2021 Turkey mega forest Fires: Biodiversity measurements of the IUCN Red List wildlife mammals in Sentinel-2 based burned areas

Mega wildfires are one of the environmental disasters worldwide. This study evaluates the pre-fire species diversity and the indirect effects, including habitat loss for one of the largest wildfires in Manavgat (Antalya-Turkey) in 2021, with a two-step methodology. Here, (1) burnt areas in the Manavgat district (2021) were detected with remote sensing data from Sentinel-2A by delta Normalized Burn Ratio calculation for a selected area in Google Earth Engine, and (2) mammals' habitat vector data of International Union for Conservation of Nature (IUCN) Red List were integrated into Habitat and Biodiversity modelling of Terrset to analyze the alpha, beta, gamma diversity and Range Restriction Index for the wildfire region. In the total 4210 km² study area, 696 km² of the area was damaged by different fire severity; also, there were 56 mammal species' habitats here. These species include bats (i.e. Nyctalus leisleri), felids (i.e. Felis chaus), rodents (i.e. Rattus norvegicus) and large mammals (i.e. Ursus arctos). 88 % of these species are in IUCN's Least Concern category. The remaining classes are Near Threatened (3.7 %) and Vulnerable (7.4 %). This study also indicated that the burnt area's species richness does not totally consist of endemic species. Therefore, pre-fire species richness analyses of this study can be a base for further studies about the species' post-fire activity and occupancy.Furthermore, the 2021 mega wildfires show us the necessity of wildfire monitoring and risk studies in the entire Mediterranean ecosystem to evaluate the risks to the Sustainable Development Goals. Therefore, post-fire spatial data, fire migration monitorization, and recording of the species' activities should be performed temporally. In this way, the ability of wildlife's recovering, and the direct and indirect effects of the fire will be examined for ecosystems in the long term.     

不同强度磁暴期间热层大气密度响应特征分析

利用CHAMP卫星数据，对2002-2008年12个不同强度磁暴事件期间的热层大气密度变化特征进行分析，并研究对应磁暴期间大气模式NRLMSISE-00分布特征.结果表明，大磁暴期间日侧大气密度峰值从高纬到低纬的时间延迟为2h，中小磁暴期间的延迟时间为3～4h；春秋季暴时大气密度分布基本呈南北对称分布，而夏冬季大气密度的分布是夏半球大于冬半球，春秋季暴时大气密度大于夏冬季；NRLMSISE-00大气模式得到的热层大气密度很好的体现了半球分布以及季节分布的特征，但模式模拟结果偏小；Dst指数峰值比ap指数峰值更能反应大气密度的变化情况.      

基于测试数据的卡箍非线性等效建模方法

为了快速准确地计算卡箍管路系统的振动响应，提出了基于测试数据的卡箍非线性等效建模方法。对卡箍直管系统进行低幅值激励的模态测试，利用试验数据对有限元模型进行修正，识别卡箍线性刚度、线性阻尼参数。对卡箍直管系统开展不同激励水平下的恒力测试，通过样条插值多项式法将恒力频响函数转换为恒位移、恒速度频响函数，并进一步识别卡箍非线性等效刚度、非线性等效阻尼，建立了考虑卡箍非线性的等效动力学模型。研究表明:该卡箍等效动力学模型的预测频响函数与试验频响函数的最大误差仅为-6.9%，可以有效地反映卡箍实际的刚度、阻尼特性，对解决卡箍管路系统的振动响应分析具有重要的指导意义。      

A new modeling scheme for powered parafoil unmanned aerial vehicle platforms: Theory and experiments

A novel framework is established for accurate modeling of Powered Parafoil Unmanned Aerial Vehicle (PPUAV). The model is developed in the following three steps: obtaining a linear dynamic model, simplifying the model structure, and estimating the model mismatch due to model variance and external disturbance factors. First, a six degree-of-freedom linear model, or the structured model, is obtained through dynamic establishment and linearization. Second, the data correlation analysis is adopted to determine the criterion for proper model complexity and to simplify the structured model. Next, an active model is established, combining the simplified model with the model mismatch estimator. An adapted Kalman filter is utilized for the real-time estimation of states and model mismatch. We finally derive a linear system model while taking into account of model variance and external disturbance. Actual flight tests verify the effectiveness of our active model in different flight scenarios.     

Which way is the bookstore? A closer look at the judgments of relative directions task

We present a detailed analysis of a widely used assay in human spatial cognition, the judgments of relative direction (JRD) task. We conducted three experiments involving virtual navigation interspersed with the JRD task, and included confidence judgments and map drawing as additional metrics. We also present a technique for assessing the similarity of the cognitive representations underlying performance on the JRD and map-drawing tasks. Our results support the construct validity of the JRD task and its connection to allocentric representation. Additionally, we found that chance performance on the JRD task depends on the distribution of the angles of participants’ responses, rather than being constant and 90 degrees. Accordingly, we present a method for better determining chance performance.     

增广误差模型算法在目标跟踪中的应用

针对目标机动运行过程中,滤波模型与机动状态模型失配的问题,提出了一种新的增广状态误差滤波模型。不同于现有增广方案,该模型从模型失配所致状态滤波误差的角度出发,将状态估计误差增广为一状态量,通过滤波估计后用其校正原状态量。算法分析表明,该增广滤波模型具有自适应调节多重渐消因子的等效特性,增强了对目标的跟踪能力。基于该增广状态误差滤波模型,给出了滤波算法设计并进行了仿真实验。实验结果表明,基于该模型的滤波算法在对机动目标进行跟踪时具有更强的鲁棒性。     

低排放燃烧室NO_x排放试验及预测方法研究

为了研究中心分级贫油低排放燃烧室的排放特性和排放预测方法,针对一个低排放头部方案,在单头部燃烧室试验件上,在不同的温度、压力、油气比、供油模式和分级比条件下,测量其排放性能。以Lefebvre排放经验预测公式为基础,采用经验分析方法拟合排放试验数据,归纳出适用于本头部方案的排放预测公式。表征预测好坏的判定系数R2在小工况下和大工况下分别为0.95和0.93,表明预测结果与试验结果符合度较好。小工况和大工况排放特性不同,对仅预燃级喷油的小工况工作模式,NO_x排放主要受化学恰当燃烧温度和预燃级局部当量比的影响;对预燃级和主燃级同时喷油的大工况工作模式,NO_x排放主要受燃烧区温度和主燃级燃油比例的影响。     

惯导系统旋转机构轴承动力学建模方法研究

旋转机构是旋转调制捷联惯导系统的关键部件之一。为了精确模拟旋转机构的动力学特性,研究了支撑旋转轴系的双列球轴承的动力学建模方法,提出了使用Bushing单元来建立同时具有径向移动刚度、轴向移动刚度和径向角刚度的三向刚度轴承动力学模型的方法。利用有限元数值仿真方法计算了三向刚度数值,并利用轴承手册上的经验公式进行了验证。在此基础上,建立了含弹性轴承支撑的旋转调制捷联惯导系统旋转机构的结构动力学有限元模型,分析比较了轴承有无角刚度两种状态下的固有模态。分析结果表明:对于旋转调制捷联惯导系统旋转机构来说,轴承模型角刚度对计算精度的影响较大,角刚度已知的模型更接近真实情况。     

空间站燃烧科学实验系统设计

建立空间站燃烧实验系统，可满足未来空间微重力燃烧实验系统需求.通过空间站微重力燃烧实验研究，可拓展空间燃烧学研究.根据所要实现的功能及燃烧实验需求，对中国空间站燃烧柜的燃烧科学实验系统进行了设计和分析.燃烧科学实验系统由8个子系统组成，是一个适合开展气、液、固多种燃料燃烧实验的综合性实验系统.考虑到强度设计要求，在完成方案设计后，对系统进行了有限元分析，并在研制的结构件上进行了力学环境实验.实验与分析结果表明，本文设计的实验系统能够满足环模实验的要求，结构合理可行.