黑潮和中国近海环流

本文根据历史资料总结和讨论了黑潮对中国近海环流影响的基本结果,指出经巴士海峡进入南海和沿台湾海峡向北运动的黑潮分支,其年际变化明显,并认为该黑潮分支的运动状况对中国近海特别是南海和东海南部的中、下层环流影响显著,需要作进一步的调查研究。     

Urbanization impacts on flood risks based on urban growth data and coupled flood models

Natural Hazards - Urbanization increases regional impervious surface area, which generally reduces hydrologic response time and therefore increases flood risk. The objective of this work is to...     

三种红树根部组织抗氧化酶活性对水淹胁迫的响应

以自然种群高程分布为根据, 选择对潮汐浸泡耐性存在一定差异的白骨壤(Avicennia marina)、桐花树(Aegiceras corniculatum)和木榄(Bruguiera gymnorrhiza)为实验树种。对3种红树幼苗进行为期0d、1d、3d、5d、7d、14d的水淹处理, 测定其根部组织的过氧化物酶(peroxidase, POD)活性、超氧化物歧化酶(superoxide dismutase, SOD)活性、抗坏血酸氧化酶(ascorbic acid oxidase, APX)活性和过氧化氢酶(catalase, CAT)活性。水淹处理会导致植物根部组织受低氧胁迫从而破坏活性氧(reactive oxygen species, ROS)生产和消除的平衡, ROS大量累积给植物带来氧化损伤。实验测定与清除ROS有关的酶指标, 结果表明POD活性在1d至14d的水淹周期内随时间呈现上升趋势, 这可能与POD参与活性氧以及乙醇、乳酸等有毒物质的反应有关。CAT、SOD、APX活性均呈现应激上升后下降趋势, 由此推断该系列抗氧化酶在水淹胁迫发生前中期对消除红树植物根部组织大量产生的活性氧具有重要意义。抗氧化酶系在3种红树植物中的表达存在一定差异, 但整体仍呈相似的变化趋势。通过层次聚类法对各项酶活性指标分析后发现, 白骨壤抗氧化酶系的活性模式与木榄和桐花树的存在一定差异, 但没有发现木榄与桐花树抗氧化酶系统表达模式的明显差异。本研究旨在更好地了解红树林对水淹胁迫的生理适应机制, 为红树林生态系统保护与管理提供理论依据。     

基于一次差分预报原理的常用钟差预报模型效果分析

基于15 d的精密卫星钟差数据,从不同角度全面分析6种常用钟差预报模型（LP模型、QP模型、GM模型、SA模型、ARIMA模型、KF模型）基于钟差一次差分预报原理的预报效果,得到以下结论：1）采用钟差一次差分预报原理,可以提高LP模型、SA模型、GM模型及KF模型对于GPS卫星钟差的3 h预报精度,提高QP模型和ARIMA模型对于ⅡF Rb钟的3 h预报精度,提高LP模型和GM模型在6 h和12 h预报中的精度,提高ARIMA模型在6 h、12 h和24 h预报中的精度;2）基于钟差一次差分预报原理的预报结果与卫星及其星载钟类型有关,对于GPS BLOCK ⅡF Rb钟,该预报原理可以提高6种模型的短期预报精度,特别是对GM模型、LP模型和ARIMA模型预报效果的改善最为显著;3）对于3 h和6 h的预报,采用钟差一次差分预报原理的LP模型（DLP模型）对应的RMS值都最小,即DLP模型的预报精度最高,说明钟差一次差分数据更适合一次多项式模型的短期预报。     

The Roles of Spatial Locations and Patterns of Initial Errors in the Uncertainties of Tropical Cyclone Forecasts

In this study,a series of sensitivity experiments were performed for two tropical cyclones (TCs),TC Longwang (2005) and TC Sinlaku (2008),to explore the roles of locations and patterns of initial errors in uncertainties of TC forecasts.Specifically,three types of initial errors were generated and three types of sensitive areas were determined using conditional nonlinear optimal perturbation (CNOP),first singular vector (FSV),and composite singular vector (CSV) methods.Additionally,random initial errors in randomly selected areas were considered.Based on these four types of initial errors and areas,we designed and performed 16 experiments to investigate the impacts of locations and patterns of initial errors on the nonlinear developments of the errors,and to determine which type of initial errors and areas has the greatest impact on TC forecasts.Overall,results from the experiments indicate the following:(1) The impact of random errors introduced into the sensitive areas was greater than that of errors themselves fixed in the randomly selected areas.From the perspective of statistical analysis,and by comparison,the impact of random errors introduced into the CNOP target area was greatest.(2) The initial errors with CNOP,CSV,or FSV patterns were likely to grow faster than random errors.(3) The initial errors with CNOP patterns in the CNOP target areas had the greatest impacts on the final verification forecasts.     

灰岩冻融循环的劣化规律研究

基于岩石损伤理论推导了冻融循环作用下岩石的损伤劣化模型,并采用冻融循环试验方式测试了后崴子隧道灰岩岩样冻融循环后的物理力学特征变化规律,分析了其损伤劣化规律。获得了岩样的质量、纵波波速随冻融循环呈现先增后减的趋势,单轴抗压强度持续减小,弹性模量和峰值应变逐渐增大的结果。分析获得了冻融循环作用下灰岩总损伤变量与应变的关系,冻融和载荷的共同作用会使总损伤加剧,但损伤曲线表明耦合作用也可适当缓解这一影响,且灰岩应变值趋于一致,表明影响灰岩强度极限的主要因素可以不考虑冻融循环。     

Effects of Dropsonde Data in Field Campaigns on Forecasts of Tropical Cyclones over the Western North Pacific in 2020 and the Role of CNOP Sensitivity

Valuable dropsonde data were obtained from multiple field campaigns targeting tropical cyclones, namely Higos,Nangka, Saudel, and Atsani, over the western North Pacific by the Hong Kong Observatory and Taiwan Central Weather Bureau in 2020. The conditional nonlinear optimal perturbation(CNOP) method has been utilized in real-time to identify the sensitive regions for targeting observations adhering to the procedure of real-time field campaigns for the first time. The observing system experiments...     

2020年7月西北太平洋和南海“空台”环流特征分析

2020年7月西北太平洋和南海出现了史无前例的“空台”事件。利用NCEP再分析数据集、中国气象局(CMA)台风最佳路径等资料研究了此次“空台”现象的大尺度环流背景及动力和热力学特征。使用台风潜在生成指数(DGPI)分析发现2020年7月大尺度环流背景不利于台风生成,环流系统的异常通过影响对流层垂直风切变和垂直运动限制了台风的活动。2020年7月马斯克林高压较常年明显偏西偏弱,导致索马里急流强度减弱,越赤道气流不活跃,菲律宾以东洋面和南海海域盛行一致的偏东气流,历史同期活跃在该区域的季风槽无法建立,从而不利于热带扰动的生成。北半球极涡主体偏向西半球一侧,影响东半球冷空气势力较弱,副热带高压位置偏西;南亚高压较历史同期偏强且偏东,其东侧强盛的偏东气流将洋中槽截断,在西北太平洋区域出现反气旋性环流,该区域下沉气流增强,导致副热带高压强度增强,对流层中层强烈的下沉气流抑制了台风的生成和发展。此外,受中高层环流系统异常的影响,7月菲律宾吕宋岛以东洋面和南海地区环境垂直风切变较常年偏高2~4 m/s,南海部分海域偏高达4~8 m/s,同时该区域内异常偏强的下沉气流导致对流层低层相对湿度偏低,大气层结处于较为稳定的状态,动力和热力条件均不利于热带扰动的进一步发展。      

Hazard Assessment of Co-seismic Landslides Based on Information Value Method: A Case in 2018 MW6.6 Hokkaido Earthquake, Japan

An M_W6.6 earthquake occurred in eastern Hokkaido, Japan on September 6^th, 2018. Based on the pre-earthquake image from Google Earth and the post-earthquake image from high resolution (3 m) planet satellite, we manually interpret 9 293 coseismic landslides and select 7 influencing factors of seismic landslide, such as elevation, slope, slope direction, road distance, flow distance, peak ground acceleration (PGA) and lithology. Then, 9 293 landslide points are randomly divided into training samples and validation samples with a proportion of 7:3. In detail, the training sample has 6 505 landslide points and the validation sample has 2 788 landslide points. The hazard risk assessment of seismic landslide is conducted by using the information value method and the study area is further divided into five risk grades, including very low risk area, low risk area, moderate risk area high risk area and very high risk area. The results show that there are 7 576 landslides in high risk area and very high risk area, accounting for 81.52% of the total landslide number, and the landslide area is 22.93 km², accounting for 74.35% of the total area. The hazard zoning is in high accordance with the actual situation. The evaluation results are tested by using the curve of cumulative percentage of hazardous area and cumulative percentage of landslides number. The results show that the success rate of the information value method is 78.50% and the prediction rate is 78.43%. The evaluation results are satisfactory, indicating that the hazard risk assessment results based on information value method may provide scientific reference for landslide hazard risk assessment as well as the disaster prevention and mitigation in the study area.     

Urban flood hazard mapping using a hydraulic–GIS combined model

Natural Hazards - Urban flooding is a reoccurring disaster, and its frequency and intensity are likely to increase in the future due to the increasing frequency of storm events. Up-to-date...