumulated for studying coastal erosion.     

A mathematical model of spit growth and barrier elongation: Application to Fire Island Inlet (USA) and Badreveln Spit (Sweden)

A mathematical model of spit growth and barrier elongation adjacent to an inlet (of arbitrary width), supplied by sediment coming from longshore sediment transport, was developed based on the spit growth model proposed by Kraus (1999). The fundamental governing equation is the conservation equation for sand, where the width of the spit is assumed constant during growth. The portion of the longshore sediment transport feeding the spit has been estimated based on the ratio between the depth of the inlet channel and the depth of active longshore transport. Sediment transport from the channel due to the inlet flow, as well as other sinks of sand (e.g., dredging), are taken into account. Measured data on spit elongation at Fire Island Inlet, United States, and at Badreveln Spit, Sweden, were used to validate the model. The simulated results agree well with the measured data at both study sites, where spit growth at Fire Island was restricted by the inlet flow and the growth at Badreveln Spit was unrestricted. The model calculation for Fire Island Inlet indicates that the dredging to maintain channel navigation is the major reason for the stable period observed from 1954 to 1994 at the Fire Island barrier. The average annual net longshore transport rate at the eastern side of the Fire Island inlet obtained in this study was about 220,000 m³/yr, of which approximately 165,000 m³/yr (75% of the net longshore transport) is deposited in the inlet feeding the spit growth, whereas the remaining portion (25%) is bypassed downdrift through the ebb shoal complex.     

琼州海峡南岸海岸动力地貌研究

岬湾相间的琼州海峡南岸在海岸动力条件作用下,岸滩发生侵蚀或堆积,特别是南岸中部的南渡江三角洲沿岸岸滩演变剧烈。该文从海岸动力地貌的角度,对琼州海峡南岸的海岸动力特征、泥沙运动以及岸滩演变进行分析。根据海峡南部三维潮流场数值模拟结果,结合经验公式初步分析潮流引起的泥沙运移速率和方向,得到岸外水域总的泥沙运移趋势为从西向东。根据波浪动力计算分析沿岸泥沙运移,探讨沙质岸滩的动态与地貌演变之间的关系,得出海峡南岸海岸地貌演变与盛行的NE和NNE向风浪有密切关系,岸滩的演变过程主要受制于这两个方向的风浪及其引起的泥沙沿岸运移。     

Longshore sediment transport estimation using a fuzzy inference system

Accurate prediction of longshore sediment transport in the nearshore zone is essential for control of shoreline erosion and beach evolution. In this paper, a hybrid Adaptive-Network-Based Fuzzy Inference System (ANFIS), Fuzzy Inference System (FIS), CERC, Walton–Bruno (WB) and Van Rijn (VR) formulae are used to predict and model longshore sediment transport in the surf zone. The architecture of ANFIS consisted of three inputs (breaking wave height), (breaking angle), (wave period) and one output (longshore sediment transport rate). For statistical comparison of predicted and measured sediment transport, bias, root mean square error and scatter index are used. The longshore sediment transport rate (LSTR) and wave characteristics at a 4 km-long beach on the central west coast of India are used as case studies. The CERC, WB and VR methods are also applied to the same data. Results indicate that the errors of the ANFIS model in predicting wave parameters are less than those of the empirical formulas. The scatter index of the CERC, WB and VR methods in predicting LSTR is 51.9%, 27.9% and 22.5%, respectively, while the scatter index of the ANFIS model in the prediction of LSTR is 17.32%. A comparison of results reveals that the ANFIS model provides higher accuracy and reliability for LSTR estimation than the other techniques.     

Mobile sand deposits and shoreface sediment dynamics in the inner German Bight (North Sea)

This paper presents a conceptual model for the net bedload transport regime on the shoreface of the German Bight. The model is based on the spatial distribution of the surficial sediment cover (North Sea sands) which is identical to the uppermost layer in the seismic recordings. Sediment thickness was measured using very high resolution seismic profiling (chirp sonar) and vibrocoring. The three-dimensional sediment distribution was estimated using geostatistical methods (cokriging). The results demonstrate a longshore sand distribution with three distinct zones. In Zone 1 (0–10 m water depth) the sediments attain their maximum thickness of 10±2.5 m. Between 10 and 15 m water depth a relatively thin sand layer of 0.4–1.5 m is observed within Zone 2. The seaward adjacent Zone 3 (15–20 m water depth) is characterized by an averaged sand thickness of 2–3 m with local maxima of 5–6 m. Further offshore, the sand layer decreases to about 1–2 m thickness. The net bedload transport directions inferred from this sediment zonation comprise a longshore sediment bypassing in Zone 1 which results in a substantial sediment supply to the innermost part of the German Bight due to bedload convergence. Shore-normal bedload transport shifts sand to and fro across the coastal profile although the net directional transport is seawards. This results in sediment depletion between the 10 and 15 m-isobaths (Zone 2) and an adjacent sediment accumulation in deeper waters (Zone 3).     

Modeling regional sediment transport and shoreline response in the vicinity of tidal inlets on the Long Island coast,United States

A new numerical model was developed to simulate regional sediment transport and shoreline response in the vicinity of tidal inlets based on the one-line theory combined with the reservoir analogy approach for volumetric evolution of inlet shoals. Sand bypassing onshore and sheltering effects on wave action from the inlet bar and shoals were taken into account. The model was applied to unique field data from the south coast of Long Island, United States, including inlet opening and closure. The simulation area extended from Montauk Point to Fire Island Inlet, including Shinnecock and Moriches Inlets. A 20-year long time series of hindcast wave data at three stations along the coast were used as input data to the model. The capacity of the inlet shoals and bars to store sand was estimated based on measured cross-sectional areas of the inlets as well as on comprehensive bathymetric surveys of the areas around the inlet. Several types of sediment sources and sinks were represented, including beach fills, groin systems, jetty blocking, inlet bypassing, and flood shoal and ebb shoal feeding. The model simulations were validated against annual net longshore transport rates reported in the literature, measured shorelines, and recorded sediment volumes in the flood and ebb shoal complexes. Overall, the model simulations were in good agreement with the measured data.     

Sediment Transport in Rivers and Coastal Waters

Following Bagnold's approach, a relationship between sediment transport and energy dissipation is developed. The major assumption made in the study is that the near bed velocity plays a dominant role in the process of sediment transport. A general relationship between energy dissipation and sediment transport is first proposed. Then the equations for total sediment transport are derived by introducing the appropriate expression of energy dissipation rate under different conditions, such as open channel flows, combination of wave and current, as well as longshore sediment transport. Within the flows investigated, the derived relationships are fairly consistent with the available data over a wide range of conditions.     

潮流场对渤、黄、东海陆架底质分布的控制作用

运用二维潮流数学模型，模拟了渤、黄、东海陆架的M2潮汐、潮流。结果表明，渤、黄、东海陆架的潮流有强弱之分以及往复流和旋转汉之别。在此基础上，计算了8种粒径沙的湖平均悬移输沙率、潮平均推移输沙以及相应的输沙率散度。根据输沙率散度的正负，划分了海底冲刷区与淤积区。根据不同粒径泥沙输沙率散度的相对大小，确定出海底的主要底质类型为砂质沉积、粉砂质泥沉积和以粉砂为主的混合沉积。计算结果表明，海底3种主要底负类型的分布格局与海底的冲淤格局以及与输沙率矢量的发散和聚合状况基本一致。在渤、黄、东海陆架，沙脊主要在强往复流区形成，沙席主要在强或较强的旋转流区形成，泥质沉积主要在弱潮流区形成。砂质沉积、泥质沉积以及混合沉积这3种主要底质类型并非孤立存在，而是受渤、黄、东海陆架潮流场控制而形成的一个完整的潮流沉积体系。渤、黄、东海陆架的砂质沉积与泥质沉积并非残留沉积，而是潮流沉积。在没有冷涡的情况下，黄、东海陆架的典型泥质沉积在弱潮流环境中同样可以形成，因此，认为冷涡并非黄、东海陆架典型泥质沉积形成的必要条件。