Spatiotemporal variability of extreme precipitation in Shaanxi province under climate change

Extreme climate index is one of the useful tools to monitor and detect climate change. The primary objective of this study is to provide a more comprehensively the changes in extreme precipitation between the periods of 1954–1983 and 1984–2013 in Shaanxi province under climate change, which will hopefully provide a scientific understanding of the precipitation-related natural hazards such as flood and drought. Daily precipitation from 34 surface meteorological stations were used to calculated 13 extreme precipitation indices (EPIs) generated by the joint World Meteorological Organization Commission for Climatology (CCI)/World Climate Research Programme (WCRP) project on Climate Variability and Predictability (CLIVAR) expect Team on climate change Detection, Monitoring and Indices (ETCCDMI). Two periods including 1954–1983 and 1984–2013 were selected and five types of precipitation days (R10mm-R100mm) were defined, to provide more evidences of climate change impacts on the extreme precipitation events, and specially, to investigate the changes in different types of precipitation days. The EPIs were generated using RClimRex software, and the trends were analyzed using Mann-Kendall nonparametric test and Sen’s slope estimator. The relationships between the EPIs and the impacts of climate anomalies on typical EPIs were investigated using correlation and composite analysis. The mainly results include: 1) Thirteen EPIs, except consecutive dry day (CDD), were positive trends dominated for the period of 1984–2013, but the trends were not obvious for the period of 1954–1983. Most of the trends were not statistically significant at 5 % significance level. 2) The spatial distributions of stations that exhibited positive and negative trends were scattered. However, the stations that had negative trends mainly distributed in the north of Shaanxi province, and the stations that had positive trends mainly located in the south. 3) The percentage of stations that had positive trends had increased from the period of 1954–1983 to 1984–2013 for all the 13 EPIs except CDD, indicating the possible climate change impacts on extreme precipitation events. 4) The correlations between annual total wet-day precipitation (PRCPTOT) and other 12 EPIs varied for different indices and stations. The composite analysis found that El Niño Southern Oscillation (ENSO) exerted greater impacts on PRCPTOT than other EPIs and greater in the Guanzhong Plain (GZP) than Qinling-Dabashan Mountains (QDM) and Shanbei Plateau (SBP) of Shaanxi province.     

Observed particle sizes and fluxes of Aeolian sediment in the near surface layer during sand-dust storms in the Taklamakan Desert

Monitoring, modeling and predicting the formation and movement of dust storms across the global deserts has drawn great attention in recent decades. Nevertheless, the scarcity of real-time observations of the wind-driven emission, transport and deposition of dusts has severely impeded progress in this area. In this study, we report an observational analysis of sand-dust storm samples collected at seven vertical levels from an 80-m-high flux tower located in the hinterland of the great Taklamakan Desert for ten sand-dust storm events that occurred during 2008–2010. We analyzed the vertical distribution of sandstorm particle grain sizes and horizontal sand-dust sediment fluxes from the near surface up to 80 m high in this extremely harsh but highly representative environment. The results showed that the average sandstorm grain size was in the range of 70 to 85 μm. With the natural presence of sand dunes and valleys, the horizontal dust flux appeared to increase with height within the lower surface layer, but was almost invariant above 32 m. The average flux values varied within the range of 8 to 14 kg m^?2 and the vertical distribution was dominated by the wind speed in the boundary layer. The dominant dust particle size was PM₁₀₀ and below, which on average accounted for 60–80 % of the samples collected, with 0.9–2.5 % for PM_0–2.5, 3.5–7.0 % for PM_0–10, 5.0–14.0 % for PM_0–20 and 20.0–40.0 % for PM_0–50. The observations suggested that on average the sand-dust vertical flux potential is about 0.29 kg m^?2 from the top of the 80 m tower to the upper planetary boundary layer and free atmosphere through the transport of particles smaller than PM₂₀. Some of our results differed from previous measurements from other desert surfaces and laboratory wind-dust experiments, and therefore provide valuable observations to support further improvement of modeling of sandstorms across different natural environmental conditions.     

适用于GRAPES模式C-P边界层方案的设计和实现

基于K廓线闭合方案,通过考虑不稳定边界层和稳定边界层中热量交换系数在半层上求取及下边界条件的设置,将温湿倾向在整层上直接计算,设计了Charney-Phillips跳点（简称C-P跳点）的边界层方案,使之与GRAPES全球模式的C-P跳点相协调,解决了Lorenz跳点物理过程与C-P跳点动力框架耦合时插值造成的不协调问题,同时避免了耦合时反复插值造成的误差,提高了边界层物理过程参数化方案及其反馈的准确性和合理性。试验表明:C-P跳点边界层方案因为避免了温度和湿度在垂直方向上的插值,消除了温湿变量在垂直方向上的锯齿状抖动,使温湿廓线分布更合理,减小了模式预报误差,形势场的预报效果也得到一定改善。C-P边界层方案的应用提升了GRAPES全球模式的总体预报性能。     

西太平洋暖池对西北太平洋季风槽和台风活动影响过程及其机理的最近研究进展

本文回顾和综述了近年来关于西太平洋暖池对西北太平洋热带气旋和台风（TCs）活动影响过程及其机理的研究进展。文中首先简单回顾了近年来关于西太平洋暖池热状态和菲律宾周围对流活动变化特征及其对与TCs活动有关的南海夏季风爆发和西太平洋副热带高压的季节内、年际变异的影响过程和机理的研究;然后,本文系统地回顾了近年来关于西太平洋暖池热状态通过西北太平洋季风槽影响TCs活动年际和年代际变化的影响过程及其机理的研究。此外,文中还指出了关于西太平洋暖池对西北太平洋上空季风槽和TCs活动变异的热力和动力作用需进一步深入研究的科学问题。     

城乡文化信息流时空整合的理论体系构建

为了探寻城乡文化信息流的基本规律,将综合运用大数据思维和Petri网理论,通过“3S”集成技术以及State flow分析工具,旨在解决如何测度城乡文化信息的流态关系和构建时空整合模型两个科学问题。从“动态”的城乡文化“场域”视野出发,以城乡文化信息流的时空整合为研究对象,探索文化信息流对新城乡文化空间形成的影响,并研制出驱动机理和时空整合模式,初步构建现代城乡文化信息流的时空整合理论,力图为促进新文化地理学和信息社会学等多学科的交融发展创建新的理论菜单,为加快城乡文化一体化发展奠定理论基础,为中国城乡文化信息资源共享工程的可持续建设提供科学理论支撑。     

面向地震应急准备的居民地遥感提取及量化分析

运用灰度共生矩阵、数学形态学等方法提取新疆新源地区高分一号2 m分辨率影像居民地信息,运用目视解译、影像叠加分析、缓冲区分析等方法,进行居民地量化分级,为地震应急准备提供数据支持。结果表明：研究区在地震烈度为Ⅷ度及以下区域,埋压主要集中在单层结构为主的建筑区;当地震烈度高于Ⅷ度且造成多层建筑大面积倒塌时,县城等人口密集区为首要救援区;在地震应急准备时,应对交通条件三等区和交通条件四等区重点关注,增加应急物资储备点,对山区居民地,应考虑道路毁坏情况,转换救援方式,做好应急预案。     

基于生态位理论的东北三省政府干预强度与市场化水平格局演变研究

以“政府干预强度”和“市场化水平”为研究对象,通过对其生态系统的剖析,构建相应的评价指标体系及其生态位模型,并选取东北三省地级市为评价对象,对其“强政府弱市场”格局和演变趋势进行分析。定量分析的主要结论为：东北三省普遍存在“强政府弱市场”现状,其中黑龙江省最为突出,其次为吉林省、辽宁省;东北三省“强政府弱市场”格局出现多次波动,仅2003~2005年降幅较高,说明2003年“东北振兴战略”影响效果的持续性较短;东北各地市“强政府弱市场”格局具有明显的区域溢出效应,格局较明显的区域主要集中在离中心城市或沿海口岸较远的黑龙江省北部以及辽宁省、吉林省的部分内陆城市。     

地震灾害情景下产业空间网络风险评估——以日本丰田汽车为例

以日本东南海地震为情景,以日本丰田汽车及其关联企业为例,基于工厂个体数据及其部件供应的拓扑和空间网络,模拟灾害风险在产业网络中扩散转移过程,建立直接损失与间接功能损失的评估模型,为产业空间网络风险评估提供新的思路和方法借鉴。结果表明：在东南海地震情景下,丰田汽车约48.1%的工厂将直接受损,其中生产设施损失约5587亿日元,厂房建筑损失约1980亿日元。由于关键工厂受损,将间接导致整个产业网络中断。在最长37日恢复情景下,将造成约9230亿日元的间接功能损失。地震灾害对丰田汽车产业网络影响显著,有必要采取有效措施进行减灾降险。