Inversion of a Lagrangian time domain random walk (TDRW) approach to one-dimensional transport by derivation of the analytical sensitivities to parameters

Lagrangian approaches are well suited to transport in contrasted media but have been considered irrelevant when inversion is envisioned. The randomness of results for the same transport scenario adds to the rough evaluation by perturbation of the sensitivities, yielding an inaccurate search of parameters. It is shown here how a Time Domain Random Walk (TDRW) method can be inverted by deriving the sensitivities analytically. The calculations are very rapid and provide a precise evaluation of the descent directions followed by a Gauss–Newton optimizer. The method handles advection–dispersion + retention by matrix diffusion or sorption with first-order kinetics and proves its worth in all cases. Since analytical sensitivities are available, calculations are rigorous and allow discussing the inversion feasibility, the accuracy of the sought parameters, according to the predominant mechanism involved in the transport scenario.     

A Dynamic Model to Simulate Arsenic,Lead, and Mercury Contamination in the Terrestrial Environment During Extreme Floods of Rivers

Beside damages of infrastructure in industrial regions, extreme floods can cause contamination with particle‐bound pollutants, e. g., due to erosion of soils and sediments. In order to predict contamination with inorganic pollutants, the transport and fate of arsenic, lead, and mercury during a fictive flood event of River Vereinigte Mulde in the region of Bitterfeld (Germany) with 200 years recurrence time was modeled. The finite element model system Telemac2D, which is subdivided into a hydrodynamic (Telemac‐2D), a transport (Subief‐2D), and a water quality module (wq2subief) was applied. The transport and water quality model models were calibrated using results of sediment trap exposures in the floodplain of River Vereinigte Mulde. Model results exhibited that the spatial patterns of particle‐associated arsenic and lead concentrations significantly changed. Extended, mostly agriculturally used areas showed arsenic and lead concentrations between 150 and 200 mg kg^–1 and 250 and 300 mg kg^–1, respectively, while urban areas were to a great extent spared from high contamination with arsenic and lead. Concentrations of particle‐associated mercury showed a pattern distinct from those of arsenic and lead. Outside of small patches with concentrations up to 63 mg kg^–1, concentrations of particle‐associated mercury remained close to zero. Differences in the spatial patterns of the three pollutants regarded mainly arise from significantly different initial and boundary conditions. Sensitivity analyses of initial and boundary conditions revealed a high sensitivity of particle‐bound pollutant concentrations, whereas the sensitivities of concentrations of suspended sediments and soluble pollutants were mediocre to negligible.     

A Dynamic Model to Simulate Spills of Fuel and Diesel Oil in the Terrestrial Environment during Extreme Fluvial Floods

Extreme fluvial floods may cause severe contamination with fuel oil and diesel, originating from gasoline pipes and tanks in private households and industrial areas, respectively. Geo‐referenced oil spills in the region of Bitterfeld (Germany) after extreme flood events, such as in August 2002, were simulated using the two‐dimensional (2D) Finite Element model system Telemac2D, which is subdivided into a hydrodynamic (Telemac‐2D) and a transport module (Subief2D). Fuel oil settled via adhesion showed a thickness of less than 1.0 mm. Fuel oil concentrations on the flood wave amounted up to 80 g m^–3 in the vicinity of the point sources. At a distance of several hundred meters downstream of the point sources, the fuel oil concentrations were calculated to be zero. Settled areas were only partially contaminated with fuel oil. While one village experienced severe oil contamination, the town of Bitterfeld was almost unaffected by oil spills. It was demonstrated that the 2D transport model applied is capable of simulating fuel oil spills during extreme high waters in the terrestrial environment. Such simulations of fuel oil spills will feed into a GIS‐based decision support system of flood protection.     

Choice Modeler: A Web-based Spatial Multiple Criteria Evaluation Tool

This article presents a concept of a Web-based spatial multiple criteria evaluation tool for individual and group use called Choice Modeler (CM). CM was originally conceived as part of a larger Participatory Geographic Information System for Transportation project (PGIST; http://www.pgist.org ) aimed at developing and evaluating Internet-hosted capabilities to support participatory decision processes. CM is designed to be either a part of a larger information system such as PGIST or a standalone tool used for evaluation of decision variants. The decision support functions provided by CM aid in reducing the cognitive complexity of the decision space characterized by multiple decision options, evaluation criteria, and criterion weights. This is achieved by incorporating in CM the sensitivity analysis functions for the identification of criteria that do not influence the decision option ranking. Users can remove such criteria from further consideration and thus lessen the cognitive burden of evaluation, which may be essential in multi-stakeholder participatory decision processes. The additional capabilities of CM include a vote aggregation function to collate individual option rankings into a group ranking, and measures of agreement/disagreement to inform the participants about a group-derived desirability of specific decision options. The design of CM was implemented using Web-service architecture. In the article we describe the design of CM and discuss its advantages and limitations.     

尼泊尔波迪科西水利枢纽三维渗流分析

针对尼泊尔波迪科西水电工程首部枢纽布置和软土坝基的岩性条件和渗透特征 ,通过对混凝土防渗墙深度、灌浆帷幕长度、混凝土渗透性、地基渗透性的敏感性分析 ,确定出防渗墙和防渗帷幕的优化方案 ,并对三种库水位工况下的三维渗流场进行了详细的计算分析 ,为工程优化设计提供依据.     

陆面参数的扰动对一次西北暴雨模拟影响的研究

利用中尺度模式WRFV2．2及NCEPFNL资料,模拟了2007年6月16—17日的兰州暴雨,检验此次暴雨模拟对NOAH陆面模式参数初始扰动的敏感性。结果表明,此次模拟暴雨对陆面参数的扰动（如土壤孔隙度以及地表反照率的扰动）比较敏感;陆面参数扰动对此次暴雨模拟影响的最小时间尺度小于10h;陆面参数的扰动直接引起地表通量的变化,更为重要的是通过改变水汽输送的环流形势,从而对暴雨模拟产生较大的影响。     

初至波菲涅尔体地震层析成像

根据地震波传播的有限频理论,对于某个特定震相的观测信息,不仅射线路径上的点对该信息具有影响,射线领域上的其他点对接收信息也具有影响,这种影响可以用核函数来表达.本文基于波动方程的Born近似与Rytov近似,给出了非均匀介质情况下初至地震波振幅与走时菲涅尔体层析成像单频、带限层析核函数的计算方法.通过对均匀介质情况下初至地震波菲涅尔体层析成像核函数解析表达式的理论模型实验与分析,给出了不同维度振幅、走时单频菲涅尔体的空间分布范围,进而给出了带限菲涅尔体边界的确定方法.将本文的走时菲涅尔体层析成像理论应用于表层速度结构反演中,理论模型试验与实际资料处理结果表明,初至波菲涅尔体地震层析成像方法比传统的初至波射线层析成像理论具有更高的反演精度.     

地表动量通量对一次华南前汛期降水影响的数值模拟

利用ARPS模式,对一次华南前汛期锋面降水进行了数值模拟和敏感性试验,探讨了动量通量对降水的影响机制。结果表明,去掉地表动量通量对降水率可产生正、反两方面的影响,并大致可分为两个阶段,在积分的前一阶段,动量通量为零区域上空的急流核风速增大,其左前方的辐合区和涡度的强度也相应增大,从而导致降水率增大;而在后一阶段,动量通量为零的区域上空埃克曼抽吸减弱,边界层内的辐合强度和垂直上升运动也相应减弱,从而导致降水率减小。     

A GCM Study on the Mechanism of Seasonal Abrupt Changes

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