The 2020/21 Extremely Cold Winter in China Influenced by the Synergistic Effect of La Niña and Warm Arctic

In the first half of winter 2020/21,China has experienced an extremely cold period across both northern and southern regions,with record-breaking low temperatures set in many stations of China.Meanwhile,a moderate La Ni?a event which exceeded both oceanic and atmospheric thresholds began in August 2020 and in a few months developed into its mature phase,just prior to the 2020/21 winter.In this report,the mid?high-latitude large-scale atmospheric circulation anomalies in the Northern Hemisphere,which were forced by the negative phase of Arctic Oscillation,a strengthened Siberian High,an intensified Ural High and a deepened East Asian Trough,are considered to be the direct reason for the frequent cold surges in winter 2020/21.At the same time,the synergistic effect of the warm Arctic and the cold tropical Pacific(La Ni?a)provided an indispensable background,at a hemispheric scale,to intensify the atmospheric circulation anomalies in middle-to-high latitudes.In the end,a most recent La Ni?a prediction is provided and the on-coming evolution of climate is discussed for the remaining part of the 2020/21 winter for the purpose of future decision-making and early warning.     

Experiments with the Improved Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation over South China

In recent work, three physical factors of the Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation (DSAEF_LTP model) have been introduced, namely, tropical cyclone (TC) track, TC landfall season, and TC intensity. In the present study, we set out to test the forecasting performance of the improved model with new similarity regions and ensemble forecast schemes added. Four experiments associated with the prediction of accumulated precipitation were conducted based on 47 landfalling TCs that occurred over South China during 2004-2018. The first experiment was designed as the DSAEF_LTP model with TC track, TC landfall season, and intensity (DSAEF_LTP-1). The other three experiments were based on the first experiment, but with new ensemble forecast schemes added (DSAEF_LTP-2), new similarity regions added (DSAEF_LTP-3), and both added (DSAEF_LTP- 4), respectively. Results showed that, after new similarity regions added into the model (DSAEF_LTP-3), the forecasting performance of the DSAEF_LTP model for heavy rainfall (accumulated precipitation ≥250 mm and ≥100 mm) improved, and the sum of the threat score (TS250 + TS100) increased by 4.44%. Although the forecasting performance of DSAEF_LTP-2 was the same as that of DSAEF_LTP-1, the forecasting performance was significantly improved and better than that of DSAEF_LTP-3 when the new ensemble schemes and similarity regions were added simultaneously (DSAEF_LTP-4), with the TS increasing by 25.36%. Moreover, the forecasting performance of the four experiments was compared with four operational numerical weather prediction models, and the comparison indicated that the DSAEF_LTP model showed advantages in predicting heavy rainfall. Finally, some issues associated with the experimental results and future improvements of the DSAEF_LTP model were discussed.     

Experiments of DSAEF_LTP Model with Two Improved Parameters for Accumulated Precipitation of Landfalling Tropical Cyclones over Southeast China

The Dynamical-Statistical-Analog Ensemble Forecast model for landfalling tropical cyclones (TCs) precipitation (DSAEF_LTP) utilises an operational numerical weather prediction (NWP) model for the forecast track, while the precipitation forecast is obtained by finding analog cyclones, and making a precipitation forecast from an ensemble of the analogs. This study addresses TCs that occurred from 2004 to 2019 in Southeast China with 47 TCs as training samples and 18 TCs for independent forecast experiments. Experiments use four model versions. The control experiment DSAEF_LTP_1 includes three factors including TC track, landfall season, and TC intensity to determine analogs. Versions DSAEF_LTP_2, DSAEF_LTP_3, and DSAEF_LTP_4 respectively integrate improved similarity region, improved ensemble method, and improvements in both parameters. Results show that the DSAEF_LTP model with new values of similarity region and ensemble method (DSAEF_LTP_4) performs best in the simulation experiment, while the DSAEF_LTP model with new values only of ensemble method (DSAEF_LTP_3) performs best in the forecast experiment. The reason for the difference between simulation (training sample) and forecast (independent sample) may be that the proportion of TC with typical tracks (southeast to northwest movement or landfall over Southeast China) has changed significantly between samples. Forecast performance is compared with that of three global dynamical models (ECMWF, GRAPES, and GFS) and a regional dynamical model (SMS-WARMS). The DSAEF_LTP model performs better than the dynamical models and tends to produce more false alarms in accumulated forecast precipitation above 250 mm and 100 mm. Compared with TCs without heavy precipitation or typical tracks, TCs with these characteristics are better forecasted by the DSAEF_LTP model.     

基于布格重力异常研究运城盆地的构造特征

利用运城及周边地区的布格重力资料,对布格重力数据进行小波分解得到不同阶次的重力异常信息。依据各个阶次的小波变换结果并结合该区域的地质构造环境,对小波变换细节图中存在的特征较为明显的布格重力异常带进行深入分析,对异常所揭示的构造现象在地壳不同深度的分布特性等进行分析研究。结果表明:小波变换细节与区内地壳内部的隆起、凹陷及断裂构造具有很好的对应关系,可以对运城盆地的构造特征及地壳结构做更加深入的研究。     

深部咸水层二氧化碳地质储存场地选址储盖层评价

深部咸水层CO2地质储存属于环保型工程项目,开展地质评价来确定良好的储盖层是实现CO2地质储存长期、有效、安全封存的首要前提。储层地质评价内容主要包括储层的物理性质及其注入能力等;盖层地质评价内容主要包括盖层发育特征及封闭能力等。在规划选址到工程选址的不同阶段,储盖层评价的内容和对象应根据不同阶段的目的依次提高精度和量化程度。通过国内深部咸水层CO2地质储存工程场地选址阶段划分,结合储盖层地质评价的主要内容,初步建立了储盖层适宜性评价指标及其分级标准,对国内深部咸水层CO2地质储存工程场地选址中的储盖层地质评价及适宜性评价工作具有一定的指导意义。     

大兴安岭绿林林场一带兴华渡口岩群原岩恢复及大地构造环境探讨

兴华渡口岩群作为额尔古纳地块的基底,其变质年龄、原岩类型及大地构造背景一直是地质学家关注的热点。以大兴安岭北段绿林林场一带兴华渡口岩群作为研究对象,利用锆石U-Pb同位素测年限定了原岩的变质时代,结合岩相学与地球化学综合分析方法开展原岩恢复,并进一步讨论了其形成的大地构造背景。研究认为兴华渡口岩群主要由斜长角闪岩类、浅粒岩类、变粒岩类和石英岩类组成;斜长角闪岩类原岩为基性火山岩,浅粒岩类原岩为英安质凝灰岩,石英岩和变粒岩原岩为泥质粉砂岩;斜长角闪岩类亏损非活动性微量元素Ta、Nd、P,大地构造环境属岛弧环境;浅粒岩类主要亏损Ta、Nd、P、Sr、Ti等元素,形成于大陆边缘造山带环境。绿林林场一带兴华渡口岩群的变质年龄下限为774.1±3.8 Ma。      

云南维西娃底铅锌矿综合异常及成矿

娃底矿区圈定二种温度成矿元素组合、五个综合异常,发现并控制4条矿体:三种属于中、上三叠统中断裂角砾岩型、一条属于花岗岩体断层带型.矿床归于张性次生裂隙控制的中—低温热液型铅锌、铜金矿.     

北京山区泥石流预警阈值初步研究

泥石流预警阈值,是突发地质灾害防灾减灾的重要参考指标。本文结合北京山区泥石流灾害特点和已有降雨阈值研究成果,一方面在泥石流沟易发性、物源和危害人数进行分级的基础上,提出不同级别沟谷在不同前期降雨条件下,不同发灾概率的激发雨量,极大地方便了中短期预警实际工作;另一方面将泥石流流域降雨量、土壤含水率、次声、泥位4个参数,作为泥石流短临灾害预警关键物理参数,开展了泥石流专业监测设备预警阈值研究。最终,从技术层面上构建不同时间维度的泥石流监测预警阈值体系,为北京山区泥石流监测预警提供技术支持。     

多元统计在雅砻江某电站水文地质调查中的应用

对雅砻江某电站的水样进行多元统计分析，水样的八个指标Q型聚类，对地表水及地下水进行了水文地质初步分类，主因子分析反映了与地下水形成作用有关的三个重要的水文地球化学作用，即岩溶作用、黄铁矿的氧化作用以及地下水的溶滤作用。结合多元统计结果以及本区的水文地质条件，对地下水系进行了分类。     

考虑蠕变性状的港区软土地基参数反演和长期沉降预测

结合上海某集装箱码头建设项目,针对本工程深厚淤泥质黏土的场地条件,引入Mesri蠕变模型考虑堆场地基的长期蠕变变形。利用施工期和工后短期实测分层沉降资料,由最小二乘法建立目标函数,运用分层迭代反演方法反演得到各软土层的黏弹性参数;将反演得到的土层参数代入自行编制的沉降计算软件,计算得到地基沉降量,并将计算值与实测值进行对比,对比结果证明了参数反演的可靠性;利用反演得到的土层参数对工后的长期沉降进行了预测,为本工程的安全运营提供了指导。