低高度角大气静力学延迟修正的改进

进行低高度角观测是GPS(Global Positioning System)气象学的发展趋势,其中发展高精度的低高度角的大气静力学延迟修正是主要的关键技术.比较了3种计算无线电波从空间到地面接收机的大气静力学延迟修正方法:(1)在大气球对称假设下用探空气球资料路径积分得到大气静力学延迟;(2)在大气球对称假设下用NCEP(National Centers for Environmental Prediction)再分析资料得到大气静力学延迟;(3)用Niell的大气静力学映射函数得到大气静力学延迟.与2001年中国地区89个探空气球站资料计算得到的大气静力学映射函数比较结果显示:NCEP再分析资料路径积分的方法在低高度角(5°以下)的精度好于Niell映射函数模型约5倍.     

ARIMA-LSTM组合模型在基于SPI干旱预测中的应用——以青海省为例

开展干旱预测是有效应对干旱风险的前提基础。利用1958—2017年青海省38个气象站点逐日降水量数据计算多尺度标准化降水指数（SPI）,并建立了SPI序列自回归移动平均模型（ARIMA）、长短时记忆神经网络模型（LSTM）和基于二者优点提出的ARIMA-LSTM组合模型;对模型参数进行率定和验证后,利用所建立的模型,以西宁站点为例,对多尺度SPI值进行预测,借助均方根误差（RMSE）、平均绝对百分比误差（MAPE）和决定系数R²对所有预测模型的有效性进行判定。结果表明：ARIMA-LSTM组合模型在SPI1和SPI12的RMSE值分别为0.159 7和0.181 0,均低于ARIMA模型的1.265 4和0.293 3,说明ARIMA模型与ARIMA-LSTM组合模型对SPI的预测精度都与时间尺度有关,ARIMA模型的预测精度随着时间尺度的增加而逐渐提高;结合GIS并利用实测数据与模型的预测数据相比较说明ARIMA-LSTM组合模型相比于单一ARIMA模型的预测精度更高,且能够很好拟合不同时间尺度的SPI值。     

基于地名志的东北历史时期土地利用变化研究——以吉林省镇赉县为例

研究历史时期的土地利用与土地覆被变化,对于人类的生产活动有着重要的借鉴意义。本文以吉林省镇赉县为例,探讨了地名志等历史资料在确定东北地区大规模开发利用初始年限研究中的应用,并结合重分类、重心转移分析、叠加分析方法,分析了镇赉县地名志等史料记载的土地开发利用特征。结果表明:在康熙年间和1853年,镇赉县先后有过有记载的定居后小范围开垦活动,而直到1875年开始持续的土地开垦利用,此前镇赉县基本上处于自然状态。在技术手段不发达的早期,村屯的演变过程与土地开发利用过程是相辅相成的,因此,从村屯演变特征来看,1907-1912年期间土地开发利用最为突出;到1975年时,镇赉县村屯格局基本形成,而此时的土地开发利用活动已由个人行为转变为集体的机械化。在开禁等政策、自然灾害,以及战争等影响下,镇赉县土地开发呈由东部和中部的平坦地区向西部地势较高地区扩展的过程。     

More than Carbon Stocks： A Case Study of Ecosystem-based Benefits of REDD＋ in Indonesia

During the 15th Conference of the Parties(COP 15),Parties agreed that reducing emissions from deforestation and forest degradation and enhancing ’removals of greenhouse gas emission by forests’(REDD+) in developing countries through positive incentives under the United Nations Framework Convention on Climate Change(UNFCCC) was capable of dealing with global emissions.As REDD+ seeks to lower emissions by stopping deforestation and forest degradation with an international payment tier according to baseline scenarios,opportunities for ecosystem benefits such as slowing habitat fragmentation,conservation of forest biodiversity,soil conservation may be also part of this effort.The primary objective of this study is to evaluate ecosystem-based benefits of REDD+,and to identify the relationships with carbon stock changes.To achieve this goal,high resolution satellite images are combined with Normalized Difference Vegetation Index(NDVI) to identify historical deforestation in study area of Central Kalimantan,Indonesia.The carbon emissions for the period of 2000-2005 and 2005-2009 are 2.73 × 10 5 t CO 2 and 1.47 × 10 6 t CO 2 respectively,showing an increasing trend in recent years.Dring 2005-2009,number of patches(NP),patch density(PD),mean shape index distribution(SHAPE_MN) increased 30.8%,30.7% and 7.6%.Meanwhile,largest patch index(LPI),mean area(AREA_MN),area-weighted mean of shape index distribution(SHAPE_AM),neighbor distance(ENN_MN) and interspersion and juxtaposition index(IJI) decreased by 55.3%,29.7%,15.8%,53.4% and 21.5% respectively.The area regarding as positive correlation between carbon emissions and soil erosion was approximately 8.9 × 10 3 ha corresponding to 96.0% of the changing forest.These results support the view that there are strong synergies among carbon loss,forest fragmentation and soil erosion in tropical forests.Such mechanism of REDD+ is likely to present opportunities for multiple benefits that fall outside the scope of carbon stocks.     

Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering

In deep mineral exploration, the acquisition of audio magnetotelluric (AMT) data is severely affected by ambient noise near the observation sites; This near-field noise restricts investigation depths. Mathematical morphological filtering (MMF) proved effective in suppressing large-scale strong and variably shaped noise, typically low-frequency noise, but can not deal with pulse noise of AMT data. We combine compressive sensing and MMF. First, we use MMF to suppress the large-scale strong ambient noise; second, we use the improved orthogonal match pursuit (IOMP) algorithm to remove the residual pulse noise. To remove the noise and protect the useful AMT signal, a redundant dictionary that matches with spikes and is insensitive to the useful signal is designed. Synthetic and field data from the Luzong field suggest that the proposed method suppresses the near-source noise and preserves the signal well; thus, better results are obtained that improve the output of either MMF or IOMP.     

Molecular line mapping of the giant molecular cloud associated with RCW 106 – II. Column density and dynamical state of the clumps

We present a fully sampled C¹⁸O (1–0) map towards the southern giant molecular cloud (GMC) associated with the H  ii region RCW 106, and use it in combination with previous ¹³CO (1–0) mapping to estimate the gas column density as a function of position and velocity. We find localized regions of significant ¹³CO optical depth in the northern part of the cloud, with several of the high-opacity clouds in this region likely associated with a limb-brightened shell around the H  ii region G333.6−0.2. Optical depth corrections broaden the distribution of column densities in the cloud, yielding a lognormal distribution as predicted by simulations of turbulence. Decomposing the ¹³CO and C¹⁸O data cubes into clumps, we find relatively weak correlations between size and linewidth, and a more sensitive dependence of luminosity on size than would be predicted by a constant average column density. The clump mass spectrum has a slope near −1.7, consistent with previous studies. The most massive clumps appear to have gravitational binding energies well in excess of virial equilibrium; we discuss possible explanations, which include magnetic support and neglect of time-varying surface terms in the virial theorem. Unlike molecular clouds as a whole, the clumps within the RCW 106 GMC, while elongated, appear to show random orientations with respect to the Galactic plane.     

关联演化视角下地理学区域韧性分析的新思考

区域韧性是一个区域应对发展进程中短期冲击与长期变化、积极进行自我调适与转型的能力,表征了区域的适应性、创新性与可持续性,作为新兴理念反映了地理学可持续发展与区域研究的新需求。本研究综述了区域韧性研究进展,基于关联演化视角,探索构建区域韧性认知框架,将情境分析与过程分析并重,思考并总结区域韧性分析的方法论,尝试建立区域韧性评估方程,从经济、社会、环境及制度四个维度进行区域韧性评估,将区域韧性应用于中国地理学研究,分析中国区域韧性研究的一般性与特殊性,将区域韧性研究对接中国实际问题,以期对区域韧性研究做出理论贡献,助推地理学区域发展研究及相关认知领域的跨学科讨论、知识集成与学术交流,为国家制定相关区域政策提供参考,并为国家及区域可持续发展提供科学指引。     

城市建成环境对居民体力活动的影响 ——以福州市的经验研究为例

利用福州中心城区的社会调查、POI、道路网、用地性质等数据,在社区尺度探究城市建成环境对居民休闲型中高强度体力活动的影响。研究发现：① 低密度土地利用与体力活动时长呈正向关联,功能单一和邻近主干道则对体力活动起到抑制作用。② 体力活动目的地对不同人群具有差异化影响,体育用地和付费运动场所仅能促进中高阶层和中高收入者的体力活动,而周边公共运动设施的丰富程度更具普适性意义。③ 通过纳入运动偏好和单独分析保障房、单位大院及房改房住户达到规避居住自选择的目的,证明上述建成环境特征对体力活动的影响是独立且稳健的。     

一次强烈发展西南低涡的中尺度结构分析

2021年8月7—8日,四川盆地中东部出现大暴雨、局地特大暴雨,是重庆2021年度社会影响最大的一次暴雨过程。采用多源观测及ERA5再分析资料,对此次大暴雨过程进行诊断分析。结果表明：大暴雨发生在低槽移入四川盆地诱发暖性西南低涡背景下,具有显著的阶段性、跳跃性和极端性特征。大暴雨先后形成于西南低涡中心东南部、西南低涡东侧和西南低涡南侧暖湿的边界层辐合线附近。各阶段大暴雨均由移动缓慢、维持时间达3~6 h的β中尺度对流系统影响形成,暖湿不稳定和弱垂直风切变为β中尺度对流系统的形成提供了有利的环境条件。涡度分析表明,西南低涡的发展主要源于低空辐合及垂直涡度输送效应,但暴雨区的正涡度发展与西南低涡并不完全相同,水平涡度倾侧效应较为显著。第一阶段暴雨区正涡度主要源于对流层中低层西南低涡中心附近显著的低空辐合、涡度垂直输送及水平涡度倾侧效应;第二阶段和第三阶段暴雨区正涡度主要源于边界层辐合及边界层以上的水平涡度倾侧效应,边界层辐合触发暖湿大气中的中尺度对流活动促进了第二阶段和第三阶段大暴雨的形成。

     

GPS掩星技术低轨卫星计划的现状及进展

主要介绍了几个国际上已经实施的GPS掩星计划（GPS／MET，Φrsted,Sunsat,SAC-C,CHAMP)和在研的（COSMIC，ACE）低轨卫星计划的现状及取得的进展。通过总结可知，下一代GPS掩星接收器应具有体积小、质量轻（几百克）、低功耗的特点；能提供实时的卫星物理状态参数；飞行器上的自主计算和控制；星上数据通信和命令解释；所有跟踪数据应符合厘米级精密定轨的要求；能提供掩星和海洋反射实验的测量。