卫星遥感结合地面观测资料对中国西北干旱区地表热力输送系数的估算

本文利用黑河野外试验 (HEIFE) 地面观测资料, 采用空气动力学方法计算了干旱区内不同下垫面的地表热力输送系数CH, 结合由美国国家海洋和大气局 (NOAA) 系列卫星遥感观测的反映地表植被特征的归一化差值植被指数 (NDVI) 资料, 经拟合得到了针对我国西北干旱区不同下垫面的CH-NDVI参数化关系式, 并对此关系式进行了合理性检验。结果表明: 对于区域尺度而言, 在缺乏用其他方法获得较准确的区域CH值的情况下, 利用卫星遥感结合地面观测资料对其估算是较为可靠的方法。     

青藏高原“三江源地区”雨季水汽输送特征

利用40年NCEP/NCAR再分析资料和青藏高原三江源地区的降水资料,分析了三江源地区的水汽输送特征.研究表明:在东亚和印度季风驱动下的西南暖湿气流是三江源地区空中主要水汽来源,其次是来自西边界中东高压中的偏西气流和西风带中的偏北气流,这3种大尺度环流背景的气流汇集到三江源区,使该地区6-9月处在水汽辐合区内,同时在高原大地形的动力作用下,三江源地区近地面层维持定常的切变、低涡等天气系统,源源不断的降水为这一区域形成江河源头创造了条件.在水汽输入的各边界中,南边界季节变化特征显著,冬、春季水汽输入量小,夏、秋季水汽输入量大,9月达到全年的最大值.西边界的水汽输入量季节变化特征不明显,一年四季有水汽输入.北边界冬、春季水汽输入量小,夏、秋季水汽输入量大,6月达到全年的最大值.水汽输出主要在东边界.从三江源地区空中净水汽输入(输出)量收支的月际变化来看,6-9月水汽是收入的,5月收支平衡,10月到次年4月水汽是支出的,三江源地区的这种净水汽输入(输出)量收支的月际变化与该地区降水量的月际变化基本一致.冬、春季以西边界的水汽输入为主,夏、秋季以南边界的水汽输入为主.青藏高原三江源地区主要水汽输入边界的水汽通量近40年来呈现减少的变化趋势,这将影响到三江源地区未来的降水变化.     

Correlation between local structure and molar ratio of Au (III) complexes in aqueous solution: An XAS investigation

The local and geometrical structure around gold (III) e.g., Au³⁺ ions in aqueous solution with different OH⁻/Cl⁻ molar ratios, has been investigated by X-ray absorption spectroscopy (XAS). X-ray absorption near-edge structure (XANES) spectra of [AuCl_n(OH)_4−n]⁻ solutions have been calculated and the multiple-scattering spectral features have been attributed to Cl d-states, axial water molecules and the replacement of Cl⁻ ligands by OH⁻ ligands. A square–planar geometry for [AuCl_n(OH)_4−n]⁻ with two axial water molecules has been identified. Moreover, a spectral correlation between XANES features and the type of planar atoms has been identified. By extended X-ray absorption fine structure spectra (EXAFS), the planar Au bond distances in the solutions have also been determined, e.g., 2.28 Å for Au–Cl and 1.98 Å for Au–O, respectively. The same EXAFS analysis provides evidence that the peak at about 4.0 Å in solutions with the lowest OH⁻/Cl⁻ molar ratio arises from collinear Cl–Au–Cl multiple-scattering contributions. For the first time, a complete detailed reconstruction of the hydration structure of an Au ion at different pH values has been achieved.     

柴达木盆地西部地区断裂类型及油气勘探意义

为研究柴西地区油气成藏及其与青藏高原隆升的关系,我们借助生长断层定性和定量分析,总结出该区断裂在演化上总体可归纳为两个主要形成时期和4种表现形式：早期形成时期(E1＋2?N),中生代以来开始活动,多数终止于下油砂山组末(约14.9 Ma); 晚期形成时期(N?Q),上油砂山组开始活动,狮子沟组(约8.2 Ma)以来活动尤为剧烈,持续至今。在形式上主要表现为限于下或上构造层的生长断层; 贯穿下、上构造层的生长断层和后期断层4类。柴西地区的这种断裂构造特征,与青藏高原的分阶段隆升相对应,控制着该区的油气运移、成藏、保存及改造,对我们在柴西地区的油气勘探工作具有重大意义。     

甘肃省河西内陆河流量长期变化特征

利用甘肃省河西地区3条主要内陆河石羊河、黑河、疏勒河40余年的流量资料以及河西走廊地区和祁连山区气象资料对河西地区内陆河流量的长期变化特征进行了分析,并对所获结果进行了讨论,得到一些有意义的结论.     

1616-1911年河南省异常洪涝灾害的时空特征及其成因

通过分类和整理1616-1911年河南省洪涝灾害记录,建立了洪涝灾害等级序列。采用Morlet小波变换、DBSCAN空间聚类等方法研究了河南异常洪涝灾害时空分异规律。探讨了洪涝发生对东亚夏季风和太阳活动变化的响应。结果表明：河南省洪涝灾害的发生存在80 a、30 a、20 a、9 a 4个主周期。在不同冷暖时期,北部地区洪涝灾害强度大于南部地区,且气候冷期洪涝强度和发生区域明显大于气候暖期,这除了与降水分布有关外,可能还与水域分布有关。河南南、北部洪涝强度对东亚夏季风强度的响应存在较大的差异,在东亚夏季风强年,季风系统位置偏北,易引起北部地区多洪涝;在东亚夏季风弱年,季风系统位置偏南,易引起南部地区多洪涝。不同时间尺度上二者相关性有显著差异,在100 a及以下时间尺度上,东亚夏季风对河南南部的洪涝影响显著;在200 a时间尺度上,东亚夏季风对河南北部的洪涝影响更显著。洪涝灾害易出现在太阳黑子数极值年及其附近,出现在极大值M年的频率高于极小值m年。河南北部的洪涝在各种不同时间尺度上对太阳黑子周期长度（SCL）的变化均有显著响应,河南南部的洪涝只在100 a尺度上对SCL的变化有显著响应,即当SCL变长（太阳活动减弱）时,有利于河南北部洪涝的少发;反之有利于洪涝的多发。河南省洪涝的变化可能是太阳活动与东亚夏季风共同作用的结果。进一步揭示历史洪涝发生规律及其成因对于正确预估未来旱涝趋势具有重要意义。     

2015年11月浙江省降水异常成因分析

利用NCEP/NCAR大气环流资料、NOAA ERSST.V3b海温资料以及浙江省66个台站1971年以来的降水资料,分析了浙江省11月降水偏多对应的高低层大气环流异常特征以及与热带海温异常的联系,并在此基础上对2015年11月浙江省降水异常偏多的事实进行梳理和个例诊断。结果显示,2015年11月浙江省处于降水偏多的气候背景,同时北半球北极涛动正位相异常偏强、中高纬地区经向环流偏弱,西北太平洋副热带高压强度异常偏强、位置偏西是造成降水异常偏多的主要原因;统计分析表明巴尔喀什湖地区500 hPa高度场和西太平洋副热带高压强度与浙江省11月份降水具有显著相关;厄尔尼诺是导致浙江省11月降水偏多的重要外强迫因子之一,2015年11月Niño3.4指数达历史峰值,是造成浙江省同期降水异常偏多的主要原因。     

A laboratory study of directional spectra with maximum likelihood method-Ⅰ Developing wind wave

measurements by a circular array consisting of 18 wave gauges in a large wave tank, directional spectra of wind-generated waves in deep water are systematically determined by using maximum likelihood method The investigations reveal that the angular spreading of the wave energy is consistent with cos^2s(θ/2) proposed by Longuet-Higgins et al.(1963, Ocean Wave Spectra, 111-136), if the bimodal distributions of wave energy are not taken into account. Bimodality occurring on higher frequency than peak frequency is too rare to affect our whole resalts. Surprisingly, a much broader directional spreading than that of the field, which is interpreted by the strongly nonlinear energy transfer because of the very young waves in laboratory, is found. The parameter s depends on frequency in the same way as observed by Mitsuyasu et al.(1975, Journal of Physical Oceanography, 5, 750-760) and Hasselmann et al.(1980, Journal of Physical Oceanography, 10, 1264-1280) in the field, and the relationship between the four nondimensional parameters s_m, f_o, b₁ and b₂, determining the directional width, and ū₁₀ (corresponding to the inverse of wave age) are given respectively. The observed distributions are found to agree well with the suggestion of Donelan et al.(1985, Philosophical Transaction of Royal Society of London, A315, 509-562) when applied to field waves.     

德州市浅层地温能资源潜力评价

随着我国社会经济的快速发展,对能源的需求大幅增加,供需矛盾越来越突出,煤炭、石油、天然气等常规能源的大量消耗对环境造成的压力也越来越大。浅层地温能是一种可再生的新型环保能源,逐步受到各级政府及社会各界的重视。通过对德州城区浅层地温能赋存条件的分析,利用试验测试数据对浅层地温能热容量进行了计算,并在适宜性分区在基础上,进行了浅层地温能资源潜力评价。结果表明,德州城区120 m深度内浅层地热容量为8.525×10~(13)k J/℃,相当于291万t标准煤。整个德州城区为地下水换热系统不适宜区,而适宜地埋管换热系统。在地埋管换热系统适宜区内,120 m深度范围内考虑土地利用系数,计算得出夏季换热功率为339.18万k W,冬季换热功率为343.22万k W。夏季可制冷面积4.845×10~7m~2,冬季可供暖面积6.240×10~7m~2。     

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.