Origin and Evolution of Aquitard Porewater in the Western Coastal Plain of Bohai Bay,China

High‐salinity paleowater from low‐permeability aquitards in coastal areas can be a major threat to groundwater resources; however, such water has rarely been studied. The chemical and isotopic compositions of porewater extracted from a 200‐m‐thick Quaternary sedimentary sequence in the western coastal plain of Bohai Bay, China, were analyzed to investigate the salinity origin and chemical evolution of porewater in aquitards. Porewater samples derived at depths shallower than 32 m are characterized by Cl‐Na type saline water (total dissolved solids [TDS], 10.9–84.3 g/L), whereas those at depths greater than 32 m comprise Cl·SO₄‐Na type brackish water (TDS, 2.2–6.3 g/L). Saline porewater is interpreted as evaporated seawater prior to halite saturation, as evidenced by Cl‐Br relationships. Although substantial dilution of saline porewater with meteoric water is supported by a wider Cl^? range and δ²H‐δ¹⁸O covariance, the original marine waters were not completely flushed out. The deeper brackish porewater is determined to be a mixture of fresher porewater and brine groundwater and had a component of old brine of less than 10%, as indicated by a mixing model defined using δ²H and Cl^? tracers. Porewater δ²H‐δ¹⁸O relationships and negative deuterium excess ranging from ?25.9‰ to ?2.9‰ indicate the existence of an arid climate since Late Pleistocene in Tianjin Plain. The aquitard porewaters were chemically modified through water‐rock interactions due to the long residence time.     

平湖油气田凝析油回注油藏对开发效果影响机理研究

凝析油回注油藏是平湖油气田开发过程中为应对海底输油管线而采取的一种工程应急措施。凝析油回注油藏会引起油层内流体渗流特征的变化，并进而影响油井恢复生产后的开发指标。从室内物理模拟实验和油藏数值模拟两方面开展凝析油回注油藏的影响效果分析，并根据研究结果提出合理的回注方式，不仅从机理上为解决海上油气田开发工程中所遇类似突发事件的处理提供了依据，而且在物理模拟实验和油藏数值模拟研究相结合对油藏基础研究方面提供一些重要的结论。     

基于自由振动响应的基础隔震建筑减震能力评估方法研究

目前国内外已修建完成了大量隔震建筑,但仅有少量经受了地震检验,绝大部分隔震结构减震能力能否达到设计目标尚存疑问.本文针对基础隔震建筑,提出了一种基于自由振动响应的减震能力评估方法.首先,对隔震建筑进行多级幅值初位移自由振动原位试验,获取结构的抗震能力曲线;其次,根据地震反应谱建立地震需求曲面,进而确定隔震结构性能点;最...     

Comparison of parameter uncertainty analysis techniques for a TOPMODEL application

Parameter uncertainty in hydrologic modeling is crucial to the flood simulation and forecasting. The Bayesian approach allows one to estimate parameters according to prior expert knowledge as well as observational data about model parameter values. This study assesses the performance of two popular uncertainty analysis (UA) techniques, i.e., generalized likelihood uncertainty estimation (GLUE) and Bayesian method implemented with the Markov chain Monte Carlo sampling algorithm, in evaluating model parameter uncertainty in flood simulations. These two methods were applied to the semi-distributed Topographic hydrologic model (TOPMODEL) that includes five parameters. A case study was carried out for a small humid catchment in the southeastern China. The performance assessment of the GLUE and Bayesian methods were conducted with advanced tools suited for probabilistic simulations of continuous variables such as streamflow. Graphical tools and scalar metrics were used to test several attributes of the simulation quality of selected flood events: deterministic accuracy and the accuracy of 95 % prediction probability uncertainty band (95PPU). Sensitivity analysis was conducted to identify sensitive parameters that largely affect the model output results. Subsequently, the GLUE and Bayesian methods were used to analyze the uncertainty of sensitive parameters and further to produce their posterior distributions. Based on their posterior parameter samples, TOPMODEL’s simulations and the corresponding UA results were conducted. Results show that the form of exponential decline in conductivity and the overland flow routing velocity were sensitive parameters in TOPMODEL in our case. Small changes in these two parameters would lead to large differences in flood simulation results. Results also suggest that, for both UA techniques, most of streamflow observations were bracketed by 95PPU with the containing ratio value larger than 80 %. In comparison, GLUE gave narrower prediction uncertainty bands than the Bayesian method. It was found that the mode estimates of parameter posterior distributions are suitable to result in better performance of deterministic outputs than the 50 % percentiles for both the GLUE and Bayesian analyses. In addition, the simulation results calibrated with Rosenbrock optimization algorithm show a better agreement with the observations than the UA’s 50 % percentiles but slightly worse than the hydrographs from the mode estimates. The results clearly emphasize the importance of using model uncertainty diagnostic approaches in flood simulations.     

MoisturEC: A New R Program for Moisture Content Estimation from Electrical Conductivity Data

Noninvasive geophysical estimation of soil moisture has potential to improve understanding of flow in the unsaturated zone for problems involving agricultural management, aquifer recharge, and optimization of landfill design and operations. In principle, several geophysical techniques (e.g., electrical resistivity, electromagnetic induction, and nuclear magnetic resonance) offer insight into soil moisture, but data‐analysis tools are needed to “translate” geophysical results into estimates of soil moisture, consistent with (1) the uncertainty of this translation and (2) direct measurements of moisture. Although geostatistical frameworks exist for this purpose, straightforward and user‐friendly tools are required to fully capitalize on the potential of geophysical information for soil‐moisture estimation. Here, we present MoisturEC, a simple R program with a graphical user interface to convert measurements or images of electrical conductivity (EC) to soil moisture. Input includes EC values, point moisture estimates, and definition of either Archie parameters (based on experimental or literature values) or empirical data of moisture vs. EC. The program produces two‐ and three‐dimensional images of moisture based on available EC and direct measurements of moisture, interpolating between measurement locations using a Tikhonov regularization approach.     

热带中东大西洋海域大青鲨繁殖生物学研究

大青鲨在海洋生态系统中处于重要的地位,研究其繁殖生物学有助于人们更好地理解大青鲨的资源状况。本文根据2007年12月-2008年3月采集的热带中东大西洋海域金枪鱼延绳钓兼捕大青鲨样本,对大青鲨的繁殖生物学特征进行了研究。雌雄大青鲨平均全长分别为248cm和260cm,雄性大青鲨全长分布显著大于雌性大青鲨(P<0.01);获得的雌雄大青鲨都处于性成熟状态,大青鲨成体及胎儿雌雄性比都符合1∶1,雄性大青鲨精巢和总性腺重量均随鱼体全长的增加而增加(P<0.01),而雌性大青鲨卵巢重随鱼体全长变化不大(P>0.05),总性腺重量随鱼体全长的增加而增加(P<0.05);鳍脚长度和雄性大青鲨全长关系线性显著(P<0.01),卵壳腺宽度随雌性大青鲨全长而增加(P<0.05);雌性大青鲨怀胎儿数3～50尾,平均33尾,怀胎儿数随雌性大青鲨全长的略有增加趋势(P=0.39),大青鲨胎儿的平均全长为22.3cm,胎儿的平均体重为61.9g,胎儿全长(TL)与胎儿体重(RW)关系呈对数线性显著(P<0.01),其关系方程为:RW=0.051×TL2.180。结果可为我国参与国际鲨鱼养护与管理,评价热带大西洋公海海域大青鲨种群数量变动提供基础生物学数据。     

复杂环境条件下地铁降水回灌系统设计与研究

针对北京市地铁丰益桥南站和丰益桥南站—终点区间施工降水回灌场地周边复杂环境,基于抽水试验、场地回灌试验、周边回灌试验等,从回灌池的深度、回灌井的深度、单井回灌水量、回灌井布置等方面设计了回灌系统.分别采用解析法和数值法检验了回灌系统方案的合理性,最终确定了以84眼小口径井和1眼大口井进行补充的回灌方案能满足施工降水排水需求.经实际运行显示,系统回灌总量7261×104 m3,实现了地铁降水排水100％资源性回灌.     

Hydrologic response of engineered media in living roofs and bioretention to large rainfalls: experiments and modeling

The hydrologic response of engineered media plays an important role in determining a stormwater control measure's ability to reduce runoff volume, flow rate, timing, and pollutant loads. Five engineered media, typical of living roof and bioretention stormwater control measures, were investigated in laboratory column experiments for their hydrologic responses to steady, large inflow rates. The inflow, medium water content response, and outflow were all measured. The water flow mechanism (uniform flow vs. preferential flow) was investigated by analyzing medium water content response in terms of timing, magnitude, and sequence with depth. Modeling the hydrologic process was conducted in the HYDRUS‐1D software, applying the Richards equation for uniform flow modeling, and a mobile–immobile model for preferential flow modeling. Uniform flow existed in most cases, including all initially dry living roof media with bimodal pore size distributions and one bioretention medium with unimodal pore size distribution. The Richards equation can predict the outflow hydrograph reasonably well for uniform flow conditions when medium hydraulic properties are adequately represented by appropriate functions. Preferential flow was found in two media with bimodal pore size distributions. The occurrence of preferential flow is more likely due to the interaction between the bimodal pore structure and the initial water content rather than the large inflow rate.     

基于GIS技术的"数字油田"建设与应用

石油石化工业是我国的支柱能源工业,石油石化企业的信息化不仅需求迫切,且因其研究对象是地下流动的物体而变得极其复杂：油田是其企业的主体和利润的主要来源,“数字油田”的建设是石油石化企业信息化成功的关键,由于油田一般空间跨度大、地上地下资料多而复杂,GIS技术是“数字油田”建设的关键技术;现主要介绍基于GIS技术建设“数字油田”的技术、方法和应用。     

浙江省海宁市TM图像土地利用自动分类精度评价方法的试验研究

按照国家土管局土地利用现状分类标准,利用叠合的海宁市长安镇１∶１万同时期土地详查电子地图的全域地面实况数据,在遥感图像处理常规分类方法的范畴内,采取最大程度利于提高分类精度的措施,所得的分类精度上限为６５％。研究表明,通常在试验区的小块局部中选择训练样本和选择评价分类精度的参考像元,对精度评价有显著影响,参考像元质量和数量的限制很可能是这些年来一些同类研究报道了较高分类精度结果的主要原因