1950—2020年东北地区林地时空变化特征分析

基于地形图、土地利用现状图提取并分析1950—2020年东北地区林地时空变化格局。结果表明：① 地形图中记载的林地信息能有效反映20世纪中期东北地区林地基本特征;研究期内林地呈先增后减态势,增幅达10.04×10⁴ km²,同期覆盖率从34.67%增至44.97%;市域林地均呈增加态势,净增幅前5的市域均超5 000 km²。② 研究期内林地不变、增加和减少区面积分别为28.36×10⁴ km²、15.49×10⁴ km²和5.45×10⁴ km²;林地不变区沿长白山、大小兴安岭呈倒U字形分布,占2020年林地面积的64.68%;林地增加区集中于辽河平原、长白山西侧、三江平原东侧、大兴安岭东西两侧;林地减少区零星分散、未呈明显集聚。③ 林地减少的流向表明,农业拓垦是东北地区林地减少的主因,侵占林地规模占林地减少量的88.18%,转化为耕地的区域主要分布在平原与山脉结合处及河谷地带;河流水体与城乡建设占用的林地基本相当,约占林地减少量的2.00%,城乡建设未对林地造成较大损坏。④ 研究期立地条件有大幅改善,林地距城镇平均距离缩减2.26 km,半数新增林地位于城镇10 km范围内;林地平均高程下降41.44 m,超半数新增林地位于高程300 m以内,林地向城镇延伸和“下山进平原”现象明显。     

TBB资料揭示的热带大气低频振荡周期的年变化特征

１９８０－１９９２年ＧＭＳＴＢＢ格点资料，分析了１３年平均的ＴＢＢ功率谱随时间的变化，讨论了低频振荡周期的年变化特征及其可能的成因。结果表明，热带大气低频振荡周期有很明显的年变化。北半球热速睦区比赤道附近和南半球热带地区的周期变化幅度更大。总体上，冬季比夏，秋季低频振荡周期更长。     

Cooling effect of ballast revetment on the roadbed of Qinghai-Tibetan Railway

The data obtained through the roadbed surface thermal regime experiment (ROBSTREX), which was carried out at Beiluhe test section of Qinghai-Tibetan Railway from October to December in 2002, were used to estimate the cooling effect of ballast revetment on the roadbed. The results show that both riprap rock ballast revetment and crushed stone ballast revetment can reduce the temperature of the roadbed. But the cooling effect of riprap rock ballast revetment is better than that of crushed stone ballast revetment when the temperature of roadbed is higher. The cooling effect of crushed stone ballast revetment is better than that of riprap rock ballast revetment when the temperature of the roadbed is lower, especially at deeper roadbed layers. In the frozen season, the heat release from the roadbed also shows that the cooling effect of ballast revetment on the roadbed is obvious, and the cooling effect of crushed stone-ballast revetment on the roadbed is much evident than that of riprap rock ballast revetment.     

中国近期主要农业自然灾害的时空变化分析(英文)

China is a disaster prone country, and a comprehensive understanding of change of disasters is very important for China’s agricultural development. In this study, statistical techniques and geographic information system tools are employed to quantify the main agriculture disasters changes and effects on grain production in China during the period of 1990–2011. The results show that China’s grain production was severely affected by disasters including drought, flood, hail, frost and typhoon. The annual area covered by these disasters reached up to 48.7×106 ha during the study period, which accounted for 44.8% of the total sown area, and about 55.1% of the per unit area grain yield change was caused by disasters. In addition, all of the disasters showed high variability, different changing trends, and spatial distribution. Drought, flood, and hail showed significantly decreasing trends, while frost and typhoon showed increasing trends. Drought and flood showed gradual changes and were distributed across the country, and disasters became more diversified from north to south. Drought was the dominated disaster type in northern China, while flood was the most important disaster type in the southern part. Hail was mainly observed in central and northern China, and frost was mainly distributed in southern China. Typhoon was greatly limited to the southeast coast. Furthermore, the resilience of grain production of each province was quite different, especially in several major grain producing areas, such as Shandong, Liaoning, Jilin and Jiangsu, where grain production was seriously affected by disasters. One reason for the difference of resilience of grain production was that grain production was marginalized in developed provinces when the economy underwent rapid development. For China’s agricultural development and grain security, we suggest that governments should place more emphasis on grain production, and invest more money in disaster prevention and mitigation, especially in the major grain producing provinces.     

图残差神经网络支持下的建筑物群组模式分类

建筑物作为城市中的重要地物,分析其群组模式对地图综合、导航定位、市政规划等具有重要作用。建筑物群组模式分析目前主要有基于规则的方法和基于机器学习的方法两种。基于规则的方法和基于传统机器学习分类器的方法均需要大量的人工处理过程。近年来兴起的深度学习特别是图卷积神经网络前期无需人工处理,因此提高了建筑物群组模式分析的自动化程度。传统的图卷积神经网络模型在训练深层网络时易出现退化问题,提取深层特征困难。为解决此问题,本文引入了图残差神经网络模型用于建筑物群组的模式分类。首先使用道路和河流等作为约束条件,利用K-means方法对建筑物进行聚类;然后根据Bertin视觉变量计算对应的建筑物特征指标,在每个建筑物群组中以建筑物质心为节点,连接节点的最小生成树作为边,构建建筑物群组图结构;最后将得到的图结构数据输入图残差神经网络进行训练,得到规则和不规则两种建筑物群组模式。试验结果表明,该模型较好地解决了传统图卷积神经网络模型的退化问题,并取得了更高的精度。     

Reconstructing the historical spatial land use pattern for Jiangsu Province in mid-Qing Dynasty

This study is proposed to reconstruct a high-resolution spatial distribution of historical land use pattern with all land use types to overcome low-accuracy and/or the monotonic land use type in current historical land use reconstruction studies. The year of 1820 is set as the temporal section and the administrative area of Jiangsu Province is the study area. Land use types being reconstructed include farmland, residential land (including both urban land and rural residential land), water body, and other land (including forest land, grassland, and unused land). Data sources mainly refer to historical documents, historical geographic research outcomes, contemporary statistics, and natural environmental data. With great considerations over regional natural resources and social and economic conditions, a few theoretical assumptions have been proposed to facilitate the adjustment on prefecture farmland, urban land, and rural residential land. Upholding the idea that the contemporary land use pattern has been inherently in sequence with the historical land use pattern as well as the land use pattern shall be consistent to its accessibility, this study reconstructs the land use pattern in Jiangsu Province in 1820 with 100 m*100 m grids based on accessibility analysis and comprehensive evaluation. The outcome has been tested as valid by regionalization and correlation analysis. The resulted spatial distribution shows that back in 1820 in Jiangsu Province: (1) farmland, urban land, rural residential land, water body, and other land take about 48.49%, 4.46%, 0.16%, 15.03%, and 31.86% of the total land area respectively; (2) the land use pattern features high proportion of land in farming while low-proportion land in non-farming uses while population, topography, and the density of water body lead to great spatial variations; and (3) the reconstruction methodology has been tested as reasonable based on significant positive correlations between 1820 data and 1985 for both farmland and rural residential land at the prefecture level.     

2014—2019年中国秸秆焚烧火点的地理特征分析

客观、精细地刻画秸秆火点的地理空间分布特征,对科学引导作物秸秆焚烧和提高行政监管效率具有重要意义。基于2014—2019年中国区域内Satsee-Fire火点数据集和地形、社会经济数据建立的中国秸秆火点数据库和自然-人口-经济数据库,本研究采用GIS分析工具和数理统计方法,剖析了中国秸秆火点在地形、公共交通和人口-经济三方面7个因子之下的空间格局特征,结果表明：① 秸秆焚烧现象集中发生在高程低于250 m、坡度低于8°的区域,而位于北向坡和南向坡的秸秆火点数分别占总数的42.65%、37.36%。② 秸秆焚烧现象在机场和铁路禁燃区内呈不同的空间格局特征。距机场愈远秸秆焚烧行为愈普遍,机场禁燃区的秸秆焚烧有近六成发生在距机场11~15 km处;而铁路禁燃区内的秸秆火点分布较为均衡,总体呈内部圈层较外部区域略微密集态势,空间上火点密度整体随纬度增加而逐步增加,山西、内蒙古、河北及东三省铁路禁燃区火点数占总数的76.88%。③ 近七成的秸秆火点发生在人口密度低于250人/km2的县域,而58.17%的秸秆火点发生在年GDP低于100亿元的县域;秸秆焚烧现象与县域人口密度、GDP水平存在负相关关系,即县域人口密度愈大、县域经济愈发达,发生秸秆焚烧的现象愈为鲜见。     

地应力对低渗透性岩体的渗透率影响分析

近年来, 水电站库区渗漏、核废料深地质处置、CO2地质储存、输油管道渗漏、垃圾填埋造成的地下水灾害及污染等倍受关注, 而这些工程的安全性、可靠性与低渗透性岩体关系密切。针对这一问题, 本文采用水压致裂法测地应力、压水试验测岩体渗透率的方法, 对低渗透性页岩进行了试验研究, 结果表明: (1)研究区地应力值随着孔深呈递增趋势, 符合地应力的一般分布规律; (2)研究区低渗透性岩体的透水率随深度的增加而逐渐减小, 且0～100m, 透水率变化较大, 100～400m, 透水率变化较小, 而400～600m时, 岩体透水率则基本保持在一个相对稳定的数量级上, 回归分析知研究区岩体透水率与孔深具有较好的负冥指数关系; (3)研究区低渗透性岩体渗透率与地应力总体上服从负指数关系, 但不同点的地应力对岩体渗透率的影响具有一定差异性。这与国内外其他学者的研究结果一致, 这为该地区进一步研究低渗透性裂隙岩体渗流规律奠定了基础。     

浙江嵊州西白山表土花粉的初步研究

通过对浙江嵊州西白山香榧林、针阔混交林、茶园及竹园16份苔藓的花粉分析,研究其表土花粉与现代植被的关系。结果表明:①研究区植物孢粉共由50科属组成,以乔木花粉(主要为香榧和马尾松)为优势,含量为71.5%～92.9%,草本花粉次之,含量为5.3%～24.7%,蕨类孢子含量最低,含量为1.5%～7.2%,表土花粉组合基本上反映了该区植被的总体特征;②PCA结果显示,香榧和香榧林均能很好的区分出来,说明其具有很好的分异性;③香榧花粉在香榧林的含量较高,平均高达41.1%,但在林外,其含量则迅速降低,为5.2%～9.8%,可见香榧花粉的传播距离非常有限。该结果建议当地层中香榧花粉化石的含量达到10%,就可以初步断定在研究区附近有古香榧林的存在。     

中国首条750kV输电线路的地质环境稳定性研究

我国首条750kV输电线路位于黄土高原与青藏高原的交接过渡地带,地质环境复杂,本文简述了该线路构造稳定性、滑坡、泥石流、地裂缝、湿陷性、采空区等主要地质问题的特点与影响,并结合线路建设实际,归纳总结了相应的研究方法与工程对策措施。