秋野

夏天沉重的云彩走了,灰气还没来,天蓝得人想用舌头舔。大雁朝南飞,叫着,一丸一丸圆而凉的叫声,抛撒在秋天的大地上,有点儿凄凉。田野里没什么了,莜麦快割完了,还有就是胡麻。我跟着舅舅到邻村的油坊去打葫油,打了葫油烙月饼。路过胡麻地,胡麻地里,小路蛇一样跟在身后蜿蜒。     

Spatial and temporal distribution of precipitation based on corrected TRMM data around the Hexi Corridor, China

Accurate rainfall distribution is difficult to acquire based on limited meteorological stations, especially in remote areas like high mountains and deserts. The Hexi Corridor and its adjacent regions （including the Qilian Mountains and the Alxa Plateau） are typical districts where there are only 30 available rain gauges. Tropical Rainfall Measuring Mission （TRMM） data provide a possible solution. After precision analysis of monthly 0.25 degree resolution TRMM 3B43 data from 1998 to 2012, we find that the correlations between TRMM 3B43 estimates and rain gauge precipitation are significant overall and in each station around the Hexi Corridor; however, the biases of annual precipitation differ in different stations and are seriously overestimated in most of the sites. Thus, Inverse Distance Weighting （IDW） interpolation method was used to rectify TRMM data based on the difference between TRMM 3B43 estimates and rain gauge observations. The results show that rectified TRMM data present more details than rain gauges in remote areas where there are few stations, alt- hough they show high coherence of distribution. Precipitation decreases from southeast to northwest on an annual and seasonal scale. There are three rainfall centers （〉500 mm） including Menyuan, Qilian and Toson Lake, and two low rain- fall centers （〈50 mm） including Dunhuang and Ejin Banner. Meanwhile, precipitation in most of the study area presents an increasing trend; especially in northern Qilian Mountains （〉5 mm/a）, Badain Jaran Desert （〉2 mm/a）, Toson Lake （〉20 mm/a） and Qingtu Lake （〉20 ram/a） which shows a significant increasing trend, while precipitation in Hala Lake （〈-2 mm/a） and Tengger Desert （〈-3 mm/a） demonstrates a decreasing trend.     

New progress and problems of Quaternary moraine dating in the Tibetan Plateau

Since the 20th century, numerous Quaternary moraine dating methods have emerged, including lichenometric, moraine 14C, quartz sand thermoluminescence （TL）, electron spin resonance （ESR）, optically stimulated luminescence （OSL） and 10Be, 26A1, 36C1, 3H, 21Ne nuclide dating methods. These dating methods are widely applied to determine moraine ages and have provided a large dataset. Unfortunately each method has its defects. In this paper, we will review these various dating methods and provide some comments.     

江西上高蒙山银矿——一个湮没数百年的国内最大古代银矿遗址

<正>银矿是人类最早采集开发的金属矿物之一,矿区在我国分布极广,而以江西的探明储量最多,占全国总量的15.5%。江西西部上高县,湮没在茫茫蒙山山脉的一座古代银矿遗址,引起中外考古、地质专家的极大关注。这座堪称国内最大、保存最完整的古银矿遗址,曾以其200年的银矿开发生命,先后为宋元明三个工朝输送着经济货币。在蒙山深处,古银矿是怎样走完了其辉煌而又曲折历程的?     

有巴蜀之雄浑刚强 有荆楚之柔媚清丽 有三秦之古朴粗犷 安康 蕴有“万年丰乐 安宁康泰”之意的美丽城市

安康市位于陕西省东南部,居川、陕、鄂、渝交接部,南依巴山北坡,北靠秦岭主脊,东与湖北省的郧县、郧西县接壤,东南与湖北省的竹溪县、竹山县毗邻,南接重庆市的巫溪县,西南与重庆市的城口县、四川省的万源市相接,西与汉中市的镇巴县、西乡县、洋县相连,西北与汉中市的佛坪县、西安市的周至县为邻,北与西安市的户县、长安区接壤,东北与商洛市的柞水县、镇安县毗连。安康市在石器时代已有人类活动。     

地处秦岭南麓 位处汉中市西缘 居处嘉陵江上游 略阳 夏无酷暑冬无严寒气候温润的美丽地方

略阳县位于陕西省的西南端,汉中市西缘,秦岭南麓,嘉陵江上游,处于陕甘川三省交界地带。东南与汉中市宁强、勉县接壤;西北与甘肃省的康县、成县、徽县相邻。全县幅员面积2831平方公里。属北亚热带北温润季风气候,夏无酷署,冬无严寒,年平均气温13.2℃,年平均降雨量860毫米。略阳历史悠久,早在新石器时代,境内即有人类生活和从事生产活动。     

参加CMIP5的四个中国气候模式模拟的东亚冬季风年际变率

本文比较了中国参加“国际耦合模式比较计划”（CMIP5）的四个大气环流模式（即FGOALS-g2、FGOALS-s2、BCC-CSM1-1、BNU-ESM大气模式）在观测海温驱动下,对东亚冬季风（EAWM）气候态和年际变率的模拟能力。结果表明,在气候态上,四个模式均合理再现了EAWM高低层环流系统（包括低层西伯利亚高压（SH）、阿留申低压、异常偏北风、和中高层东亚大槽、西风急流）,其中对2 m气温和500 hPa高度场的模拟技巧最高,四个模式模拟的结果与再分析资料的空间相关系数都达到0.99。在年际变率上,分别对东亚北部地区（30°N～60°N,100°E～140°E）和东亚南部地区（0°～30°N,100°E～140°E）的2 m气温进行经验正交函数分解（EOF）,提取变率主导模态。结果表明,在东亚北部地区,四个模式对2 m气温第一模态（简称“北部型”）的空间分布均有很高的模拟技巧,但只有BNU-ESM能够较好再现其对应的年际变率,其模拟的时间序列与观测的相关系数为0.69。四个模式均能模拟出观测中的3.1 a主导周期,但只有FGOALS-s2和BNU-ESM能模拟出观测中的2.5 a主导周期。在东亚南部地区,模式模拟的前两个主模态共同解释观测中第一模态（简称“南部型”）的特征,其中FGOALS-g2、FGOALS-s2和BNU-ESM的综合模拟技巧较高,但只有BNU-ESM成功再现了观测中2.5 a和3.1 a的主导周期。机理分析表明,FGOALS-g2、FGOALS-s2、BNU-ESM三个模式能合理再现菲律宾海反气旋,同时对南部型有较高的模拟能力,而BCC-CSM1-1则未能有效再现菲律宾海反气旋,使得 BCC-CSM1-1对南部型模拟技巧较低。观测和四个模式模拟的结果一致表现出北极涛动（AO）与北部型PC1呈显著相关,影响大于SH。     

渤海地区平台结构设计环境条件选取分析

随着平台的使用年限增长,环境条件随着海洋环境的变化而变得日益恶劣,对于渤海地区,提出了是否采用100年一遇环境条件替换50年一遇环境条件进行结构设计.经过对渤海地区的部分中心平台和井口平台50年/100年环境条件对比分析,提出了对于渤海地区海上平台结构采用100年一遇环境条件替换50年一遇环境条件.     

Water discharge variability of Changjiang （Yangtze） and Huanghe （Yellow） Rivers and its response to climatic changes

Influences of large-scale climatic phenomena, such as the E1Nifio/La Nifia-Southem Oscillation （ENSO） and the Pacific Decadal Oscillation （PDO）, on the temporal variations of the annual water discharge at the Lijin station in the Huanghe （Yellow） River and at the Datong station in the Changjiang （Yangtze） River were examined. Using the empirical mode decomposition-maximum entropy spectral analysis （EMD- MESA） method, the 2- to 3-year, 8- to 14-year, and 23-year cyclical variations of the annual water discharge at the two stations were discovered. Based on the analysis results, the hydrological time series on the inter- annual to interdecadal scales were constructed. The results indicate that from 1950 to 2011, a significant downward trend occurred in the natural annual water discharge in Huanghe River. However, the changes in water discharge in Changjiang River basin exhibited a slightly upward trend. It indicated that the changes in the river discharge in the Huanghe basin were driven primarily by precipitation. Other factors, such as the precipitation over the Changjiang River tributaries, ice melt and evaporation contributed much more to the increase in the Changjiang River basin. Especially, the impacts of the inter-annual and inter-decadal climate oscillations such as ENSO and PDO could change the long-term patterns of precipitation over the basins of the two major rivers. Generally, low amounts of basin-wide precipitation on interannual to interdecadal scales over the two rivers corresponded to most of the warm ENSO events and the warm phases of the PDO, and vice versa. The positive phases of the PDO and ENSO could lead to reduced precipitation and consequently affect the long-term scale water discharges at the two rivers.     

2012年成都市PM10污染与地面气象条件的相关性分析

为了解2012年成都市PM10浓度分布情况及其与地面气象条件的相关性,通过分析2012年PM10浓度的分布情况,选取了13次污染过程,并对这些过程中的地面气象要素情况进行分析。结果表明,PM10浓度呈波状分布,其中3月和11月分别达到峰值,7月为全年最低;过程期间各变量具有以下特征:PM10浓度与温度呈正相关,与气压呈负相关,当有降温升压时PM10浓度减小;24小时变压变温都较小,表明天气较稳定;地面风速小,普遍小于2m/s,且主要为弱偏西偏北风,而当风速增大时有利于PM10的扩散;低能见度与较大的相对湿度对应较好,二者有明显的负相关。