中国区域HCFC-142b排放量模式反演研究

利用拉格朗日粒子扩散模式FLEXPART结合上甸子区域本底站在线观测HCFC-142b数据,采取自上而下的反演方法,估算了2009和2010年中国HCFC-142b的排放量分别为10.82kt/a和15.42kt/a,分别占全球HCFC-142b排放量的29.7%和45.8%.反演HCFC-142b排放量的空间分布结果显示其排放源主要集中在京津冀、四川、山东西部以及长江中下游地区,与相关研究中自下而上方法获得的排放量分布一致.模式反演源较先验源更接近观测数据,2009年相关系数从0.38提高到0.47,2010年相关系数则从0.60提高到0.65.     

污染源半定量化的地下水有机污染风险评价

结合细河沿岸地区水文地质条件及地下水有机污染特征,通过AHP法确定权重,建立DRSIC模型,将评价结果与污染源荷载评价叠加,构建研究区有机污染风险评价模型.并通过研究区有机污染特征检验模型的合理性.结果表明:区内大部分地区有机污染风险中等或低.只有细河沿岸、杨士至于洪区一带污染风险处于高水平.评价结果较好的符合研究区有机污染现状.     

车用环向缠绕气瓶原型选型分析与建议

针对业内对车用环向缠绕气瓶设计文件鉴定和型式试验工作中存在选型分歧这一实际问题,通过综合分析气瓶设计规则、型式试验规则和产品标准的要求,对该产品的原型选择进行讨论,提出一个能够符合国家标准、合理体现制造厂家诉求、且能与设计鉴定、型式试验工作相适应的选型建议。     

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.     

The distribution,metabolism and toxicity of 14c-DDT in model aquarium tanks with fish and sediment simulating a tropical marine environment

Studies conducted on the distribution, fate and metabolism of DDT in a model ecosystem simulating a tropical marine environment of fish, Gobious nudiceps, Lethrinus harak, Gobious keinesis, Gobious nebulosis and white shrimp (Panaeus setiferus), show that DDT concentration in the water decreases rapidly within the first 24?h. Rapid accumulation of the pesticide in the biota also reaches a maximum level in 24?h before gradually declining. The bioaccumulation factors calculated for the fish species (G. keinesis) and white shrimp (P. Setiferus) were 270 and 351, respectively, after 24?h. There was a steady build up of DDT residues in the sediment during the first 24?h which continued to a maximum concentration of 6.66?ng/g in the seawater/fish/sediment ecosystem after 3 weeks and 5.27?ng/g in the seawater/shrimps/sediment ecosystem after 2.7 days. The depuration of the accumulated pesticide was slow with only 54% lost in G. nudiceps within 3 days of exposure in fresh sea water. By contrast, depuration was fast in the white shrimp, which lost 97% of the accumulated pesticide under the same conditions. DDT was found to be toxic to two of the fish species (G. nebulosis and L. harak) and to white shrimp, and the degree of toxicity was dependent on the particular species. The 24?h LC₅₀ at room temperature for the fish species G. nebulosis and white shrimp was found to be 0.011 and 0.116?mg/kg, respectively. These levels are comparable to the ones recorded for the temperate organisms. Degradation of DDT to its primary metabolites, DDE and DDD, was found in all the compartments of the ecosystem with DDE being the major metabolite in the fish, shrimps and sediment, while in seawater, DDD dominated as the major metabolite.     

Investment in cleaner technology and signaling distortions in a market with green consumers

I analyze the pricing and investment behavior of a firm that signals the environmental attributes of its production technology through its price to uninformed environmentally conscious consumers. I then analyze the effect of change in environmental regulation on the signaling outcome and the firm's ex ante incentive to invest in cleaner technology. When regulation is weak, a firm signals cleaner technology through higher price; in this case, the firm earns lower profit when it has cleaner technology and thus, has no incentive to invest in cleaner technology. The price charged by the clean firm declines sharply beyond a critical level of regulation. When regulation is sufficiently stringent, the firm with cleaner technology charges lower price but earns higher signaling profit, and ex ante the firm has positive incentive to invest in cleaner technology. With weak regulation, the incentive of the firm to directly disclose its environmental performance rather than signal it through price is increasing in the level of regulation; the opposite holds when regulation is sufficiently stringent.     

水文变异条件下潦河生态流量计算研究

气候变化和高强度人类活动改变了流域的自然水文循环过程,导致水文序列出现变异,严重影响了流域水文生态系统的稳定性.目前,基于水文变异条件下的河道内生态流量计算已成为当前变化环境下生态水文学研究的热点问题之一.以江西鄱阳湖西北部的潦河为例,采用水文时间序列变异检验方法分析径流变异性及成因,应用水文模型对水文变异后的径流进行还原,以Kolmogorov-Smirnov（K-S）、Anderson Darling（A-D）和概率点据相关系数（PPCC）3种检验法确定月径流的最优概率分布函数,进而提出水文变异条件下最适宜的潦河生态流量计算方法.结果表明:①潦河万家埠站径流在1972年发生水文变异,突变点后流域年径流增加了12%,降水量的增加和蒸发量的减少是其主要驱动要素.②采用分布式时变增益模型（DTVGM）对径流进行还原,率定期和验证期的相关系数和Nash-Sutchliffe效率系数均大于0.78,径流模拟值和实测值拟合程度较高,表明基于DTVGM进行径流还原是可行的.③基于还原后的径流,对5种概率分布函数进行拟合优度综合检验,确定逐月最优分布函数,并估算月河道生态流量.与Tennant法、最枯月平均流量法、7Q10法等方法比较,基于最优分布函数的生态流量结果更具确定性与合理性.在气候变化和人类活动引起径流变异的背景下,考虑水文变异的河道内生态需水计算方法能够更科学地体现水文变异对生态需水过程的影响,研究结果可为潦河流域水生态保护和水资源管理提供数据支撑,也可为变化环境下水资源规划和配置提供科学依据.      

Modelling periphyton in irrigation canals

Periphyton developments in water distribution canals induce major disturbances for system management, such as clogging problems when fixed algae are detached. Periphyton models can be used to simulate and improve canal management. The purpose of this paper is to review the periphyton models which integrate a hydrodynamic effect, and to discuss their relevance for application in open-channels. Afterwards, a new model of periphyton detachment that integrates the hydrodynamic factor is proposed. An experiment in semi-real conditions is performed to compare periphyton development under four different hydrodynamic regimes. The proposed model is compared on experimental results with two existing models. The new model reproduces well the periphyton dynamics in the four canals simultaneously.     

Application of a temperature-dependent von Bertalanffy growth model to bullhead (Cottus gobio)

The most studied and commonly applied model of fish growth is the von Bertalanffy model. However, this model does not take water temperature into account, which is one of the most important environmental factors affecting the life cycle of fish, as many physiological processes that determine growth, e.g. metabolic rate and oxygen supply, are directly influenced by temperature. In the present study we propose a version of the von Bertalanffy growth model that includes mean annual water temperatures by correlating the growth coefficient, k, explicitly and the asymptotic length, L_∞, implicitly to water temperature. All relationships include parameters with an obvious biological relevance that makes them easier to identify. The model is used to fit growth data of bullhead (Cottus gobio) at different locations in the Bez River network (Drme, France). We show that temperature explains much of the growth variability at the different sampling sites of the network.