丽江大研镇震灾分布和地脉动测量结果之间的相关性

丽江７．０级地震后，大研镇被毁建筑物的地理分布呈显４条条带，伤亡人员的地理分布和上述条带重合。９１个短周期地脉动测点的观测资料表明，分布在上述条带内的大多数测点，其卓越周期大于０．３Ｓ；条带外的测点，其卓越周期一般在０．１Ｓ左右。作认为卓越周期和烈度异常之间良好的相关性，是因为地脉动卓越周期和地方震的频谱之间存在良好的相关性。     

受致灾气旋影响的不同规模等级城市直接经济损失特征

本文将造成直接经济损失的热带气旋定义为致灾气旋。依据城区常住人口,将我国城市划分为小城市、中等城市、大城市三种规模等级,基于1984—2019年热带气旋灾情和路径数据筛选出致灾气旋,分析我国城市的致灾气旋频次、强度,并研究致灾气旋造成的不同规模城市直接经济损失变化。主要结论为:(1)1984—2019年影响我国城市的致灾气旋为7.7个·a^-1,呈微弱下降趋势,而强台风和超强台风的发生频次呈显著增加趋势(α=0.05显著水平),30°N以南城市频次整体比北部高;(2)由于致灾气旋影响范围增加,暴露于不同强度致灾气旋的城市个数呈增加趋势,其中暴露于强台风的城市个数增速最快,约为2.0个/(10 a);致灾气旋影响城市个数增加以及城市经济快速发展,使得暴露于致灾气旋影响范围内的经济总量迅速增加,以大城市经济暴露度(占比81.7%)的增速最快(402.6亿元·a^-1);(3)1984—2019年致灾气旋造成的城市直接经济损失约为262.3亿元·a^-1(以2019年市值),呈增加趋势;城市经济快速发展和高强度致灾气旋频次增加的共同作用下,城市经济损失占我国致灾气旋经济损失的比重从30.0%增加到63.3%。大城市资产财富集中,且多位于沿海地区,致灾气旋发生频次较多,经济损失占比最大(为51.4%),增速最快(为5.2亿元·a^-1)。     

盐津地区峨眉山玄武岩地球化学特征及成因分析

峨眉山火成岩省东部盐津地区玄武岩的岩石地球化学分析结果表明,盐津玄武岩w(SiO2)为47.97%~52.33%,w(Na2O+K2O)为3.35%~6.57%,Ti/Y值为496.29~567.80,w(TiO2)为3.60%~4.14%,属于钙碱性高钛玄武岩(HT)。岩石LREE/HREE值为7.34~7.88,轻稀土元素富集,分馏程度高,总体亏损Ba,K,Sr,P。高场强元素Nb/U比值为26.39,Ce/Y-Sm/Y和Th/Nb-Ce/Nb等比值均呈明显正相关系,表明盐津地区峨眉山玄武岩受到了明显地壳混染作用。Nb-Nb/Y和La-La/Sm图解中样品投点呈倾斜直线,表明盐津玄武岩岩浆受分离结晶作用影响较弱,δEu值为0.86~0.93,CaO/Al2O3与Mg#无明显相关关系,以及镜下观察均表明仅有少量斜长石、单斜辉石的分离结晶。盐津玄武岩与盐源和越西等地高钛玄武岩地球化学特征相似,具地幔柱成因特征,岩浆可能起源于富集地幔。分配系数相近的强不相容元素Ce/Sm比值为25.50,La/Yb-Sm/Yb图解中样品靠近石榴石尖晶石二辉橄榄岩区域,表明岩浆源区为石榴石尖晶石二辉橄榄岩。     

一种利用机载激光点云的河流横纵断面自动提取方法

传统的河流断面测量方法具有周期长、成本高、外业多等不足,为此提出一种基于机载激光点云的河流横纵断面自动提取方法.首先,使用渐进三角网滤波器从机载点云中分离出地面点,用以构建三角网模型,并将其转化成数字高程模型数据.接着,利用洼地填充、流向分析、流量分析、河流栅格提取、矢量化等水文分析模块,从数字高程模型数据中自动提取出...     

城市街道景观三维可视化的快速实现

提出了融合车载序列影像和二维矢量地图、快速实现城市街道景观三维可视化的方法。实验证明了该方法的有效性。     

2023年全球重大天气气候事件

2023年,全球平均气温比工业化前高出约1.45℃(±0.12℃),是有观测记录以来最热的一年。全球海平面继续上升,且全球平均海平面达到了有卫星记录(1993年至今)以来的最高水平,反映了持续的海洋变暖以及冰川和冰盖的融化。北极海冰面积仍远低于常年值,南极海冰面积创下历史新低。巴基斯坦、中国京津冀地区、意大利、巴西圣保罗州北部沿海地区、新西兰北岛等地遭受暴雨洪涝灾害,非洲西北部、中国云南、中美洲和南美洲北部发生严重干旱,南欧、北美、南美、东亚和南亚等地遭遇创纪录高温热浪,欧洲和北美等地遭遇寒流和暴风雪侵袭,强对流天气频繁袭击世界各处,全球热带气旋活动频繁。     

多基线-数字近景摄影测量

根据交会精度与影像匹配自动化的需要,与当今航空数码相机沿航线方向视场角偏小的事实,阐述了大重叠、多基线摄影测量的必要性及其现实意义;重点介绍了利用非量测相机进行多基线的正直、交向摄影方法与数据处理的特点,特别是“多基线交向摄影”,通过多次、多相机对三峡工程地下电站尾水边坡进行拍摄试验,获得了传统非量测相机难以比拟的、非常满意的结果。     

Population,urbanization and economic scenarios over the Belt and Road region under the Shared Socioeconomic Pathways

The countries throughout the Belt and Road region account for more than 60% of the world's population and half of the global economy. Future changes in this area will have significant influences on the global economic growth, industrial structure and resource allocation. In this study, the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development, respectively. The population, urbanization and economic levels of the Belt and Road countries for 2020–2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs), and the following conclusions are drawn.(1) The population, urbanization and economic levels in the Belt and Road region will likely increase under all five pathways. The population will increase by 2%–8%/10 a during 2020–2050 and reach 5.0–6.0 billion in 2050. Meanwhile, the urbanization rate will increase by 1.4%–7.5%/10 a and reach 49%–75%. The GDP will increase by 17%–34%/10 a and reach 134–243 trillion USD.(2) Large differences will appear under different scenarios. The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels, but the population size is comparatively smaller; SSP3 shows the opposite trend. Meanwhile, the economy develops slowly under SSP4, but it has a relatively high urbanization level, while SSP2 exhibits an intermediate trend.(3) In 2050, the population will increase relative to 2016 in most countries, and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double. Urbanization will develop rapidly in South Asia, West Asia and Central Asia, and will increase by more than 150% in the fastest growing countries. The economy will grow fastest in South Asia, Southeast Asia and West Asia, and increase by more than 10 times in some counties with rapid economic development.     

长江流域气候变化高分辨率模拟与RCP4.5情景下的预估

基于长江流域142个气象站1986—2005年月降水和气温数据,评估由MPI-ESM-LR模式驱动的CCLM区域气候模式对长江流域气温和降水的模拟能力,并采用EDCDF法对气温和降水预估数据进行偏差校正。结果表明：该区域气候模式能较好地模拟出长江流域平均气温的季节变化和空间分布特征,但模拟值无论在季节还是年际尺度上均高于观测值。对降水而言,该模式不能较好地模拟出降水的季节分布特征,导致春季、冬季及年模拟值高于观测值,而夏季和秋季模拟值低于观测值。总体而言,该模式对气温的模拟效果相对较好。偏差校正后的预估结果表明：在RCP4.5情景下,长江流域未来（2016—2035年）平均气温相对于基准期（1986—2005年）将升高0.66℃,年降水量将减少2.2%。     

Evaporation and energy balance estimates over a large inland lake in the Tibet-Himalaya

The process of evaporation from the lake surface is one of the main mechanisms in the energy and water budgets of the lake hydrologic cycle, and an essential component of the water balance especially for inland lakes. In this study, using routine meteorological data as input, a one-layer potential evaporation model was employed to simulate evaporation and energy fluxes over Lake Yamdrok Yumco, the largest high-elevation inland lake in the mountain area of the Tibet-Himalaya in China. Then, the calculation results were compared with the measured values from a big pan evaporator of 20 m² near the lake. The results show that the average annual input radiation flux R ^↓ is 128.2 W m⁻², the lake storage heat flux G is 19.4 W m⁻², the sensible heat flux H is 20.4 W m⁻² and the latent heat flux lE is 107.8 W m⁻². The R ^↓ and G exhibit similar seasonal variations. The lE reaches a maximum in October, lagging nearly 4 months behind the R ^↓ and the G, which indicates the large heat capacity of the lake. The simulated annual evaporation ranges from 1,113.2 to 1,429.1 mm and its mean value is 1,252.5 mm during 1961–2005. The simulated annual evaporation is in good agreement with the measured value, and the measured average lake temperature is as expected when compared with the measured lake surface temperature.