河口海岸中长时间尺度动力地貌系统模拟研究与进展

我国河口海岸动力沉积和动力地貌研究以沉积学和地貌学的方法侧重静态描述,动力地貌相互作用的定量研究不多,与缺少动力地貌模型技术有关。本文介绍了中长时间尺度的河口海岸动力地貌模型技术及其发展和应用,讨论了决定动力地貌演变的泥沙余输运及引起泥沙余输运的主要动力因子,介绍了动力地貌模型的应用进展,进而分析了河口海岸地貌过程的机制和地貌平衡系统。本文指出对淤泥质及复杂动力条件下的河口海岸动力地貌过程还有待进一步研究。     

大河三角洲河口海岸演化机理模型研究:(I)模式理论与进展

从水沙通量变化对大河三角洲河口海岸建造及地貌演化的影响机理角度,通过研究目前国际上普遍采用的统计模型、几何模型、沉积动力学模型,以及数值模拟模型四种方法在建立大河三角洲河口海岸演化机理模型研究中的各自特点和不足,提出了建立宏观尺度机理模型的初步设想,并对运用Lagrange余流建立海岸演化机理模型所涉及的余流场的尺度转换、总余流场的建立和表达、用长期余流场构建泥沙起动、输运和沉积条件模式以及一线模型与三维动力模式耦合等关键性问题,提出了初步解决方案     

砂质海岸侵蚀研究进展

地形动力学方法已成为国外海岸地形动力过程研究的主要方法,国内仍多采用传统地理学的定性、半定量的研究方法,在海岸地形和水动力之间耦合机制方面所做的研究相对较少,这是国内砂质海岸侵蚀研究需加强之处.文中首先回顾了国内外砂质海岸侵蚀的研究历程,然后从海岸地形动力过程入手,从小、中、大3个尺度介绍了国、内外砂质海岸侵蚀的研究状况.     

基于GIS和FVCOM数值模型的近海岸水动力计算——以渤海为例

GIS以其强大的空间数据存储、处理和分析功能已经广泛地应用于众多工程模型的建模和计算中。FVCOM模型对复杂地形岸界适应性好,同时又可以更好地保证质量的守恒性,是理想的近海岸水动力计算模型。以渤海的水动力计算为例,基于两者的耦合,提出了GIS支持下的近海岸水动力模拟计算前处理的空间数据管理、自动剖分网格和数据自动提取的方法,提高了建模、调试和前处理的效率。后处理使用了NetCDF和Geodatabase空间数据库格式存储多维计算结果数据,对渤海潮流和温盐的计算结果进行了验证和分析。计算结果表明,GIS耦合模型的使用能够方便模型数据的处理,大大提高模型的建模效率,清晰和生动地表达计算结果,反映了模拟研究区域的物理特性,对近海环境管理决策提供了数据和理论的决策支持。     

EOF分析在海岸地貌与沉积学研究中的应用进展

海岸地貌形成演化的过程和机制是当今海岸地貌与沉积学研究的核心任务.但是,对于海岸带这样高维数非线性系统行为的认识与研究还很有限,因而预测海岸地区地貌演变与沉积物输运就变得比较困难,尤其是动力数值模型在较大时空尺度上的模拟并不理想.数据驱动模型可以一定程度上解决这一问题,并且在数据驱动模型构建之前,经验正交函数(EOF)分析技术能够有效提取、定量表达数据中的主要型式与它们的时空演变,以及不同型式之间是如何相互联系的.这不但有助于构建数据驱动模型进行模拟,更有益于理解这些主控因素是如何影响海岸地貌演化的.进而不断丰富对于海岸地貌演化的过程与机制的认识.故本文在系统整理大量国内外文献的基础上.首先简要介绍了EOF分析的基本原理.然后从砂质和淤泥质海岸剖面的时空变化特征、河口近岸海底冲淤变化的时空演变特征和预测、海岸海洋地区沉积物粒度分布特征和输运等几个方面综述EOF分析在这些研究中的应用进展,同时比较分析研究实例中的问题,进而分析当前研究中的不足,提出应该主要从提高海岸地貌与沉积数据的野外获取手段与时空分辨率,拓宽可供EOF分析的时间或非时间序列的数据类型:深人挖掘EOF分析结果所显示出的海岸地貌与沉积现象中的物理过程与机制.以期为特定时空尺度的海岸地貌与沉积数值模拟提供有价值的参考信息:多与其他线性或非线性分析技术联合使用以作深入分析解释或模拟这三方面来做进一步改进,为实现EOF分析在海岸地貌与沉积学研究中的深入应用与发展提供借鉴.     

西北干旱区阿克苏河径流对气候波动的多尺度响应

基于阿克苏河流域1960~2010年的气象、水文观测数据,利用集合经验模态分解（EEMD）方法,对研究期内阿克苏河径流时间序列进行多尺度的分析,并探讨其在不同时间尺度上的振荡模态结构特征及其对气候因子的多尺度响应。结果表明：① 近50年来,阿克苏河年径流整体上呈现出显著的非线性增加趋势,且其变化在年际尺度上表现出准3 a和准6~7 a的周期性波动,在年代际尺度上表现出准13 a和准25 a的周期性变化;② 各周期分量的方差贡献率表明,年际振荡在径流长期变化中占据主导地位,年代际尺度在径流变化过程中也起着重要作用。重构的径流年际变化能够较为详细地描述原始径流序列在研究时期内的波动趋势,重构的径流年代际变化则有效揭示了阿克苏河径流在不同年代丰、枯水期交替出现的状态。③ 在年际尺度上径流与气温、降水和潜在蒸发都表现为不显著的正相关关系,而在年代际尺度上,径流量与气温和降水均表现为显著的正相关关系,与潜在蒸发表现为显著的负相关关系,且在年代际尺度上相关性和显著性明显强于年际尺度,表明年代际尺度更适于评价径流对气候波动的响应。结果表明EEMD是一种甄别非线性趋势和尺度循环的有效方法。     

近121 a来土库曼斯坦气温变化特征

利用土库曼斯坦7个代表性气象站的1891-2011年逐月平均气温资料,采用线性回归、滑动平均、Mann-Kendall突变检验和Morlet小波分析等方法,研究了土库曼斯坦近121 a来气温变化总体趋势和特征。结果表明：近121 a以来,土库曼斯坦年、四季平均气温均呈上升趋势且多次出现冷暖波动过程,20世纪80年代以后增温尤为明显,其中,秋季增温最为明显;20世纪90年代温度发生由降转升的突变,突变点为1994年,通过了99%显著水平;土库曼斯坦年均气温主要存在55、35和18 a的振荡周期,55 a在时间尺度上的震荡是全时域的,而18 a尺度上的震荡在20世纪30年代以前和80年代以后震荡较强。     

天津自由贸易试验区发展演化动力机制

自由经济区作为经济全球化和区域经济一体化的产物,近年来已成为促进各国,尤其是发展中国家经济发展的增长极、城市化的驱动力以及制度创新的重要平台。在中国,为应对全球化与世界贸易格局的新挑战,增强深化改革开放新动力,实施国家“一带一路”和京津冀一体化发展战略,贸易型自由经济区如自由贸易区的建设显得尤为迫切。目前一些专家学者对自由经济区发展规律与影响因素进行了定性分析与归纳,但运用定量研究方法从动力机制角度探讨其演化规律的研究还不多见。因此,本文在借鉴国内外关于自由经济区理论及案例研究基础上,应用访谈、问卷等形式采集数据,综合运用层次分析和模糊评价分析方法,选用政策、市场、环境、产业、要素、效益和创新驱动力7个要素,建立了自由经济区发展演化动力机制评价模型和指标体系;最后,运用该模型,结合天津滨海新区实际情况,系统分析了影响天津自由贸易试验区发展演化主要动力因子及动力机制,从而预测未来天津自由贸易试验区发展演化模式;最后,探讨了该研究对中国其他自由贸易试验区发展与演化的意义。本文对中国未来自由经济区的转型与发展以及理论研究具有参考价值。     

国际LUCC模型研究进展及趋势

LUCC模型有助于深刻理解土地利用系统动态.经过10多年的发展,LUCC模型在理论和实践方面有了很大发展.开发新一代LUCC模型成为了GLP的一项重要任务.在大量阅读分析国际上LUCC模型应用研究的基础上.基于土地利用变化与骄动力之间相互作用表征方法的差异,从认识论的角度出发,本文将LUCC模型概括为经验一统计模型、概念机理模型和综合模型,并分别对各类模型的概念、技术方法、应用以及存在的缺陷等进行了分析.发现各种模型均能够解决特定的LUCC问题,同时也存在着缺陷和局限性.目前,LUCC建模中仍存在着时空尺度和数据方面的问题,未来LUCC模型发展趋势主要表现在解决LUCC中多尺度问题,评价和解决空间领域效应和时间动态方而的问题,土地系统可持续性综合分析与建模等方面.     

21世纪以来中国城镇化动力机制分析

以省区为基本单元,借鉴欧向军等人提出的四维分析视角,构建综合指标体系,结合面板数据分析、时序分析、空间分析等方法,对2000年以来我国城镇化发展的动力机制加以考察。面板数据分析发现市场力、行政力以及内源力作用较强,而外向力作用较弱,反映了我国城镇化动力机制的内生性特点。时序分析发现新世纪以来城镇化动力机制具有较强的动态性与趋势性,虽然金融危机会对动力组成结构产生一定的扰动,但是在长时间尺度上,内源力作用逐渐上升而行政力作用逐渐下降将成为必然的趋势。而空间分析显示,市场力与内源力具有一定的历史依赖性,优势地区将继续保持领先,落后地区继续维持落后状态。随着市场力的不断稳固和内源力的持续增长,城镇化不平衡发展的趋势将加剧。增加行政力的宏观调控作用,促进城镇化动力的多元化是缓解这一不平衡的重要策略。     

黄河入海泥沙悬移输送机制的控制试验(英文)

Five diagnostic experiments with a 3D baroclinic hydrodynamic and sediment transport model ECOMSED in couple with the third generation wave model SWAN and the Grant-Madsen bottom boundary layer model driven by the monthly sediment load of the Yellow River, were conducted to separately diagnose effects of different hydrodynamic factors on transport of suspended sediment discharged from the Yellow River in the Bohai Sea. Both transport and spatio-temporal distribution of suspended sediment concentration in the Bohai Sea were numerially simulated. It could be concluded that suspended sediment discharged from the Yellow River cannot be delivered in long distance under the condition of tidal current. Almost all of sediments from the Yellow River are deposited outside the delta under the condition of wind-driven current, and only very small of them are transported faraway. On the basis of wind forcing, sediments from the Yellow River are mainly transported north-northwestward, and others which are first delivered to the Laizhou Bay are continuously moved northward. An obvious 3D structure characteristic of sediment transport is produced in the wind-driven and tide-induced residual circulation condition. Transport patterns at all layers are generally consistent with circulation structure, but there is apparent deviation between the depth-averaged sediment flux and the circulation structure. The phase of temporal variation of sediment concentration is consistent with that of the bottom shear stress, both of which are proved to have a ten-day cycle in wave and current condition.     

Diagnostic experiments for transport mechanisms of suspended sediment discharged from the Yellow River in the Bohai Sea

Five diagnostic experiments with a 3D baroclinic hydrodynamic and sediment transport model ECOMSED in couple with the third generation wave model SWAN and the Grant–Madsen bottom boundary layer model driven by the monthly sediment load of the Yellow River, were conducted to separately diagnose effects of different hydrodynamic factors on transport of suspended sediment discharged from the Yellow River in the Bohai Sea. Both transport and spatio-temporal distribution of suspended sediment concentration in the Bohai Sea were numerially simulated. It could be concluded that suspended sediment discharged from the Yellow River cannot be delivered in long distance under the condition of tidal current. Almost all of sediments from the Yellow River are deposited outside the delta under the condition of wind-driven current, and only very small of them are transported faraway. On the basis of wind forcing, sediments from the Yellow River are mainly transported north-northwestward, and others which are first delivered to the Laizhou Bay are continuously moved northward. An obvious 3D structure characteristic of sediment transport is produced in the wind-driven and tide-induced residual circulation condition. Transport patterns at all layers are generally consistent with circulation structure, but there is apparent deviation between the depth-averaged sediment flux and the circulation structure. The phase of temporal variation of sediment concentration is consistent with that of the bottom shear stress, both of which are proved to have a ten-day cycle in wave and current condition.     

渤海风驱-潮致拉格朗日余流的数值模拟与季相时空变异

利用HellermanandRosenstein全球风应力资料中的多年月平均风场资料驱动ECOM模型,设计了潮致、纯风生以及风与潮两者叠加三个数值实验对渤海海域风驱-潮致拉格朗日(Lagrange)余流的逐月时空分布与季节变化进行了模拟。研究结果表明,季风的大小和方向决定了渤海风驱-潮致拉格朗日余流的大小和方向,是影响余流流向和流速的重要因素。冬季,从渤海西岸到莱州湾海域风驱-潮致拉格朗日余流表现出一个大逆时针环流,辽东湾呈现顺时针方向流动,渤海中部存在一个弱的顺时针流环。夏季,整个渤海海域呈现顺时针流况,渤海海盆存在一微弱的逆时针涡旋,一支西南向流沿辽东湾东岸穿越渤海海盆,与起自渤海湾的东向流一起进入莱州湾。风驱-潮致拉格朗日余流主要受风的控制,潮汐则起到一定的调整作用。     

黄河入海泥沙输运及沉积过程的数值模拟

以利津站代表的黄河入海径流和泥沙数据驱动ECOMSED模型,对黄河入海泥沙悬移输运过程的逐月时空变化、输送通量以及海底沉积效应进行了数值模拟实验。分析结果表明,在忽略再悬浮作用条件下,黄河入海泥沙的输运扩散过程具有明显的季节变化规律,且这种变化具有年际相似性。黄河泥沙入渤海后总体朝向辽东湾西侧海岸扩散,而主要沉降区域是黄河口附近,且随着距离的增大,沉积通量迅速降低。模拟沉积速率一般在0.5~0.1 mm/年左右,与实际调查结果非常接近。海底地形等高线向渤海海盆西部、渤海湾南部,以及渤海海峡方向突出,也反映了泥沙通量的输送方向。从黄河入海泥沙悬移扩散过程的季节变化特征及其海底沉积效应来看,渤海海域泥沙悬移输运过程受潮汐动力、余流和和底层流场等因子的制约。除了黄河河口地区以外,各月悬浮泥沙高浓度区基本一致,集中分布在潮流能量最强的海域,潮流水平动能的大小与悬沙浓度大小分布基本一致。泥沙悬移输运方向与模拟获得的渤海三维风驱-潮致Lagrange余流的方向具有明显的相关关系,泥沙扩散的方向和强度明显受余流方向和强度的控制。     

黄河入海悬沙季节输送变化与输送机制的数值研究(英文)

Based on sediment and discharge flux data for the Yellow River, realistic forcing fields and bathymetry of the Bohai Sea, a suspended sediment transport module is driven by a wave-current coupled model to research seasonal variations and mechanisms of suspended load transport to the Bohai Sea. It could be concluded that surface sediment concentration indicates a distinct spatial distribution characteristic that varies seasonally in the Bohai Sea. Sediment concentration is rather high near the Yellow River estuary, seasonal variations of which are controlled by quantity of sediment from the Yellow River, suspended sediment concentration reaches its maximum during summer and fall. Furthermore, sediment concentration decreases rapidly in other seas far from the Yellow River estuary and maintains a very low level in the center of the Bohai Sea, and is dominated by seasonal variations of climatology wind field in the Bohai Sea. Only a small amount of sediments imported from the Yellow River are delivered northwestward to the southern coast of the Bohai Bay. Majority of sediments are transported southeastward to the Laizhou Bay, where sediments are continuously delivered into the center of the Bohai Sea in a northeastward direction, and part of them are transported eastward alongshore through the Bohai Strait. 69% of sediments from the Yellow River are deposited near the river delta, 31% conveyed seaward, within which, 4% exported to the northern Yellow Sea through the Bohai Strait. Wind wave is the most essential contributor to seasonal variations of sediment concentration in the Bohai Sea, and the contribution of tidal currents is also significant in shallow waters when wind speed is low.     

Numerical simulation on seasonal transport variations and mechanisms of suspended sediment discharged from the Yellow River to the Bohai Sea

Based on sediment and discharge flux data for the Yellow River, realistic forcing fields and bathymetry of the Bohai Sea, a suspended sediment transport module is driven by a wave-current coupled model to research seasonal variations and mechanisms of suspended load transport to the Bohai Sea. It could be concluded that surface sediment concentration indicates a distinct spatial distribution characteristic that varies seasonally in the Bohai Sea. Sediment concentration is rather high near the Yellow River estuary, seasonal variations of which are controlled by quantity of sediment from the Yellow River, suspended sediment concentration reaches its maximum during summer and fall. Furthermore, sediment concentration decreases rapidly in other seas far from the Yellow River estuary and maintains a very low level in the center of the Bohai Sea, and is dominated by seasonal variations of climatology wind field in the Bohai Sea. Only a small amount of sediments imported from the Yellow River are delivered northwestward to the southern coast of the Bohai Bay. Majority of sediments are transported southeastward to the Laizhou Bay, where sediments are continuously delivered into the center of the Bohai Sea in a northeastward direction, and part of them are transported eastward alongshore through the Bohai Strait. 69% of sediments from the Yellow River are deposited near the river delta, 31% conveyed seaward, within which, 4% exported to the northern Yellow Sea through the Bohai Strait. Wind wave is the most essential contributor to seasonal variations of sediment concentration in the Bohai Sea, and the contribution of tidal currents is also significant in shallow waters when wind speed is low.     

A model, study on seasonal spatial-temporal variability of the Lagrangian Residual Circulations in the Bohai Sea

1 IntroductionThe BohaiSea is a sem i-closed shallow sea w ith a m ean depth ofaround 20 m ,com posed oftheLiaodong Bay,the BohaiBay,the Laizhou Bay and the BohaiBasin,and connected to the N orthY ellow Sea through a latitudinal strait. The tidal dynam ic…     

A model study on seasonal spatial-temporal variability of the Lagrangian Residual Circulations in the Bohai Sea

The spatial distribution and seasonal variation of the tide-induced Lagrangian Residual Circulations (LRC hereafter), wind-driven LRC, and the coupling dynamic characteristics were simulated using ECOM, given the Hellerman and Rosenstein global monthly-mean wind stresses. The results showed that the tide-induced LRC of the harmonic constituent m2 bears an identical pattern in four seasons in the Bohai Sea: the surface one is weak with random directions; however, there exist a southeast current from the Bohai Strait to the Laizhou bay, and a weakly anticlockwise gyre in the south of the Bohai Strait for the bottom layer LRC. The magnitude of bottom layer tide-induced LRC is larger than the surface one, and moreover, it contributes significantly to the whole LRC in the Bohai Sea. Unlike the identical structure of the tide-induced LRC, the wind driven LRC varies seasonally under the prevailing monsoon. It forms a distinct gyre under the summer and winter monsoons in July and January respectively, but it seems weak and non-directional in April and September.     

渤海风驱-潮致Lagrange余流的数值模拟与季相时空变异

The spatial distribution and seasonal variation of the tide-induced Lagrangian Residual Circulations (LRC hereafter), wind-driven LRC, and the coupling dynamic characteristics were simulated using ECOM, given the Hellerman and Rosenstein global monthly-mean wind stresses. The results showed that the tide-induced LRC of the harmonic constituent M2 bears an identical pattern in four seasons in the Bohai Sea: the surface one is weak with random directions; however, there exist a southeast current from the Bohai Strait to the Laizhou bay, and a weakly anticlockwise gyre in the south of the Bohai Strait for the bottom layer LRC. The magnitude of bottom layer tide-induced LRC is larger than the surface one, and moreover, it contributes significantly to the whole LRC in the Bohai Sea. Unlike the identical structure of the tide-induced LRC, the wind driven LRC varies seasonally under the prevailing monsoon. It forms a distinct gyre under the summer and winter monsoons in July and January respectively, but it seems weak and non-directional in April and September.