协同多源遥感数据的北亚热带森林蓄积量贝叶斯分层估测

精确估算森林蓄积量是国家实现2060年前碳中和目标的迫切需求,而基于遥感的森林蓄积量定量反演是当前遥感应用领域面临的重要挑战和研究热点.光学遥感数据由于无法获取森林高度信息并存在信号饱和问题,反演森林蓄积量的精度较低,而机载Lidar数据能获取高度信息,但成本高、观测范围有限.本研究利用Sentinel-2多光谱、资源...     

Testing for sufficient signal resetting during sediment transport using a polymineral multiple-signal luminescence approach

We present a multiple luminescence signal measurement procedure that simultaneously measures six different luminescence signals from a single polymineral aliquot (i.e. multiple-signal, short MS-SAR approach). The six signals show different bleaching rates in bleaching experiments, ranging from rapid bleaching for the quartz dominated blue stimulated luminescence signal (measured at 125 °C, BSL-125), to the slow-bleaching polymineral thermoluminescence signal. The bleaching rate of the infrared stimulated luminescence (IRSL) measured at room temperature (IR-25) and elevated temperature post-IR IRSL (pIRIR-90, pIRIR-155, pIRIR-225) signals decrease with increasing measurement temperature. Owing to these different bleaching rates, the MS-SAR approach allows inference of the degree of bleaching, and thereby information on the transport history of sediments. We test this approach by applying the MS-SAR to four coastal samples from a well-monitored sand-nourishment site at the Dutch coast. Our results show that the proposed MS-SAR approach can be utilised to construct bleaching plateaus which provide an independent and time-effective measure of the degree of poor bleaching in a sediment sample based on the measurement of only a few large aliquots. We propose that the MS-SAR protocol can be used to profile the age, luminescence properties and degree of bleaching of minimal prepared polymineral. This pre-profiling will allow the selection of suitable samples for full luminescence dating analysis in a target-orientated and time-effective manner.     

Prediction of railway ground vibrations: Accuracy of a coupled lumped mass model for representing the track/soil interaction

Recent advances in railway-induced ground vibrations showed that the track/soil interaction plays an important role in the low frequency range. This paper contributes to the numerical analysis of train/track/foundation dynamics by presenting the accuracy of a coupled lumped mass (CLM) model devoted to the railway foundations and to the track/soil coupling. Following a summary of the background and the advantages of the CLM model, the coupling strategy is quantified through two application cases. Firstly, the dynamic track deflection is calculated for different railway lines considering various degrees of complexities of foundations. Then, the foundation responses are compared depending on whether detailed coupling is introduced or not. The benefit of the proposed model is emphasized by presenting free-field ground vibration responses generated by a tram and a high-speed train, obtained by a revisited two-step prediction model developed by the authors.     

基于WiFi信号室内定位技术的研究

主要对基于WiFi信号的室内定位技术中的三角形定位法进行了研究。鉴于现有的三角形定位模型受信号强度和环境干扰的约束影响,定位精度不高,提出了一种结合室内影响因素约束的权重改正定位模型,更加切合复杂的室内定位环境。通过试验测试和数据分析,经过加权去噪模型改正后的定位精度更高,适用性更广。     

天空光遮挡法水体光谱测量便携版漂浮式光学浮标研发与应用

离水辐亮度Lw(Water-leaving radiance)是水色遥感现场观测中的关键物理量之一,由其计算获得的遥感反射率Rrs(Remote sensing reflectance)是水色遥感参数反演的最基本参数.天空光遮挡法SBA(Skylight-blocked approach)可以直接测量水体离水辐亮度,作...     

Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea

In this paper, cluster analysis (CA), principal component analysis (PCA) and the fuzzy logic approach were employed to evaluate the trophic status of water quality for 12 monitoring stations in Daya Bay in 2003. CA grouped the four seasons into four groups (winter, spring, summer and autumn) and the sampling sites into two groups (cluster DA: S1, S2, S4-S7, S9 and S12 and cluster DB: S3, S8, S10 and S11). PCA identified the temporal and spatial characteristics of trophic status in Daya Bay. Cluster DB, with higher concentrations of TP and DIN, is located in the western and northern parts of Daya Bay. Cluster DA, with the low Secchi, is located in the southern and eastern parts of Daya Bay. The fuzzy logic approach revealed more information about the temporal and spatial patterns of the trophic status of water quality. Chlorophyll a, TP and Secchi may be major factors for deteriorating water quality.     

北京市住宅价格的影响因素及适宜居住面积标准

针对我国城市住宅市场中的问题,如何通过适宜的住宅面积标准来引导住房建设与消费是当前极为重要和紧迫的课题。然而已有的建筑学和比较研究等方法却存在较大的局限性,难以为政策提供有效的支撑。本文运用微观经济学的理论和方法对适宜居住面积标准的理论框架和方法进行探索,以北京市为例进行实证分析。从住房市场的经济分析出发,将住宅面积标准的优化界定为使消费者的边际效应最大化的问题。通过定量分析,提出适合于不同家庭的居住面积的建议值,并就如何合理地引导住宅建设与消费提出政策建议。根据分析结果,建议以50m²和80m²作为北京地区的适宜建筑面积标准。同时,从鼓励阶段性消费的政策视角出发,提出宜针对特定的目标层,通过减税、补贴等手段降低换购费用,从而创造引导居民理性消费的经济动机。     

浅埋隧道围岩应力场的计算复变函数求解法

对于受地表边界和地面荷载影响的浅埋隧道的围岩应力场,由于在数学处理上存在一定的困难,很难用解析解来进行分析,而通常采用边界元或有限元的数值方法来解答。为了求解浅埋隧道的应力场,采用边界配点来确定边界条件,同时用保角映射将一个含圆孔的半无限空间区域映射为圆环域,然后把这个区域内的解析函数展开成Laurent级数的形式,利用Muskhelishvili的复变函数理论和最小二乘法来确定解析函数的各项系数,从而求得浅埋隧道围岩压力的半数值、半解析解,最后通过算例给出了围岩应力的分布情况。计算结果表明,该方法计算精度高、计算量小,具有应用价值。     

K-means算法复杂度的能量分析方法

传统的算法复杂度分析方法重点对算法的内在流程进行分析,而且对于数据挖掘时具有很大不确定性,执行时间不能准确确定.用物理学原理从能量的角度对数据挖掘中的经典聚类算法K-means进行分析,并从算法的本质上推导出其复杂度下限,推导出该算法能优化到的极限值.     

隧道单层衬砌设计方法研究及应用

目前,在单层衬砌设计中应用较为广泛的是基于挪威法的Q系统支护设计法,但该方法涉及的参数有6个,在施工前及施工过程中测试这些参数经验性较强,准确性不高,而且费用较高;将Q法直接移植到中国的单层衬砌设计困难较大,不适合中国国情。在此背景下,提出以屈服接近度和围岩松动圈支护理论为基础的单层衬砌设计原则和方法,并结合合武铁路大别山隧道2号斜井进行了工程实践。首先通过地质勘查得到隧道所在地区的工程地质、水文地质特征以及围岩的物理力学指标,确定隧道围岩的屈服接近度,进而提出单层衬砌支护参数及喷射混凝土的力学控制指标,完成结构的预设计;根据隧道施工过程中实测的围岩松动圈范围,运用松动圈支护理论修正设计,从而形成一套完整的单层衬砌设计方法体系。实践表明,提出的单层衬砌设计方法经济适用、对施工干扰小,适合信息化施工,且施作完成的单层衬砌结构安全可靠,具有显著的经济效益和社会效益,有较大的推广前景。