中国碲矿成矿规律概要

富金斑岩-矽卡岩矿床产出了大部分碲资源,其他类型碲矿资源时空分布规律暂未明确。在全国矿产资源潜力动态评价项目开展过程中,本文对中国碲矿资源特征、碲矿类型、时空分布进行分析与归纳,初步总结了中国碲矿成矿规律。本文对中国碲矿的资源特征进行了介绍;收集了全国45个含碲矿床的资料,将中国碲矿分为碱性-偏碱性侵入岩型、卡林-类卡林型、浅成低温热液型、斑岩-矽卡岩型、造山型、铜镍硫化物型6大预测类型;将碲矿形成时代分为元古宙、古生代、中生代、新生代4个成矿期,划分了9个碲成矿带,即吉黑、华北陆块西缘、华北陆块北缘、辽东、秦岭、苏鲁、长江中下游、三江、南岭成矿带;厘定出34个与碲矿有关的成矿系列,建立了中国碲矿成矿谱系。综合研究所得,中国碲矿以晚古生代和中生代华北和东北地区的浅成低温热液型、斑岩-矽卡岩型、铜镍硫化物型矿床,小秦岭-熊耳山地区的造山型矿床,长江中下游和滇川黔地区的斑岩-矽卡岩型、铜镍硫化物型矿床为主。     

塔里木克拉通北缘阔克塔格西富碱侵入岩成因及其构造意义——锆石U- Pb年代学、岩石地球化学及Sr- Nd- Hf- O同位素制约

富碱侵入岩具有深源浅成的属性,是示踪地幔组成的窗口。位于东天山与塔里木克拉通北缘交界处的阔克塔格以西出露一处以正长岩为主体、包含少量中—基性岩石单元的富碱侵入岩。LA- ICP- MS锆石U- Pb测年显示其侵位于227~224 Ma之间,为印支期岩浆作用产物。该岩体具有富碱（Na2O+K2O=7. 93%~ 12. 28%）、富铝（Al2O3=15. 62%~18. 67%）、贫镁（MgO=0. 12%~4. 01%）、贫钛（TiO2=0. 14%~1. 63%）的特征,属于准铝质的（A/CNK=0. 78~1. 00）高钾钙碱性—钾玄岩系列。微量元素表现出高场强元素Nb、Ta、Th、U、Zr、Hf的富集,不相容元素Sr、P、Ti的亏损特征;轻重稀土分馏明显（（La/Yb）N=15. 09~34. 90）,表现为轻稀土强烈富集的右倾型曲线,Eu异常变化较大（δEu=0. 12~1. 72）。在同位素组成上,富碱侵入岩呈现相对宽泛但总体富集的全岩Sr- Nd和锆石Hf同位素特征,(87Sr/86Sr)i=0. 70489~0. 70581,εNd(t)=14. 56~6. 74,εHf(t)=11. 48~+3. 06,锆石δ18O值（5. 49‰~6. 87‰）略高于地幔值（5. 3‰±0. 6‰）。阔克塔格西富碱侵入岩具A1型花岗岩特征,形成于板内伸展构造环境中。基于主、微量元素及Sr- Nd- Hf- O同位素特征,笔者认为该杂岩体为同源岩浆演化产物,源于富集岩石圈地幔的原始岩浆上升并经历AFC（同化混染- 分离结晶）过程。晚三叠世塔里木克拉通北缘—东天山—北山地区处于板内构造体制,A1型花岗岩和正长岩差异化的时空分布特征很可能记录了古亚洲洋自西到东 “剪刀式”的闭合过程。     

1971-2010年河南省霜期的时空分布及其对气温的响应

利用1971-2010年河南省均匀分布的110个地面气象站霜的观测资料,采用线性倾向率和单相关分析法,对近40 a河南省初霜期、终霜期和无霜期的时空分布特征及其对气温的响应进行研究,利用M-K法分析霜期的突变特征。结果表明：1971-2010年河南省平均无霜期为221.3 d,纬度与初霜期（R=-0.806）和无霜期（R=-0.707）均呈显著负相关,与终霜期（R=0.557）呈显著正相关;初霜期以2.6 d/10 a的速率呈明显推迟（p<0.01）,而终霜期的线性变化趋势不明显,无霜期以4.7 d/10 a的速率呈明显延长（p<0.01）;初霜期、终霜期和无霜期的突变点均在1998年。从各地区看,初霜期在各地区呈明显推迟,豫西地区推迟趋势最大（3.5 d/10 a,p<0.01）;终霜期仅在豫西和豫南地区呈显著提前;除豫东地区外,无霜期在其余5个地区均呈明显延长,豫西地区延长趋势最大（7.7 d/10 a,p<0.01）。从各观测站霜期的变化趋势空间分布来看,初霜期显著推后、终霜期显著提前和无霜期明显延长的站点分布在豫西和豫南地区。河南省初霜期与10月、终霜期与3月气温因子相关性较强;初霜期推迟和终霜期提前主要由气温升高引起的,其中平均最低气温是最重要的影响因素。初霜期推迟和终霜期提前导致无霜期延长。     

Arctic sea ice and Eurasian climate: A review

The Arctic plays a fundamental role in the climate system and has shown significant climate change in recent decades,including the Arctic warming and decline of Arctic sea-ice extent and thickness. In contrast to the Arctic warming and reduction of Arctic sea ice, Europe, East Asia and North America have experienced anomalously cold conditions, with record snowfall during recent years. In this paper, we review current understanding of the sea-ice impacts on the Eurasian climate.Paleo, observational and modelling studies are covered to summarize several major themes, including: the variability of Arctic sea ice and its controls; the likely causes and apparent impacts of the Arctic sea-ice decline during the satellite era,as well as past and projected future impacts and trends; the links and feedback mechanisms between the Arctic sea ice and the Arctic Oscillation/North Atlantic Oscillation, the recent Eurasian cooling, winter atmospheric circulation, summer precipitation in East Asia, spring snowfall over Eurasia, East Asian winter monsoon, and midlatitude extreme weather; and the remote climate response(e.g., atmospheric circulation, air temperature) to changes in Arctic sea ice. We conclude with a brief summary and suggestions for future research.     

一种改进的数值预报降水偏差订正方法及应用

对传统的消除偏差法进行改进,形成分等级消除偏差法,并使用混合训练期和60 d滑动训练期方案分别对2012年6—8月ECMWF (European Centre for Medium-Range Weather Forecasting) 模式夏季1~5 d的降水预报进行订正试验。为了尽可能符合中国东部夏季降水具有移动性及多种时间尺度变化的特点,混合训练期以预报期前30 d与预报期前一年同日的前后各15 d组成。结果表明:在使用分等级消除偏差法的基础上,相比ECMWF模式降水预报,两种训练期方案的订正结果几乎对各个阈值的ETS评分均有一定提高,特别是对25 mm以上降水预报评分的提高幅度,混合训练期方案的订正结果明显高于60 d滑动训练期方案;在区域性强降水预报的订正中,混合训练期方案优势更为明显。另外,通过分析两种训练期方案的预报偏差发现,分等级订正是此次消除偏差订正试验中提高强降水预报评分的关键,选择合适的训练期可以增加评分提高的幅度。由于上述试验使用的ECMWF模式预报和站点实况均是业务上常用数据,因此,该方法具有一定的业务应用价值。     

桂东北均洞花岗岩体的锆石U-Pb年龄、地球化学特征及其构造意义

均洞花岗岩体出露于钦杭结合带西南部,对揭示桂东北构造演化具有重要意义,其岩石组合为石英黑云母闪长岩、黑云母二长花岗岩和黑云母二长岩.文章运用LA-ICP-MS锆石U-Pb测年方法,获得均洞岩体的结晶年龄为423～430 Ma,为加里东期造山作用的产物.均洞岩体的SiO2含量较低(55.47～62.95 wt％);其中一...     

El Niño and decadal effects on sea‐level variability in northern New Zealand: A wavelet analysis

Sea‐level data from two sites in northern New Zealand, along with the Southern Oscillation Index (SOI), are analysed for interannual and decadal variability using wavelets. The analysis shows, using statistically significant wavelet power, there is a significant relationship between mean sea level (MSL) and SOI. However, the relationship is highly variable, both in magnitude and in the range of time‐scales over which it occurs. This non‐stationarity necessitates the use of techniques such as wavelets for analysis. An interdecadal response in MSL around northern New Zealand has been isolated, with shifts occurring in 1950 and the late 1970s. This behaviour in MSL appears to coincide with shifts in the Pacific Decadal Oscillation, thought previously to be largely centred in the North Pacific. A strong correlation between SOI and sea surface temperature (SST) is also demonstrated. This relationship appears to be stable in magnitude (a large change in SOI produces a large change in SST) and to occur over the same range of time‐scales. More SST and MSL data are required for other parts of New Zealand to determine whether these findings apply elsewhere.     

莱芜市汛期地质灾害防治方案初探

莱芜市是一个矿产资源开采历史比较悠久的城市,也是一个地质灾害多发的地区。莱芜市国土资源局通过加强组织领导,组织专题宣传活动,修复治理损毁山体问题,加大日常监管措施,推进生产矿山的恢复治理等措施,取得良好的治理效果,矿山地质环境恢复治理率达66％,有效保护了当地的地质环境。     

波浪作用下基于不同负载的一种Savonius型水轮机捕能性能研究

通过水轮机捕能是当前常用的海洋能利用方式之一。桨叶作为水轮机关键部件,其性能一直是研究的重点。针对目前波浪条件下带负载运转的Savonius型水轮机相关捕能性能研究较少的情况,采用数值仿真方法,结合对应工况条件的物理试验,研究了一种Savonius型水轮机在不同波浪环境下带负载运转的捕能性能。采用Star CCM+仿真软件,建立数值波浪水池,设置环境参数,划分网格调整变量进行水轮机运转的水动力模型数值研究。在造波试验水池中利用推板改变波浪周期与波高,进行水轮机运转的物理试验。采集在不同负载下水轮机桨叶的转速和扭矩数据,计算并分析功率等参数,总结变化趋势,评价捕能效果。研究发现水轮机在1.6 s的波浪周期条件下,桨叶承受1.5 N·m负载时达到最佳捕能效果,其功率为23 W。为实际海域中水轮机桨叶的结构设计研究和相关工程应用提供参考。     

Retrieving multi-scale climatic variations from high dimensional time-series MODIS green vegetation cover in a tropical/subtropical mountainous island

【Title】
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis （PCA） on 11 years （2001~2011） of high-dimensional monthly photosynthetically active vegetation cover （PV） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS） and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component （PC1, explaining 94.5% of variance） loadings, as expected, were significantly correlated with the temporal dynamics of the PV （r = 0.94）, which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 （0.8% and 0.6% of variance, respectively） were significantly correlated with the temporal dynamics of the PV of forests （r = 0.72） and the farmlands （r = 0.80）, respectively. The low-order components （PC4 and PC5, 0.3% and 0.2% of variance, respectively） were closely related to the occurrence of drought （r = 0.49） and to irregular ENSO associated climate anomalies （r = -0.54）, respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index （SOI） with one to three months of time lags （r = -0.35 ~ -0.43, respectively）, revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.