GNSS 监测数据预处理在变形预测中的应用

GNSS监测技术被广泛应用于变形监测工作中,但GNSS监测数据中会有缺失值、噪声等误差的存在,对预测结果造成影响。引入改进的小波神经网络模型进行变形预测,并考虑该模型的自适应性和容错性,分别采用三次样条插值法、小波滤波法和拉依达准则对原始监测数据进行缺失值填补、去噪和粗差剔除等预处理。并利用实际监测数据进行短期预报分析,对比原始监测数据和预处理后的监测数据的预测结果,结果表明预处理后的监测数据的预测效果更好。     

利用端元光谱内插的青海植被覆盖度估算研究

针对利用像元二分模型估算植被覆盖度的精度不高的问题,该文基于OSAVI,提出了选定模型参数(OSAVIs和OSAVIv)的方法,并将该方法应用于青海省植被覆盖度估算。该方法通过高分辨率影像在研究区内选取纯裸地和纯植被样点,并将纯裸地样点的OSAVI作为纯裸地样点像元的OSAVIs,将纯植被样点的OSAVI作为纯植被样点像元的OSAVIv,利用样点像元的OSAVIs和OSAVIv值,通过普通克里金内插法,求得研究区每个像元对应的OSAVIs和OSAVIv。经精度验证结果表明:此方法较常规的参数选取方法,RMSE由0.170降至0.156,MAE由0.137降至0.124。经进一步分析表明,此方法对边缘验证点和非边缘验证点的估算精度都有所提高,由于配准误差和周围地表漫反射的影响,边缘验证点的估算精度低于对非边缘验证点的估算精度。     

动力学模型预测深海鲣鱼(Katsuwonus pelamis)调理食品常温下的货架期

为了预测鲣鱼(Katsuwonus pelamis)调理食品的货架期,将鲣鱼调理食品贮藏在25°C、30°C、35°C温度条件下,通过测定在贮藏期间菌落总数、挥发性盐基氮、过氧化值三个指标的变化,分别对这三个指标与贮藏时间、温度建立一级动力学模型,来预测鲣鱼调理食品的货架期。经计算得出,菌落总数预测模型中的活化能(Ea)及指前因子(k0)分别为30.96 k J/mol和2.06×103,挥发性盐基氮预测模型中的的活化能及指前因子分别为24.35 k J/mol和75.1,过氧化值预测模型中的活化能及指前因子分别为48.75 k J/mol和2.92×106。在32°C和37°C条件下验证动力学模型,结果表明相对误差分别为–5.52%和–6.45%,准确性较好。进一步推算得出,在18°C和23°C常温下贮藏鲣鱼调理食品,产品的货架期为209d和172d。     

Atmospheric insight to climatic signals of δ~(18)O in a Laohugou ice core in the northeastern Tibetan Plateau during 1960–2006

δ~(18)O variations;;ice core;;outgoing longwave radiation;;meridional wind;;northeastern Tibetan Plateau     

20世纪40年代初以来中国大陆沿海主要海湾形态变化

受气候变化和人类活动的影响,中国海岸带正在经历各种剧烈的变化,海湾形态变化是其中的一个重要方面.基于地形图资料与遥感影像提取20世纪40年代初至2014年7个时相的中国大陆沿海主要海湾的空间信息,进而分析海湾岸线类型结构,开发利用程度和空间位置的变化特征,以及海湾面积,形状和重心分布的变化特征.结果表明,20世纪40年代初以来,中国大陆沿海主要海湾的形态变化显著且复杂,主要体现为:海湾岸线的结构变化显著,自然岸线的长度和比例急剧减少;海湾岸线的开发利用程度持续增强;海湾岸线普遍背陆向海运动;海湾面积普遍大幅萎缩;海湾形状总体趋向复杂但个体间的差异在缩小;海湾重心分布位置普遍背陆向海迁移;海湾变化具有显著的时空差异性等.总的来说,以围填海为主的人类活动是导致海湾发生上述变化特征的主要原因.通过研究,指出应该对中国的海湾进行功能定位划分和分类管理,通过强化以海湾为基本单元的管理,促进中国海岸带综合管理能力的提高和管理目标的实现.     

Glacier changes in the eastern Nyainqêntanglha Range of Tibetan Plateau from 1975 to 2013

Maritime-type glaciers in the eastern Nyainqêntanglha Range, located in the southeastern part of the Tibetan Plateau, are an important water source for downstream residents and ecological systems. To better understand the variability of glaciers in this region, we used the band ratio threshold(TM3/TM5 for the Landsat TM /ETM+ and TM4/TM6 for Landsat OLI) to extract glacier outlines in ~1999 and ~2013. After that, we also generated a series of glacier boundaries and monitored glacier variations in the past 40 years with the help of the Chinese Glacier Inventory data(1975) and Landsat TM, ETM+ and OLI data. The total glacier area decreased by 37.69 ± 2.84% from 1975 to 2013. The annual percentage area change(APAC) was ~1.32% a-1 and ~1.29% a-1 in the periods 1975-1999 and 1999-2013, respectively. According to the lag theory, the reaction time is probably about 10 years and we discuss the variations of temperature and precipitation between 1965 and 2011. Temperature and precipitation increased between 1965 and 2011 at a rate of 0.34°C /10 a and 15.4 mm/10 a, respectively. Extensive meteorological data show that the glacier shrinkage rate over the period may be mainly due to increasing air temperature, while the increasing precipitation partly made up for the mass loss of glacier ice resulting from increasing temperature may also lead to the low APAC between 1999 and 2013. The lag theory suggests that glacier shrinkage may accelerate in the next 10 years. Small glaciers were more sensitive to climate change, and there was a normal distribution between glacier area and elevation. Glaciers shrank in all aspects, and south aspects diminished faster than others.