基于能量理论的煤岩体破坏电磁辐射规律研究

为了给电磁辐射预测矿井冲击地压灾害提供理论依据,采用电磁波和损伤力学理论初步分析了电磁辐射能和加载机械能的关系;采用试验和能量理论研究了单轴压缩条件下煤体变形破坏产生电磁辐射能与受载煤体能量积聚、耗散的耦合关系。研究结果表明：加载机械能与煤体变形破坏产生的电磁辐射能成系数为m正线性关系,m与煤体的弹性模量成0.107 4的比例关系;受载煤体峰值弹性应变能与电磁辐射能成正对数关系,煤体的弹性能指数与峰值累积电磁辐射能、总累积电磁辐射能均成正线性关系,电磁辐射信号反映了能量聚集和耗散的状态,表征了煤体冲击破坏的难易程度。因此,电磁辐射能够预测矿井冲击地压灾害的发生。     

青藏高原水文模拟的现状及未来

介绍了青藏高原水文模拟的研究现状和发展趋势。水文模拟是研究水文过程的主要手段,可为流域水资源管理及防灾减灾提供理论和决策支持。国际上第一代水文模型为"集总式",第二代水文模型为"分布式",但它们大都以描述降水—产流的水分输移为主("水圈"),未仔细考虑陆—气水热交换中植被的调节作用("生物圈—大气圈")。近10年来,在气候变化的背景下,随着大气科学以及生态学的蓬勃发展,分布式水文模型开始描述生物圈—大气圈相互作用;通过改进陆—气间的水热交换过程以及植被的生理过程,实现了对流域水圈—生物圈—大气圈的综合模拟。然而,针对显著受冰冻圈过程影响的青藏高原,需要深入研究冰冻圈与其他圈层(水圈/生物圈/大气圈)的相互作用机理,并实现其在水文模拟中的参数化,以提升区域水资源和水灾害的预测能力。     

能量色散X射线荧光光谱法测定卤水中痕量溴铷砷

用模拟卤水建立了能量色散X射线荧光光谱法测定卤水中溴、铷、砷痕量元素含量的方法.实验表明,方法可以直接取样测定,适用于大批量样品的测试分析.方法的精密度RSD(n＝15)小于1%,加标回收率为86.8%～101.6%.卤水中溴、铷、砷的测定结果与比色法、原子吸收和原子荧光法结果相符.     

太原冬季采暖期气温变化特征与节能效应分析

采用太原市1951～2003年冬季采暖期逐日气温资料,应用气候方法分析了采暖期平均气温以及与能耗相关的采暖初日、终日、采暖度日等要素的变化特征.结果表明:采暖期气温存在明显升高趋势.而且在20世纪80年代末发生跃变;采暖初日在逐年推后,采暖终日的年代际变化振荡较大,90年代以来有明显提前趋势,采暖期在逐年缩短;采暖度日存在明显减少趋势.结合供暖指标,分别从平均气温升高、采暖期缩短及采暖度日减少等方面进行节能效应分析,指出有必要改变传统的采暖模式.城市采暖具有很大的节能潜力.     

风电场风速降尺度预报方法对比分析

使用中尺度数值天气预报业务模式9 km和3 km分辨率的模式输出产品,分别应用小尺度模式CALMET模式和双线性插值(BLI)方法将预报风速进行降尺度处理,并对比预报风速和风塔观测资料。结果表明：WRF模式9 km分辨率的模式输出经过CALMET模式降尺度以后得到的风速预报效果比3 km分辨率的模式输出略好。同时,由于中尺度数值预报模式分辨率本身较高,使用BLI也可以得到较好的风速预报。将风速分为0 m·s^-1≤风速<5 m·s^-1,5 m·s^-1≤风速<10 m·s^-1和风速≥10 m·s^-1共3个等级,检验3个风速等级的预报偏差百分比得出,CALMET模式和BLI方法对10 m·s^-1以上的大风的预报效果相对较差;如何对大风预报进行订正对风速预报准确率的提高具有重要的意义。     

青岛地区边界层结构的数值模拟

本文建立了一个非静力的三维细网格边界层模式，对青岛地区复杂下垫面条件下的边界层结构和湍流特征作了数值模拟，模式采用能量闭合方案，舍弃了静力近似，以提高空间分辨率和模式精度。模拟以实测资料为初始输入，对该地区风场和湍流场作了较细致的模拟分析，与观测资料相比，结果合理地一致。结果表明了陡峭地形和不规则海岸线对局地风场和湍流场影响很大。     

1998年南海、孟加拉湾夏季风期间动能收支特征

该文采用1998年加密观测资料经同化处理后得到的客观分析格点资料, 对南海地区和孟加拉湾地区的动能收支进行了诊断分析和对比, 得出: B区夏季风爆发, 其850 hPa区域平均总动能表现为爆发性增长, C区则表现为一个逐步增长的过程.越赤道气流通过南边界的动能输送对B区夏季风建立贡献很大, 西边界动能输入对C区夏季风建立也起了十分显著的作用.季风盛行期, B区夏季风动能的发展维持主要是动能水平通量散度的贡献, 其中西边界动能的流入贡献最大, 孟加拉湾夏季风的变化主要为印度季风影响所致; C区夏季风动能主要是依靠其区域内动能制造来维持.对于850 hPa层, B区主要通过斜压过程制造动能, 正压过程破坏更多的动能, C区主要是正压过程制造动能.两区对流层高层都为动能主要流出区, 而对流层低层, B区为动能流入区, C区为动能流出区.     

SIMULATION OF BOUNDARY LAYER EFFECTS ON A HEAVY RAINFALL EVENT CAUSED BY A MESOSCALE CONVECTIVE SYSTEM OVER THE YELLOW RIVER MIDSTREAM AREA

A heavy rainfall event caused by a mesoscale convective system (MCS), which occurred over the Yellow River midstream area during 7–9 July 2016, was analyzed using observational, high-resolution satellite, NCEP/NCAR reanalysis, and numerical simulation data. This heavy rainfall event was caused by one mesoscale convective complex (MCC) and five MCSs successively. The MCC rainstorm occurred when southwesterly winds strengthened into a jet. The MCS rainstorms occurred when low-level wind fields weakened, but their easterly components in the lower and boundary layers increased continuously. Numerical analysis revealed that there were obvious differences between the MCC and MCS rainstorms, including their three-dimensional airflow structure, disturbances in wind fields and vapor distributions, and characteristics of energy conversion and propagation. Formation of the MCC was related to southerly conveyed water vapor and energy to the north, with obvious water vapor exchange between the free atmosphere and the boundary layer. Continuous regeneration and development of the MCSs mainly relied on maintenance of an upward extension of a positive water vapor disturbance. The MCC rainstorm was triggered by large range of convergent ascending motion caused by a southerly jet, and easterly disturbance within the boundary layer. While a southerly fluctuation and easterly disturbance in the boundary layer were important triggers of the MCS rainstorms. Maintenance and development of the MCC and MCSs were linked to secondary circulation, resulting from convergence of Ekman non-equilibrium flow in the boundary layer. Both intensity and motion of the convergence centers in MCC and MCS cases were different. Clearly, sub-synoptic scale systems in the middle troposphere played a leading role in determining precipitation distribution during this event. Although mesoscale systems triggered by the sub-synoptic scale system induced the heavy rainfall, small-scale disturbances within the boundary layer determined its intensity and location.     

2008年“7.02”滇中大暴雨的成因诊断与数值模拟

利用常规观测、NCEP 1°×1°再分析资料、云图、多普勒雷达回波和WRF模式对2008年7月2日滇中大暴雨进行成因诊断和数值模拟。结果表明:对流层高层的干侵入和中低层冷、暖平流交汇诱发副热带高压和滇缅高压间辐合低涡迅猛发展成强中尺度对流辐合体,加上中低层来自孟加拉湾的丰富水汽输送和中低层强水汽辐合共同引发此次大暴雨。过程中,垂直螺旋度贡献主要在中层;干位涡呈现出对流层顶强正高位涡,300 hPa以下为次正高位涡,两者之间为负区的柱状分布特征,次正高位涡强中心有向下层延伸特征。WRF较好地模拟了整个大暴雨过程中强降水主体时段和大暴雨落区特点,最大对流有效位能变化趋势对强降水有较好预示作用,模拟方案在积分30小时内效果较好。     

Estimation of turbulent sensible heat and momentum fluxes over a heterogeneous urban area using a large aperture scintillometer

The accurate determination of surface-layer turbulent fluxes over urban areas is critical to understanding urban boundary layer (UBL) evolution. In this study, a remote-sensing technique using a large aperture scintillometer (LAS) was investigated to estimate surface-layer turbulent fluxes over a highly heterogeneous urban area. The LAS system, with an optical path length of 2.1 km, was deployed in an urban area characterized by a complicated land-use mix (residential houses, water body, bare ground, etc.). The turbulent sensible heat (Q H) and momentum fluxes (τ) were estimated from the scintillation measurements obtained from the LAS system during the cold season. Three-dimensional LAS footprint modeling was introduced to identify the source areas ("footprint") of the estimated turbulent fluxes. The analysis results showed that the LAS-derived turbulent fluxes for the highly heterogeneous urban area revealed reasonable temporal variation during daytime on clear days, in comparison to the land-surface process-resolving numerical modeling. A series of sensitivity tests indicated that the overall uncertainty in the LAS-derived daytime Q H was within 20%-30% in terms of the influence of input parameters and the non-dimensional similarity function for the temperature structure function parameter, while the estimation errors in τ were less sensitive to the factors of influence, except aerodynamic roughness length. The 3D LAS footprint modeling characterized the source areas of the LAS-derived turbulent fluxes in the heterogeneous urban area, revealing that the representative spatial scales of the LAS system deployed with the 2.1 km optical path distance ranged from 0.2 to 2 km2 (a "micro-α scale"), depending on local meteorological conditions.