Generation of a stochastic precipitation model for the tropical climate

Theoretical and Applied Climatology - A tropical country like Malaysia is characterized by intense localized precipitation with temperatures remaining relatively constant throughout the year. A...     

城市效应对登陆热带气旋妮妲降水影响的模拟

运用中尺度数值模式WRF耦合城市冠层模式（urban canopy model,UCM）,对2016年登陆深圳的热带气旋妮妲（1604）（以下简称妮妲）进行数值模拟。高分辨率数值模拟较好地再现了妮妲登陆前后的强度、路径和累积降水。利用城市化过程当中城市冠层对热带气旋降水的敏感性试验结果表明:城市冠层会减弱对流运动和水汽的输送,导致热带气旋登陆后珠江口城市群区域累积降水量略减少。应用最新的土地利用资料进行的城市下垫面敏感性试验结果表明:由于城市下垫面粗糙度增加,造成登陆地面风的减速,强度减弱,潜热通量与2 m高度比湿相应减小;城市下垫面粗糙度增加会加强该区域垂直对流运动以及不稳定能量增加,有利于降水增强,尤其在城市化下垫面处,热带气旋登陆后6 h累积降水增加量最大可超过20 mm。总体而言,对登陆热带气旋降水而言,耦合城市冠层使城市区域热带气旋降水减少,但在数值模拟中城市冠层影响作用不显著。城市化下垫面对登陆热带气旋暴雨的增幅作用明显,在登陆热带气旋降水预报中应重视。     

基于GIS的沪汉蓉高铁线路暴雨灾害风险区划

通过收集整理沪汉蓉高铁沿线近13 a相关资料,采用层次分析法、专家打分法和加权综合评价法,通过暴雨灾害的危险性、孕灾环境的敏感性、承载体的易损性和防灾减灾能力等4类因子构建了沪汉蓉高铁线路暴雨灾害风险区划模型,绘制了沪汉蓉高铁线路暴雨灾害风险区划图。结果表明,沪汉蓉高铁线路暴雨灾害风险呈现西部高于东部特征,4个高风险区主要集中在武汉以西,分别为湖北天门—潜江段、宜昌西部—恩施东部、重庆东部、四川内江—资阳段,高风险区段与高铁沿线主要暴雨多发区中心位置基本一致,研究成果对沪汉蓉高铁沿线市县开展暴雨灾害防御工作具有较好的决策参考作用。     

中国履行《蒙特利尔议定书(基加利修正案)》减排三氟甲烷的对策分析

2016年10月制定的《关于消耗臭氧层物质的蒙特利尔议定书（基加利修正案）》将三氟甲烷（HFC-23）纳入了其附件F第二类管控物质名单,并要求缔约国自2020年1月1日起以缔约方核准的技术对HFC-23进行销毁。伴随中国二氟一氯甲烷（HCFC-22）原料用途需求增长,其副产物HFC-23的产生量呈上升趋势,尽管HCFC-22生产工艺不断优化,HFC-23的副产率逐步下降,预测2050年HFC-23产生量将达到2.47万t（或365.56 Mt CO₂-eq),2020—2050年HFC-23累计产生量约56.3万t,折合约8332.40 Mt CO₂-eq。截至2015年,通过清洁发展机制以及国家发展和改革委员会减排专项的资助,中国以焚烧分解技术销毁HFC-23累计54585 t,为全球温室气体减排做出了重要贡献,但这一减排也花费了巨额资金投资焚烧设备和支付焚烧运行费用,提高了企业的生产成本、浪费了氟资源。研究显示,HFC-23资源化利用技术路线是可行的且中国相关技术专利正在逐步增加,鼓励和推进HFC-23资源化利用技术开发与应用是消除HFC-23排放可行的技术途径,也是未来中国加入并履行《基加利修正案》关键的技术路线选择。     

公路交通决策气象服务需求分析

采用问卷调查的方式,对气象、交通、公安等多部门公路交通决策气象服务关注的气象要素、产品类型和时段、服务改进方向等需求进行了调研。利用专家评分法对调查内容进行评估分析,并提出提升公路交通决策气象服务能力的相关建议。结果表明:专家对现有公路交通决策气象服务工作总体满意度较高,普遍认为公路交通决策气象服务在公路运输、运行调度、应急救援等方面发挥作用明显;行业领域不同需求的气象要素有所不同,交通部门专家对公路积雪、降雪、霾等要素给出的需求权重值明显高于气象部门专家给出的;不同类型的决策服务产品关注的气象要素和时效也有所不同,其中,监测类产品对低能见度、道路积雪要素最为关注;预报类产品对雨雪和大雾要素最为关注;预警类产品对大雾最为关注;而影响评估类产品对低能见度最为关注。监测类产品主要关注逐小时时段;预报和预警类产品重点关注未来3—12 h时段;而影响评估类产品主要关注日、月、季度时段。     

乌克兰地缘文化特征及其影响

地缘文化是乌克兰危机的重要诱因,深刻地影响着乌克兰的内政外交。作为地缘政治支轴国家,乌克兰的战略地位举足轻重,其对于中国"一带一路"战略的顺利推进意义重大。研究乌克兰地缘文化的特征及其影响,对厘清乌克兰地缘政治与地缘经济特征有重要作用。本文以乌克兰(除基辅市、塞瓦斯托波尔市)为研究区域,使用2001年乌克兰人口普查数据,2004年、2007年、2010年和2013年乌克兰对外贸易数据;2004年和2010年乌克兰总统大选候选人得票率,运用空间自相关技术,对乌克兰地缘文化进行空间统计分析,并分析地缘文化对贸易联系、政治走向的影响。研究表明:(1)乌克兰地缘文化存在明显的空间聚集特征,从而在地理空间上将乌克兰割裂。(2)俄罗斯族居民聚居的东部地区对外贸易联系较强;而西部地区对外贸易联系较弱。(3)乌克兰族人口占绝对优势的西部地区是亲西方总统候选人的政治势力范围;俄罗斯族人口众多的东部地区则是亲俄总统候选人的政治势力范围。     

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach

The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have significantly enhanced our capacity to analyse massive geospatial data sets. However, only a few strategies have been developed to maximize the utilization of parallel computing resources to support interactive visualization. In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the distribution patterns of spatio-temporal data. The predicted results are used to schedule the allocation of visualization tasks. We integrated this strategy with a parallel visualization system deployed in a compute unified device architecture (CUDA)-enabled graphical processing units (GPUs) cloud. To evaluate the flexibility of this strategy, we performed experiments using dust storm data sets produced from a regional climate model. The results of the experiments showed that the proposed method yields stable and accurate prediction results with acceptable computational overheads under different types of interactive visualization operations. The results also showed that our strategy improves the overall visualization efficiency by incorporating intensity-based scheduling.     

楚科奇海陆架沉积物中几种低环的多环芳烃的垂直分布特征

于2014年中国第6次北极科学考察期间,采集了楚科奇海陆架4根沉积物柱状样,据此开展了其中几种低环的多环芳烃(PAHs)的总体水平调查,并结合~(210)Pb测年,探讨了其垂直分布特征及历史沉降规律。结果表明,楚科奇海陆架沉积物中几种低环PAHs含量变化范围为50—1 553 ng·g~(–1),总体处于较低水平,且与粒径变化关系不明显。楚科奇海陆架区沉积物的沉积速率为0.05—0.19 cm·a~(–1),低环PAHs垂直变化较小,总体受人类影响极少,局部高值可能受到石油渗漏或成岩作用等过程的影响。     

Diagnosis of Moist Vorticity and Moist Divergence for a Heavy Precipitation Event in Southwestern China

A regional heavy precipitation event that occurred over Sichuan Province on 8–9 September 2015 is analyzed based on hourly observed precipitation data obtained from weather stations and NCEP FNL data.Two moist dynamic parameters,i.e.,moist vorticity(mζ)and moist divergence(mδ),are used to diagnose this heavy precipitation event.Results show that the topography over southwestern China has a significant impact on the ability of these two parameters to diagnose precipitation.When the impact of topography is weak(i.e.,low altitude),mζ cannot exactly depict the location of precipitation in the initial stage of the event.Then,as the precipitation develops,its ability to depict the location improves significantly.In particular,mζ coincides best with the location of precipitation during the peak stage of the event.Besides,the evolution of the mζcenter shows high consistency with the evolution of the precipitation center.For mδ,although some false-alarm regions are apparent,it reflects the location of precipitation almost entirely during the precipitation event.However,the mδ center shows inconsistency with the precipitation center.These results suggest that both mζ and mδ have a significant ability to predict the location of precipitation.Moreover,mζ has a stronger ability than mδ in terms of predicting the variability of the precipitation center.However,when the impact of topography is strong(i.e.,high altitude),both of these two moist dynamic parameters are unable to depict the location and center of precipitation during the entire precipitation event,suggesting their weak ability to predict precipitation over complex topography.     

Regional Frequency Analysis of Observed Sub-Daily Rainfall Maxima over Eastern China

Based on hourly rainfall observational data from 442 stations during 1960–2014, a regional frequency analysis of the annual maxima(AM) sub-daily rainfall series(1-, 2-, 3-, 6-, 12-, and 24-h rainfall, using a moving window approach) for eastern China was conducted. Eastern China was divided into 13 homogeneous regions: Northeast(NE1, NE2), Central(C), Central North(CN1, CN2), Central East(CE1, CE2, CE3), Southeast(SE1, SE2, SE3, SE4), and Southwest(SW).The generalized extreme value performed best for the AM series in regions NE, C, CN2, CE1, CE2, SE2, and SW, and the generalized logistic distribution was appropriate in the other regions. Maximum return levels were in the SE4 region, with value ranges of 80–270 mm(1-h to 24-h rainfall) and 108–390 mm(1-h to 24-h rainfall) for 20- and 100 yr, respectively.Minimum return levels were in the CN1 and NE1 regions, with values of 37–104 mm and 53–140 mm for 20 and 100 yr,respectively. Comparing return levels using the optimal and commonly used Pearson-III distribution, the mean return-level differences in eastern China for 1–24-h rainfall varied from-3–4 mm to-23–11 mm(-10%–10%) for 20-yr events, reaching-6–26 mm(-10%–30%) and-10–133 mm(-10%–90%) for 100-yr events. In view of the large differences in estimated return levels, more attention should be given to frequency analysis of sub-daily rainfall over China, for improved water management and disaster reduction.