NDVI dynamic changes and their relationship with meteorological factors and soil moisture

Normalized difference vegetation index (NDVI) is an important indicator for measuring vegetation coverage, which is of great significance for evaluating vegetation dynamics and vegetation restoration. It can clearly analyze the suitable growth condition of vegetation by studying the relationship between meteorological factors, soil moisture and NDVI. Based on MODIS/NDVI data, the spatio-temporal characteristics of vegetation coverage in the Weihe River Basin (WRB) were analyzed by the trend analysis method. The relationship of NDVI with meteorological factors and NDVI with soil moisture simulated by the soil and water assessment tool (SWAT) model was analyzed in this paper. The results show that NDVI values gradually change with an increase from north to south in the WRB. The maximum of the average monthly NDVI is 0.702 (August) and the minimum is 0.288 in February from 2000 to 2015. The results of the seven grades of NDVI trend line slope indicate that the improvement area of vegetation coverage accounts for 30.93% of the total basin, and the degradation area and basically unchanged area account for 23% and 42.9%, respectively. The annual mean soil moisture is 19.37% in the WRB. There was a strong correlation between NDVI and precipitation, temperature, evaporation and soil moisture, and the correlation coefficients were 0.78, 0.89, 0.71 and 0.65, respectively. The ranges of the most suitable growth conditions for vegetation are 80–145 mm (precipitation), 13–23 °C (temperature), 94–144 mm (evaporation) and 25–33% (soil moisture), respectively.     

基于支持向量机的喀斯特山区土壤环境质量评价——以贵州北部一茶叶园区为例

以贵州北部一茶叶园区80个表层土壤样品为研究对象,对其Hg、As、Cd、Pb、Cr和Cu含量进行测定,在MATLAB中应用支持向量机构建土壤环境质量评价模型,并与模糊综合评价法和内梅罗综合污染指数法的评价结果对比分析,探究支持向量机模型在喀斯特山区土壤环境质量评价中的适用性,其结果表明:研究区土壤质量Ⅰ类与Ⅱ类样品比例为33∶7,土壤环境质量大多数为I类;支持向量机方法的评价结果与模糊综合评价法和内梅罗综合污染指数法结果的相同率分别达到82.5%和80.0%,并分析结果有差异的样品,发现支持向量机评价结果更符合实际情况,这说明该模型适用于土壤环境质量的评价。      

Polar WRF模式海冰密集度方案对北极海雾模拟效果的个例研究

全球变暖的背景下,北极航线的常规通航甚至商业运营有望实现,而海雾会严重影响航道上船只的航行安全。海冰的存在使海气之间相互作用变得更为复杂,是研究北极海雾不可忽略的因素。船载观测发现,与中纬度常见平流冷却雾形成时气温下降速度往往超过海水降温速度不同,北极海雾发生时海冰的存在还会使海水降温速度超过空气降温速度。然而目前海冰分布是否会影响模式模拟海雾的准确性还不得而知,因此本文利用Polar WRF（Polar Weather Research and Forecasting）模式模拟了中国第七次北极考察中观测到的一次海雾过程,并进行海冰密集度敏感性试验。通过与船载观测和欧洲中期天气预报中心再分析数据比对发现,在低浮冰区内（海冰密集度小于50%）考虑海冰分布时可以更加准确地刻画潜热通量与水汽通量,模拟出与观测事实相符的表层空气降温与增湿过程以及相对湿度的变化,因此能够更好地刻画海雾的三维结构及其生消演变。     

高分二号卫星影像自适应模糊阈值法小波去噪

高分二号卫星影像提供了丰富的图像信息,高分二号影像数据的发布打破了我国高分辨率对地观测数据长期依赖进口的局面。但是图像在传输和保存过程中会有噪声干扰,如果感兴趣区域受到污染,则会导致该区域内的影像信息不能被充分利用。为了解决高分二号遥感影像去噪这一难题,本文采用自适应模糊阈值法去噪方式,该方法根据各个尺度下噪声方差建立的自适应模糊阈值函数非线性处理后,重新构造作为新的小波系数,经小波逆变换后得到去噪图像。通过与均值滤波器滤波、高斯平滑滤波、中值滤波器滤波、小波全局阈值去噪和Birge-Massart策略阈值法去噪比较,结果表明,自适应模糊阈值去噪法充分结合软硬阈值处理方式的优点,既保留图像细节又使图像更加平滑,图像整体信息完好,去噪效果更为理想。     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

西昆仑-喀喇昆仑造山带锂矿成矿特征与成矿规律初探

西昆仑- 喀喇昆仑造山带中生代花岗伟晶岩相当发育,主要分布于麻扎- 康西瓦缝合带以南的喀喇昆仑造山带,构成了西自木吉—塔什库尔干,东到大红柳滩长达600 km的喀喇昆仑稀有金属成矿带。通过多年的研究,本文对西昆仑- 喀喇昆仑造山带37处稀有金属矿床(点)进行了全面系统的梳理,认为喀喇昆仑- 喀喇昆仑造山带表现为“西铍东锂”的格局,稀有金属成矿年龄集中213~206 Ma。将喀喇昆仑造山带稀有金属成矿带划分为木吉- 塔什库尔干稀有金属成矿亚带、赛图拉- 大红柳滩稀有金属成矿亚带,从西向东可划定4个矿化集中区：木吉- 布伦口稀有金属集中区、塔什库尔干- 塔吐鲁沟稀有金属矿化集中区、康西瓦稀有金属矿化集中区、大红柳滩- 白龙山稀有金属矿化集中区。同时,认为西昆仑- 喀喇昆仑造山带西段下一阶段的找矿可放在西合休南锂铍找矿远景区、阿然保泰铍找矿远景区、木吉西锂铍找矿远景区。     

大涡技术对模拟台风眼墙替换过程的影响

眼墙替换是影响台风强度和内核结构的一种重要过程。本研究在高分辨率的数值理想试验中加入大涡模拟技术,对比分析大涡模拟对眼墙替换过程的影响。结果表明:大涡模拟的加入使得模拟台风的强度和边界层入流增强。整个眼墙替换过程共用时约20～22 h,但大涡模拟试验中外眼墙形成更迅速,同时强度和上升运动偏弱。外眼墙完全取代内眼墙之后的台风强度超过替换过程之前的强度。此外,使用大涡技术可以更好地模拟出眼墙替换过程中内外眼墙之间的moat区下沉运动,结构特征与前人观测中所发现的结构特征一致。因此,在台风数值研究中引入大涡模拟技术,有助于更好地模拟眼墙替换过程中的台风结构特征和变化。     

青海团宝山花岗岩年代学、地球化学特征及其地质意义

青海省团宝山花岗岩位于南祁连东段,侵位于古元古代化隆群中.为了解其侵位时代、岩体成因和产出构造环境,利用LA-ICP-MS锆石U-Pb定年和地球化学测试方法对团宝山花岗岩岩体样品进行分析.获得其锆石U-Pb年龄为(776±8)Ma;该岩体SiO2、Al2O3和K2O含量较高,而FeOT、MgO和CaO含量较低,K2O/...     

翻转课堂+多维度考核体系下的工程测量学实践教学改革

工程测量学是测绘工程专业的核心课程,是实际测绘工作过程中应用最多的课程之一,其实践教学效果的好坏直接影响学生毕业后的就业质量。本文针对当前工程测量学实践教学当中存在的突出问题,提出了以翻转课堂+多维度考核体系并重的实践教学模式,经过两年的教学改革,在实践内容、实践教学方法和考核体系等方面取得了丰硕的研究成果,并在其他课程中推广应用。     

一种卫星导航抗干扰处理器低功耗设计方法

提出一种适用于全球卫星导航系统(GNSS)智能天线的低功耗抗干扰处理器设计方法. 通过改进GNSS抗干扰架构中混频器的设计,优化掉数字高中频混频器和滤波器. 为进一步降低功耗和硬件资源占用,引入输出双倍速率寄存器(ODDR)技术,实现高中频信号的直接合成. 实验测试结果表明,本设计功耗降低11％,硬件资源减少14％,可应用到GNSS智能天线系统中.