赤道不同海域对信风张弛的响应特征——对El Nio研究的启示

当均匀的纬圈风应力作用于赤道海洋时,在东、西边界附近由于平衡的物理过程不同,其响应特征也不同。当盛吹一个方向的风时,例如东风,东边界的温跃层会变浅（冷水）,而西边界的温跃层变深。当东风吹了ｔ０时间而改吹西风时,无论东边界的温跃层还是西边界的温跃层都要持续到２ｔ０时间后,才改变其发展方向。这表明边界上的物理场带有长的“惯性”或长的“记忆”。但西边界信号向东传播的速度比东边界向西传播的速度要快,且振幅也大,从这个意义上讲,ＥｌＮｉｎｏ事件先兆从西边界附近出现后,能迅速影响到西、中太平洋,也即西边界附近更易成为ＥｌＮｉｎｏ事件的源地,特别是强的ＥｌＮｉｎｏ事件。     

C3植物光合作用日变化的模拟

对前人光合作用-气孔导度耦合模型进行了修正,建立了光合作用-蒸腾作用-气孔导度的耦合模型,它概括了叶片上各主要物理过程和生理过程之间的相互联系和制约关系。 用数值方法研究了不同环境因子（太阳辐射、温度、湿度和风速等）对光合作用、蒸腾作用和气孔导度的日变化及中午降低（midday depression）的影响。 主要结果是:（1）当边界层导度减小时,光合“午睡”加剧,蒸腾作用减弱,但作为反馈调节,气孔导度增加。 （2）气孔导度的最适温度最低,光合作用次之,蒸腾作用最适温度最高。当光合作用中午受到高温的胁迫时,气孔导度下降的幅度最大,光合作用次之,蒸腾作用的降幅最小。一天中,气孔导度降低的持续时间最长,蒸腾作用降低的持续时间最短。（3）空气绝对湿度越低,气孔导度越低,光合午睡越明显。蒸腾作用则决定于饱和水汽压差(Vpd)和气孔导度两个因素的相反的作用。蒸腾作用随Vpd增加而增大,但Vpd超过一定值后,反而使蒸腾作用下降。 （4）当温度在光合最适温度以上时,太阳辐射的增加使叶温增加,引起光合“午睡”的加剧和气孔导度的降低。（5）ci/cs在中午的降低表明气孔的关闭是光合作用“午睡”现象的原因。     

赤道不同海域对信风张弛的响应特征——对El Ni?o研究的启示

当均匀的纬圈风应力作用于赤道海洋时,在东、西边界附近由于平衡的物理过程不同,其响应特征也不同。当盛吹一个方向的风时,例如东风,东边界的温跃层会变浅（冷水）,而西边界的温跃层变深。当东风吹了t0时间而改吹西风时,无论东边界的温跃层还是西边界的温跃层都要持续到2t0时间后,才改变其发展方向。这表明边界上的物理场带有长的“惯性”或长的“记忆”。但西边界信号向东传播的速度比东边界向西传播的速度要快,且振幅也大,从这个意义上讲,El Ni?o事件先兆从西边界附近出现后,能迅速影响到西、中太平洋,也即西边界附近更易成为 El Ni?o事件的源地,特别是强的El Ni?o事件。     

科尔沁地区本世纪温度变化

根据5个代表性台站的温度等级资料,得到了东北科尔沁地区1911－1988年区域平均的温度等级时间变化序列。这个地区冬季温度在年际、年代际和长期趋势上的变化与辽东半岛地区十分相似,但夏季温度的变化在各种时间尺度上同辽东半岛均存在较显著差异。本世纪科尔沁地区冬季温度和辽东半岛一样出现了明显增暖趋势,而夏季温度的变凉趋势却不如后者显著。     

Secular variation of the direction of the ancient geomagnetic field for Loyang region,China

Curves of the variation of the inclination and declination of the geomagnetic field for the Loyang region during the last 2400 years are presented. An I-D diagram of secular variation, like that for London, has been drawn for Loyang.     

The Precambrian of the Anti-Atlas (Morocco): A geochronological synthesis

Twenty total rock Rb/Sr isochrons ($\text{λ}{}^{87}\text{Rb}\text{= 1.47 · 10}{}^{\mathrm{?11}}\text{yr}{}^{\mathrm{?1}}$) and many individual data, mainly obtained by the K/Ar and Rb/Sr methods, on total rocks and minerals show that the orogenic story of the Precambrian of the Anti-Atlas, which was studied in its western and central parts, began with the Eburnean orogeny (1900-1650 m.y.). Up to now there is no good evidence of an older basement, even if the rather high initial ratio (0.707–0.709) of some Eburnean granites might suggest that such a basement exists at depth. There is also no geochronological evidence of plutonism until in early Panafrican time (680 m.y.) there started a period of intense magmatic and thermal activity which was ended by the emplacement of late post-tectonic granites at 530-520 m.y.The late Panafrican acid volcanism does not generally give suitable material for Rb/Sr dating, because of the great mobility of the radiogenic strontium in such a material even under very weak thermal conditions.     

Evidence of the impacting body of the Ries crater — the discovery of Fe-Cr-Ni veinlets below the crater bottom

Fe-Cr-Ni particles and veinlets have been discovered in the top 15 m of the compressed zone with abundant shatter cones below the bottom of the Ries crater. The metallic particles are less than a few microns across. They occur in various minerals along healed intergranular and locally in intragranular microfractures in quartz diorite, amphibolite and chloritized granite of the basement crystalline rocks.The particles consist of major Fe, Cr, and Ni with minor Si and Ca. Origin due to contamination is absolutely ruled out. We believe that these Fe-Cr-Ni particles are probably condensed from the vaporized impacting body which produced the Ries crater. These particles were injected with high velocity into microfractures near the top of the compressed zone, implanted in and across various minerals before these microfractures were resealed. The presence of Si and Ca as well as the fact that the Cr content is nearly twice that of Ni, led us to conclude that the Ries impacting body is very likely not an iron meteorite but a stony meteorite.     

风暴潮灾害情景下海岸带暴露指数时空演变研究——以福建省东山湾为例

暴露指数反映了环境在面对极端天气事件时承受灾害的潜在风险程度。研究利用遥感影像数据、数字高程数据(DEM)、海洋水深及风力数据等, 基于暴露指数模型, 以福建省东山湾为案例研究区域, 对风暴潮灾害情景下的海岸带暴露指数及其时空演变进行分析。研究结果显示: (1)近十年来, 东山湾海岸带暴露指数总体呈下降趋势, 潜在风险程度为“中”及以上区域占比由67.14%下降至59.06%, 海岸带在面对风暴潮灾害等极端天气事件时潜在的风险程度总体降低, 海湾地貌类型差异及其形态变化是影响东山湾暴露指数产生波动的主要原因; (2)基于暴露指数评价结果, 结合海岸带开发利用现状, 研究可对东山湾海岸带生态环境的敏感区域进行识别, 并制定具有针对性的开发利用与风险防范对策, 为海岸带空间规划、生态保护修复格局的科学划定提供理论支撑, 在助力海岸带陆海统筹和可持续发展上具有重要意义; (3)研究提出的一种基于时间序列的暴露指数研究技术路线和框架, 可为海岸带脆弱性评估、海岸带韧性评估、海岸带灾害监测预警等相关研究提供新的研究视角, 在基于深度学习的海岸带灾害风险预警与灾害模拟等方面也具有较为广阔的应用前景。     

层次分析法在彩票抽奖方案选择中的应用

采用层次分析法对29种彩票抽奖方案进行排序,较为科学地解决了比较多种方案优劣程度的问题,得到了彩票抽奖方案选择问题的优化解.     

A comparative study of extensive machine learning models for predicting long-term monthly rainfall with an ensemble of climatic and meteorological predictors

Rainfall prediction is of vital importance in water resources management. Accurate long-term rainfall prediction remains an open and challenging problem. Machine learning techniques, as an increasingly popular approach, provide an attractive alternative to traditional methods. The main objective of this study was to improve the prediction accuracy of machine learning-based methods for monthly rainfall, and to improve the understanding of the role of large-scale climatic variables and local meteorological variables in rainfall prediction. One regression model autoregressive integrated moving average model (ARIMA) and five state-of-the-art machine learning algorithms, including artificial neural networks, support vector machine, random forest (RF), gradient boosting regression, and dual-stage attention-based recurrent neural network, were implemented for monthly rainfall prediction over 25 stations in the East China region. The results showed that the ML models outperformed ARIMA model, and RF relatively outperformed other models. Local meteorological variables, humidity, and sunshine duration, were the most important predictors in improving prediction accuracy. 4-month lagged Western North Pacific Monsoon had higher importance than other large-scale climatic variables. The overall output of rainfall prediction was scalable and could be readily generalized to other regions.