Characteristics of nutrients in the Jiulong River and its impact on Xiamen Water, China

Water samples were collected at 20 sites on 4 occasions in 2009(twice in May,and once in both August and November) along the Jiulong River,South China to examine how nutrient inputs from the Jiulong River could affect the nutrient status of the Xiamen Water.Samples were analyzed for nitrite(NO2-N),nitrate(NO3-N),ammonium(NH4-N),phosphate(PO4-P),silicate(SiO3-Si),salinity,and temperature,to determine the nutrient and trophic status of the river.The results indicate that nutrients are derived mainly from river runoff.NO3-N was the main form of DIN in most parts of the river.In addition,NO3-N,DIN,and SiO3-Si behave conservatively.There is a surplus of DIN and SiO3-Si in the river,and PO4-P is a limitation on phytoplankton growth.The concentration of DIN is typically above 0.60 mg/dm3,and higher than 1.00 mg/dm3in most parts of the river.The concentration of PO4-P is typically above 0.02 mg/dm3,while the concentration of SiO3-Si is higher than 1.00 mg/dm3.Between 2003 and 2008,samples were collected 3 times per year(May,August and November) at 27 sites in the Xiamen Water and analyzed for NO2-N,NO3-N,NH4-N,PO4-P,salinity,and temperature.We discovered that the Jiulong River was the key source of DIN into the Xiamen Water,but not PO4-P,indicating the reason of the N/P molar ratio imbalance in the Xiamen Water.In the future,the effects of high DIN concentrations on the phytoplankton communities and marine ecosystems of the Xiamen Water shall be studied.     

Nutrient and eutrophication characteristics of the Dongshan Bay,South China

We recorded NO 3-N, NO 2-N, NH 4-N, PO 4-P, SiO 3-Si, salinity, and temperature data at 10 stations in the Dongshan Bay in May, June, July, August, October, and November 2008, analyzing nutrient and eutrophication characteristics. The mean concentration of dissolved inorganic nitrogen(DIN) was 0.30–0.40 mg/dm 3; generally, NO 3-N was the main form in most areas. The mean concentrations of PO 4-P and SiO 3-Si were 0.040–0.060 mg/dm 3 and 1.00–1.50 mg/dm 3, respectively. We proved that the majority of the SiO 3-Si in the Dongshan Bay came from the Zhangjiang River, with some coming from the Bachimen Strait. DIN originated from both the Zhangjiang River and the Bachimen Strait. Most PO 4-P originated from the Bachimen Strait, and some came from the Zhangjiang River. We found that P was an overall limiting factor to the phytoplankton community in most of the Dongshan Bay, and that Si and N were in surplus. However, near the Bachimen Strait Si became a limiting factor, especially for diatoms, while P and N were in comparative surplus. We used a potential eutrophication assessment method to analyze eutrophication, and showed that the most serious eutrophication occurred near the Zhangjiang River estuary and near the Bachimen Strait. In 2008, DIN levels were four times higher than that in 1988; PO 4-P levels were threefold higher, while SiO 3-Si was approximately double. Dissolved nutrients increased between 1988 and 2008. DIN increased at the greatest rate comparing to PO 4-P and SiO 3-Si, thus the N/P and N/Si mol ratios increased. Further studies on the effects of high DIN concentrations on the phytoplankton communities and marine ecosystems of the Dongshan Bay are needed.     

The application of elastic impedance inversion in reservoir prediction at the Jinan area of Tarim Oilfield

The Triassic reservoir in the Jinan area of Tarim Oilfield consists largely of interbedded sand and shale. Because of the large overlap between sandstone and shale impedance, it is difficult to distinguish sandstone from shale by acoustic impedance alone. Compared to acoustic impedance, elastic impedance contains more lithologic and physical information of the reservoir. Based on meticulous well-tie calibration, elastic impedance data volumes for 10°, 20°, and 30° emergence angles are obtained using pre-stack elastic impedance inversion. A non-linear statistical relationship between elastic impedance and shale content is set up by a PNN neural network. The non-linear mapping relationship is used to predict the reservoir shale content from elastic impedance, which will depict and predict the reservoir oil-bearing sands.     

1998年南极中山站海洋气溶胶的化学组成及其来源判别

从1998年3月7日至1999年3月2日历时12个月,在南极中山站连续采集52个海洋气溶胶样品,提供全部样品的13种化学元素铜、铅、锌、镉、铁、铝、锰、铬、钒、钾、钠、钙、镁含量的实测值.研究表明中山站气溶胶化学成分的含量具有季节性变化的特征.通过富集因子、相关分析、因子分析等方法判别中山站气溶胶化学成分的来源.     

面向对象的高分辨率遥感影像建筑物轮廓提取研究

探讨一种一般城区场景高密度建筑物的提取方法。利用"自上而下"的多尺度分割、分类方法,首先大尺度分割提取包含建筑物的区域,然后小尺度分割提取建筑物的轮廓。利用太原地区Pleiades卫星影像进行试验验证,对分类结果进行精度评价。试验结果表明,这种方法分类精度理想,适合于一般城区场景高密度建筑物信息提取,与只针对特殊城区场景建筑物的提取方法相比,具有更好的适用性。     

厦门海域营养盐含量和比率变化及其对浮游植物群落的影响

于2010年8月和10月对厦门海域营养盐和浮游植物等开展了两个航次的调查,目的在于研究该海域营养盐含量和比率变化及其对水采浮游植物群落的影响.各化学和生物要素的采集、保存和分析按照《海洋调查规范》或《海洋监测规范》的相关方法进行.研究结果表明,厦门海域浮游植物生长的营养盐限制性因子与1998年的研究结果比较,依然为PO4-P,而SiO3-Si含量和DIN含量相对充足.各项营养盐含量与盐度都有较明显的负相关性,其中保守性最明显的是DIN,而PO4-P与盐度的相关性相对最低.此外,8月份鉴定到的甲藻门种类和生物量明显高于10月份.本文认为,目前厦门海域营养盐比率变化的主要压力为N/P摩尔比率失衡.随着人为输入氮源的增加,在富氮的九龙江口及其邻近海域,极易发生中肋骨条藻赤潮,该藻的生物量与NO3-N和SiO3-Si含量的相关性十分明显.研究发现,厦门甲藻/硅藻生物量的比值与NO3-N和N/P摩尔比率有一定的正相关性,可能预示着该海域无机氮含量的增加及其引起的N/P摩尔比率增大会促进甲藻门种类的生长.并且浮游植物Shannon生物多样性指数可作为反映厦门海域富营养化较好的生物指标.     

建立稳定的法规制度全面鼓励外商投资中国矿业

一、虽然近几年我国矿业吸引外商投资得到快速发展,但还远远不够我国实行改革开放26年来,矿业领域也逐步对外开放,实行“利用两种资源,两个市场”的资源政策,矿业领域在“走出去,引进来”方面都取得了长足进展。2001年加入WTO之后,     

台湾海峡西部营养盐变化特征——Ⅳ.水系混合及浮游植物摄取对Si:N:P比值的影响

本文取自福建海岸带及台湾海峡西部硅酸盐、无机氮与磷酸盐的调查数据进行相关分析,结果表明各季ΔSi:ΔN:ΔP比值是比较固定的,现场的Si:N:P浓度比值是变化的,秋、冬季ΔN:ΔP比值接近Redfield比值.并通过各季N:P比值的平面分布,来探讨台湾海峡水系交错混合,浮游植物摄取转移对N:P比值的影响,结果表明沿岸大陆水中N:P比值高,外海水中N:P比值接近Redfield比值;在浮游植物生长繁殖旺盛的局部海区,磷酸盐几乎被消耗殆尽出现N:P比值极大区.在营养盐中磷是浮游植物生长繁殖的限制因素.     

用VB实现在线升级

在VB中利用第三方控件bkDLControl可以实现在线下载,从而完成一些软件的在线升级。