全球粮食安全格局的时空演化

Food security is the primary prerequisite for achieving other Millennium Development Goals(MDGs).Given that the MDG of“halving the proportion of hungers by 2015”was not realized as scheduled,it will be more pressing and challenging to reach the goal of zero hunger by 2030.So there is high urgency to find the pattern and mechanism of global food security from the perspective of spatio-temporal evolution.In this paper,based on the analysis of database by using a multi-index evaluation method and radar map area model,the global food security level for 172 countries from 2000 to 2014 were assessed;and then spatial autocorrelation analysis was conducted to depict the spatial patterns and changing characteristics of global food security;then,multi-nonlinear regression methods were employed to identify the factors affecting the food security patterns.The results show:1)The global food security pattern can be summarized as“high-high aggregation,low-low aggregation”.The most secure countries are mainly distributed in Western Europe,North America,Oceania and parts of East Asia.The least secure countries are mainly distributed in sub-Saharan Africa,South Asia and West Asia,and parts of Southeast Asia.2)Europe and sub-Saharan Africa are hot and cold spots of the global food security pattern respectively,while in non-aggregation areas,Haiti,North Korea,Tajikistan and Afghanistan have long-historical food insecurity problems.3)The pattern of global food security is generally stable,but the internal fluctuations in the extremely insecure groups were significant.The countries with the highest food insecurity are also the countries with the most fluctuated levels of food security.4)The annual average temperature,per capita GDP,proportion of people accessible to clean water,political stability and non-violence levels are the main factors influencing the global food security pattern.Research shows that the status of global food security has improved since the year 2000,yet there are still many challenges such as unstable global food security and acute regional food security issues.It will be difficult to understand these differences from a single factor,especially the annual average temperature and annual precipitation.The abnormal performance of the above factors indicates that appropriate natural conditions alone do not absolutely guarantee food security,while the levels of agricultural development,the purchasing power of residents,regional accessibility,as well as political and economic stability have more direct influence.     

地质灾害的监测及监测系统

概要介绍地质灾害的监测与监测系统的总体构思。即:地质灾害监测系统应具有数字化、自动化和网络功能;将灾害发生前的特征信息通过传感器转化为数字化信息、数字化传输、数据库存储并提供使用。文中还介绍了位移传感器的实验研究和在长江三峡链子崖危岩体监测中的应用情况。     

长江中下游夏季高温灾害机理及预测

利用我国1961-2003年夏季（6—8月）高温资料，建立长江中下游地区主要城市强高温及高温过程较完整的时间序列，探讨了该地区主要城市高温气候特征。分析该地区南京、杭州、南昌等城市夏季高温灾害机理，东亚副热带高压是造成长江中下游地区城市夏季高温的主要影响系统。在此基础上用均生函数-最佳子回归集构造预测模型，预测夏季月高温出现日数，通过42a高温资料预报检验，有较好的预测效果，值得在业务中应用。     

中国海洋的珊瑚-珊瑚礁: 南海中央区珊瑚-珊瑚礁生物多样性特征

珊瑚是地球上最古老的原住民,具有近6×108年的发育史,弱势群居、喜温和原地长成是珊瑚的基本特征。作者介绍了珊瑚-珊瑚礁的基本特征,综述了跨十年调查的研究区珍贵照片资料和相关认识,指出中国是全球主要的珊瑚-珊瑚礁国家,地位举足轻重;珊瑚-珊瑚礁作为地球生物多样性的代表,造岛、固礁、护鱼、防护岛岸流失,形成南海四大群岛280余座岛、礁、滩、沙,所构建庞大海洋生态系统是无与伦比的海洋生态资源和寸土寸金的南海海洋国土。提出划分南海珊瑚-珊瑚礁为中央区和周缘区2个分布区,阐述了南海中央区珊瑚-珊瑚礁的基本特征,系统汇集报道了间隔10年2个科考航次调查在浅水礁盘浮潜、至20 m水深浅潜-深潜和礁盘及开展岛、礁、滩、沙地质调查的发现,包括科学定名46种六放石珊瑚和6种八放软珊瑚等成果,同时,收集了西沙、中沙、东沙和南沙群岛海域的相关调查航次珊瑚照片;进一步阐述了单体环礁和复合环礁的特征及分布,并进行了初步对比,指出永乐环礁是南海唯一一个真正的切合达尔文模式的环礁,也是环礁发展到最高阶段的产物,构成现代海洋珊瑚-珊瑚礁形成演化研究最好的天然实验室。     

珠江三角洲地区重磁资料解释的深部断裂系统

采用中国地质大学(武汉)完成的海洋863项目"海洋深部地壳探测技术"专题"重磁地震综合反演的方法技术及软件系统"中的软件(包括10多种方法技术),对珠江三角洲地区重磁资料进行数据处理,有效成图重力71幅,航磁88幅,共129幅.     

西南某山区机场的工程地质分区及其评价

工程地质分区作为山区机场工程地质勘察的重要组成部分,将直接影响其勘察的精度和质量,并关系到机场建设的周期和投资预算。文章以西南某山区机场勘察为例,在综合分析研究区工程地质条件的基础上,对研究区影响工程地质分区的受控因素进行了探讨,并对各区段的主要工程地质问题进行了综合评价。     

库姆塔格沙漠的“羽毛状沙丘”形态的观测

参照卫星照片和地形图,实地观测了库姆塔格沙漠“羽毛状沙丘”分布区域的地貌。新月型“沙垄”是该区域的主导性地貌类型,垄间地形波状起伏。如果将“沙垄”喻为“羽轴”,垄间的波状起伏地形为“羽枝”,则可构成卫星照片所显示的“羽毛状沙丘”。新月型“沙垄”的走向为NE-SW,由新月形沙丘前一沙丘的迎风坡与后一沙丘的东翼相连而成,高3~19m,宽约50m,长15~22km。“垄”间起伏地形的波长为100~300m,振幅为40~100cm,与“沙垄”成60~105°夹角。在波状起伏地形的波峰与波谷过渡区堆积颜色较浅的细沙,厚2~7cm,构成了“大沙波”。实地观测的“羽毛状沙丘”的形态与卫星照片显示的形态有一定差异。     

拉西瓦左坝肩大型古变形体形成演化及其稳定性分析

拉西瓦水电站坝址论证阶段已查明,拟建坝址区内多个变形破裂体的潜在失稳严重危及着拉西瓦工程的顺利施工与安全运行,尤其是左坝肩ⅡB大型古变形破裂体已成为坝址变形体研究的关键问题.立足于大量的地面调查、多个平硐勘探与测试,本文首先介绍了ⅡB大型变形破裂体的变形破裂特征,并应用现场氡气探测裂缝深度等结果,界定了变形体的边界.其次,采用ESR方法对变形体内各典型裂缝进行了地质测年,分析了ⅡB大型变形破裂体的形成机制与形成演化过程,并探讨了该变形体的稳定性.研究表明,大多数裂缝都是在10万年以前形成,也证明了该变形体为一古变形体;在天然状态下ⅡB变形体目前整体处于稳定状态,但其表部和前缘有局部稳定性较差的部位.     

塔克拉玛干沙漠沙尘演变及气候因素分析

Based on the sand dust storms data and climatic data in 12 meteorological stations around sand dust storm originating areas of the Taklimakan Desert, we analyzed the trends of the number of dust storm days from 1960 to 2005 as well as their correlations with temperature, precipitation, wind speed and the number of days with mean wind speed 〉 5 m/s. The results show that the frequency of dust storm events in the Taklimakan region decreased with the elapse of time. Except Ruoqiang and Minfeng, in the other 10 meteorological stations, the frequency of dust storm events reduces, and in 4 meteorological stations of Kuqa, Korla, Kalpin and Hotan, the frequency of dust storm events distinctly decreases. The temperature has an increasing trend, while the average wind speed and the number of days with mean wind speed ≥ 5 m/s have decreasing trends. The correlation analysis between the number of days of dust storms and climatic parameters demonstrates that wind speed and the number of days with mean wind speed 〉 5 m/s have strong positive correlation with the number of days of dust storms, with the correlations coefficients being 0.743 and 0.720 （p〈0.01）, respectively, which indicates that strong wind is the direct factor resulting in sand dust storms. Whereas precipitation has significant negative correlation with the number of days of dust storms （p〈0.01）, and the prior annual precipitation has also negative correlation, which indicates that the prior precipitation restrains the occurrence of sand dust storms, but this restraining action is weaker than the same year＇s precipitation. Temperature has negative correlation with the number of dust storm days, with a correlations coefficient of -0.433 （p〈0.01）, which means that temperature change also has impacts on the occurrence of dust storm events in the Taklimakan region.