北京地区一次辐射雾的数值模拟

利用非静力中尺度模式MM5V3对2006年11月20日北京地区的一次大雾天气过程进行了数值研究。模拟结果与极轨卫星监测图像以及十二通道微波辐射计观测资料的对比表明,模式对此次雾的模拟是比较成功的,尤其是在雾区的分布位置、雾的高度以及雾的维持时间等方面。针对不同的云物理方案、长波辐射项、短波辐射项以及模式的垂直分辨率进行了4组敏感性实验。结果表明,地面的长波辐射冷却促使辐射雾的形成,而短波辐射的加热是辐射雾消散的主要原因。另外,增加模式的垂直分辨率以及选取更加详细的云微物理方案可以使模式模拟的辐射雾的结果有明显的改善。     

Carbon pools and fluxes in the China Seas and adjacent oceans

The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km~2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr~(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr~(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr~(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr~(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr~(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr~(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr~(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr~(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr~(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr~(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr~(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr~(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr~(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr~(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area.     

Variation in the sediment deposition behind check‐dams under different soil erosion conditions on the Loess Plateau,China

To maintain a reasonable sediment regulation system in the middle reaches of the Yellow River, it is critical to determine the variation in sediment deposition behind check‐dams for different soil erosion conditions. Sediment samples were collected by using a drilling machine in the Fangta watershed of the loess hilly–gully region and the Manhonggou watershed of the weathered sandstone hilly–gully (pisha) region. On the basis of the check‐dam capacity curves, the soil bulk densities and the couplet thickness in these two small watersheds, the sediment yields were deduced at the watershed scale. The annual average sediment deposition rate in the Manhonggou watershed (702.0 mm/(km²·a)) from 1976 to 2009 was much higher than that in the Fangta watershed (171.6 mm/(km²·a)) from 1975 to 2013. The soil particle size distributions in these two small watersheds were generally centred on the silt and sand fractions, which were 42.4% and 50.7% in the Fangta watershed and 60.6% and 32.9% in the Manhonggou watershed, respectively. The annual sediment deposition yield exhibited a decreasing trend; the transition years were 1991 in the Fangta watershed and 1996 in the Manhonggou watershed (P < 0.05). In contrast, the annual average sediment deposition yield was much higher in the Manhonggou watershed (14011.1 t/(km²·a)) than in the Fangta watershed (3149.6 t/(km²·a)). In addition, the rainfalls that induced sediment deposition at the check‐dams were greater than 30 mm in the Fangta watershed and 20 mm in the Manhonggou watershed. The rainfall was not the main reason for the difference in the sediment yield between the two small watersheds. The conversion of farmland to forestland or grassland was the main reason for the decrease in the soil erosion in the Fangta watershed, while the weathered sandstone and bare land were the main factors driving the high sediment yield in the Manhonggou watershed. Knowledge of the sediment deposition process of check‐dams and the variation in the catchment sediment yield under different soil erosion conditions can serve as a basis for the implementation of improved soil erosion and sediment control strategies, particularly in semi‐arid hilly–gully regions. Copyright © 2018 John Wiley & Sons, Ltd.     

钢筋混凝土柱考虑损伤累积的反复荷载-位移关系分析

为能在反复荷载作用下钢筋混凝土柱的荷载-位移关系分析中考虑柱低周疲劳性能,提出了一损伤模型,对柱中纵向受力钢筋和混凝土的损伤状态作评估与记录。将这一记录材料性能信息的损伤指标带入材料各自的恢复力模型以考虑产生损伤后材料的强度和刚度退化。基于多弹簧模型对不同变幅加载路径下及等幅低周疲劳加载下钢筋混凝土柱的空间反应进行了数值计算模拟。与已有试验结果比较表明,所提材料层次上的损伤累积模型以及考虑损伤累积效应的柱构件空间荷载-位移关系分析方法具有一定的精度,为钢筋混凝土柱的抗震性能分析提供了一个辅助工具。     

利用探空资料计算水汽压

利用L波段探空资料的相对湿度值及温度值计算水汽压时,由于探空测量的是相对于水面的相对湿度,只能用相对于水面的饱和水汽压公式来计算,低温时用相对于冰面的饱和水汽压公式计算水汽压可能不正确.对水相和冰相的不同处理所带来的偏差进行了分析和讨论.以CIMO规定的温度-45℃和0℃为界,分别计算了用相对于冰面的饱和水汽压公式和相对于水面的饱和水汽压公式得到的水汽压值,并进行了比较.结果表明,在计算实际水汽压的过程中,用不同的饱和水汽压公式所产生的绝对偏差虽然不大,但相对偏差最大可能达到50％,不容忽视,对确定对流层上部的气候效应可能产生影响.     

GRAPES_GFS全球中期预报系统的研发和业务化

该文回顾了中国气象局全球中期数值天气预报系统GRAPES_GFS的研发历程,重点介绍了近年来在GRAPES_GFS研发过程中的重要进展,概要阐述了这些进展对GRAPES_GFS业务:化的贡献。动力框架方面的改进主要包括位温垂直平流的算法、极区滤波方案、标量平流方案、垂直速度衰减（damping）算法、提高模式分辨率等,改善了模式框架的稳定性、计算精度以及质量守恒性。物理过程方面的改进主要包括RRTMG辐射方案、CoLM陆面过程方案、积云对流、边界层过程、双参数云物理方案,以及物理过程的调用计算等,全面提升了模式物理过程的预报能力。全球三维变分同化方面,研发了模式空间三维变分（3DVar）系统、资料质量控制和偏差订正技术、卫星资料同化方面的相关技术等。同时,对目前GRAPES_GFS2.0的预报能力进行了评估,总体来说,该系统各项预报指标全面超越GRAPES_GFS1.0,与T639相比等压面要素预报在对流层也有明显优势,降水、2 m温度等预报也优势明显。     

东亚春季强冷锋结构及其动力学诊断研究 I. 东亚春季强冷锋结构

本文利用常规探空资料和华东中尺度试验的部分资料，对1983年春季一次快速南下，并在江淮地区产生大范围强对流天气的冷锋进行了三维结构的分析。通过研究发现，这次冷锋过程主要有以下特征: （1） 与冷锋相对应的高空槽前存在一支下沉（DVM）气流；（2）有一强的辐合区出现在对流层中层，锋前上升运动的最大值也出现在对流层中层；（3）比较强的锋生过程主要集中于对流层中下层；（4）存在一支明显的热力直接环流（TDC），即暖湿空气沿冷锋倾斜上升；（5）在冷锋后存在一支较强的下沉气流（DVM），这支DVM对冷锋逆温层（或等温层）的形成可能有重要作用。并将此次东亚春季强冷锋个例与小仓义光（Ogura）等分析的北美春季冷锋（SESAME）个例作了对比，发现此次冷锋个例中，锋区的温度密集区主要在对流层中层，而北美SESAME个例温度密集区主要在对流层低层。这可能是由于东亚高空急流较强，动力强迫而引发锋生所致。     

腾冲新生代火山作用构造—岩浆类型的探讨——一种滞后型的弧火山

腾冲火山群是我国著名的新生代火山群之一。它共分4个喷发期,根据K—Ar同位素地质年龄测定,第一期为2.93Ma,第二期为0.81Ma,第三期为0.31Ma,第四期为0.13Ma。该火山群为典型的钙碱性系列玄武岩—安山岩—英安岩弧火山岩组合。它喷发于晚上新世—晚更新世,但这一时期腾冲地区已为大陆板内环境,它可能与K₂末怒江洋壳俯冲作用有关。因此,腾冲弧火山岩的形成至少在俯冲作用停止以后60Ma,属于一种新的火山作用类型——碰撞后弧火山或滞后型弧火山。     

中国含金矽卡岩矿床的分布和主要地质特征

夕卡岩金矿床主要分布于中国东部，特别是在长江中下游地区，并常和夕卡岩铜（铁或多金属）矿床共生。它们产生的有利构造环境为地台边缘的拗陷和褶皱带以及地台内部的深大断裂附近地区，主要控矿地导炭－二叠纪和三叠纪碳酸盐岩，有关侵入岩为钙－碱性闪长岩，石英阀长岩，石英二长闪长岩，花岗闪长岩，二长花岗岩及共浅成相，大多属燕山期，含金夕卡岩以钙夕卡岩为主，镁夕卡岩次之，在夕卡岩及其邻近的围岩中叠加有较强的退化热液     

砂岩中的凝灰质填隙物分异特征及其对油气储集空间影响--以鄂尔多斯盆地西北部二叠系为例

运用铸体薄片、扫描电镜、能谱分析及溶蚀实验等多种测试手段对鄂尔多斯盆地西北部二叠系砂岩填隙物进行了成份和成岩演化分析,认为砂岩中的填隙物主要为凝灰质填隙物,而不是普通意义上的粘土矿物。在有残余粒间孔隙或裂缝沟通的较开放性水环境里,凝灰质填隙物蚀变程度强,Si、Al、K、Na及Ca等离子因活性不同而发生分异,蚀变为“脏”高岭石及硅质团块等产物;封闭环境下,凝灰质填隙物保存完好,偏光显微镜下显示出似非晶态波状消光,活性强的K、Na元素含量仍然很高。凝灰质填隙物分异过程中,可以产生一定数量的溶蚀孔隙及晶间孔隙,砂岩储集性能得到了明显改善。对声波时差异常带砂岩进行大量的铸体薄片观察,证实了本区砂岩粒间溶蚀孔隙发育,凝灰质填隙物发生了强烈溶蚀。综合分析26口井的资料,发现垂向上凝灰质填隙物溶蚀强度呈箱型展布,箱内“脏”高岭石及溶蚀孔隙发育,箱顶部凝灰质填隙物含量高,保存好,并缺少“脏”高岭石团块出现。