Using time‐domain reflectometry to characterize shallow solute transport in an oak woodland hillslope in northern California,USA

The natural heterogeneity of water and solute movement in hillslope soils makes it difficult to accurately characterize the transport of surface‐applied pollutants without first gathering spatially distributed hydrological data. This study examined the application of time‐domain reflectometry (TDR) to measure solute transport in hillslopes. Three different plot designs were used to examine the transport of a conservative tracer in the first 50 cm of a moderately sloping soil. In the first plot, which was designed to examine spatial variability in vertical transport in a 1·2 m² plot, a single probe per meter was found to adequately characterize vertical solute travel times. In addition, a dye and excavation study in this plot revealed lateral preferential flow in small macropores and a transport pattern where solute is focused vertically into preferential flow pathways. The bypass flow delivers solute deeper in the soil, where lateral flow occurs. The second plot, designed to capture both vertical and lateral flow, provided additional evidence confirming the flow patterns identified in the excavation of the first plot. The third plot was designed to examine lateral flow and once again preferential flow of the tracer was observed. In one instance rapid solute transport in this plot was estimated to occur in as little as 3% of the available pore space. Finally, it was demonstrated that the soil anisotropy, although partially responsible for lateral subsurface transport, may also homogenize the transport response across the hillslope by decreasing vertical solute spreading. Copyright © 2002 John Wiley & Sons, Ltd.     

Numerical determination of pressure-dependent effective thermal conductivity in Berea sandstone

In this paper, the methods of digital rock physics are applied to determine pressure-dependent effective thermal conductivity in rock samples. Simulations are performed with an in-house three-dimensional finite volume code. In the first step, four numerical models are derived from a given tomographic scan of Berea sandstone. Consequently, simulations of the thermal conductivity at ambient conditions are performed and validated with experimental data. In a second step, a new workflow for the determination of the pressure-dependent thermal conductivity in rock samples is elaborated, tested and calibrated. Results originating from the derived workflow show very good agreement with experimental data.     

雄安新区D01井岩溶热储下伏太古界中热流测定研究

【研究目的】目前雄安新区范围内的热流数据多测自于新近系沉积盖层及白云岩地层,对岩溶热储下伏太古界的热流测定研究还鲜见报道,主要受限于以往的地热勘查开发层位主要在1800m以浅的蓟县系岩溶热储,揭露岩溶热储下伏太古界的钻孔稀少。2018年以来,在雄安新区牛驼镇地热田实施了D01深部地热参数井,揭穿了高于庄组岩溶热储,并揭露太古界厚度达1723.67m,给该地区岩溶热储下伏太古界的热流测定研究提供了条件。【研究方法】本文基于近稳态钻孔测温及岩心热导率测试,对D01井太古界进行了热流测定及分析。【研究结果】结果表明：D01井太古界呈显著的传导型地温特征,地温梯度为18.3℃/km,相比于新近系地温梯度48.6℃/km偏低。测得25块D01井太古界片麻岩岩心样品的热导率平均值为（2.41±0.40）W/(K·m)。根据钻孔测温数据及热导率测试,计算出D01井太古界2300～2700m深度的热流值为（44.1±7.0）mW/m²。同时,估算了D01井新近系400～800m深度段的热流值为84.6mW/m²,较太古界高出40.5mW/m²。【结论】分析认为D01井新近系较太古界高出热流主要为高孔渗岩溶白云岩层中地下水侧向热对流作用以及牛东断裂地下水垂向热对流作用共同所致。研究结果对前人提出的地下水运移聚热模式及导热断裂聚热模式提供了数据支撑,对雄安新区深部地热资源成因机制和太古界地温场研究具有重要意义。     

帽峰山地区典型小流域主要森林类型土壤渗透性

采集帽峰山地区典型小流域主要林地类型(青冈林、毛竹林、凤尾竹林、桉树林)原状土样进行土壤剖面(0~20 cm、20~40 cm、40~60 cm)渗透系数及其相关因子的实验研究,结果表明:各种林地类型土壤渗透系数在剖面上均表现出从上到下递减的特点,毛竹、青冈、凤尾竹、桉树林的土壤剖面渗透系数变化范围分别为13.64~4.91、10.49~3.63、8.16~2.96、7.92~3.71 m/d。由于20~40 cm、40~60 cm土层渗透系数差异性相对较小,土壤渗透性剖面可简化为上、下两个亚层,上部亚层渗透系数是下部亚层的1.89~2.42倍。各种林地类型土壤渗透系数与孔隙度、根密度呈正相关,与干容重呈负相关,与根径关系相关性方向具有不确定性。不同林地类型土壤渗透系数与干容重、根密度、根径之间的相关程度存在较大差异,但均表现出与孔隙度之间存在良好相关性。     

WiFi-PDR室内组合定位的无迹卡尔曼滤波算法

针对当前室内定位的应用需求和亟待解决的关键问题,结合城市室内环境下广泛存在的WiFi无线信号以及智能手机传感器信息,提出了一种WiFi无线信号联合行人航迹推算(PDR)的室内定位方法。该方法采用无迹卡尔曼滤波(UKF)算法对WiFi和PDR定位信息进行融合处理,有效克服了WiFi单点定位精度低和PDR存在累计误差的问题。针对融合算法中WiFi指纹匹配计算量大的问题,用k-means聚类算法对WiFi指纹库进行聚类处理,降低了指纹匹配算法的计算量,提高了算法的实时性。通过在华为P6-U06智能手机平台上实际测试,在时间效率上经过聚类处理后系统定位耗时有很大程度的改善,平均降幅为51%,其中最大降幅达到64%,最小的也达到了36%;在定位精度上,当室内人员为行走状态时WiFi定位平均误差为7.76m,PDR定位平均误差为4.57m,UKF滤波融合后平均定位误差下降到1.24m。     

无人机红外传感器改制及数据获取研究

针对云雾复杂气候条件下无人机可见光影像难以获取的问题,文章在分析了地质灾害应急遥感监测伴随的复杂气候条件的基础上,根据目前无人机传感器的构造原理,通过对各种红外滤片的分析和比较,研究基于红外滤片元器件的无人机传感器红外改制技术和红外影像数据增强方法,对航摄传感器进行红外改装。实验结果表明,无人机红外传感器在多云雾条件下能够获取高精度清晰影像,有效解决云雾条件下地质灾害应急数据获取难题,为地质灾害应急决策提供参考。     

1993—2004年华东部分地区酸雨的时空分布特征及其与气象条件的关系

分析华东地区15个酸雨观测站的1993—2004年数据资料,结果显示华东地区的酸雨灾害在全国范围内较为严重,其中以长江以南的浙江、福建地区尤为突出.1993—2004年华东地区降水的酸度呈现出先减轻后加重的趋势.降水量是影响华东酸雨的电导率和pH值的重要因素.pH值季节变化由高到低为夏、秋、冬、春,酸雨频率随季节的变化不显著.对同期15个观测站的电导率变化的分析显示,12年间华东地区降水的电导率呈现先稳定后变幅增大的趋势,降水酸度和电导率的年际变化存在显著的正相关关系.应当对影响降水酸度和电导率的相关大气成分加强监测与研究.