A~2/O工艺厌氧池有机物降解动力学模型对比研究

试验考察了东阿县污水处理厂一期A2/O工艺厌氧池去除有机污染物效能,当进水ρ(COD)为548.3 mg/L时,厌氧池平均去除率达78.7%。同时探讨了几种常见数学模型模拟厌氧池去除有机物规律情况,根据实际工程监测数据确定有机底物降解动力学常数,得出Grau模型、Stover-kincannon模型和改进的Monod模型较适合模拟厌氧池去除有机物的规律,并对模型进行了检验。     

2013年京津冀重污染特征及其气象条件分析

2013年中国东部地区多次发生持续的重霾污染事件.为探究其气象条件与重污染事件的关系,本文使用欧洲中心2013年东亚地区的逐日气象数据和北京、天津、石家庄的逐时PM_2.5浓度数据以及2013年MICAPS观测数据,分析了重污染事件对应的天气形势,并使用NAQMPS针对2013年1月的重污染事件进行情景模拟.研究结果表明：1北京、天津和石家庄地区PM_2.5浓度,夏秋季节日变化不显著,秋冬季节白天低夜间高;3地PM_2.5浓度均表现为12-1月浓度最高,7月最低;.2500 hPa平直西风气流,850 hPa弱暖平流,地面处于弱高压后部或高压底部高低空配置下的天气系统,对应着重污染事件的高发期;3源强不变的情况下,京津冀地区由弱高压前部控制转为弱高压控制时,地面温度升高0~5℃,相对湿度增加30%~50%,风速下降2~3 m·s^-1,PM_2.5浓度变化可达300 μg·m^-3.     

Environmental implications of planned obsolescence and product lifetime: a literature review

The aim of this paper was to explore the implications of planned obsolescence (PO) and the associated product lifetime on the environmental impact of products. To achieve this task, a literature review was performed to assess both the historical context and recent situation of planned obsolescence. A search in scholarly journals was performed to evaluate to what extent product lifetime and PO have been discussed in the recent literature. Based on the findings, selected cases of PO are discussed and trends in the practice of limiting product lifetime are identified. Factors considered to have a significant influence on product lifetime have been identified and discussed. The discussion of case studies made it possible to establish the links between product design, manufacturing and associated impacts of lifetime. The role of the actors along the value chain is also considered to propose a business scheme, where the influences of consumer behaviour and design choices are crucial. Finally, strategies to facilitate the definition of different scenarios are given. These strategies may serve to increase the reliability of environmental assessment throughout a product life cycle.     

Impacts of Changes in Precipitation Amount and Distribution on Water Resources Studied Using a Model Rainwater Harvesting System

Water supply reliability is expected to be affected by both precipitation amount and distribution changes under recent and future climate change. We compare historical (1951‐2010) changes in annual‐mean and annual‐maximum daily precipitation in the global set of station observations from Global Historical Climatology Network and climate models from the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP), and develop the study to 2011‐2099 for model projections under high radiative forcing scenario (RCP8.5). We develop a simple rainwater harvesting system (RWHS) model and drive it with observational and modeled precipitation. We study the changes in mean and maximum precipitation along with changes in the reliability of the model RWHS as tools to assess the impact of changes in precipitation amount and distribution on reliability of precipitation‐fed water supplies. Results show faster increase in observed maximum precipitation (10.14% per K global warming) than mean precipitation (7.64% per K), and increased reliability of the model RWHS driven by observed precipitation by an average of 0.2% per decade. The ISI‐MIP models show even faster increase in maximum precipitation compared to mean precipitation. However, they imply decreases in mean reliability, for an average 0.15% per decade. Compared to observations, climate models underestimate the increasing trends in mean and maximum precipitation and show the opposite direction of change in reliability of a model water supply system.     

Robustness of Meteorological Droughts in Dynamically Downscaled Climate Simulations

We examine the robustness of a suite of regional climate models (RCMs) in simulating meteorological droughts and associated metrics in present‐day climate (1971‐2003) over the conterminous United States (U.S.). The RCMs that are part of North American Regional Climate Change Assessment Program (NARCCAP) simulations are compared with multiple observations over the climatologically homogeneous regions of the U.S. The seasonal precipitation, climatology, drought attributes, and trends have been assessed. The reanalysis‐based multi‐model median RCM reasonably simulates observed statistical attributes of drought and the regional detail due to topographic forcing. However, models fail to simulate significant drying trend over the Southwest and West. Further, reanalysis‐based NARCCAP runs underestimate the observed drought frequency overall, with the exception of the Southwest; whereas they underestimate persistence in the drought‐affected areas over the Southwest and West‐North Central regions. However, global climate model‐driven NARCCAP ensembles tend to overestimate regional drought frequencies. Models exhibit considerable uncertainties while reproducing meteorological drought statistics, as evidenced by a general lack of agreement in the Hurst exponent, which in turn controls drought persistence. Water resources managers need to be aware of the limitations of current climate models, while regional climate modelers may want to fine‐tune their parameters to address impact‐relevant metrics.     

偏振激光雷达在沙尘暴观测中的数据解析

阐述了日本国立环境研究所(NIES)研制的双波长偏振激光雷达的工作原理和主要工作参数,探讨了激光雷达方程在沙尘暴监测中的应用条件,并对激光雷达获取的各种信息进行直观图视化处理.分别用光学强度、后向散射强度、退偏振率、消光系数以及双波长信号比等对沙尘天气的污染特征进行了解析,并对垂直方向沙尘浓度的分布进行了计算.研究表明:退偏振率大于10%时,即可判断为沙尘天气;双波长信号比(P(1 064)/P(532))大于0.4,则表示该期间为沙尘天气;利用消光系数表示气溶胶浓度时,NIES激光雷达观测沙尘气溶胶消光系数超过0.3 km-1(ρ(TSP)约为500　μg/m3),且持续时间超过3　h的沙尘天气现象即可判断为一次沙尘事件.根据激光雷达特有物理量对沙尘气溶胶的不同判定标准,对沙尘事件的强度、持续时间、沙尘云厚度以及沙尘天气的污染特征进行了解析和探讨.      

Determination of Frequency for Remeasuring Ground and Vegetation Cover Factor Needed for Soil Erosion Modeling

Determining a remeasurement frequency of variables over time is required in monitoring environmental systems. This article demonstrates methods based on regression modeling and spatio-temporal variability to determine the time interval to remeasure the ground and vegetation cover factor on permanent plots for monitoring a soil erosion system. The spatio-temporal variability methods include use of historical data to predict semivariograms, modeling average temporal variability, and temporal interpolation by two-step kriging. The results show that for the cover factor, the relative errors of the prediction increase with an increased length of time interval between remeasurements when using the regression and semivariogram models. Given precision or accuracy requirements, appropriate time intervals can be determined. However, the remeasurement frequency also varies depending on the prediction interval time. As an alternative method, the range parameter of a semivariogram model can be used to quantify average temporal variability that approximates the maximum time interval between remeasurements. This method is simpler than regression and semivariogram modeling, but it requires a long-term dataset based on permanent plots. In addition, the temporal interpolation by two-step kriging is also used to determine the time interval. This method is applicable when remeasurements in time are not sufficient. If spatial and temporal remeasurements are sufficient, it can be expanded and applied to design spatial and temporal sampling simultaneously.     

大跨结构多维多点输入抗震研究进展

对于大跨度结构来说,应该考虑地震动的多维多点效应。从国内外发展现状及取得的主要研究进展和近期的发展动向等角度,对大跨度结构多维多点输入抗震的研究现状进行了系统的综述和总结。首先论述了多维地震动及其相关性,从地震动的各个分量之间的强度比、频率、持时及相关性等方面说明地震动分量的特性;然后论述地震动时空模型,侧重于反映地震动空间变化的相关函数模型的研究现状;最后比较了大跨度结构考虑多维多点输入的抗震计算方法,包括反应谱法、时程分析法以及随机振动分析法。对今后关于这一问题所应开展的研究提出了建议。     

Perceptions of safety on a shared road: Driving,cycling, or walking near an autonomous vehicle

Introduction: While improved safety is a highly cited potential benefit of autonomous vehicles (AVs), at the same time a frequently cited concern is the new safety challenges that AVs introduce. The literature lacks a rigorous exploration of the safety perceptions of road users who will interact with AVs, including vulnerable road users. Addressing this gap is essential because the successful integration of AVs into transportation systems hinges on an understanding of how all road users will react to their presence. Methods: A stated preference survey of the Phoenix, Arizona, metropolitan statistical area (Phoenix MSA) was conducted in July 2018. A series of ordered probit models was estimated to analyze the survey responses and identify differences between various population groups with respect to the perceived safety of driving, cycling, and walking near AVs. Results: Greater exposure to and awareness of AVs are not uniformly associated with increases in perceived safety. Various attitudinal factors, level of AV automation, and other intrinsic and extrinsic factors are related to safety perceptions of driving, walking, and cycling near AVs. Socioeconomic and demographic characteristics, such as gender, age, income, employment, and automobile usage and ownership, have various relationships with perceived safety. Conclusions: Cycling near an AV was perceived as the least safe activity, followed by walking and then driving near an AV. Both similarities and differences were observed among the factors associated with the perceived safety of different travel alternatives. Practical Applications: Public perception will guide the development and adoption of AVs directly and indirectly. To help maintain control of public perception, transportation planners, decision makers, and other stakeholders should consider more deliberate and targeted messaging to address the concerns of different road users. In addition, more careful pilot testing and more direct attention to vulnerable road users may help avoid a backlash that could delay the rollout of this technology.