北淮阳东段西汤池岩体地球化学特征、锆石U-Pb定年及成因

西汤池岩体位于安徽北淮阳地区舒城县西汤池一带。西汤池似斑状二长花岗岩具高硅、富碱质特征,为铝饱和碱性系列岩石。稀土元素含量中等,(La/Yb)_N与HREE/LREE值较高,重稀土相对轻稀土亏损明显,Eu呈弱负异常,属轻稀土富集型。大离子亲石元素(Rb、K、La、Nd等)明显富集,而高场强元素(Nb、Ta、P、Ti等)亏损。通过LA-ICP-MS锆石U-Pb定年,获得西汤池二长花岗岩~(206)Pb/~(238)U年龄为(125.5±1.6)Ma,为早白垩世岩浆活动的产物。基于前人关于北淮阳地区区域地质背景方面的研究成果和本次地球化学构造环境判别方面的研究,认为西汤池二长花岗岩属A_1型花岗岩,形成于后碰撞的伸展构造环境。     

Research Progress and Prospect on Reactivation of Ancient Landslides

The ancient landslide has endured long-term slope evolution which results in its complicated material and special rock-soil properties. The risk of ancient landslide reactivation is substantially increasing due to the increase of intensified human engineering activities and the frequency of extreme weather events. Many ancient landslides have been reactivated all over the world and led to serious fatalities and severe damage to many important engineering facilities such as transportation and hydropower engineering projects. On the basis of the analysis of the research situation about the ancient landslides at home and abroad, the main research advances were summarized including the regional developing laws and recognizing of the ancient landslides, the mechanics properties of ancient landslide body and related sliding zone, reactivation mechanism of ancient landslides, reactivating process and modeling analysis of ancient landslides, early recognization of ancient landslide reactivation, etc. To meet the demands of disaster prevention and reduction, three key scientific issues were put forward to be solved: ①automaticaly establishing the methodology and identification criterions for recognition of ancient landslide; ②revealing the reactivation mechanism of ancient landslide based on a new strength theory; ③establishing the early rapid recognition method and predictive model for ancient landslide reactivation. Solving the above mentioned scientific theory and methodology will facilitate the planning and site selection of major projects as well as the disaster prevention and reduction in ancient landslide developing areas.     

一种基于属性值变化程度定权的聚类算法

针对经典K-means聚类算法以欧氏距离作为相似度判断法则进行聚类划分,而未考虑聚类对象的各属性值对聚类划分的影响程度存在差异的问题,该文提出了一种基于属性值变化程度定权的聚类算法。通过采用Iris dataset数据进行实验,该算法相对于其他聚类算法获得了更好的聚类效果,且该算法适用于生物物种分类、遥感影像识别等工作领域,能提高聚类运算的精准度。     

GPS高层建筑物动态特性的小波分析提取

针对高层建筑物GPS动态监测数据特点,该文将小波分析技术应用于高层建筑物动态特性提取,研究了数据处理时4种阈值选取准则的好坏,针对观测数据不同阶段振幅和频率不同,提出分段、分层处理数据的思想,为了获得更全面的观测信号,将小波包分析应用于数据处理。结果表明:自适应阈值准则更适用于高层建筑物动态数据处理,采用分段分层的处理方法,既能满足去噪要求又能提取丰富的变形信息,小波包分析能有效提取高层建筑物动态特性,保留更多的动态信息。     

Network-based triple-frequency carrier phase ambiguity resolution between reference stations using BDS data for long baselines

Network-based ambiguity resolution (AR) between reference stations is the prerequisite to realize a precise real-time kinematic positioning service. With the help of BDS triple-frequency signals, we can efficiently deal with the ionospheric delay and tropospheric delay, and achieve rapid and reliable AR. To overcome the inaccurate ionospheric delay estimated by the geometry-free three carrier ambiguity resolution (GF TCAR) technique, which leads to failure in the original ambiguity resolution, we propose an ionospheric-free (IF) TCAR method to resolve the ambiguity between the reference stations over long baselines. Taking full advantage of the known positions of the reference stations, the easily resolved extra-wide-lane (EWL) ambiguity, and the IF phase combinations, we can reliably fix the wide-lane (WL) ambiguity. A Kalman filter is applied to estimate precise IF ambiguities and the original ambiguity is resolved with the fixed WL ambiguity. A numerical analysis with triple-frequency BDS data from three long baselines of a CORS network is provided to compare the AR performance of GF TCAR with that of IF TCAR. The results show that both methods can reliably resolve the WL ambiguity with a remarkable correctly-fixed rate of higher than 99%, and the reliably-fixed rates of the IF TCAR slightly increase from 92.19, 94.67 and 94.61–98.26, 99.54 and 97.51% for the three baselines. Herein “correctly-fixed” and “reliably-fixed” mean the difference between the float ambiguity and the true one are less than ± 0.5 and ± 0.25 cycles, respectively. On the other hand, the AR performance of the original signals with the IF TCAR method is much better than that with the GF TCAR method attaining a 100% correctly-fixed rate, while the GF TCAR method can hardly fix the original ambiguity with the largest bias being as much as 4 cycles because of the amplified systematic bias.     

A new multipath mitigation method based on adaptive thresholding wavelet denoising and double reference shift strategy

Multipath disturbance is one of the major error sources in high-accuracy positioning for global navigation satellite system (GNSS). Although various methods based on software and hardware strategies have been developed to mitigate this error, they are still limited by different kinds of factors and the effect is not ideal. After analyzing the existing methods, a new single-difference sidereal filtering method, based on adaptive thresholding wavelet denoising and double reference shift strategy (ATDR), is proposed to mitigate multipath effects for static short-baseline GNSS applications. The key idea of the proposed method is the use of both the adaptive thresholding wavelet denoising to extract an accurate multipath correction model from the reference Day and the double reference shift strategy to mitigate multipath for subsequent Day 2 more accurately and efficiently. By applying the introduced adaptive thresholding method, the average improvement rate of the RMS values of the single-difference residuals can reach about 15.82% compared with the constant thresholding method. Moreover, after applying the proposed ATDR method, the 3D positioning precision is improved by about 37.73% for the single epoch mode with 30 s data sampling rate and about 31.22% for the continuous mode with 1 s high sampling rate compared with the original results. Even compared with the constant thresholding single orbital reference (CTSR) method, the improvement percentage is about 33.94% in single epoch mode and about 25.40% in continuous mode for 3D positioning precision, respectively. In conclusion, the results of the two experiments indicate that the proposed ATDR method performs much better than the CTSR method in mitigating multipath for different sampling rates and different processing modes in the measurement domain for GNSS static short-baseline postprocessing applications.     

Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models

This paper presents a spatial autoregressive (SAR) method-based cellular automata (termed SAR-CA) model to simulate coastal land use change, by incorporating spatial autocorrelation into transition rules. The model captures the spatial relationships between explained and explanatory variables and then integrates them into CA transition rules. A conventional CA model (LogCA) based on logistic regression (LR) was studied as a comparison. These two CA models were applied to simulate urban land use change of coastal regions in Ningbo of China from 2000 to 2015. Compared to the LR method, the SAR model yielded smaller accumulated residuals that showed a random distribution in fitting the CA transition rules. The better-fitting SAR model performed well in simulating urban land use change and scored an overall accuracy of 85.3%, improving on the LogCA model by 3.6%. Landscape metrics showed that the pattern generated by the SAR-CA model has less difference with the observed pattern.     

Examining human heat stress with remote sensing technology

Heat stress as an environmental hazard which can seriously affect productivity, health, or even survival of individuals has long been studied. Despite the endeavors that have been made to address the issue quantitatively with various heat stress indices, they are often measured at scatter sites. This research devotes to revealing human heat stress within continuous space with remote sensing technology. The study began with the retrieval of dry-bulb temperature from land surface temperature (LST) with empirical models. As wet-bulb temperature was calculated from dry-bulb temperature and relative humidity, discomfort index (DI) as an indicator of heat stress was revealed for the study area at 1 km spatial resolution for three summer days. Results indicated that DI can be derived within continuous space with remotely sensed data, and its spatial distribution can be dramatically affected by relative humidity. Further comparison between DI and LST indicated that LST as a widely utilized indicator of surface thermal condition fails to address human heat stress as environmental factors such as relative humidity are not taken into account.     

基于DEM的6种坡度提取算法的比较分析——以山东省青岛市为例

坡度是描述地形特征信息的一个重要指标,对于制订土地利用规划和防御地质灾害具有重要意义。本文基于山东省青岛市的ASTER GDEM数据,利用MATLAB进行矩阵运算,采用6种坡度提取算法分别获取坡度矩阵、最大值和中误差等统计指标,对比分析6种算法的提取精度。结果表明:简单差分算法出现极端和偏差情况的概率较高,可信度不高;三阶不带权差分和三阶反距离平方权差分算法比较稳定,偏差较小且精度较高,对沿海地区坡度提取具有借鉴意义。     

用于海上溢油监测的航海雷达图像降噪技术研究

航海雷达溢油监测技术具有大范围目标探测、工作方式灵活、能够适应恶劣天气的优势。而海上溢油监测技术应用的航海雷达原始图像数据中,含有大量的同频干扰、斑点、假目标等噪声,处理上述噪声是航海雷达海上溢油监测技术研究的首要工作。本文基于先锁定噪声位置,再消除噪声的思想,提出了一种有效的航海雷达原始回波图像的降噪技术。以大连716溢油事故中采集得到的数据进行试验,并分析处理结果,这种方法不仅能够很好地消除干扰噪声,而且能够有效地保护航海雷达原始回波图像中的海浪信息,为溢油监测技术研究提供了良好的数据基础。