Polynomial Surrogates for Open-Channel Flows in Random Steady State

Assessing epistemic uncertainties is considered as a milestone for improving numerical predictions of a dynamical system. In hydrodynamics, uncertainties in input parameters translate into uncertainties in simulated water levels through the shallow water equations. We investigate the ability of generalized polynomial chaos (gPC) surrogate to evaluate the probabilistic features of water level simulated by a 1-D hydraulic model (MASCARET) with the same accuracy as a classical Monte Carlo method but at a reduced computational cost. This study highlights that the water level probability density function and covariance matrix are better estimated with the polynomial surrogate model than with a Monte Carlo approach on the forward model given a limited budget of MASCARET evaluations. The gPC-surrogate performance is first assessed on an idealized channel with uniform geometry and then applied on the more realistic case of the Garonne River (France) for which a global sensitivity analysis using sparse least-angle regression was performed to reduce the size of the stochastic problem. For both cases, Galerkin projection approximation coupled to Gaussian quadrature that involves a limited number of forward model evaluations is compared with least-square regression for computing the coefficients when the surrogate is parameterized with respect to the local friction coefficient and the upstream discharge. The results showed that a gPC-surrogate with total polynomial degree equal to 6 requiring 49 forward model evaluations is sufficient to represent the water level distribution (in the sense of the \(\ell _2\) norm), the probability density function and the water level covariance matrix for further use in the framework of data assimilation. In locations where the flow dynamics is more complex due to bathymetry, a higher polynomial degree is needed to retrieve the water level distribution. The use of a surrogate is thus a promising strategy for uncertainty quantification studies in open-channel flows and should be extended to unsteady flows. It also paves the way toward cost-effective ensemble-based data assimilation for flood forecasting and water resource management.     

T酸一次洗水初步处理的研究

采用重氮化－偶合－混凝沉淀和重氮化－混凝沉淀两种方法对Ｔ酸一次洗水的初步处理进步了研究。Ｔ酸一次洗水经两种方法处理后,ＣＯＤ去除率分别为６１．３％、５０．５％,色度去除率分别为７４．６％、７１％。     

Recovery of silicon powder from kerf loss slurry waste using superconducting high gradient magnetic separation technology

A major challenge in recycling of silicon powder from kerf loss slurry waste is the complete removal of metal particles. The traditional acid leaching method is costly and not green. In this paper, a novel approach to recover high-purity Si from the kerf loss slurry waste of solar grade silicon was investigated. The metal impurities were removed with superconducting high gradient magnetic separation technology. The effects of process parameters such as magnetic flux density, slurry density, and slurry flow velocity on the removal efficiency were investigated, and the parameters were optimized. In one lot of control experiments, the silicon content was increased from 90.91 to 95.83%, iron content reduced from 3.24 to 0.57%, and aluminum content from 2.44 to 1.51% under the optimum conditions of magnetic flux density of 4.0 T, slurry density of 20 g/L, and slurry flow velocity of 500 mL/min. The result indicates that the superconducting high gradient magnetic separation technology is a feasible purifying method, and the magnetic separation concentrate could be used as an intermediate product for high-purity Si powder.

     

IC反应器处理MTO废水的中试研究

中试研究了内循环(IC)反应器处理甲醇制烯烃(MTO)废水的启动和运行过程,同时考察了颗粒污泥的性状及沼气产量的变化情况。试验过程运行稳定,系统抗冲击性强。以絮状污泥为接种污泥,经过131 d的启动和运行,IC反应器的COD去除负荷可达10 kg/(m~3·d)以上,COD去除率可达90%以上。IC反应器中的成熟颗粒污泥形状规则、密实、粒径大、沉降速率快。IC反应器的沼气产量符合理论预期。     

多溴联苯醚暴露的神经行为效应及其毒理机制

溴代阻燃剂多溴联苯醚(PBDEs)是一类在各类环境介质、生物体和人体中均能检出的普遍存在的环境污染物。我国的主要污染源之一集中于东南部地区的电子废弃物回收场地。由于PBDEs具有结构稳定性、亲脂性和生物累积性,电子废弃物拆解回收活动对当地生态系统和居民健康存在着巨大的潜在风险。PBDEs的发育神经毒性受到研究者的极大关注,但其神经行为毒性效应和机制仍需深入研究。行为学效应既是内在神经毒性机制的外在反映,也是推测环境污染物在高级别生物学水平(如种群、群落)影响的最有力试验手段。近年来,基于视频追踪系统技术的商业行为学分析设备迅速发展,使行为学效应测试在环境毒理学领域具备极大的潜力。本文结合近年来国内外环境毒理学研究进展,回顾了PBDEs的神经行为毒性效应,包括运动行为、掠食行为和认知行为,并分析了其可能的毒理机制,最后总结了当前研究存在的问题和未来研究需要关注的重点方向。     

赤霉酸暴露对SD大鼠青春期发育的影响

赤霉酸是目前国内外使用极其广泛的一种植物生长调节剂,但是针对其发育毒性的数据依然较少。本文探讨了赤霉酸暴露对SD大鼠青春期发育的影响。参考国内外环境内分泌干扰物危害的评价方法,将144只初断乳SD大鼠按体重随机分为4组,分别为对照组和1、10、100 mg·kg-1bw剂量组,采用经口灌胃方式对雄鼠连续染毒28 d,雌鼠连续染毒21 d。暴露结束后检测大鼠的体重、食物利用率、雄鼠包皮分离时间/雌鼠阴道开口时间、血清生化指标、脏器系数及组织病理学的变化。研究结果表明,与对照组相比,仅10和100 mg·kg-1bw剂量组雄鼠的肌酐水平显著升高(P<0.01),100 mg·kg-1bw剂量组雌鼠谷丙转氨酶水平有显著升高(P<0.01)。而与对照组相比,所有剂量组均未观察到大鼠的体重、食物利用率、雄鼠包皮分离时间/雌鼠阴道开口时间、脏器系数等指标有显著性差异的改变(P>0.05),组织病理学结果亦显示大鼠重要器官无损害性改变。因此,在本试验给予的剂量范围内赤霉酸染毒不会对SD大鼠青春期发育产生显著影响。     

Investigation of titanium liquid/gas diffusion layers in proton exchange membrane electrolyzer cells

In a proton exchange membrane electrolyzer cell (PEMEC), liquid/gas diffusion layer (LGDL) is expected to transport electrons, heat, and reactants/products to and from the catalyst layer with minimum voltage, current, thermal, interfacial, and fluidic losses. In addition, carbon materials, which are typically used in PEM fuel cells (PEMFCs), are unsuitable in PEMECs due to the high ohmic potential and highly oxidative environment of the oxygen electrode. In this study, a set of titanium gas diffusion layers with different thicknesses and porosities are designed and examined coupled with the development of a robust titanium bipolar plate. It has been found that the performance of electrolyzer improves along with a decrease in thickness or porosity of the anode LGDL of titanium woven meshes. The ohmic resistance of anode LGDL and contact resistance between anode LGDL and the anode catalyst play dominant roles in electrolyzer performance, and better performance can be obtained by reducing ohmic resistance. Thin titanium LGDLs with straight-through pores and optimal pore morphologies are recommended for the future developments of low-cost LGDLs with minimum ohmic/transport losses.     

丝状菌污泥膨胀及其致密过程中菌丝体演替规律

为了探索丝状菌的致密途径、解决丝状菌污泥膨胀的难题,从丝状菌的自身特点及外部条件出发研究了其在污泥膨胀及致密过程中菌丝体的演替规律。研究发现,致密生长的大絮体对丝状菌的种类是有选择性的,那些丝体较弯曲、丝体强度较大、贮存能力强的菌丝体更利于形成聚集态生长。另外,研究表明,不同种类丝状菌的生长势和存贮能力不同,对底物的利用上亦存在着竞争关系。实验中存在的几个菌种对PHB颗粒的存贮能力由高到低依次为:Nostocoida limicolaⅡ、Type 1851、Type 0701、Type 021N型菌体。     

苏北浅滩腰沙围填海控制线研究

围填海控制线是在工程可行的前提下,不显著改变区域海洋动力格局和岸滩演变趋势的最大围填外包络线,能够最大限度地协调围填海与海洋资源环境保护之间的关系。以苏北浅滩腰沙为例,在对围填海控制性因素进行筛选、识别与分析的基础上,根据各控制性因素的控制要求,设计了围填海控制性指标。应用潮流数值模拟和泥沙回淤预测技术,采用分层次筛选和迭代逼近的方法,构建围填海控制线迭代优选模型,分析不同围填海方案对海洋动力格局演变的影响,计算得到腰沙的围填海控制线为理论基面+28 m。提出的研究方法和迭代优选模型可为沿海省市围填海控制线的制定提供参考和方法借鉴,为制定围填海规模总量控制指标提供科学依据     

基于数据包络分析的水污染物排放指标初始分配方法与案例研究

基于数据包络分析(DEA)的点源水污染物排放指标初始分配方法,是将基于DEA的线性规划评价方法进行改进,从而使其适用于评价企业的水环境绩效,并依此进行排污指标初始分配。将非期望产出作为投入指标处理,构造了5输入1输出的规模可变DEA模型,并以南京市280家企业的COD排放指标初始分配为例进行了分析。结果表明,方法的模拟分配结果在公平的基础上,反映了企业的环境效率,效率越高,可得到的COD排放指标也越高,这将对企业治污起到激励作用,分配方法具有一定的可操作性;对案例企业进行分组并实行组内参评,基本可以避免部分极值原始数据对评价结果的影响,得到的COD排放指标分配结果也更为合理。