SPATIO-TEMPORAL CHANGE OF DROUGHT DISASTER IN CHINA IN RECENT FIFTY YEARS

Foreword　Inglobalview ,droughtdisasterisregardedasthemostserioustypeofnaturaldisasterintheworld ,whichhascausedthewidestrangeofeffectsandthebiggesteconomiclosses .Se veredroughtsmainlyoccurinAfrica ,India ,China ,formerSovietUnion ,NorthAmerica ,andAustralia,accountingforalmosthalfofcountriesintheworld .Droughtdisasteroccursfre quentlyinChina ,withwiderangeofinfluence ,whichisthemostseriousmeteorologicaldisas ter ,causingeconomiclossesinagriculture .Fromthe 50’stothe 80’sinthe 2 0thcent…     

落实科学发展观,推进莆田市污染治理进程

通过对近年来莆田市环境污染现状的调查分析，对莆田市环境发展趋势作出预测，提出环境污染治理对策措施，以推进莆田市环境污染治理进程。     

北京市耕地面积变化趋势预测及保护对策研究

耕地资源是人类生存和发展最重要的物质基础，也是不可再生的稀缺资源。特别是北京这样的国际大都市，人地矛盾十分突出，每寸土地都显得弥足珍贵。基于1996-2005年北京市的耕地面积数据，利用灰色模型预测方法建立GM（1，1）模型，对北京市2006-2010年的耕地面积变化趋势进行预测。预测结果显示，北京市耕地面积在未来几年内将呈现出持续减少的趋势，2010年耕地面积将比1996年减少约1／2。针对这种趋势和北京市的实际情况，提出了相应的耕地保护对策。     

塔克拉玛干沙漠腹地沙尘暴特征--以塔中地区为例

塔克拉玛干沙漠是中国油气开发的重要区域，沙尘暴是该区域重要的灾害性天气，但以往相关的研究很少。为了了解塔克拉玛干沙漠腹地沙尘暴的发生规律，利用塔中气象站1997-2002年的气象资料，对塔中地区沙尘暴的强度、过程、类型和时间变化等特征进行了分析。研究结果表明：（1）塔中年平均沙尘暴日数为16．83d，较沙漠北缘的轮台和沙漠南缘的民丰、和田为多，体现出沙尘源对沙尘暴发生的影响；（2）沙尘暴发生之前出现明显的风速突然降低和风向转换；（3）同塔里木盆地其它区域一样，塔中沙尘暴也可分为5种类型，其主导类型为冷空气东灌型；（4）沙尘暴时间变化规律明显，且从20世纪90年代至21世纪初，塔中沙尘暴日数与持时明显下降，同全疆的变化趋势一致。     

模糊聚类分析在中国火灾危害分类中的应用

火灾现象具有随机性、模糊性,是个复杂的模糊系统行为。运用模糊聚类分析方法,借助于M ATLAB计算软件,对中国火灾的危害程度进行了分类。根据2000年中国火灾统计资料,把31个省市分为重灾区、较重灾区、一般灾区、轻灾区等4类,与传统的概率统计方法相比,本方法更符合客观实际。城市火灾分类是动态的,重灾区吸取教训,增强消防意识,增大消防投入,可减少火灾隐患;而轻灾区如不注意防范,也会增加火灾隐患。因此不论轻重灾区,均应时时增强防范意识,把火灾危害降至最低。     

厄尔尼诺事件对黑龙江省春夏季降水的影响

利用实际监测资料,分析了40年中厄尔尼诺(Elnino)现象与黑龙江省降水距平之间的时空变化关系.结果发现,厄尔尼诺现象发生的当年及前一年,黑龙江省以春季4-6月份少雨干旱与夏秋季7,8月份(除厄尔尼诺年前一年的8月份外)多雨洪涝为主要气候特征;在厄尔尼诺年的下一年,春季4,6月份与秋季8,9月份一般具有少雨干旱的趋势.     

TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.     

我国道路交通安全发展情景分析

以日本和美国为例 ,分析了发达国家道路交通事故高发期的发展历程 ,得出了道路交通事故的上升与国家经济发展和机动化增长有着直接关系的结论。笔者通过分析和预测我国经济和道路交通的发展情景发现 ,今后我国道路交通发展特征和日本道路交通高发期的情况十分类似。如果现有交通管理体制和技术措施没有大的变化 ,我国道路交通事故死亡人数到 2 0 2 0年可能会超过 2 3万人。为此 ,国家应尽快改善道路交通管理方面所存在体制上、行政上和技术上的不足 ,防止出现笔者所预测的道路交通事故极其严重的局面。     

SUMMER LOW FLOWS IN NEW ENGLAND DURING THE 20TH CENTURY1

ABSTRACT: High springtime river flows came earlier by one to two weeks in large parts of northern New England during the 20th Century. In this study it was hypothesized that late spring/early summer recessional flows and late summer/early fall low flows could also be occurring earlier. This could result in a longer period of low flow recession and a decrease in the magnitude of low flows. To test this hypothesis, variations over time in the magnitude and timing of low flows were analyzed. To help understand the relation between low flows and climatic variables in New England, low flows were correlated with air temperatures and precipitation. Analysis of data from 23 rural, unregulated rivers across New England indicated little evidence of consistent changes in the timing or magnitude of late summer/early fall low flows during the 20th Century. The interannual variability in the timing and magnitude of the low flows in northern New England was explained much more by the interannual variability in precipitation than by the interannual variability of air temperatures. The highest correlation between the magnitude of the low flows and air temperatures was with May through November temperatures (r =?0.37, p= 0.0017), while the highest correlation with precipitation was with July through August precipitation (r = 0.67, p > 0.0001).     

中国碳排放强度的时空演进及跃迁机制

面对气候变化所带来的生存危机以及环境治理的复杂状况,对中国碳排放强度时空演进的动态监测与预警治理的研究是实现碳排放强度下降目标的关键。文章测算1997—2015年中国大陆30个省区碳排放强度的空间面板数据,采用探索性时空数据分析(ESTDA)方法对中国碳排放强度的空间相关性、集聚特征及其时空跃迁进行空间统计分析,借助分位数回归与时空跃迁嵌套模型,揭示在时间和空间推移的双重作用下中国各省区碳排放强度的时空跃迁机制。研究结果表明:(1)中国30个省区的碳排放强度在时空分布上并不是完全随机状态,各个省区碳排放强度之间具有显著的空间相关性特征,碳排放强度的变动趋势会受到其相临近省区碳排放强度的影响,省域间的碳排放强度在空间分布上呈现"集聚"与"分异"并存的时空演进特征。(2)中国碳排放强度空间集聚趋势增强,具有高度的凝固性和较低的流动性,10个高碳排放强度省区碳排放强度的稳定性将成为制约中国碳排放强度整体跃迁的重点省区,相关省区的跃迁性将成为驱动中国碳排放强度整体跃迁的关键省区。(3)各省区的碳排放强度空间集聚过程中存在时空跃迁的驱动模式和制约模式,分位数回归模型能够很好地解释各驱动因素对碳排放强度时空跃迁的驱动机制,不同响应阶段的驱动因素的分位数与碳排放强度时空跃迁类型之间具有很强的嵌套性。(4)根据各省区碳排放强度时空演进及其跃迁机制的分析结果,进一步提出加强对关键省区碳排放强度的有效监测与治理,加大碳排放的约束力度等差异化的碳减排调控措施。