The normalisation of terror: the response of Israel's stock market to long periods of terrorism

Man‐made disasters such as acts of terrorism may affect a society's resiliency and sensitivity to prolonged physical and psychological stress. The Israeli Tel Aviv stock market TA‐100 Index was used as an indicator of reactivity to suicide terror bombings. After accounting for factors such as world market changes and attack severity and intensity, the analysis reveals that although Israel's financial base remained sensitive to each act of terror across the entire period of the Second Intifada (2000–06), sustained psychological resilience was indicated with no apparent overall market shift. In other words, we saw a ‘normalisation of terror’ following an extended period of continued suicide bombings. The results suggest that investors responded to less transitory global market forces, indicating sustained resilience and long‐term market confidence. Future studies directly measuring investor expectations and reactions to man‐made disasters, such as terrorism, are warranted.     

Immediate behavioural responses to earthquakes in Christchurch,New Zealand,and Hitachi,Japan

This study examines people's immediate responses to earthquakes in Christchurch, New Zealand, and Hitachi, Japan. Data collected from 257 respondents in Christchurch and 332 respondents in Hitachi revealed notable similarities between the two cities in people's emotional reactions, risk perceptions, and immediate protective actions during the events. Respondents' physical, household, and social contexts were quite similar, but Hitachi residents reported somewhat higher levels of emotional reaction and risk perception than did Christchurch residents. Contrary to the recommendations of emergency officials, the most frequent response of residents in both cities was to freeze. Christchurch residents were more likely than Hitachi residents to drop to the ground and take cover, whereas Hitachi residents were more likely than Christchurch residents to evacuate immediately the building in which they were situated. There were relatively small correlations between immediate behavioural responses and demographic characteristics, earthquake experience, and physical, social, or household context.     

基于GIS的可视化土质边坡稳定性分析系统研究

结合GIS空间数据分析能力与极限平衡法开发了可视化的土质边坡稳定性分析系统GiSlope,介绍了边坡几何模型、外荷载与加筋结构模型、滑动面及地下水位线模型等分析模型的可视化建立过程,阐述了计算分析的设定、任意形状滑动面土条条分方法以及计算参数的确定方法。通过对几个典型实例的分析与国内外商业软件计算结果的对比,验证了系统计算的正确性和可靠性。     

Fine‐resolution conservation planning with limited climate‐change information

Climate‐change induced uncertainties in future spatial patterns of conservation‐related outcomes make it difficult to implement standard conservation‐planning paradigms. A recent study translates Markowitz's risk‐diversification strategy from finance to conservation settings, enabling conservation agents to use this diversification strategy for allocating conservation and restoration investments across space to minimize the risk associated with such uncertainty. However, this method is information intensive and requires a large number of forecasts of ecological outcomes associated with possible climate‐change scenarios for carrying out fine‐resolution conservation planning. We developed a technique for iterative, spatial portfolio analysis that can be used to allocate scarce conservation resources across a desired level of subregions in a planning landscape in the absence of a sufficient number of ecological forecasts. We applied our technique to the Prairie Pothole Region in central North America. A lack of sufficient future climate information prevented attainment of the most efficient risk‐return conservation outcomes in the Prairie Pothole Region. The difference in expected conservation returns between conservation planning with limited climate‐change information and full climate‐change information was as large as 30% for the Prairie Pothole Region even when the most efficient iterative approach was used. However, our iterative approach allowed finer resolution portfolio allocation with limited climate‐change forecasts such that the best possible risk‐return combinations were obtained. With our most efficient iterative approach, the expected loss in conservation outcomes owing to limited climate‐change information could be reduced by 17% relative to other iterative approaches.     

Potassium carbonate-based ternary transition temperature mixture (deep eutectic analogues) for CO2 absorption: Characterizations and DFT analysis

•Addition of hindered amine increased thermal stability and viscosity of TTTM. •Addition of hindered amine improved the CO₂ absorption performance of TTTM. •Good the CO₂ absorption of recycled solvents after two regenerations. •Important role of amine group in CO₂ absorption of TTTM confirmed by DFT analysis. Is it possible to improve CO₂ solubility in potassium carbonate (K₂CO₃)-based transition temperature mixtures (TTMs)? To assess this possibility, a ternary transition-temperature mixture (TTTM) was prepared by using a hindered amine, 2-amino-2-methyl-1,3-propanediol (AMPD). Fourier transform infrared spectroscopy (FT-IR) was employed to detect the functional groups including hydroxyl, amine, carbonate ion, and aliphatic functional groups in the prepared solvents. From thermogravimetric analysis (TGA), it was found that the addition of AMPD to the binary mixture can increase the thermal stability of TTTM. The viscosity findings showed that TTTM has a higher viscosity than TTM while their difference was decreased by increasing temperature. In addition, Eyring’s absolute rate theory was used to compute the activation parameters (ΔG*, ΔH*, and ΔS*). The CO₂ solubility in liquids was measured at a temperature of 303.15 K and pressures up to 1.8 MPa. The results disclosed that the CO₂ solubility of TTTM was improved by the addition of AMPD. At the pressure of about 1.8 MPa, the CO₂ mole fractions of TTM and TTTM were 0.1697 and 0.2022, respectively. To confirm the experimental data, density functional theory (DFT) was employed. From the DFT analysis, it was found that the TTTM+ CO₂ system has higher interaction energy (|ΔE |) than the TTM+ CO₂ system indicating the higher CO₂ affinity of the former system. This study might help scientists to better understand and to improve CO₂ solubility in these types of solvents by choosing a suitable amine as HBD and finding the best combination of HBA and HBD.     

有机污染物土地生物处理过程动态规律模拟研究

应用土壤颗粒内部有机污染物屏蔽理论,说明土地生物处理过程中残余有机污染物在土壤中的滞留现象,提出描述有机污染物在土壤及相连的水环境中生物降解过程的数学模型.其中,污染物的扩散过程用Fick第二扩散定律表示,可逆的吸附和解吸过程用线性吸附等温线表示,不可逆的土壤颗粒内部屏蔽过程用假一级反应动力学方程表示,生物降解过程用Monod动力学方程表示.模型计算结果与实验结果基本拟合,表示模型基本可靠.利用该数学模型,可以定量预测有机污染物进行土地生物处理所需的时间、处理的程度及动态规律.     

Rural landscape planning case study of Nanhua State Farm

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湖泊暴雨径流水质模拟研究

根据暴雨径流污染物浓度变化特点，采用最小二乘法对暴雨期间污染源各监测数据进行回归分析处理，对湖底糙率采用自动调整处理，建立了湖泊暴雨径流水质模型．对滇池湖泊某次暴雨过程的总磷和总氮进行了模拟研究，计算结果表明，该模型应用于滇池湖泊是成功的．     

难降解有机物标准溶液的研制

介绍了难降解有机物标准溶液研究、制备方法，进行了均匀性检验、稳定性检验，统计计算了检验结果，基本确定主要参数。检验结果表明： 按该法配制的标准溶液均匀，在一年保存期间内稳定，标准溶液符合国家标准，可用于海洋环境监测。     

城市街道汽车污染扩散规律模拟研究

如何简单而准确地模拟城市街区污染的扩散规律,对于城市汽车污染控制决策具有重要的意义,从大量实测数据,分析了风速风向等影响街道峡谷污染物扩散的主要因素,采用丹麦开发的街道峡谷模式ＯＳＰＭ,对汽车污染扩散规律进行模拟研究。与北京实测数据对比结果表明,该模式较好地模拟昼间风速风向对街道峡保内汽车污染扩散的影响,比较准确地反映了峡保中流场的主要特征,以及汽车排放污染物的扩散规律,污染物浓度与风速的倒数摈心