辽宁省精细化暴雨洪涝灾害风险评估与预评估

基于辽宁省61个国家气象站1961—2020年和998个区域自动气象观测站建站至2020年逐小时、逐日降水资料,分析了辽宁省暴雨洪涝灾害主要致灾因子,计算了暴雨洪涝孕灾环境指标,完成了辽宁省暴雨洪涝灾害危险性评估。结果表明：暴雨洪涝高危险性地区主要位于丹东;暴雨洪涝灾害人口高风险区主要位于沈阳和大连市区;经济高风险区主要位于大连和盘锦市区;水稻、玉米高风险区主要位于锦州、盘锦和丹东。利用辽宁省无缝隙智能网格预报数据对2022年7月28—29日的暴雨过程灾害风险进行了预评估,发现暴雨灾害危险性高值区域主要分布在朝阳、葫芦岛以及辽宁中部。暴雨灾害可能造成的人口、经济高风险区域主要位于辽宁西部和中部地区;暴雨灾害可能造成的水稻和玉米高风险区主要位于沈阳、铁岭和朝阳北部等地区。预计高风险区主要影响人口约为449万人,经济损失约为1432万元,受影响的水稻面积约为1.028万公顷、玉米面积约为1.798万公顷。通过灾后效果检验,发现预评估模型效果良好,可在实际的暴雨洪涝灾害风险评估业务中使用。     

1996-2022年黄河三角洲行水河口岸线稳定性研究

黄河清八汊现行河口自改汊以来发生了巨大变化,监测其岸线变化,探讨其稳定程度对海岸带可持续发展以及海岸带韧性评估具有重要意义。本研究利用GPS、GIS、RS技术从1996—2022年黄河三角洲行水河口的220幅遥感影像中推断出年平均海岸线位置,同时根据行水河口摆动次数划分为5个阶段,并以此为基础对海岸线变迁及其稳定性进行定量分析。结果表明：行水河口岸线长期处于动态变化过程中,整体呈淤进状态,各岸段岸线时空变化特征不同,最大侵蚀（-73.89m/a）区出现在两丁坝之间,最大淤积（393.20m/a）区出现在河口区附近。研究区90%的岸线表现为较强淤积至严重淤积,稳定性指数由两丁坝之间（0.135）、2007年出汊前旧河口（0.068）、2007年出汊后新生河口（0.006）依次降低。入海水沙量、河口位置变迁以及沿岸输沙是影响岸线稳定性出现时空差异的主要原因。     

茯苓酸调节AMPK/GSK-3β/Nrf2信号通路对子宫内膜异位症大鼠内膜基质细胞铁死亡的影响

目的：探索茯苓酸调节腺苷酸活化蛋白激酶（AMPK）/糖原合成酶激酶3β（GSK-3β）/核因子E2相关因子2（Nrf2）信号通路对子宫内膜异位症（EM）大鼠基质细胞铁死亡的影响。方法：将51只SD大鼠于腹腔内异位移植子宫内膜组织构建EM大鼠模型,并将其随机分为模型组、茯苓酸低剂量（3.5 mg/kg）组、茯苓酸高剂量（7.0 mg/kg）组、茯苓酸高剂量（7.0 mg/kg）+盐酸多索啡（0.2 mg/kg）组,每组各12只,另取12只SD大鼠只开腹不移植,设为假手术组,药物分组处理后测定各组大鼠异位子宫内膜体积、异位子宫内膜组织铁死亡指标［谷胱甘肽（GSH）、丙二醛（MDA）水平、铁含量］、血清及异位子宫内膜组织炎症因子［肿瘤坏死因子α（TNF-α）、白细胞介素-6（IL-6）］水平、异位子宫内膜组织铁死亡相关蛋白［长链脂酰辅酶A合成酶4（ACSL4）、环加氧酶2（PTGS2）］与AMPK/GSK-3β/Nrf2通路相关蛋白表达。原代培养EM大鼠子宫内膜基质细胞,并将其随机分为对照组、茯苓酸低浓度（40 mg/L）组、茯苓酸高浓度（80 mg/L）组、茯苓酸高浓度（80 mg/L）+盐酸多索啡（10 μmol/L）组,以药物分组处理后,以CCK-8法、流式细胞术分别测定各组细胞增殖及凋亡;以试剂盒检测各组细胞铁死亡指标GSH及MDA水平、铁含量;以免疫印迹实验检测各组细胞铁死亡相关蛋白及AMPK/GSK-3β/Nrf2通路相关蛋白表达。结果：与假手术组相比,模型组大鼠异位子宫内膜体积、MDA水平及铁含量、血清及异位子宫内膜组织TNF-α及IL-6水平、ACSL4及PTGS2蛋白表达升高（P<0.05）,GSH水平、p-AMPK/AMPK、p-GSK-3β/GSK-3β及Nrf2蛋白表达降低（P<0.05）;与模型组相比,茯苓酸低、高剂量组大鼠异位子宫内膜体积、MDA水平及铁含量、血清及异位子宫内膜组织TNF-α及IL-6水平、ACSL4及PTGS2蛋白表达降低（P<0.05）,GSH水平、p-AMPK/AMPK、p-GSK-3β/GSK-3β及Nrf2蛋白表达升高（P<0.05）,且高剂量茯苓酸作用更强;盐酸多索啡可减弱高剂量茯苓酸对EM模型大鼠的作用。与对照组相比,茯苓酸低、高浓度组大鼠子宫内膜基质细胞活力、MDA水平及铁含量、ACSL4及PTGS2蛋白表达降低（P<0.05）,凋亡率、GSH水平、p-AMPK/AMPK、p-GSK-3β/GSK-3β及Nrf2蛋白表达升高（P<0.05）,且高浓度茯苓酸作用更强;盐酸多索啡可减弱高剂量茯苓酸对EM大鼠内膜基质细胞的作用。结论：茯苓酸可减轻EM大鼠炎症及铁死亡,抑制其子宫内膜基质细胞增殖及异位内膜生长,其作用机制可能是通过激活AMPK/GSK-3β/Nrf2信号通路来实现的。     

东秦岭上宫金矿流体成矿作用:矿物学研究

通过对上宫金矿矿物学资料的研究，确定其成矿过程具有3阶段演化特征。早阶段以粗粒乳白色石英脉为标志，矿物破碎、变形明显，金和杂质成分含量低，形成于挤压构造背景下静岩压力的变质流体。中阶段发育细粒多金属硫化物-碲化物-自然元素组合，呈微细网脉浸染于共轭节理或裂隙，没有遭受变形，金和杂质成分含量高，自然金与其他矿物属共沉淀关系，由变质流体沸腾导致，而流体沸腾则由造山过程的地壳快速隆升剥蚀引起。晚阶段发育具梳状构造的石英-碳酸盐网脉，含金性较低，由静水压力的大气降水热液在伸展构造背景下贯入张性裂隙形成。矿床地质地球化学特征与造山型金矿一致，成矿过程同步于陆陆碰撞造山作用，属于典型的断控脉状造山型金矿，成因适合于CMF模式。     

藏北祖尔肯乌拉山地区新生代高钾钙碱岩系火山岩同位素地球化学研究

通过对藏北祖尔肯乌拉山地区新生代高钾钙碱岩系火山岩Sr,Nd,Pb同位素成分的系统测试分析表明,火山岩具有相对高的^87Sr／^86Sr和低的^143Nd／^144Nd值及高的Pb同位素组成特点,且Sr,Nd,Pb同位素比值变化范围很窄,反映了其具有同源岩浆的特点,并且经历了类似的地球化学动力学过程。Sr,Nd,Pb同位素组成及相关图解判别表明,藏北祖尔肯乌拉山地区新生代高钾钙碱岩系火山岩来源于被大洋沉积物和地壳物质所混合的不均一富集地幔源区,显示源区具有壳幔混源性质,与EMⅡ型富集地幔源特征一致。     

热带西太平洋热状况年代际和年际变化特征分析

采用谐波分析和EOF分析方法,对比研究了暖池区域表层热状况(海表温度距平SST'表征)和浅层热状况(热含量距平HS'和次表层海温距平ST'表征)在1月和7月的年代际、年际尺度时空特征.分析结果表明:⑴不同季节的年代际、年际尺度SST'和HS'都存在两个显著模态,HS'1月的年代际、年际尺度结构最简单,而SST'7月的年代际和1月年际结构最复杂;⑵ 1970年代末和1980年代初发生的年代际跃变HS'晚于SST', 且SST'(HS')呈增温(减少)趋势;⑶ HS'的年际异常与ENSO关系密切,而SST'与ENSO关系不显著.     

元谋干热河谷坡耕地土壤侵蚀造成的土地退化

在元谋干热河谷土壤侵蚀特征分析的基础上，对坡耕地土壤侵蚀造成的土地退化进行了模拟研究。结果表明，土壤侵蚀造成表层耕作土壤的物理性能下降、养分流失和水分入渗能力降低。表层耕作土壤的容重比下层土壤低12．7％，总孔隙度高10．9％，有机质高37．3％，120min累计入渗总量是下层土壤的1．6-2．2倍。模拟土壤侵蚀与土地生产力关系的小区试验结果显示，坡耕地每流失1cm表土，土地生产力水平平均下降4．54％。     

季节内印度洋-西太平洋对流涛动对次季节-季节尺度大气可预报性的影响

利用非线性局部Lyapunov指数和条件非线性局部Lyapunov指数定量估计了季节内印度洋-西太平洋对流涛动（IPCO）和实时多变量Madden-Julian指数（RMM指数）可预报期限,量化了季节内IPCO对S2S尺度大气可预报性的贡献,深入研究了季节内IPCO演变下S2S尺度可预报期限空间分布的变化规律。结果表明：（1）与RMM指数相比,季节内IPCO指数可预报性更强,可预报期限达到31天左右,比RMM指数高出2周以上;（2）印度洋-西太平洋区域S2S尺度大气可预报性最强,可预报期限达到30天以上,其中季节内IPCO是该地区的主要可预报性来源之一,其贡献达到6天,占总可预报期限的25%以上;（3）随着季节内IPCO的演变,印度洋-西太平洋地区S2S尺度大气可预报性有空间结构变化,表现为可预报期限异常的传播和振荡。S2S尺度大气可预报期限正负异常沿季节内IPCO传播路径,一支以赤道中西印度洋为起点北传至印度半岛,一支向东传播,经过海洋性大陆到赤道西太平洋后向北传播,到达日本南部。同时,可预报性异常的传播在在东印度洋和西太平洋表现出反向变化的特征,形成东西两极振荡,当季节内IPCO向正位相发展时,东印度洋具有更强的可预报性,西太平洋具有更弱的可预报性,反之亦然。季节内IPCO的发展（衰退）可使东印度洋（西太平洋）S2S尺度大气可预报性更强,表明模式预报技巧对此具有更大的提升空间。     

Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

Thickness distribution and extent of sea ice and snow in Prydz Bay and surrounding waters observed in 2012/2013 austral summer

Three ship-based observational campaigns were conducted to survey sea ice and snow in Prydz Bay and the surrounding waters(64.40°S–69.40°S, 76.11°E–81.29°E) from 28 November 2012 to 3 February 2013. In this paper, we present the sea ice extent and its variation, and the ice and snow thickness distributions and their variations with time in the observed zone. In the pack ice zone, the southern edge of the pack ice changed little, whereas the northern edge retreated significantly during the two earlier observation periods. Compared with the pack ice, the fast ice exhibited a significantly slower variation in extent with its northernmost edge retreating southwards by 6.7 km at a rate of 0.37 km?d-1. Generally, ice showed an increment in thickness with increasing latitude from the end of November to the middle of December. Ice and snow thickness followed an approximate normal distribution during the two earlier observations(79.7±28.9 cm, 79.1±19.1 cm for ice thickness, and 11.6±6.1 cm, 9.6±3.4 cm for snow thickness, respectively), and the distribution tended to be more concentrated in mid-December than in late November. The expected value of ice thickness decreased by 0.6 cm, whereas that of snow thickness decreased by 2 cm from 28 November to 18 December 2012. Ice thickness distribution showed no obvious regularity between 31 January and 3 February, 2013.