Response of active tectonics on the alluvial Baghmati River, Himalayan foreland basin, eastern India

Active tectonics in a basin plays an important role in controlling a fluvial system through the change in channel slope. The Baghmati, an anabranching, foothills-fed river system, draining the plains of north Bihar in eastern India has responded to ongoing tectonic deformation in the basin. The relatively flat alluvial plains are traversed by several active subsurface faults, which divide the area in four tectonic blocks. Each tectonic block is characterized by association of fluvial anomalies viz. compressed meanders, knick point in longitudinal profiles, channel incision, anomalous sinuosity variations, sudden change in river flow direction, river flow against the local gradient and distribution of overbank flooding, lakes, and waterlogged area. Such fluvial anomalies have been identified on the repetitive satellite images and maps and interpreted through DEM and field observations to understand the nature of vertical movements in the area. The sub-surface faults in the Baghmati plains cut across the river channel and also run parallel which have allowed us to observe the effects of longitudinal and lateral tilting manifested in avulsions and morphological changes.     

100hPa环流变化与川渝地区旱涝异常分析

应用ＳＶＤ技术,诊断分析了北半球１００ｈＰａ高度场与川渝地区夏季降水的关系。结果表明：高度场与降水场具有密切的时空相关性,第一模态反映了两场间的主要耦合特征;南亚高压活动地区前期１０～１２月、１～４月高度场变化,通过影响未来夏季南亚高压强度、位置,导致川渝地区夏季旱涝异常。高度场与降水场的这种非同步联系,物理意义明确,时空相关显著,是一种有价值的预测川渝地区夏季旱涝异常的强信号。     

金塔绿洲风场与温湿场特征的数值模拟

使用美国NCAR新版MM5V3.6非静力平衡模式,采用三重嵌套的降尺度方法,模拟研究了甘肃河西走廊金塔绿洲风场与温湿场特征。结果表明:由于绿洲的存在,绿洲沙漠系统产生的次级环流对局地环流有一定影响;平流作用将沙漠中的干热空气送向绿洲,绿洲近地层会出现逆温,感热向地表输送;沙漠上由于临近绿洲的水汽平流作用,上层大气湿度比低层更大,这就是逆湿现象。     

Automatic Determination of Stellar Atmospheric Parameters Using Neural Networks and Instance-Based Machine Learning

In this article we show how machine learning methods can beeffectively applied to the problem of automatically predictingstellar atmospheric parameters from spectral information, a veryimportant problem in stellar astronomy. We apply feedforwardneural networks, Kohonen's self-organizing maps andlocally-weighted regression to predict the stellar atmosphericparameters effective temperature, surface gravity and metallicityfrom spectral indices. Our experimental results show that thethree methods are capable of predicting the parameters with verygood accuracy. Locally weighted regression gives slightly betterresults than the other methods using the original dataset asinput, while self-organizing maps outperform the other methods when significant amounts of noise are added. We also implemented a heterogeneous ensemble of predictors, combining the results given by the three algorithms. This ensemble yields better results than any of the three algorithms alone, using both the original and the noisy data.     

2-D or 3-D interpretation of conductivity anomalies: example of the Rhine-Graben conductivity anomaly

Summary. Evidence of a conductivity anomaly in the Rhine-Graben was first given about 15 years ago and consequently led to the definition of various models of induction in the region for periods ranging from a few minutes to a few hours. These models reflect two antagonistic ways of explaining the observed anomalous variations of the magnetic field: direct induction in a two-dimensional (2-D) structure or static distortion of telluric currents by the resistive crystalline Vosges (France) and Schwarzwalde (Germany) massifs. We discuss the two approaches using a simple formalism. In particular, we show that the self-induction related to the anomalous currents flowing in the Rhine-Graben is negligible for periods larger than 1000 s, and that, even though the static distortion of telluric currents does account for the observed anomaly, 2-D models can explain some of its features. We also show how the channelled currents are induced in the large sedimentary basins surrounding the area under study.
An experimental verification of this result is given.     

黄河三角洲滨海地区植物生长季大气氮沉降动态

利用SCJ-302型降水降尘自动采样器在植物生长季对黄河三角洲滨海湿地的大气氮沉降进行监测,对沉降物中水溶性离子、干、湿沉降氮输入量、铵态氮和硝态氮在总沉降量中的贡献率及月变化动态等分析表明：黄河三角洲植物生长季,大气干、湿沉降中SO₄^2-和NO₃^-占阴离子总量的92%以上,和Na⁺和Ca²⁺占阳离子总量的80%以上,总N沉降量约为2 264.24 mg/m²,且69%集中在降雨量较丰沛的6-8月。其中干沉降氮贡献率约为32.02%,主要集中在春季。N的湿沉降量与降雨量呈显著正线性相关（R²=0.82）,在降雨量丰沛的8月,达到最大值675.64 mg/m²。该地区大气干沉降的氮素形态以硝态氮为主,约占氮素输入量的57.21%,湿沉降中以铵态氮为主,约占氮素输入量的56.51%。植物生长季中,大气沉降中的硝态氮与铵态氮含量对表层10 cm土壤的月平均贡献率分别为约31.38%和20.50%,可见大气氮沉降是黄河三角洲滨海区域土壤主要氮素来源之一。     

塔克拉玛干沙漠腹地大气气溶胶散射特征研究

利用沙漠腹地塔中气象站积分浊度计的2004年观测资料,结合同期PM10质量浓度、能见度和常规气象资料,分析了塔克拉玛干沙漠腹地气溶胶散射系数的变化特征,以及气溶胶散射系数与PM10质量浓度、能见度的关系。研究表明,2004年塔中气溶胶散射系数、PM10质量浓度、能见度日平均值分别为124.74±187.30 Mm-1,538.9±841.7 μg·m-3,12 748±7 274 m。塔中气溶胶散射系数小时平均值出现频率最高的区间主要在100 Mm-1以下,中午气溶胶散射系数小,早晚气溶胶散射系数大;冬春两季的凌晨空气中含有较多的粒子,气溶胶散射系数较大;气溶胶散射系数小时平均值与PM10质量浓度变化规律基本一致,2004年1—6月的气溶胶质量散射系数平均值为0.37 m2·g-1;散射系数与能见度日平均值非线性相关较好,两者呈负幂函数关系。     

新发展格局下粤港澳大湾区高科技产业多尺度空间联系与政策启示

中国区域发展和产业布局正迈向“以内循环为主体、内外循环相互促进”的新发展格局,而城市群肩负着内循环增长极、辐射源和双循环战略支点的双重使命。现有研究对核心城市群高科技产业带动内循环的空间格局及其政策启示的关注尚显薄弱。论文以改革开放以来深度融入外循环的粤港澳大湾区为例,刻画并对比其战略性支柱产业(电子信息、汽车、家电)和战略性新兴产业(生物科技、智能机器人、新材料)在区域内部和外部(带动粤东西北、泛珠三角、全国)的多尺度空间联系,总结推进以内循环为主体构建新发展格局的政策启示。研究发现：(1)粤港澳大湾区高科技产业多尺度空间联系以经济发达地区之间为主,区域内形成以广深港科技创新走廊为主轴向周边辐射,国内形成以粤港澳大湾区、长三角、京津冀和成渝4大国家级城市群为菱形结构顶点、中西部省会城市为重要节点的空间格局;(2)战略性支柱产业相比战略性新兴产业形成了更加稳固的菱形结构顶点支撑和城市区域化溢出及区域间联动进程,辐射带动的地理范围更广,在粤港澳大湾区内外的产业功能分工也更加完善;(3)建议以菱形结构作为内循环的基础空间架构,构建城市、区域、国家多尺度空间相互联动、经济发达地区和欠发达地区...     

Modeling of circulation and salinity in Hooghly estuary

The circulation and salinity distribution in the Hooghly Estuary have been studied by developing a two‐dimensional depth‐averaged numerical model for the lower estuary, where the flow is vertically well mixed. This has been coupled with a one‐dimensional model for the upper estuary, where the flow is assumed to be unidirectional and well mixed over the depth and breadth. The Hooghly River receives high freshwater discharge during the monsoon season (June to September), which has significant effect on the salinity distribution in the estuary. The model‐simulated currents, elevations, and salinities are in good agreement with observations during the dry season. However, during the wet season the computed salinities seem to deviate slightly from the observed values.