广州金沙洲岩溶地面塌陷灾害预警预报研究

受武广客运专线金沙洲隧道施工抽排大量地下水的影响, 2007—2012年广州金沙洲发生了大规模岩溶地面塌陷、地面沉降地质灾害,造成了重大经济损失。为防治地质灾害,采用综合地质调查、地下水位监测、地面沉降监测、物探、钻探和试验等手段勘查和研究,建立了完善的地下水位和地面沉降监测网络。在此基础上,根据地质环境条件、岩溶发育程度和地质灾害分布特征进行岩溶塌陷易发性分区,选择地下水位变化量和地面沉降量这两个与岩溶塌陷最直接、最敏感和最重要的参数,从预警预报参数选择、时间尺度选取、判据分析计算、预警预报方法、模型系统的建立等方面进行研究,选取临界日综合地下水位变化量和临界日综合地面沉降量作为预警预报判据,结合三维地质结构模型建立岩溶塌陷预警预报模型系统。成功地预警预报了两起岩溶地面塌陷,取得较好的预报效果,说明该岩溶地面塌陷预警预报模型系统实用、有效,为金沙洲防灾减灾提供地质科学依据,为当地的社会稳定和经济可持续发展提供技术支撑。     

辽宁省雷暴日数的时空变化特征

利用1978—2007年辽宁59个站常规地面观测资料,对雷暴日数的时空变化进行分析。结果表明：辽宁省年平均雷暴日数为28.1 d,在空间分布上呈现从东、西部山区向中部丘陵、平原及沿海地区逐渐递减的特征。1978—2007年雷暴日数总体呈逐渐下降趋势,平均每10 a下降1.2 d;并且有明显的季、月变化,夏季最多,秋季次之,冬季几乎没有发生;3—5月迅速增多,6—8月变化趋于平稳,9—12月迅速减少。雷暴在14—20时发生频率最高,20—02时次之,02—08时最少。雷暴初终间日数平均为175.8 d,最长为295 d,最短为102 d。雷暴初日4月最多,5月次之,3月最少。雷暴终日10月最多,9月次之,12月最少。并呈开始早,结束晚的趋势。     

1961—2008年阿勒泰地区异常初终霜日变化特征

以小于等于0 ℃最低气温作为霜冻指标,利用1961—2008年阿勒泰地区7个测站的逐日最低气温资料,采用现代气候诊断分析方法,分析了该地区初、终霜日和无霜期的气候变化特征。结果表明：近48 a来阿勒泰大部分地区呈初霜迟、终霜结束的早、无霜期延长的趋势,使作物生长季延长,其中哈巴河表现最为显著;极早初霜日发生频数为2—6次,以富蕴最多,极晚终霜日发生频数为1—4次。各站最迟、最早初霜日的差值和最早、最迟终霜日的差值均在30 d以上;哈巴河霜日发生了气候突变。     

两种盐生植物幼苗在NaCl处理下对昼夜温差变化的叶绿素荧光响应

以囊果碱蓬(Suaeda physophora Pall.)、梭梭(Haloxylon ammodendron (C.A.Mey.) Bunge)两种植物幼苗为实验材料,研究了不同NaCl浓度处理下,一次昼夜温差（温差为27 ℃）变化对两种植物幼苗叶绿素荧光参数变化的影响。结果表明:①在NaCl胁迫下,同期囊果碱蓬的PSⅡ潜在活性Fv/Fo和最大光化学量子产量Fv/Fm降低幅度较小,而梭梭则有较明显降低,而且囊果碱蓬显著高于后者;同期光合量子产量Yield和表观光合电子传递速率ETR均以囊果碱蓬最大并显著高于梭梭,说明囊果碱蓬较梭梭具有强的对盐分和较大的昼夜温差变化的忍耐能力,其机体在盐分和较大昼夜温差变化下,并未受到较大的损伤,而梭梭的光合器官在相同的条件下却受到了较大的损伤,证明了囊果碱蓬更适合生长于同时具有盐渍和较大昼夜温差的地区。②通过实验发现梭梭的Yield值和ETR值到下午基本上能恢复到早上的水平,说明了其在前期的胁迫条件下,虽然光合器官上受到了破坏,但仍然能够通过光合调节适应环境的变化,以保持机体的活性。③囊果碱蓬在本实验条件下,光合器官虽然没有受到损伤,但200 mmol\5L-1 NaCl抑制了其光合能力。     

Locating day-labor employment: toward a geographic understanding of day-labor hiring site locations in the San Diego metropolitan area

Day-labor hiring sites are common features of the contemporary North American landscape. These are public and semi-public spaces where mostly male residents congregate daily in hopes of being hired for short-term work. Research on contemporary day-labor markets in the United States to date tends to be policy-oriented, intended to reduce the injustices that are a common part of life as a day laborer. Unfortunately, very little is understood about the spatial organization of day-labor markets. Drawing on more than five years of mixed-methods research in the San Diego Metropolitan Area (SDMA), this paper takes two important steps toward a spatial understanding of day-labor hiring sites. First, it demonstrates that informal hiring sites are established in locations that maximize laborers’ chances of finding employment. Second, it establishes a geo-spatial typology of hiring sites for the SDMA that can be used to better tailor day-labor support efforts and policy to site-level context.     

THE ROLE OF VEGETATION DYNAMICS IN CHOCTAWHATCHEE SAND PINE INVASION OF LONGLEAF PINE FORESTS

The expansion of Choctawhatchee sand pine (Pinus clausa) into longleaf pine forests (Pinus palustris) has been widespread on the Florida Panhandle since the early 1900s. This study examines the population-level processes of this sand pine invasion. Expansion of sand pine started by 1920, but rapidly increased in the 1940s. Population establishment and growth in invasive stands has been rapid, with establishment of many sand pine pioneer individuals followed by rapid infilling as these individuals reached reproductive maturity. Both noninvasive and invasive stands had numerous sand pine seedlings and saplings. Sand pine will likely persist in these communities in the near future. Analyses of hemispherical canopy photographs and regeneration patterns illustrate the ability of sand pine to establish under a variety of light conditions. Radial growth analysis of incremental tree cores highlights the importance of episodic wind disturbances in maintaining these sand pine populations. [Key words: sand pine, longleaf pine, Pinus clausa, Florida, pine invasion, Pinus palustris.]     

双流机场雷暴天气预报方法研究

利用双流国际机场2013—2018年的逐小时气象观测资料、欧洲中心ERA-interim逐6小时再分析资料、成都市气象局多普勒天气雷达产品资料,运用统计学方法分析双流机场雷暴月变化和日变化特征,并利用相关性分析筛选出双流机场雷暴天气预报因子,在此基础上基于二级逻辑回归法建立潜势预报模型（预报方程和消空方程）,最后进行数据的回代检验。结果表明：对流有效位能、K指数、850 hPa比湿、850与500 hPa假相当位温差、回波顶高、1.5º仰角基本反射率、3.4º仰角基本反射率、垂直累积液态水含量为雷暴天气的主要预报因子,据此建立的潜势预报模型对双流机场雷暴天气的预报具有一定指示性,且综合来看在夏季的预报效果更好。     

粤西北霜日的年际变化与大气环流异常的关系

利用1964-2006年测站观测资料和NCEP/NCAR再分析资料分析了粤西北霜日的年际变化特征,及其与大气环流异常的联系.结果表明:粤西北的霜日主要集中于12月和1月;从1986年之后年霜日呈明显的递减趋势.并且粤西北的西部和南部线性递减较快;粤西北地区12月和1月霜日偏多、偏少年的大气环流异常特征相似;12月和1月...     

Analysis of the Trends of Thunderstorms in 1951–2007 in Jiangsu Province

Based on the 1951–2007 thunderstorms in Jiangsu, a study is conducted for their climate trends, periodicity, spatiotemporal patterns, and the distributions of the first and last days of the thunderstorms at different guarantee rates (GRs) using climate tendency rate, wavelet analysis, and GR for diagnosis. Results suggest that the inter-annual number of thunderstorm days (TSDs) exhibits a decreasing trend in this province. The trend is displayed mainly in the decreasing TSD number in summer and autumn except in spring, when the variation is not significant in the study period. In this province, the TSD number declines by ~2 days per 10 years. On an inter-annual basis, the pronounced positive departures of the number take place chiefly in the early 1960s, the late 1960s to the early-mid-1970s, the late 1980s, and the late 1990s compared with the negative anomalies dominant in the late 1970s to the mid-1980s, the mid-to-late-1990s, and the late 1990s to 2007. There are vast differences in the initial and ending days at diverse GRs in different areas of the province. At 50% GR, the earliest (last) days occur from mid-March to early April (early to late September) while at 80% GR, the initial (last) days are from late March to early May (early to late October). For the distribution of periods, the periods >8–10 years are relatively stable for the entire province. Based on 1951–2007 period analysis, the region north (south) of the Huaihe River experiences TSDs less (more) than normal days in recent years.     

基于MODIS双卫星积雪遥感数据的积雪日数空间分布研究

结合Terra和Aqua卫星的积雪产品,获取2001-2006年全国新的逐日积雪覆盖数据,并利用此数据通过两种方案获取了全国积雪日数分布,对比发现3大稳定积雪区中,新疆地区积雪稳定性及连续性最好,东北其次,而青藏高原地区最差;通过595个气象台站年积雪日数数据分区分不同植被类型修正MODIS获得的年积雪日数.结果表明:...