再入飞行力热环境预测与试验技术研究进展

总结了近5年来再入飞行力热环境预测与试验技术的研究进展.针对高速绕流流场引起的宽频声振环境和瞬态热环境,调研了国内外在上述环境的数值模拟预测、等效模拟试验和试验观测方面的最新研究情况和目前仍面临的难点问题.重点介绍了中物院总体所围绕再入飞行力热环境预测与试验方面开展的研究工作和已取得的部分研究成果.提出了后续研究方向和...     

沈阳市煤炭行业大气污染物排放调查及污染当量数核算

通过对沈阳市具有代表性的几家煤矿企业废气污染物排放状况的监测研究,由此核算该行业主要大气污染物产生量,各污染因子的污染当量数,并确定了生产单位产品时产生的废气排污费征收额度,为大气污染物排放总量的控制管理提供技术依据。     

The performance of RAMS in representing the convective boundary layer structure in a very steep valley

Data from a comprehensive field study in the Riviera Valley of Southern Switzerland are used to investigate convective boundary layer structure in a steep valley and to evaluate wind and temperature fields, convective boundary layer height, and surface sensible heat fluxes as predicted by the mesoscale model RAMS. Current parameterizations of surface and boundary layer processes in RAMS, as well as in other mesoscale models, are based on scaling laws strictly valid only for flat topography and uniform land cover. Model evaluation is required to investigate whether this limits the applicability of RAMS in steep, inhomogeneous terrain. One clear-sky day with light synoptic winds is selected from the field study. Observed temperature structure across and along the valley is nearly homogeneous while wind structure is complex with a wind speed maximum on one side of the valley. Upvalley flows are not purely thermally driven and mechanical effects near the valley entrance also affect the wind structure. RAMS captured many of the observed boundary layer characteristics within the steep valley. The wind field, temperature structure, and convective boundary layer height in the valley are qualitatively simulated by RAMS, but the horizontal temperature structure across and along the valley is less homogeneous in the model than in the observations. The model reproduced the observed net radiation, except around sunset and sunrise when RAMS does not take into account the shadows cast by the surrounding topography. The observed sensible heat fluxes fall within the range of simulated values at grid points surrounding the measurement sites. Some of the scatter between observed and simulated turbulent sensible heat fluxes are due to sub-grid scale effects related to local topography.     

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.     

城市大气污染综合治理规划方法

以北京市2008年三种主要大气污染物PM10、SO2及NOx环境空气质量达标方案的设计为案例，从城市大气污染综合治理规划方法学角度，提出并发展了一套包括环境空气质量的模拟、城市背景浓度的确定、优化模型、传输矩阵、分区规划、等效排放、措施信息库等方法在内的城市大气污染综合治理规划问题的整体解决的技术方案，为全国其它类似城市进行大气污染综合治理规划提供一种实例与参考，同时，研究的结果对北京市2008年大气污染控制对策的制定提供了科学的依据。     

等效阻尼比对基于位移的抗震设计的影响分析

等效阻尼比是基于位移抗震设计中确定等效周期的一个关键参数。通过对不同研究者提出的等效阻尼比模型进行比较研究,重点讨论了滞回模型、延性系数和等效周期对等效阻尼比的影响。结果表明,不同等效阻尼比模型的总体变化趋势是一致的;滞回模型对等效阻尼比有很大影响,Ramberg-Osgood模型的等效阻尼比是Flagshaped模型的2.56倍;等效阻尼比随着延性系数的增大而增大,尤其在μ=2～4范围内变化幅度最大;短周期与中长周期等效阻尼比相差2倍多,故等效周期小于1 s时,必须考虑其对等效阻尼比的影响。     

一种新的扇区拥挤告警指标及应用

针对我国管制扇区日益繁忙拥挤、空管保障系统的相对落后,扇区流量告警机制尚不健全的现状,在分析和研究美国、欧洲、日本扇区流量告警机制基础上,提出当量流量告警指标的概念;采用MMBB工作负荷评估方法确定不同特征航班对应的当量系数,计算出扇区的当量流量,建立一种新型的扇区流量告警方法;应用算例的结果验证了当量流量告警指标在扇区流量告警工作中的有效性和实用性。     

加速腐蚀当量加速关系研究方法综述

为了进一步研究当量加速关系,归纳了现有腐蚀损伤当量化的研究方法,详细介绍了基于电化学原理、物理参量和力学损伤的当量折算法,讨论了各种方法的优劣和所适用范围。基于电化学原理的当量加速关系研究方法适合用于制定飞机金属结构加速试验环境谱,以物理参量为基准的当量折算法适用于建立疲劳关键部位、腐蚀关键部位的涂层及金属基体等各种加速试验环境谱的当量加速关系,力学损伤对比法适合用于结构疲劳关键部位。最后得出针对不同材料、不同部位应该采用不同的当量加速关系的结论。     

颗粒物分界层Mie散射激光雷达识别的sigmoid算法

基于成都市2013年6月~2015年5月期间由Mie散射激光雷达探测的大气消光系数廓线资料,发现混合层以上在颗粒物消光和分子消光之间一致存在一个S型的过渡区,利用sigmoid函数对此分布形态进行模拟,通过计算该函数上下曲率最大点所在的高度,据此提出了颗粒物分界层Mie散射激光雷达识别的sigmoid算法.针对该算法模拟效果的分析表明,颗粒物分界层过渡区附近大气消光系数理论廓线和实测廓线保持了高度的相关性,二者在春夏秋冬四季的相关系数（R）分别为0.9971±0.0052、0.9935±0.0167、0.9979±0.0038和0.9990±0.0021（均通过α=0.05的显著性检验）.基于sigmoid算法计算的颗粒物分界层过渡区与成都市温江站探空资料得到的逆温层之间存在很好的对应关系.     

Exploring the spatial dimension of community-level flood risk perception: a cognitive mapping approach

Environmental perceptions are central to individuals’ behavioural interactions with the environment. Cognitive maps, portraying a spatial representation of an individual’s environmental perception, can be aggregated to gain insight into the collective environmental perception of groups and populations. This paper uses cognitive mapping techniques to examine one aspect of environmental perception, flood risk perception, within a residential population (n?=?305). Flood risk perception was examined for the whole sample and six subgroup pairs. Using subgroups allowed examination of how factors previously shown to influence flood risk perception influence the cognitive map production in this population. We use a novel technique (slope analysis) to examine how the population’s perception of flood risk compares with expert assessments of flood risk, and compare the results of this novel technique with a commonly used cognitive map analysis technique (majority threshold method). Both methods identify areas where there is consensus within the population as to which areas are at risk of flooding. However, slope analysis usefully identifies areas where the population’s perception of flood risk lacks consensus, and is at odds with expert assessments of flood risk, without the loss of information inherent in the majority threshold method. Thus, this technique provides a novel approach to studies of environmental perception that can be widely applied within many fields.