Testing the importance of accurate meteorological input fields and parameterizations in atmospheric transport modelling using dream - validation against ETEX-1

A tracer model, the DREAM, which is based on a combination of a near-range Lagrangian model and a long-range Eulerian model, has been developed. The meteorological meso-scale model, MM5V1, is implemented as a meteorological driver for the tracer model. The model system is used for studying transport and dispersion of air pollutants caused by a single but strong source as, e.g. an accidental release from a nuclear power plant. The model system including the coupling of the Lagrangian model with the Eulerian model are described. Various simple and comprehensive parameterizations of the mixing height, the vertical dispersion, and different meterological input data have been implemented in the combined tracer model, and the model results have been validated against measurements from the ETEX-1 release. Several different statistical parameters have been used to estimate the differences between the parameterizations and meterological input data in order to find the best performing solution.     

2 000 m超深水水下分离器泄漏油气扩散特性研究

深水水下分离器服役过程中由于腐蚀、地质灾害和环境高压作用,存在失效泄漏风险。针对2 000 m超深水水下分离器可能存在的失效泄漏问题,基于计算流体动力学CFD方法,建立分离器失效泄漏后果数值仿真分析模型,对分离器泄漏场景进行模拟与分析,研究2 000 m水深条件下分离器泄漏油气扩散规律,并考虑不同泄漏位置对油气扩散行为的影响。结果表明:水下分离器泄漏包括压力扩散和自由扩散两个阶段,压力扩散阶段历时极短,自由扩散阶段耗时较长;泄漏口位置对泄漏结果有较为明显的影响,分离器上部泄漏,油气全部溢出,分离器中下部泄漏,大部分油气保留于分离器内部,最终形成分明的油气水界面;分离器内部压力随时间迅速上升,t=0.25 s左右接近于20 MPa,后期在20 MPa左右呈极微小波动,泄漏速率随分离器内部压力增大迅速减小,达到最低点之后,呈微小波动状变化。     

Phast validation of discharge and atmospheric dispersion for pressurised carbon dioxide releases

The consequence modelling package Phast examines the progress of a potential incident from the initial release to the far-field dispersion including the modelling of rainout and subsequent vaporisation. The original Phast discharge and dispersion models allow the released substance to occur only in the vapour and liquid phases. The latest versions of Phast include extended models which also allow for the occurrence of fluid to solid transition for carbon dioxide (CO₂) releases.As part of two projects funded by BP and Shell (made publicly available via CO2PIPETRANS JIP), experimental work on CO₂ releases was carried out at the Spadeadam site (UK) by GL Noble Denton. These experiments included both high-pressure steady-state and time-varying cold releases (liquid storage) and high-pressure time-varying supercritical hot releases (vapour storage). The CO₂ was stored in a vessel with attached pipework. At the end of the pipework a nozzle was attached, where the nozzle diameter was varied.This paper discusses the validation of Phast against the above experiments. The flow rate was predicted accurately by the Phast discharge models (within 10%; considered within the accuracy at which the BP experimental data were measured), and the concentrations were found to be predicted accurately (well within a factor of two) by the Phast dispersion model (UDM). This validation was carried out with no fitting whatsoever of the Phast extended discharge and dispersion models.     

Validation of discharge and atmospheric dispersion for unpressurised and pressurised carbon dioxide releases

This paper discusses the validation of discharge and subsequent atmospheric dispersion for both unpressurised and pressurised carbon dioxide releases using the consequence modelling package Phast.The paper first summarises the validation of the Phast dispersion model (UDM) for unpressurised releases. This includes heavy gas dispersion from either a ground-level line source (McQuaid wind-tunnel experiments) or an area source (Kit-Fox field experiments). For the McQuaid experiments minor modifications of the UDM were made to support line sources. For the Kit Fox experiments steady-state and 20-s finite-duration releases were simulated for both neutral and stable conditions. Most accurate predictions of the concentrations for finite duration releases were obtained using the UDM Finite Duration Correction method.Using experiments funded by BP and Shell and made available via DNV's CO2PIPETRANS JIP, the paper secondly summarises the validation of the Phast discharge and dispersion models for pressurised CO₂ releases. This modelling accounted for the possible presence of the solid CO₂ phase following expansion to atmospheric pressure. These experiments included both high-pressure steady-state and time-varying cold releases (liquid storage) and high-pressure time-varying supercritical hot releases. Both the flow rate and the concentrations were found to be predicted accurately.The above validation was carried out with no fitting whatsoever of the Phast extended discharge and dispersion models.     

氯气泄漏后毒害区的估算及泄漏的处置

运用毒害区计算方法对本部贮存的氯气泄漏后扩散的半径进行估算,同时以扩散的半径作参考,提出氯气泄漏的处置方法.     

Environmental dispersivity in free-water-surface-effect dominated wetland: multi-scale analysis

Distinct from the case with width-dominated shallow wetland flows, the longitudinal evolution of contaminant concentration in the most-typical pattern of wetland as dominated by free-water-surface-effect is characterized by a multi-scale analysis in the present study. An environmental dispersion model for the evolution of the mean concentration is deduced as an extension of Taylor's classical formulation by Mei’s multi-scale analysis. Corresponding environmental dispersivity is found identical to that determined by the method of concentration moments.     

改进的产业碳关联系数及应用 ——以上海为例

投入产出分析中重要的影响力系数和感应度系数被引入到我国的产业环境关联研究中,但采用的计算方法却多是存在缺陷的传统公式,对指标的政策意义解读也有待深入.在梳理2项指标前沿发展的基础上,以部门最终产品构成系数为权数,改进了表征产业碳关联的碳影响力系数和碳影响诱导系数(代替原碳感应度系数)的计算公式,并指出前者主要对应产业政策,对部门划分水平较不敏感,而后者主要对应节能减排政策,对部门划分水平较敏感.将改进的指标应用于2010年上海市,结果表明,其产业政策应扶植服务业和先进制造业,鼓励重化工业和专用设备制造业转型,逐步淘汰多数传统中低端制造业,节能减排政策的重点实施部门则应扩大到部分高能耗服务业.     

铬污染土壤超低频复电阻率频散特性

在超低频段(2-5~26Hz)内,研究了铬污染土壤复电阻率在不同含水率、铬含量和孔隙率下的幅值及相位频散特性. 结果显示,铬污染土壤复电阻率的幅值随频率的增大呈单调递减趋势,但相位随频率的变化曲线呈平放的S形. 含水率、铬含量和孔隙率的变化均会引起土壤复电阻率的幅值和相位大小的改变,而相位峰值的位置只对含水率及孔隙率的变化较为敏感,与铬含量变化的关系不大. 含水率从0.08增至0.24时可导致相位峰值的位置产生约8Hz的右移;而当w(Cr6+)从0.5g/kg增至4.0g/kg时,相位峰值的位置基本不发生变化. 表明铬含量和含水率的增大均会引起电阻率减小的异常现象,若单纯地使用电阻率很难区分引起这2种异常现象的原因,但结合土壤复电阻率频散特性特别是相位峰值的位置可以进行有效判别,进而可判定铬污染场地的铬含量分布.      

高架桥对街道峡谷内大气颗粒物输运的影响

随着我国城市汽车保有量的迅速攀升,城市中心区域的空气质量与生态环境急剧恶化.利用计算流体力学(CFD)数值模拟,研究了3种H/W(街道建筑物高度/峡谷宽度)下高架桥对街道峡谷内颗粒物扩散的影响.建立了街道峡谷内机动车尾气中颗粒物扩散模型,并给出了边界条件.采用标准k-ε模型与离散相模型对街道峡谷内部气流运动、颗粒物扩散及浓度分布进行了模拟计算,并计算了高架桥对风场及颗粒物扩散的影响.结果表明:H/W越大,街道峡谷内颗粒物浓度越高,同时颗粒物平均滞留时间越长.相对于没有高架桥的街道峡谷,高架桥附近区域风场变化明显,但对建筑物墙壁、地面及峡谷顶层处影响较小.街道峡谷内存在高架桥时,在墙壁较低处颗粒物浓度增加.      

Simulating mesoscale transport and diffusion of radioactive noble gases using the Lagrangian particle dispersion model

In order to simulate the impact of mesoscale wind fields and to assess potential capability of atmospheric Lagrangian particle dispersion model (LPDM) as an emergency response model for the decision supports, two different simulations of LPDM with the mesoscale prognostic model MM5 (Mesoscale Model ver. 5) were driven. The first simulation of radioactive noble gas ((85)Kr exponent) emitted during JCO accident occurred from 30 September to 3 October 1999 at Tokai, Japan showed that the first arriving short pulse was found in Tsukuba located at 60km away from the accidental area. However, the released radioactive noble gas was transported back to the origin site about 2 days later due to the mesoscale meteorological wind circulation, enhancing the levels of (85)Kr with the secondary peak in Tsukuba. The second simulation of atmospheric dilution factors (the ratio of concentration to the emission rate, chi/Q), during the underground nuclear test (UNT) performed by North Korea showed that high chi/Q moved to the eastward and extended toward southward in accordance with the mesoscale atmospheric circulations generated by mesoscale prognostic model MM5. In comparison with the measurements, the simulated horizontal distribution patterns of (85)Kr during the JCO are well accord with that of observation in Tsukuba such as the existence of secondary peak which is associated with the mesoscale circulations. However, the simulated level of (85)Kr anomaly was found to be significantly lower than the observations, and some interpretations on these discrepancies were described. Applications of LPDM to two mesoscale emergency response dispersion cases suggest the potential capability of LPDM to be used as a decision support model provided accurate emission rate of accident in case of a large accident.