桂林岩溶区大气降水的化学特征分析

2009年1月至2010年12月期间,对处于岩溶区的桂林市降水进行了连续采样测试分析。研究结果表明:(1)桂林市区降水的pH平均值为4.83,降水的电导率平均值为65μS/cm,SO42-、NO3-和Ca2+、NH4+分别是最主要的阴阳离子。(2)桂林市降水各主要离子含量、降雨量和电导率表现出明显的季节差异,其中Ca2+、Mg2+含量在夏、冬季较高,春、秋季较低。(3)降雨量和TDS呈现出良好的负相关关系, SO42-和NO3-以及Ca2+和Mg2+之间则具有较好的正相关关系。(4)2009—2010年与1994—1995年相比,降水中的离子含量增加了1.16倍,降水的pH值有所增高,但仍在酸雨范围之内。在桂林酸雨形成中,降水的NO3-贡献明显增强。(5)通过2012年3月1—6日连续6天的降水监测,发现pH、降雨量和电导率三者呈现出良好的相关性。      

Quantifying the Spatial Characteristics of the Moisture Transport Affecting Precipitation Seasonality and Recycling Variability in Central Asia

Moisture contribution and transport pathways for Central Asia(CA)are quantitatively examined using the Lagrangian water cycle model based on reanalysis and observational data to explain the precipitation seasonality and the moisture transport variation during 1979-2015.Westerly-related(northwesterly and westerly)transport explains 42%of CA precipitation and dominates in southwest CA,where precipitation is greatest in the cold season.Southeast CA,including part of Northwest China,experiences its maximum precipitation in the warm season and is solely dominated by southerly transport,which explains about 48%of CA precipitation.The remaining 10%of CA precipitation is explained by northerly transport,which steadily impacts north CA and causes a maximum in precipitation in the warm season.Most CA areas are exposed to seasonally varying moisture transport,except for southeast and north CA,which are impacted by southerly and northerly transport year-round.In general,the midlatitude westerlies-driven transport and the Indian monsoon-driven southerly-related transport explain most of the spatial differences in precipitation seasonality over CA.Moreover,the contribution ratio of local evaporation in CA to precipitation exhibits significant interdecadal variability and a meridionally oriented tripole of moisture transport anomalies.Since the early 2000s,CA has experienced a decade of anomalously low local moisture contribution,which seems jointly determined by the weakened moisture contribution from midlatitudes(the Atlantic,Europe,and CA itself)and the enhanced contribution from high latitudes(West Siberia and the Arctic)and tropical areas(South Asia and the Indian Ocean).     

Precipitation cycles in the middle and lower reaches of the Yellow River (1736?2000)

Based on the long-term precipitation series with annual time resolution in the middle and lower reaches of the Yellow River and its four sub-regions during 1736?2000 recon-structed from the rainfall and snowfall archives of the Qing Dynasty, the precipitation cycles are analyzed by wavelet analysis and the possible climate forcings, which drive the precipita-tion changes, are explored. The results show that: the precipitation in the middle and lower reaches of the Yellow River has inter-annual and inter-decadal oscillations like 2?4a, quasi-22a and 70?80a. The 2?4a cycle is linked with El Ni?o events, and the precipitation is lower than normal year in the occurrence of the El Ni?o year or the next year; for the quasi-22a and the 70?80a cycles, Wolf Sun Spot Numbers and Pacific Decadal Oscillation (PDO) coincide with the two cycle signals. However, on a 70?80a time scale, the coincidence between solar activity and precipitation is identified before 1830, and strong (weak) solar activity is generally correlated to the dry (wet) periods; after 1830, the solar activity changes to 80?100a quasi-century long oscillation, and the adjusting action to the precipitation is be-coming weaker and weaker; the coincidence between PDO and precipitation is shown in the whole time series. Moreover, in recent 100 years, PDO is becoming a pace-maker of the precipitation on the 70?80a time scale.     

Cluster analysis on summer precipitation field over Qinghai–Tibet Plateau from 1961 to 2004

The summer day-by-day precipitation data of 97 meteorological stations on the Qinghai–Tibet Plateau from 1961 to 2004 were selected to analyze the temporal-spatial dis-tribution through accumulated variance, correlation analysis, regression analysis, empirical orthogonal function, power spectrum function and spatial analysis tools of GIS. The result showed that summer precipitation occupied a relatively high proportion in the area with less annual precipitation on the Plateau and the correlation between summer precipitation and annual precipitation was strong. The altitude of these stations and summer precipitation ten-dency presented stronger positive correlation below 2000 m, with correlation value up to 0.604 (α=0.01). The subtracting tendency values between 1961–1983 and 1984–2004 at five altitude ranges (2000–2500 m, 2500–3000 m, 3500–4000 m, 4000–4500 m and above 4500 m) were above zero and accounted for 71.4% of the total. Using empirical orthogonal function, summer precipitation could be roughly divided into three precipitation pattern fields: the Southeast Plateau Pattern Field, the Northeast Plateau Pattern field and the Three Rivers' Headstream Regions Pattern Field. The former two ones had a reverse value from the north to the south and opposite line was along 35°N. The potential cycles of the three pattern fields were 5.33a, 21.33a and 2.17a respectively, tested by the confidence probability of 90%. The station altitudes and summer precipitation potential cycles presented strong negative corre-lation in the stations above 4500 m, with correlation value of –0.626 (α=0.01). In Three Rivers Headstream Regions summer precipitation cycle decreased as the altitude rose in the sta-tions above 3500 m and increased as the altitude rose in those below 3500 m. The empirical orthogonal function analysis in June precipitation, July precipitation and August precipitation showed that the June precipitation pattern field was similar to the July’s, in which southern Plateau was positive and northern Plateau negative. But positive value area in July precipita-tion pattern field was obviously less than June’s. The August pattern field was totally opposite to June’s and July’s. The positive area in August pattern field jumped from the southern Pla-teau to the northern Plateau.     

基于TRMM数据的鄱阳湖流域降雨时空分布特征及其精度评价

基于1998-2007 年热带测雨卫星(TRMM) 3B42 V6 降雨数据分析鄱阳湖流域降雨时空分布特征, 并利用40个气象站观测日降雨数据对TRMM数据在不同子流域、不同降雨强度及不同季节里的精度进行了对比分析, 弥补了以往只评价整体精度的不足。结果显示:鄱阳湖流域北部地区修水、饶河子流域较易出现暴雨, 导致雷达信号衰减, 使TRMM对大雨强降雨的探测出现较大偏差;流域内降雨以10~50 mm为主, 其雨量占到总雨量的60%;流域降雨在年内1-3 月中旬为干旱少雨期, 3 月下旬-9 月初为湿润多雨期, 9-12 月再次进入干旱少雨期;而空间分布呈东、西部大, 中部小的格局;同时发现, 在赣南山区TRMM降雨较观测雨量低300~400 mm, 这可能受高程和坡度的影响, 使TRMM对山区降雨的探测精度也出现较大偏差。     

1959-2008 年黄土高原地区年内降水集中度和集中期时空变化特征

本文基于黄土高原地区1959-2008 年51 个地面气象台站的逐日降水资料, 计算了降水集中度(PCD)和集中期(PCP), 并结合EOF、趋势分析以及相关分析等方法对我国黄土高原地区年内降水不均匀性特征及其趋势进行了分析。结果表明:①黄土高原地区PCD在0.53~0.75 之间, 自东南向西北逐渐增加, 而PCP变化不大, 主要集中在7 月中旬和下旬;②近50a 黄土高原地区PCD主要以南北反向型分布为主;③从变化趋势来看, PCD增加趋势较明显的区域主要分布在宁夏的同心和山西的五台山等地, PCD减小比较明显的区域主要分布在山西的阳泉以及青海的门源等地区;而PCP整体上呈现提前趋势, 只有青海的门源站附近有小幅推迟趋势;④年降水量与PCD有较好的相关性, 大部分地区都通过了显著水平为0.05 的检验;而年降水量与PCP的相关性并不显著, 通过显著水平0.05 检验的区域仅分布在山西的兴县、陕西的洛川以及宁夏的固原等地。     

青藏高原全新世降水序列的集成重建

青藏高原全新世降水变化对于过去全球变化研究有重要意义。在过去全球变化研究中, 大尺度区域降水序列重建缺乏可行、有效的方法, 本文以青藏高原作为研究区, 构建了分区古降水空间模拟－多区面积加权的集成方法, 重建全新世青藏高原降水序列。本研究以孢粉为环境证据, 选取有空间代表性的10 条由孢粉重建的高原样点降水序列, 获得716 条具有年代的定量降水记录, 建立全新世古降水记录数据集。借助GIS分析, 基于现代高原降水空间分布的地理因子模拟, 并与古降水记录相集成, 定量重建了高原全新世200 年分辨率的降水序列。结果显示:早全新世高原降水迅速增多, 并在9.0 kaBP达到极大值500 mm, 较现代高170 mm;9.0~5.6 kaBP是旺盛的湿润期, 降水总体比现代高出80 mm, 但呈现明显的下降趋势;5.6 kaBP以来降水减少, 降水与现代相当, 但波动幅度较小;集成序列与其他高低分辨率环境记录有很好的可比性, 说明集成序列有很好的代表性和一定的准确性。     

IPCC A1B情景下中国西南地区气候变化的数值模拟

利用ECHAM5/MPI-OM 全球海气耦合模式模拟的当代(1986-2000 年)和IPCC A1B情景下未来(2011-2025 年)2×15a 的模拟输出格点场资料,驱动20 km高水平分辨率区域气候模式RegCM3 进行西南地区气候变化的数值模拟,主要分析未来地面温度和降水的可能变化。结果表明：①通过与32 个地面气象站观测资料和CRU资料对比分析,RegCM3 能够很好的模拟研究区基准时段地面温度和降水的局地分布特征。②A1B情景下未来西南地区年、四季平均温度均明显增加,北部温度变化幅度大于南部。③最高/最低温度一致升高,冬季最高/最低温度变化幅度大于夏季;年、秋冬季降水有所增加,冬季降水增加明显,而春夏季降水略有减少。④研究区未来春夏季温度升高、降水减少的趋势可能导致局部地区高温、干旱等极端天气的可能性增大;同时冬季降水增加,可能加重局部地区洪涝灾害的风险。     

秦岭主峰太白山北麓降水化学特征分析

利用太白山北麓2011年12月-2013年7月共39次降水样品数据资料, 定量分析了该区域降水化学的特征和时间变化规律. 结果表明: 太白山北麓地区降水中, 除常量离子Na⁺、NH₄⁺、K⁺、Mg²⁺、Ca²⁺、F^-、Cl^-、SO₄^2-、NO₃^-外, CO₃^2-、HCO₃^-、PO₄^3-及低分子有机酸也占有相当比例. 研究区降水常量离子浓度的顺序依次为: NH₄⁺ > SO₄^2- > Ca²⁺ > NO₃^- > Na⁺ > Cl^- > Mg²⁺ > K⁺ > F^-, 离子总浓度表现出明显的季节变化: 夏季(轻度污染) < 秋季(中等污染) < 春季(严重污染) < 冬季(极重污染). 利用因子分析法得出太白山北麓地区降水组分主要有三种来源; Na⁺、Cl^-、Mg²⁺、Ca²⁺主要来自地壳源, SO₄^2-、NO₃^-、NH₄⁺主要来自人为源, K⁺和F^-主要由海盐源和人为源共同贡献. 根据Hysplit 后向气流轨迹分析, 得出不同路径气团降水离子组分不同: 受地形等因素影响, 北方路径的气团比南方路径气团离子总浓度较高; 受土壤类型影响, 西北方向气团降水Na⁺、Mg²⁺、Ca²⁺浓度较高; 受人为活动影响, 东北方向SO₄^2-、NO₃^-、NH₄⁺浓度较高.     

猪毛菜在不同降水条件下的水分来源差异研究

通过测定大柴旦与都兰地区猪毛菜木质部水分及其不同潜在水源的稳定性氢氧同位素值,利用多源线性混合模型分析不同水分来源对猪毛菜的贡献率.研究结果表明:大柴旦地区大气降水线为y=7.565x+4.796(R²=0.908),都兰地区大气降水线为y=6.005x-7.856(R²=0.7391),说明两个地区都存在较强的蒸发作用.但是,都兰地区较大柴旦风速大,温度高,雨水蒸发速度快,造成雨水δ¹⁸O偏高,形成比大柴旦地区斜率更小的当地大气降水线.大柴旦和都兰地区的猪毛菜,在两个样地的用水策略上存在显著差异.在降水较少的大柴旦地区,猪毛菜以土壤水为主要水源.在降水较多的都兰地区,则以降水为主要水源.就其对土壤水的使用情况来看,大柴旦的猪毛菜多利用深层土壤水,而都兰地区的猪毛菜却对表层土壤水利用比例较大.两地猪毛菜在生长季的不同时期都存在对利用水源的转换现象.为适应不同地区降水量的变化,猪毛菜根据不同水源调节利用比例.降水格局的改变将导致猪毛菜的水分利用策略发生适应性的变化.