辽宁省低碳经济发展水平评价

构建包含经济系统、能源系统、碳排放系统、技术投入系统和环境系统5个准则层及23个指标的低碳经济发展水平评价体系,基于可变模糊识别模型,分析评价辽宁省低碳经济发展水平。结果显示:辽宁省低碳经济发展水平由2004年的2.87提升到2014年的3.01,由中碳偏高水平提升到中碳发展水平。沈阳、大连、丹东、锦州、营口和葫芦岛的低碳经济发展水平较高;鞍山、抚顺、本溪、盘锦、辽阳及铁岭的低碳经济发展水平较低。在此基础上,运用SBM模型测算辽宁省各市的碳排放效率,其结果与低碳经济发展水平评价值有较大关联。     

A linear tessellation model to identify spatial pattern in urban street networks

Street patterns reflect the distribution characteristics of a street network and affect the urban structure and human behavior. The recognition of street patterns has been a topic of interest for decades. In this study, a linear tessellation model is proposed to identify the spatial patterns in street networks. The street segments are broken into consecutive linear units with equal length. We define five focal operations using neighborhood analysis to extract the geometric and topological characteristics of each linear unit for the purpose of grid-pattern recognition. These are then classified by Support Vector Machine, and the result is optimized based on Gestalt principles. The experimental results demonstrate that our method is effective for mining grid patterns in a street network.     

面向下一代灵活光网络的数字相干光传输技术

为了适应不同颗粒度的业务需求,最大化波分复用传输系统的频谱效率,光网络正逐渐朝着更灵活、高效、节能的趋势发展.基于带宽可变收发机（BVT）的灵活光网络传输技术因而得到了广泛的关注与研究.本文概述了国内外支持灵活光网络的数字相干光传输技术的最新研究进展,包括发射端支持传输速率可变的自适应编码、调制技术以及接收端相应的调制码型识别技术,最后对灵活光网络传输的未来研究方向进行了展望.     

长株潭城市群污染空间识别与污染分布研究

利用Arc-GIS空间分析软件对各类型污染进行空间识别和分布模拟,探究长株潭城市群污染空间分布特征。结果显示：① 该区大气环境污染以扬尘和煤烟型为主,主要污染物为可吸入颗粒物和二氧化硫,重点污染区域在长沙、株洲、湘潭三市主城区,呈点状分布;② 该区水域整体水质基本达标,水体环境污染以氨氮和各类重金属为主,且有明显的季节变化规律;③ 土壤污染覆盖范围较广,以株洲市的石峰区为代表,以镉污染最为严重,主要原因为重化工业排污累积。总之,株洲污染最严重,湘潭和长沙次之。污染空间的形成与长株潭城市群的地形地势及三类污染元素之间的转化有较大关联。     

变形监测信号消噪的不确定度

变形表现为一种弱信号,误差呈现为强噪声。小波包分解消噪是对分解中所得到的高频部分再继续细分,因此具有更精细的消噪能力。采用最优小波包基进行信号重构的过程中,信号有一定的损失。若将消噪过程近似成拟合,拟合误差符合正态分布,可以采用假设检验法估计信号重构误差的区间,进而确定信号重构误差的不确定度,评价小波包消噪的质量。     

2021-04-16河北滦州MS4.3地震前的大气电场异常信号分析

中国科学院国家空间科学中心分布在天津市宝坻区和廊坊市永清县的2个观测台站在2021-04-16河北滦州M_S4.3地震前均观测到大气电场异常。宝坻站监测到过境云与地质活动混合型电场异常信号;永清站监测到湾型持续电场异常信号,属于典型的临震前小时尺度先兆信号,其幅度和持续时间均明显高于宝坻站的异常电场信号。对比电场异常期间2个台站的气象活动和空间天气活动发现,虽然2台站电场异常信号的表现方式不同,但背景变化中均隐含大型地质活动信号。分析结果表明,未来可通过分析多源活动导致的空间静电演变过程,形成有效的识别方法,在一定的气象活动范围内,从大气静电监测数据中提取中等以上强度地震的前兆信息。     

Short-term variabilities of upper ocean current in the warm pool region during TOGA/COARE IOP

Oceanic current data in the warm pool region of the western equatorial Pacific measured by upward-looking moored Acoustic Doppler Current Profilers at two equatorial sites (147°E and 154°E) and two off-equatorial sites (2°N and 2°S, 156°E) during TOGA/COARE Intensive Observing Period (IOP) from November 1992 to February 1993 are used to examine short-term variabilities in the upper layer above 160–240 m. In time series of the zonal and meridional currents in many layers, spectral peaks are found at periods around 2 days and 4 days in addition to high energies in a period range longer than 10 days. The signal with the period of about 2 days has significantly high energies at all sites, and its magnitude is higher for the meridional current than for the zonal one. This signal is especially active in the first half of IOP from November to December in 1992. In this period, the quasi-2-day signal in the current field is coherent between northern (2°N) and southern (2°S) stations, but it has no evident relationship with that in the surface wind field around the stations. The quasi-4-day signal with the period of about 4 days has highest energies in layers above 160 m at the southern station, and is coherent between northern and southern stations. Besides, the signal at the station of 2°S has a significantly high coherence with that in the wind at the southern station, suggesting that it is a local phenomenon.     

瞬变电磁勘探中早期信号的检测方法研究

瞬变电磁法实时检测早期信号要求瞬变电磁仪具有很快的时间响应,这就需对仪器设计提出很高的要求。本文提出了一种利用采样原理结合软件编程处理进行早期信号检测的实用方法,模拟结果表明该检测方法具有一定的可行性。      

基于知识的点状符号自动识别

文中根据地形图黑版要素中点状符号的特点,总结了6种易于表达的知识特征,并据此提出了一种基于知识的点状符号识别方法。     

广西前汛期大涝年预报因子分析

通过对高原地面气温,热带海表面温度和南半球气旋资料的普查分析,经验性地挑选并提出１月份拉萨地面气温距平４月份赤道东西太平洋海表温度梯度,４月份赤道印度洋海表升温幅度,１月份南半球低纬气旋数等４种能提前１－２个月比较准确地预警广西前汛期大涝的因子,指出高原热状况,热带海洋行为,南半球低纬大气的斜压性是影响广西前汛期雨量的重要因素。