南海台风模式对“海燕”移动路径的预报

超强台风"海燕"是2013年最著名的台风。分析中国南海台风模式对"海燕"整个过程的预报,发现模式基本预报出"海燕"的快速穿过菲律宾和登陆越南后北翘东折的移动路径,但也存在一些不足,例如强度预报偏弱。通过高分辨率数值模拟分析了"海燕"的变化机理,发现高层暖心、高中低层一致东风气流是其超强发展和快速西移的主要特征。进一步的模式预报试验中,探讨了模拟技术对提高台风预报水平的影响作用。分析结果表明,准确的模式物理参数化(如边界层、积云对流和地形参数化)和模式初始大气构造等,以及提高模式分辨率有助于提高台风预报水平。     

新疆克拉玛依强下坡风暴的机理研究

利用美国中尺度数值模式 WRF 对2013年3月7—8日克拉玛依强风进行了模拟,对下坡风发生、发展和结束3个阶段的三维结构特征进行了分析,并由此提出克拉玛依强下坡风的形成机制模型：上游地区出现中高层西南风、低层西北风并伴有强冷平流的配置,当风速不断增大时,气流能够翻越加依尔山在背风坡侧形成重力波,重力波相位向气流上游方向倾斜产生非线性效应,促进了波不稳定区域的形成并导致波破碎,形成湍流活跃层,不断把上层的能量向下传播;克拉玛依中低层形成三层夹心的大气层结稳定度分布,出现明显的过渡气流带从而导致强下坡风的形成;南北风分量在低层和中层符号相反,形成了临界层,不断吸收上层波能量并向地面传送,强下坡风暴不断维持发展。最后利用2006—2012年克拉玛依33个强下坡风过程中的探空观测资料对提出的形成机制进行了验证。     

An Overview of Nowcasting Development, Applications, and Services in the Hong Kong Observatory

The Hong Kong Observatory （HKO） has been developing a suite of nowcasting systems to support op- erations of the forecasting center and to provide a variety of nowcasting services for the general public and specialized users. The core system is named the Short-range Warnings of Intense Rainstorm of Localized Systems （SWIRLS）, which is a radar-based nowcasting system mainly for the automatic tracking of the movement of radar echoes and the short-range Quantitative Precipitation Forecast （QPF）. The differential, integral （or variational）, and object-oriented tracking algorithms were developed and integrated into the nowcasting suite. In order to predict severe weather associated with intense thunderstorms, such as high gust, hail, and lightning, SWIRLS was enhanced to SWIRLS-II by introduction of a number of physical models, especially the icing physics as well as the thermodynamics of the atmosphere. SWIRLS-Ⅱ was further enhanced with non-hydrostatic, high resolution numerical models for extending the forecast range up to 6h ahead. Meanwhile, SWIRLS was also modified for providing nowcasting services for aviation community and specialized users. To take into account the rapid development of lightning events, ensemble nowcasting techniques such as time-lagged and weighted average ensemble approaches were also adopted in the nowcasting system. Apart from operational uses in Hong Kong, SWIRLS/SWIRLS-Ⅱ was also exported to other places to participate in several international events such as the WMO/WWRP Forecast Demon- stration Project （FDP） during the Beijing 2008 Olympics Games and the Shanghai Expo 2010. Meanwhile, SWIRLS has also been transferred to various regional meteorological organizations for establishing their nowcasting infrastructure. This paper summarizes the history and the technologies of SWIRLS/SWIRLS-Ⅱ and its variants and the associated nowcasting applications and services provided by the HKO since the mid 1990s.     

Weather extremes and street life in India—Implications of Fuzzy Cognitive Mapping as a new tool for semi-quantitative impact assessment and ranking of adaptation measures

The potential impacts of progressing climate change are alarming. Some adverse consequences are now unavoidable and adaptation measures are increasingly needful. This poses enormous challenges for emerging megacities in the Global South, which barely manage in current weather conditions. This paper introduces Fuzzy Cognitive Mapping as a new tool for structured, semi-quantitative assessments of climate change impacts and adaptation measures.Fuzzy Cognitive Mapping is used to evaluate differences in sensitivities to heatwaves and rainstorms across socio-economic groups and for the ranking of useful adaptation options, based on 188 individual interviews to the impacts of extreme weather events in Hyderabad, India. The results of this multi-stakeholder assessment indicate that rainstorms affect low-income residents more than heatwaves, while the opposite is true for medium-income respondents. The latter are also less seriously affected by extreme weather in general. Profession, though, not income determines the kind of impact that people feel most affected by. Individual characteristics like age and gender do not significantly explain differences in the data, but religion does. This is because, in Hyderabad, Muslims live in the older, less serviced and more affected parts of the city. However, semi-quantitative scenario analyses suggest that, under future climate change, many parts of the city will become increasingly exposed to the effects of extreme weather. Planned investments in urban infrastructure will be seriously challenged by climate change and preventive adaptation measures are urgently needed to at least maintain the current level of quality of life. Investments in the health infrastructure appear to be most effective in reducing the impact of heatwaves and investments in the traffic infrastructure most effective in reducing the impact of rainstorms. However, looking at heat and rain events together—which is realistic as they are both projected to increase and often occur in the same year—reveals that investments in water infrastructure and management have greatest potential to reduce impacts across all localities and on all social groups, particularly the lower-income classes. This is because first-order impacts caused by inadequate water infrastructure often give rise to second- or third-order impacts. Addressing the root cause is the most effective way to break cause-and-effect chains and prevent proliferation of negative consequences. Similar studies are suggested in other cities in order to support adaptation mainstreaming in complex urban environments. Fuzzy Cognitive Mapping proved a useful, semi-quantitative tool for climate change impact and adaptation assessments.     

北京门头沟区涧沟泥石流危险性调查评价

涧沟泥石流位于北京市门头沟区潭柘寺镇西北,本文分析了涧沟泥石流的基本特征和形成条件,预测了不同暴雨频率下的泥石流流量,结合泥石流的易发程度及可能造成的损失,评价了泥石流隐患的危险性,并提出了防治建议。     

自然泥石流与矿渣泥石流复合效应与防治对策

石棉县后沟是一条典型的自然泥石流和矿渣泥石流并存的泥石流沟。本文以石棉后沟为例,结合早期自然泥石流、矿产开采以来矿渣泥石流、以及2013年7 4复合型泥石流,总结了自然泥石流和矿渣泥石流的复合效应,包括泥石流物源补给的多元效应、泥石流发展演化的逆转效应、泥石流起动发生的复杂效应、泥石流动力沿程的放大效应、泥石流致灾破坏的链式效应。对照泥石流对已建防治工程的破坏,提出了自然泥石流和矿渣泥石流复合型泥石流沟防治对策,建议充分利用起动位置和物源集中补给位置的差异,加强对中上游及支沟自然泥石流起动和运动的拦挡防治,最大限度减小自然泥石流对下游矿渣防护工程的基底侵蚀和冲击破坏,从而保障综合防治工程的有效性。     

坡折带控制下的砂质碎屑流对油气勘探的意义——以四川盆地上三叠统须家河组为例

坡折带近年来日益受到重视,它明显控制了上覆地层分布、岩性岩相变化和油气藏的分布。通过层序地层法恢复古地貌,在川中-川西过渡带识别大型地貌坡折带,川西地区晚三叠世接受其西部和东部两个方向的物源供给。在大量岩心观察、地震资料和测井资料研究基础上,认为在坡折带控制下,龙泉山断裂带以西须二、须四段发育砂质碎屑流重力流沉积,分析其基本特征和储集性能,最后指出砂质碎屑流储层物性总体优于川西地区南部其它类型砂体,是新型的勘探对象,具有一定的勘探潜力。     

江苏平原地区(淮河流域)潜水碘含量控制因素探讨

本文通过工作区潜水碘含量的分布特点,与所处土壤、水文地质条件、地形地貌等一起进行综合分析,对地下水中碘的控制因素有了一个全新的认识:与前人认为地下水中碘的含量与有机质成正比的观点不同的是,本文认为地下水中碘的含量与有机质含量无固定关系,但有机质有助于促进水溶性碘的增加,相似水文地质条件下成正比;地下水径流条件对潜水碘含量影响重大,径流条件较好的丘陵、岗地往往较低,地势低平、径流条件较差的洼地和泛滥沉积区往往为高碘地区;相同水文地质条件下,地下水中的碘含量与土壤中的含量成正比;碘的另一重要特征是在地下水中的浓度较为稳定,随时间、开采而变化不大。     

人工示踪方法评价地下水入渗补给及其优先流程度——以河北栾城和衡水为例

利用传统人工示踪剂峰值方法评价地下水入渗补给存在精度低和适用性差等缺点。为此,本文提出了多区模型方法,采用保守型示踪剂溴和氚对河北栾城和衡水地区进行了不同土地利用方式和不同深度下地下水入渗补给评价。结果表明,栾城和衡水地区地下水入渗补给量分别为124.3 mm/a和13.7 mm/a,与传统方法(103.3 mm/a和0.0 mm/a)相比,多区模型方法的评价结果更符合实际。同时对由优先流引起的地下水入渗补给量进行了分析,栾城和衡水地区优先流程度分别为28.7%和2.3%。秸秆覆盖抑制降雨或灌溉水入渗补给地下水,降低优先流程度,而植被覆盖有利于土壤水优先流的形成。地下水入渗补给量及其优先流程度与示踪深度均无明显相关性,且受土壤结构控制。     

北京山区泥石流灾害预警方法研究

北京山区泥石流灾害较为频繁,总体以暴雨型沟谷泥石流为主,受地形、地貌、地质、降雨以及松散物类型等因素的影响比较明显。在调查分析北京山区泥石流灾害发育特征的基础上,从泥石流的形成和启动条件入手,对泥石流灾害的预警方法进行研究与探讨。