A Climatic Sequence Stratigraphic Model in the Terrestrial Lacustrine Basin:A Case Study of Green River Formation,Uinta Basin,USA

In recent years,with the development of terrestrial sequence stratigraphy,more attention has been focused on the study of the terrestrial lacustrine sequence stratigraphic model globally. Different viewpoints are preferred by researchers.Under the guidance of the theory of sequence stratigraphy,the findings of this paper indicate that climate is a major factor controlling the formation of the fourth-order sequence,based upon the study of the sequence stratigraphy in the Green River Formation of the Uinta...     

部分不确定性平差模型的迭代算法

为提高部分不确定性平差模型的解算效率,直接采用迭代算法进行求解。讨论了迭代不收敛时的解算方法。算例表明,该部分不确定性平差模型的迭代算法是可行的,解算效率更高、稳定性更好。     

Forecasts of South China Sea surface temperature anomalies using the Niño indices and dipole mode index as predictors

Based on an empirical orthogonal function (EOF) analysis of the monthly NCEP Optimum Interpolation Sea Surface Temperature (OISST) data in the South China Sea (SCS) after removing the climatological mean and trends of SST, over the period of January 1982 to October 2003, the corresponding TCF correlates best with the Dipole Mode Index (DMI), Niño1+2, Niño3.4, Niño3, and Niño4 indices with time lags of 10, 3, 6, 5, and 6 months, respectively. Thus, a statistical hindcasts in the prediction model are based on a canonical correlation analysis (CCA) model using the above indices as predictors spanning from 1993/1994 to 2003/2004 with a 1–12 month lead time after the canonical variants are calculated, using data from the training periods from January 1982 to December1992. The forecast model is successful and steady when the lead times are 1–12 months. The SCS warm event in 1998 was successfully predicted with lead times from 1–12 months irrespective of the strength or time extent. The prediction ability for SSTA is lower during weak ENSO years, in which other local factors should be also considered as local effects play a relatively important role in these years. We designed the two forecast models: one using both DMI and Niño indices and the other using only Niño indices without DMI, and compared the forecast accuracies of the two cases. The spatial distributions of forecast accuracies show different confidence areas. By turning off the DMI, the forecast accuracy is lower in the coastal areas off the Philippines in the SCS, suggesting some teleconnection may occur with the Indian Ocean in this area. The highest forecast accuracies occur when the forecast interval is five months long without using the DMI, while using both of Niño indices and DMI, the highest accuracies occur when the forecast interval time is eight months, suggesting that the Niño indices dominate the interannual variability of SST anomalies in the SCS. Meanwhile the forecast accuracy is evaluated over an independent test period of more than 11 years (1993/94 to October 2004) by comparing the model performance with a simple prediction strategy involving the persistence of sea surface temperature anomalies over a 1–12 month lead time (the persisted prediction). Predictions based on the CCA model show a significant improvement over the persisted prediction, especially with an increased lead time (longer than 3 months). The forecast model performs steadily and the forecast accuracy, i.e., the correlation coefficients between the observed and predicted SSTA in the SCS are about 0.5 in most middle and southern SCS areas, when the thresholds are greater than the 95% confidence level. For all 1 to 12 month lead time forecasts, the root mean square errors have a standard deviation of about 0.2. The seasonal differences in the prediction performance for the 1–12 month lead time are also examined.     

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渤海、黄海、东海M2潮汐潮流的三维数值模拟

利用建立的一种新的半隐半显三维数值格式,将渤海、黄海、东海作为一个整体,采用球面坐标系下的三维潮波方程组,考虑了引潮力的作用,数值模拟了渤海、黄海、东海的M₂分潮的潮汐与潮流,结果较好地体现了渤海、黄海、东海M₂分潮的特征.通过比较65个验潮站的实测值与计算值,所得计算结果的振幅差平均为6.4cm,相角差为6.1°,计算与实测符合良好.本文给出的问潮图与Fang于1986年给出的实测占数值综合结果基本一致.对选取的47个测流站,比较了各层潮流调和常数Ucosζ、Usinζ、Vcosη、Vsinη的计算值与实测值的偏差,偏差绝对值的平均在2.6～4.9cm/s之间.并比较分析了潮流的垂直结构,所得结果与实测符合较好.首次揭示出回流点的水平位置不随深度变化这一特性.最后给出了M₂分潮的潮能消耗.     

盘锦芦苇湿地土壤微生物初步研究

基于盘锦湿地生态系统野外观测站芦苇群落生长季的定位观测资料,分析了芦苇湿地土壤微生物不同层次上的比率变化。结果表明:在0—10,10—20 cm和20—30 cm的3个层次上及微生物总数中土壤的细菌所占比率最大,而且在3个层次上的比率自上至下逐渐增大;其次是放线菌,且在3个层次上的比率逐渐减少;最少的是真菌,在3个层次上相差不大接近为零,在整个微生物中所占比率为最少的。这是由于盘锦芦苇湿地的土壤偏盐碱性,有利于细菌和放线菌繁殖,抑制了真菌的繁殖;而且季节性积水导致通气状况不良也抑制了真菌的生存。在盘锦芦苇湿地土壤微生物垂直梯度的比率中,细菌垂直梯度变化比较明显,基本上是下面2个层次所占比率比表层大一些;放线菌垂直梯度变化明显,一般表层比率最大,下面2层比率较小;真菌垂直梯度上所占的比率没有明显变化,接近为零。     

盘锦湿地芦苇群落土壤碱解氮及溶解性有机碳季节动态

基于2005年4～10月盘锦湿地芦苇群落土壤不同土层土壤碱解氮及溶解性有机碳的观测资料,分析了盘锦湿地芦苇群落土壤碱解氮与溶解性有机碳(DOC)的季节动态。结果表明:不同土层碱解氮、溶解性有机碳的季节动态并不相同。0～10 cm土层碱解氮与DOC季节动态相似,6月土壤碱解氮与DOC含量均最高,分别为244.86 mg/kg和13.16 mg/L。8月碱解氮含量最低,为139.18 mg/kg;9月DOC含量最低。10～20 cm土层DOC的季节性动态变化与表土具有相似性,峰值均出现在6月,谷值出现在9月;10～20 cm土层碱解氮最低值出现在6月,与0～10 cm土层不同。20～30 cm土层内,4～7月DOC几乎无变化,8月DOC含量最低,9月增加;4～5月碱解氮波动较大,5月降到102 mg/kg,6月增加到151 mg/kg。研究表明,盘锦湿地芦苇群落土壤微生物活性与凋落物分解对DOC及碱解氮的季节动态有很大的影响,同时温度、降水量及冻融也影响着DOC及碱解氮的季节动态。     

盘锦湿地芦苇群落土壤呼吸作用动态及其影响因子分析

采用LI-6400-09土壤呼吸室对盘锦湿地芦苇群落土壤呼吸作用,于2004年7月—2005年12月进行连续野外观测。结果表明:非淹水状态下,湿地芦苇群落土壤呼吸作用具有明显的日变化和季节变化特征;淹水状态下,湿地芦苇群落土壤呼吸作用接近于0。2005年潮汐造成的洪水减少了2/3的土壤呼吸作用。2004年和2005年芦苇群落土壤呼吸作用最大值都出现于洪水退去后。影响湿地芦苇群落土壤呼吸作用空间异质性的主导因子是生物因子,而在同一时间影响湿地芦苇群落土壤呼吸作用的主导因子是温度和水分。     

上党盆地极端气温时空变化特征分析

利用1961年-2009年山西东南部的上党盆地年平均气温、极端最低气温和极端最高气温资料,采用相关系数法和对比分析法,分析其气候特征及其气候变化。结果表明：上党盆地年平均气温、极端最低气温和极端最高气温均呈明显上升趋势。从空间分布上来看,全市年平均气温和极端低温最低值都出现在盆地西北部的海拔最高处沁源,极低值为一30．2℃。全市年平均气温和极端高温最高值都出现在盆地东部的海拔最低处黎城,极高值为40．1℃。极端最低气温与冷空气的活动强度、地理位置及地形有关而与海拔高度无关。极端最高气温与暖气团控制、地形及海拔高度关系密切。年极端最低气温1月出现的最多,占52％;年极端最高气温主要出现在6月、7月,6月占46％,7月占26％;日极端最低气温多出现在4时-7时;日极端最高气温多出现在14时-16时。     

土壤溶解性有机碳测定方法与应用

溶解性有机碳是土壤圈中一种非常活跃的化学物质,它对土壤中化学物质的溶解、吸附、解吸、迁移和毒性等行为均有显著的影响。在现代土壤研究中,出现了与溶解性有机碳相关的众多术语,分析方法也各有不同。从溶解性有机碳、水溶性有机碳、活性有机碳、易氧化碳、微生物量碳、可矿化碳不同术语的角度,概述了这类碳分析意义和测定方法,以期对土壤有机质应用研究起到积极作用。