Temporal and spatial changes of dunes in the Changjiang (Yangtze) estuary,China

The response of subaqueous dunes to the variation of riverine sediment supply in an estuary is rarely reported. Five sets of field measurements of bed sediments and topography were made in the Changjiang estuary, China during dry and flood seasons for the past 9 years. Results show that dunes were mainly three-dimensional (3D) during flood seasons and two-dimensional (2D) dunes during dry seasons. Dunes were also much larger in flood seasons. Dunes mainly occurred within the main channels of the estuary although they extended 11.7 km seaward of their normal extent in the South Channel during dry seasons from 2002 to 2006. This extension of the dune field is likely due to a sharp decline of sediment discharge caused by large reservoirs such as Three Gorges.     

泥浆在地层中的渗透特性试验研究

保持开挖孔（槽）的稳定性是泥浆在地下连续墙、钻孔灌注桩及泥水盾构工法等工程中最重要的作用,是通过泥浆在地层表面形成泥皮,使得泥浆压力平衡地层的土水压力实现的。其中,泥皮的形成是泥浆在地层中的渗透问题。为了探讨泥浆在地层中的渗透规律,采用多组性质不同的泥浆在多种渗透性不同的地层中开展泥浆在地层中的渗透试验,系统地展示了泥浆在地层中不同的渗透现象。渗透完成后泥浆颗粒在地层表面的堆积形态可以分为：泥皮型、泥皮+渗透带型、无泥皮或渗透带3种类型,并且泥浆在地层中的渗透曲线的类型与泥浆颗粒在地层表面的堆积形态的类型有一定的对应关系。泥浆在地层中的渗透试验过程中渗透流量的大小,不仅可以反映泥浆的渗透类型,还可以作为判断是否形成泥皮的标准。     

GPM/DPR雷达与CINRAD雷达降水探测对比

通过对比星载DPR雷达与地基CINRAD雷达的降雨测量值,评估星地雷达联合应用的潜力。为了提高对比的准确性,在尽可能高的时空分辨率下,以几何匹配与格点匹配相结合的方式,提取星地雷达降水样本数据。2015年6月30日降水过程的对比分析结果表明:泰州、常州CINRAD雷达反射率因子在两站中分剖面的平均值偏差0.94 dB,地基雷达之间有很好的一致性;在DPR雷达与常州、泰州CINRAD雷达同时覆盖的降雨区域,星地之间雷达反射率因子的平均值偏差分别为-1.2 dB和-1.6 dB,显示星地雷达也有较好的一致性;现有DPR雷达陆上衰减订正算法在缩小星地雷达偏差方面起到一定作用,平均订正量0.4 dB,只要回波覆盖充分,匹配样本的高度以及其到地基雷达的距离对对比结果没有明显影响,而衰减订正和匹配样本区回波覆盖率是影响星地雷达对比结果的重要因素。     

江淮流域夏季严重旱涝与大气季节内振荡

利用NCEP/NCAR的再分析资料和中国气象局国家气象中心提供的中国台站降水资料,分析研究了江淮流域大范围严重旱涝的20-70天大气季节内振荡(ISO)特征。结果表明,对应江淮流域严重涝年,200hPa青藏高原北部存在ISO气旋性环流,青藏高原南部存在ISO反气旋性环流;大气ISO流型在对流层中低层850hPa主要是我国长江以南、南海和西太平洋地区为大气ISO反气旋性环流,我国长江以北到日本地区的大气ISO气旋性环流,我国江淮流域位于这两个ISO涡旋西侧偏南气流和偏北气流的交汇处;旱年反之。利用向量经验正交展开方法得到,上述大气ISO环流型分别是旱涝年大气ISO流型的第一模态,并且涝年大气ISO流型的振幅强,旱年振幅弱。进一步分析揭示,严重洪涝(干旱)年分别对应对流层中上层江淮流域及其以北的中高纬度地区有强(弱)的大气ISO活动。中高纬度地区的大气ISO在严重洪涝年向南传播,与低纬度向北传播的大气ISO在江淮流域汇合;而在严重干旱年,虽然大气ISO可向北传播,但向南的传播却很不明显。     

皖江一次大暴雨多普勒天气雷达回波分析

利用合肥多普勒天气雷达回波和各种常规资料,对2010年梅雨期皖江一次大暴雨天气过程的雷达回波进行分析,探讨短时大暴雨的回波特征。结果表明：有利的大尺度环流,充足的水汽条件和较强的上升运动是产生强降水有利的天气背景。雷达资料分析发现形成此次皖江暴雨的源地位于大别山区,强降水是由局地发展的对流回波加强合并产生的,回波的发生和发展加强常常与风场的局地强辐合区（逆风区）相联系,雨带在中低空切变线上合并加强,强降水区域尺度较大,单体回波移向和雨带走向一致,回波移动缓慢或呈准静止状态,累积雨量大,易于形成暴雨。     

Efficient conceptual model for simulating the effect of aquifer heterogeneity on natural groundwater discharge to rivers

When linearity can be assumed (linear response of heads to stresses), stream–aquifer flow exchange can be simulated as the drainage of a number of independent linear reservoirs. This conceptual model, which can be mathematically deduced in a univocal way from an eigenvalue solution of the linear groundwater flow problem, facilitates the understanding of the physical phenomenon and the analysis of influencing factors. The number of reservoirs required to simulate stream depletion in some ideal homogeneous cases of stream–aquifer connection was analyzed in detail in a previous investigation using analytical eigenvalue solutions [16]. However, most aquifers are heterogeneous in nature and numerical solutions must be employed to analyze whether they could also be simulated using few reservoirs. This paper presents a stochastic analysis of the influence of heterogeneity on the simulation of natural groundwater discharges in aquifers connected to rivers, as a series of linear reservoirs. A Monte-Carlo approach was employed to perform this study. The results show that, on a monthly time scale, many cases (even heterogeneous aquifers) can be simulated using just a few reservoirs with sufficient accuracy and at minimum computational cost. Therefore, this modeling technique can be useful to efficiently simulate the integrated management of complex water resources systems at the basin scale (with many aquifers, reservoirs, demands, etc.) that need to simultaneously consider surface and groundwater flow and stream–aquifer interaction.     

雅鲁藏布江丰水期河水离子组成特征及其控制因素

为了解雅鲁藏布江丰水期河水离子组成特征及其控制因素,利用2015年采集的8个河水水样,运用数理统计、聚类分析、Piper三线图、Gibbs模型以及离子比值等方法,分析了雅鲁藏布江丰水期河水水化学特征,并探讨了其主要控制因素。结果表明：河水中阳离子以Ca²⁺、Mg²⁺为主,阴离子则以HCO₃^-和SO₄^2-为主,阴、阳离子分别约占其总量的96%和85%。河水水化学类型均为HCO₃·SO₄-Ca·Mg型。TDS含量介于202.46~371.27 mg·L^-1,均值为299.30 mg·L^-1,较世界河流平均值高。自上至下,河水水化学特征表现出一定的差异性,河水中主要离子以及TDS、TH、EC的含量沿程表现出下降的趋势,其原因主要有支流河水汇入和降水增加的稀释作用。河水水样均落在Gibbs模型图中部偏左,表明河水中主要离子化学组分主要受水岩作用控制。离子比值法分析表明研究区碳酸盐岩以及蒸发岩的风化溶解是河水水化学的主要控制因素,且存在硅酸盐类矿物的风化。     

杭州市典型雨转雪天气成因及预报模型

利用2008—2018年的NCEP(1°×1°)再分析资料、常规气象观测资料和降雪加密观测资料,选出杭州地区10次典型的雨转雪天气过程,从大尺度环流背景和动力、水汽以及热力因子等物理量场结构方面展开研究,最终得出杭州冬季典型雨转雪天气的预报模型:①大尺度环流配置需满足能为雨转雪天气的形成提供有利的水汽、动力抬升以及中低层上暖下冷的逆温或等温层结条件;②水汽和动力因子等物理量须满足产生纯雪的特定条件;③杭州温度层结须为T_(2m)≤1.5℃、T_(925)≤-4.0℃、T_(850)≤0℃、T_(700)≤-1.0℃和T_(500)≤-10.0℃。此外,进一步补充了杭州可能产生大雪甚至暴雪量级降雪的特定条件。最终选取2019年初的2次典型降水过程进行预报回报检验。     

Influence of Temporal Variations in River Discharge, pH, Alkalinity and Ca on the Speciation and Concentration of Heavy Metals in Some Mining Polluted Rivers

Dissolved (dialysis in situ) and total concentrations ofCu, Zn, Cd and Al in eight mining polluted rivers in the Røros area, central Norway, were determinedby atomic absorption spectrometry (flame and graphite furnace) and compared to pH, Caconcentration and alkalinity through seasonal variations in river discharge. Totalconcentrations of the metals were highest during early spring flood and during summer andautumn rain episodes. Dissolved concentrations also increased as the spring floodproceeded, but small discharge peaks within this 2 month period as well as a considerableautumn flood episode appeared to lower rather than to raise the dissolved metal concentrations.Consequently the dissolved fractions of Zn, Cd and Al showed a significant negative correlationwith river discharge, and were low at the discharge peaks. Possibly high sediment concentrationsoccurring at high flood conditions more than counteracted desorption induced by pHdecrease, and led to decreased dissolved fractions through adsorption. Cu speciationon the other hand seemed to be more closely linked to pH. Alkalinity and Ca concentration,both assumed to protect aquatic life from metal pollution, were significantly lowerduring episodes with high Cu and Al total concentrations.     

地下水机器学习方法研究

随着我国地下水监测工作的高速发展,高频率高密度水位监测数据的出现催生了对其进行深入信息挖掘的需求。在传统地下水模型研究中,地下水水位监测值常位于模型构建过程的下游,当水位监测的时空密度逐渐增大时,新增信息无法有效传导至模型的规划阶段并指导概念模型的修订。文章提出了一种地下水系统补排边界的识别方法,在不建立地下水数值模型的前提下,以监测井空间位置为节点,按照德劳内原则建立三角网格。在此网格系统中,首先定义一个水力梯度变换函数gradF,以求取网格中任意位置的水力梯度;借鉴机器学习领域的优化算法,使用水力梯度场驱动含水层中随机分布质点的运行轨迹,并以此推断和识别区域内地下水补给和排泄边界。在环境地学计算平台EnviFusion-CGS中实现,并构建了详细工作流程。以山东省青岛市大沽河中下游含水层为示范区,对含水系统的补给区和排泄区的空间分布及其动态变化进行了分析,取得了良好效果。本研究为构建和修订已有含水层概念模型提供了新思路。