盛夏青藏高原热源与菲律宾海对流活动的联系

通过多源资料诊断分析,本文讨论了盛夏（8月）青藏高原大气热源与菲律宾海对流活动之间的联系及可能的机制。结果表明,与青藏高原热源相联系的环流形势在夏季各月明显不同,因此对夏季青藏高原热源的影响应当分月讨论。在夏季各月中,菲律宾海对流活动与青藏高原热源在8月份的联系最为紧密,二者存在显著的反相关关系。而8月青藏高原热源、菲律宾对流活动、西太平洋副热带高压（简称西太副高）、印度季风低压、南亚高压、西风带槽脊和西北太平洋季风环流存在相互耦合的过程。青藏高原热源与菲律宾海对流活动之间联系的机制为:菲律宾海对流弱（强）年,西太副高偏西（东）偏南（北）,西北太平洋季风环流减弱（加强）,印度季风低压减弱（加强）,西风带南压（北抬）,又加之副高西侧有强（弱）的水汽输入,兼以高层南亚高压加强（减弱）,使得高原南部降水显著增强（减弱）,高原热源整体加强（减弱）,高原热源的加强（减弱）又造成了高原南部到东亚区域低层西南（东北）风异常,又利于西太副高偏西（东）偏南（北）,从而造成菲律宾海对流减弱（加强）。这一机制在高原热源强弱年均有表现,但强年表现得更为显著,并在个例中也有所体现,说明盛夏青藏高原热源异常和菲律宾海对流异常存在显著的相互作用。     

基于青藏高原春季感热异常信号的中国东部夏季降水统计预测模型

使用1980-2014年由青藏高原中东部的地面气象观测台站观测资料计算得到的地表感热通量以及中国东部高分辨率的降水格点资料,在年代际变化和年际变率两个时间尺度上,使用最大协方差分析方法研究了青藏高原春季感热与中国东部夏季6、7和8月降水的关系,基于最大协方差关联因子的时间尺度分解回归分析方法建立了一个降水统计预测模型。青藏高原春季感热的各个关联预报因子与中国东部夏季各月降水的相关分析表明,在年代际成分中,6、7和8月在中国东部绝大部分地区均存在显著相关,方差贡献分别为75.6%、99.9%和79.7%;在年际成分中,相关区域在6月是华南地区、华北沿海地区和江淮流域,7月是华南地区西南部、长江流域、东北地区东南部和黄河中下游地区,8月是东北地区和华南地区西部,方差贡献分别为42.7%、43.4%和32.0%。预测模型的解释方差分析和后报试验检验表明,7月对整个中国东部地区预测效果最好,6月主要在长江以南地区,而8月主要在东北地区和华南地区西部预测效果较好。该预测模型能很好描述青藏高原春季感热与中国东部夏季各月降水的关联性,并对局地降水实现较好的定量预测,具有在短期气候预测业务应用的价值。      

Impacts of the leading modes of tropical Indian Ocean sea surface temperature anomaly on sub-seasonal evolution of the circulation and rainfall over East Asia during boreal spring and summer

The two leading modes of the interannual variability of the tropical Indian Ocean (TIO) sea surface temperature (SST) anomaly are the Indian Ocean basin mode (IOBM) and the Indian Ocean dipole mode (IODM) from March to August. In this paper, the relationship between the TIO SST anomaly and the sub-seasonal evolution of the circulation and rainfall over East Asia during boreal spring and summer is investigated by using correlation analysis and composite analysis based on multi-source observation data from 1979 to 2013, together with numerical simulations from an atmospheric general circulation model. The results indicate that the impacts of the IOBM on the circulation and rainfall over East Asia vary remarkably from spring to summer. The anomalous anticyclone over the tropical Northwest Pacific induced by the warm IOBM is closely linked with the Pacific–Japan or East Asia–Pacific teleconnection pattern, which persists from March to August. In the upper troposphere over East Asia, the warm phase of the IOBM generates a significant anticyclonic response from March to May. In June and July, however, the circulation response is characterized by enhanced subtropical westerly flow. A distinct anomalous cyclone is found in August. Overall, the IOBM can exert significant influence on the western North Pacific subtropical high, the South Asian high, and the East Asian jet, which collectively modulate the precipitation anomaly over East Asia. In contrast, the effects of the IODM on the climate anomaly over East Asia are relatively weak in boreal spring and summer. Therefore, studying the impacts of the TIO SST anomaly on the climate anomaly in East Asia should take full account of the different sub-seasonal response during boreal spring and summer.     

El Ni?o对东亚夏季风和夏季降水季节内变化的影响

基于1979~2012年候平均再分析资料,合成分析了El Ni?o对东亚夏季风和夏季降水季节内变化的影响。结果表明,在El Ni?o衰减年夏季,西太平洋副热带高压(副高)明显偏强,位置偏向西南。副高的这种异常特征随夏季的季节进程有明显变化,初夏异常较弱,盛夏期间异常达到最强。此外,根据东亚夏季风降水呈现阶段式北进的特征,将夏季分为华南前汛期、江淮梅雨期、华北和东北雨期以及华南后汛期来分析东亚夏季风和降水的季节内变化。在上述各个时期,大气对流层低层表现为一致的环流异常型,副高及其以南区域为异常反气旋,其北部为异常气旋。这种异常环流型加强了副高南部偏东风及其北部偏北风,增强了热带水汽输送和高纬度地区冷空气的入侵,二者结合造成主汛期地区降水增加。需要强调的是,上述环流异常型随东亚夏季风逐步向北推移,导致东亚各地区的主汛期降水增加,非主汛期降水减少,降水分布更为集中。     

不同初始扰动对电离层扩展F影响的数值模拟

重力波、中性风场、电场是激发电离层扩展F的主要影响因子,本文基于中低纬电离层扩展F发展的物理模型,通过电场强度、背景风场对扩展F影响作用的分析和经验对比,首先验证了模型的有效性,后借助该模型数值模拟了给定背景环境下三种尺度初始电子密度扰动条件下扩展F的发展情况,同时研究了利用化学物质释放实现一定尺度扰动,进而激发扩展F的过程.结果表明,较强的背景电场、东向风场有利于扩展F的形成和抬升,与经验结论相吻合;电离层从被作用初始扰动到激发扩展F的过程中存在拐点效应,拐点之后扩展F被激发形成并且抬升迅速,同时短波长扰动相对于长波长扰动更有利于扩展F的激发和发展;化学物质H_2O释放通过耗散电子密度,形成了一定尺度扰动并诱发了扩展F的形成,该方法可作为一种人工激发扩展F的探索手段.     

Dispersion features of transmitted channel waves and inversion of coal seam thickness

In-seam seismic survey currently is a hot geophysical exploration technology used for the prediction of coal seam thickness in China. Many studies have investigated the relationship between the group velocity of channel wave at certain frequency and the actual thickness of exposed coal beds. But these results are based on statistics and not universally applicable to predict the thickness of coal seams. In this study, we first theoretically analyzed the relationship between the depth and energy distribution of multi-order Love-type channel waves and found that when the channel wave wavelength is smaller than the thickness of the coal seam, the energy is more concentrated, while when the wavelength is greater than the thickness, the energy reduces linearly. We then utilized the numerical simulation technology to obtain the signal of the simulated Love-type channel wave, analyzed its frequency dispersion, and calculated the theoretical dispersion curves. The results showed that the dispersion characteristics of the channel wave are closely related to the thickness of coal seam, and the shear wave velocity of the coal seam and its surrounding rocks. In addition, we for the first time realized the joint inversion of multi-order Love-type channel waves based on the genetic algorithm and inversely calculated the velocities of shear wave in both coal seam and its surrounding rocks and the thickness of the coal seam. In addition, we found the group velocity dispersion curve of the single-channel transmitted channel wave using the time–frequency analysis and obtained the phase velocity dispersion curve based on the mathematical relationship between the group and phase velocities. Moreover, we employed the phase velocity dispersion curve to complete the inversion of the above method and obtain the predicted coal seam thickness. By comparing the geological sketch of the coal mining face, we found that the predicted coal seam thickness is in good agreement with the actual thickness. Overall, adopting the channel wave inversion method that creatively uses the complete dispersion curve can obtain the shear wave velocities of the coal and its surrounding rocks, and analyzing the depth of the abruptly changed shear wave velocity can accurately obtain the thickness of the coal seam. Therefore, our study proved that this inversion method is feasible to be used in both simulation experiments and actual detection.     

Variation behavior of pore-water pressure in warm frozen soil under load and its relation to deformation

Acta Geotechnica - Containing a considerable amount of unfrozen water, frozen soil may produce excess pore-water pressure under external load, especially at temperatures near the thawing point. The...     

黑龙江省兴凯湖自然保护区生态系统固碳服务功能评价

湿地是自然界中重要的“碳汇”,其碳储量变化对全球气候变化和温室效应有重要的影响.选择地理位置独特的黑龙江兴凯湖自然保护区作为研究区,根据保护区内不同土壤类型采集表层（0～20 cm）土壤样品,利用遥感解译的保护区土地利用图、土壤储碳量和植物固碳量计算公式,核算兴凯湖自然保护区生态系统固碳服务总量,同时借鉴瑞典碳税法和中国造林成本法,估算兴凯湖保护区固碳服务功能价值为4.9亿元.结果显示,兴凯湖自然保护区湿地固碳服务功能高于全国平均水平,且高于同纬度同属东北平原的莫莫格湿地,为保护区今后的保护管理策略提供了有效的参考依据.     

黑龙江省海伦市长发镇土地质量地球化学评价及开发建议

基于海伦市长发镇1：1万土地质量地球化学调查获得的土壤重金属元素和养分元素数据,参照土壤环境质量标准（GB15618—2018）和土地质量地球化学评价规范（DZ/T0295—2016）,采用单指标评价法对研究区土壤养分和土壤环境质量进行评价,并在此基础上,将两者叠加分析,对研究区进行土地质量地球化学综合判定.结果表明：研究区内土壤养分以丰富及较丰富为主,分别占长发镇总面积的37.49%和62.22%,区内缺乏B、Mo;研究区99.94%的土地为无风险（一等）,0.06%的土地为风险可控（二等）,风险可控土地主要受Cd及Hg元素的影响;土地质量地球化学综合评价结果显示,研究区以一等（优质）土地为主,占评价区总面积的99.66%;研究发现长发镇富Se土地资源面积19.25 km²,土壤中Se含量为0.4×10^-6～1.4×10^-6,平均值为0.44×10^-6;长发镇符合绿色食品产地的耕地面积138.44 km²,占调查区耕地面积的99.84%,其中绿色富Se、绿色食品产地分别为18.53 km²和119.91 km².     

黑龙江省兴凯湖平原土壤pH值时空变化特征分析

土壤酸碱度是影响土壤化学和生物学性质的一个重要因素,会对土地生产力产生重要影响.为掌握兴凯湖平原土壤pH值近年来变化状况,采用空间统计方法,基于全国第二次土壤普查及2019年土壤pH值数据,对工作区近30年土壤pH值时空变化特征进行了分析.结果表明：兴凯湖平原土壤pH值总体呈下降趋势,但整体上土壤pH值变幅不大,主要集中在±0.5～±1区间.从土地利用类型上来看,兴凯湖平原耕地区土壤pH值均呈下降趋势,西部的林地区pH值整体保持不变或略有上升.在兴凯湖平原4种主要土壤类型中,除暗棕壤外,其他3类土壤在近30年间pH平均值均呈下降趋势.因此需要对工作区土壤pH值变化的原因进行多因素、定量分析,以进一步明确具体原因.