武汉城市群夏季热岛特征及演变

利用2000~2010年共11期MODIS地表温度资料和多源多时相的遥感影像分类结果揭示武汉城市群的夏季热岛效应,反演并计算出10 a间武汉城市群日间和夜间的热岛强度变化、土地覆盖类型和城镇用地面积。在对不同时相的地表温度数据进行热岛指数归一化处理的基础上,分析了武汉城市群热岛的分布特征及年代演变,定量分析了武汉城市群以及中心城市武汉市不同热状况区面积的变化和热场的变迁。结果表明,武汉城市群夏季热岛效应较为明显,其中武汉市是主要热源和热中心;自2000年起,武汉城市群城乡温度差异逐步减小,热中心分布向外扩散,城市热岛区域急速扩张,整体热环境趋于恶化;新兴城区的开发增加了武汉市的热源分布,人工表面的增加以及自然表面的减少导致城市热岛效应不断加剧。     

SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market

Markets for solar renewable energy certificates (SRECs) are gaining in prominence in many states, stimulating growth of the US solar industry. However, SREC market prices have been extremely volatile, causing high risk to participants and potentially less investment in solar power generation. Such concerns necessitate the development of realistic, flexible and tractable models of SREC prices that capture the behavior of participants given the rules that govern the market. We propose an original stochastic model called SMART-SREC to fill this role, building on established ideas from the carbon pricing literature, and including a feedback mechanism for generation response to prices. We calibrate the model to the New Jersey market and backtest it, analyzing parameter sensitivity and demonstrating its ability to reproduce historical dynamics. Finally, we run simulations to investigate the role and impact of regulatory parameters, thus providing insight into the crucial role played by market design.     

Machine learning based quantitative consequence prediction models for toxic dispersion casualty

Incidental release of toxic chemicals can pose extreme danger to life in the vicinity. Therefore, it is crucial for emergency responders, plant operators, and safety professionals to have a fast and accurate prediction to evaluate possible toxic dispersion life-threatening consequences. In this work, a toxic chemical dispersion casualty database that contains 450 leak scenarios of 18 toxic chemicals is constructed to develop a machine learning based quantitative property-consequence relationship (QPCR) model to estimate the affected area caused by toxic chemical release within a certain death rate. The results show that the developed QPCR model can predict the toxic dispersion casualty range with root mean square error of maximum distance, minimum distance, and maximum width less than 0.2, 0.4, and 0.3, which indicates that the constructed model has satisfying accuracy in predicting toxic dispersion ranges under different lethal consequences. The model can be further expanded to accommodate more toxic chemicals and leaking scenarios.     

Effects of typical additives on the thermal stability of ammonium peroxydisulfate

Ammonium peroxydisulfate (APS), one of the most widely used inorganic peroxides in the process industries, is a thermally unstable peroxide and potent oxidizer due to the presence of peroxy bond in the molecule and is incompatible with most substances. To investigate the effect of typical additives on the thermal decomposition of APS, in this paper, diamine phosphate (DAP), monoamine phosphate (MAP), and aluminum hydroxide (AH) were selected as additives; pure APS and samples with 10 wt% and 20 wt% of additives were first tested by differential scanning calorimetry (DSC). The experiments and analysis showed that the samples with 10 wt% of additive had better thermal stability than those with 20 wt% of additive. After screening, the three groups of 10 wt% AH, 10 wt% MAP, and 20 wt% MAP additive conditions could be considered to have a better thermal stability effect on the thermal decomposition of APS. Four groups of samples were, in turn, tested by Phi-Tec II. The adiabatic results showed two discontinuous exothermic processes; 10 wt% AH promoted the weak exothermic effect in the first stage. In contrast, the three groups of additives in the main exothermic stage showed different degrees of inhibition, and the inhibiting effect was ranked as 10 wt% AH, 10 wt% MAP, and 20 wt% MAP in order. Finally, the self-accelerated decomposition temperature (SADT) was calculated under the 25 kg standard package. The adiabatic results, including SADT, were combined to render feasible recommendations for the use of additives, which provides references for the packaging and transportation of additives and their applications.     

开放经济、环保财政支出与污染治理——来自中国省级与行业面板数据的经验证据

首先按照各省环保财政支出占GDP比重与按主成分分析法计算的地方环境污染物排放综合指数的排名情况把中国30个省份分成两个区域,区域1环保财政支出污染治理效应较强,区域2环保财政支出污染治理效应较弱。区域1包括北京、海南等14个省市,区域2包括天津、上海等16个省市。其次基于2007—2014年中国省级和行业面板数据,分析开放经济、环保财政支出对污染治理的影响。最后借鉴门限回归模型检验开放经济是否存在环保财政支出与污染治理的门槛效应。结果显示:(1)环境污染物排放存在区域差异和行业差异,区域1呈现出开放程度和污染物排放双低的特征,而区域2则表现为双高特征。制造业、电力、煤气及水的生产和供应业污染物排放较高,采掘业污染物排放年均增长速度最快。(2)样本期内省级和行业面板数据均表明开放经济与环境污染物排放显著负相关,对外开放不是助推环境污染的原因。(3)中国环保财政支出与环境污染物排放显著负相关,环保财政支出具有显著的污染治理效应。(4)开放经济对环保财政支出的污染治理效应具有门槛效应,当进口和出口贸易总额高于门槛值-1.221、-1.016时环保财政支出的污染治理效应很难发挥。(5)以进、出口贸易总额为门槛变量时,有107个观测值低于门槛值,占总观测值的44.58%,其中有59个位于区域1,占55.14%。鉴于此应继续加大环境保护财政支出,进一步提升环保财政专项支出在GDP中所占比重,保持适度的对外开放,优化能源消费结构和实现产业结构升级,全面改善环境质量,提升开放经济下环保财政支出的污染治理效应。     

大宝山矿区水体和沉积物中重金属的污染评价

分别于丰水期和枯水期对广东省大宝山矿区铁龙拦泥坝至凉桥河段水体中溶解态的重金属进行了调查,应用EPA推荐的健康风险评价模型发现,水体中非致癌物通过饮水途径所导致平均个人年风险排列顺序是Cu〉Pb〉Zn,最大值的平均个人年风险在丰水期和枯水期的平均值分别是2.14×10-7 a-1和4.13×10-7 a-1,小于国际防辐射委员会（ICRP）推荐的最大可接受平均个人年风险5.0×10-5a-1。致癌物Cd的平均个人年风险在丰水期和枯水期的平均值分别是3.52×10-4 a-1和4.53×10-4 a-1,大于ICRP推荐的最大可接受值,同时也大于非致癌物3～4个数量级。另外,通过对枯水期沉积物的重金属总量分析,发现凉桥槽对坑支流受水体pH的影响,导致其沉积物重金属的浓度最高。根据Long和Macdonald利用生物效应数据库法建立的沉积物质量基准,发现除冷水泾外,其他采样点的平均效应中值指数（mERMQ）值都大于1.5,可见沉积物中的重金属会对当地底栖生物产生毒害作用。     

Reductive dechlorination of non-ortho substituted polychlorinated biphenyls by ultraviolet irradiation in alkaline 2-propanol

The photodechlorination pathways of 3,3′,4,5,5′-pentachlorobiphenyl (3,3′,4,5,5′-PentaCB) and the related lower polychlorinated biphenyl congeners irradiated at 254 nm in alkaline 2-propanol were elucidated. Steric effect is the most important factor for controlling the dechlorination pattern of these substrates. Electronic effect also influences the photoreactivity of chlorine substituents.     

纳米氧化锌粒径效应对人工湿地运行性能的影响

为考察ZnO NPs粒径效应对人工湿地运行性能的影响,在进水COD约为216.00 mg·L-1、总氮约为11.10 mg·L-1和总磷约为3.84 mg·L-1的条件下连续运行126 d,对暴露于不同粒径ZnO NPs(10.00mg·L-1)的人工湿地脱氮除磷性能、填料渗透系数、胞外聚合物(extracellula...     

废气治理的低温等离子体-催化协同净化技术

低温等离子体 催化协同净化技术具有能耗低、投资少、处理效率高、不产生二次污染等显著优点备受人们的关注。从挥发性有机化合物 (VOC)的转化、氮氧化合物的脱除、汽车尾气净化等不同废气治理的角度 ,概括了目前国内外在这方面的研究进展 ,最后提出了该项技术在环境保护领域的应用前景及研究方向     

Influence of H2S and NH3 on biogas dry reforming using Ni catalyst: a study on single and synergetic effect

● NH₃ in biogas had a slight inhibitory effect on dry reforming. ● Coexistence of H₂S and NH₃ led to faster decline of biogas conversion. ● Regeneration was effective for catalysts deactivated under synergetic effect. Biogas is a renewable biomass energy source mainly composed of CH₄ and CO₂. Dry reforming is a promising technology for the high-value utilization of biogas. Some impurity gases in biogas can not be completely removed after pretreatment, which may affect the performance of dry reforming. In this study, the influence of typical impurities H₂S and NH₃ on dry reforming was studied using Ni/MgO catalyst. The results showed that low concentration of H₂S in biogas could cause serious deactivation of catalyst. Characterization results including EDS, XPS and TOF-SIMS confirmed the adsorption of sulfur on the catalyst surface, which was the cause of catalyst poisoning. We used air calcination method to regenerate the sulfur-poisoned catalysts and found that the regeneration temperature higher than 500 °C could help catalyst recover the original activity. NH₃ in the concentration range of 50–10000 ppm showed a slight inhibitory effect on biogas dry reforming. The decline rate of biogas conversion efficiency increased with the increase of NH₃ concentration. This was related to the reduction of oxygen activity on catalyst surface caused by NH₃. The synergetic effect of H₂S and NH₃ in biogas was investigated. The results showed that biogas conversion decreased faster under the coexistence of H₂S and NH₃ than under the effect of H₂S alone, so as the surface oxygen activity of catalyst. Air calcination regeneration could also recover the activity of the deactivated catalyst under the synergetic effect of H₂S and NH₃.