基于MODIS的祁连山区积雪时空变化特征

利用2000-2003年日资料经8 d合成的500 m分辨率MODIS卫星反演积雪资料和数字高程模型, 借助于GIS空间分析技术, 以积雪频率和积雪盖度为监测指标, 研究分析了祁连山区整体的积雪空间分布状况及其年内变化特征, 地形对积雪的分布和季节变化的影响. 结果表明: 祁连山区的积雪分布极不均匀, 积雪主要沿山系走向成条带状分布, 呈现西段多, 东段次之, 中部和南部少, 山脊多, 山谷少的特征, 且海拔越高、 山势越陡、阴坡积雪的范围越大、持续时间越久. 累积降雪时间, 就全区而言为9月至翌年5月, 但不同高度、坡度和坡向带有所差别. 海拔4 000 m以上区域存在春、秋季两个时段的积雪补给, 而海拔4 000 m以下仅有中秋至中冬一个时段的积雪补给;坡度较平缓的区域冬季和春季为主要积雪补给期, 而坡度较陡的区域则为秋季和春季;平地和南坡积雪补给主要发生在冬季和春季, 而其它坡向为春季和秋季.     

贺兰山西坡不同海拔梯度上土壤氮素矿化作用的研究

采用封顶埋管法对贺兰山西坡不同海拔梯度上土壤铵态氮(NH+4-N)和硝态氮(NO-3-N)以及Ｎ净矿化速率进行了研究。结果表明：①在海拔1 370～2 940 m的范围内,土壤铵态氮和硝态氮含量随海拔高度的降低而降低。②土壤N净矿化速率随海拔高度的降低呈现出明显的“V”字型变化规律,在海拔2 940 m 处最高（平均为0.272 mg·kg-1·d-1）,在海拔2 100 m处最低（平均为0.001 mg·kg-1·d-1）,之后又随海拔高度的降低而上升,在海拔1 370 m处达到0.136 mg·kg-１·d-１的水平。③回归分析显示,土壤矿化氮含量（NH+4-N +NO-3-N）与土壤含水量、全氮、有机质、群落中植物密度、地上生物量呈极显著正相关,与土壤容重、pH值呈极显著负相关。但土壤N净矿化速率与土壤含水量、全氮、有机质、容重、pH值之间却没有相关性。     

热分解法测定水盐体系中硝酸铵和水含量研究

针对复杂硝酸铵水盐体系溶解度的测定,传统分析方法操作步骤繁琐,且试剂较贵,引入一种简单准确的分析方法,即热分解法,对LiNO3-KNO3-NH4NO3-H2O体系和NaNO3-KNO3-NH4NO3-H2O体系中硝酸铵和水的含量进行精确分析。结果表明,热分解温度控制在230～240℃,若控制样品质量为1.5 g,分解时间不低于36 h,能将LiNO3-KNO3-NH4NO3-H2O体系中的硝酸铵和水彻底分解,且随着样品中硝酸铵含量增加,热分解时间也将延长,分析相对误差能控制在0.2%以内。针对复杂NaNO3-KNO3-NH4NO3-H2O体系,热分解温度控制在230～255℃,若控制样品质量为1.5 g,分解时间不少于44 h,且随着样品中硝酸铵含量的增加,相应延长热分解时间,能将复杂NaNO3-KNO3-NH4NO3-H2O体系中的硝酸铵和水彻底分解,分析相对误差能控制在0.2%以内。     

多普勒雷达资料4DVAR同化反演的模拟研究

利用Sun等建立的同化模式和四维变分同化方法对多普勒雷达资料反演大气风场、热力场和微物理场进行了模拟试验研究.反演的基本思路是将4DVAR同化方法应用到三维云模式,定义价值函数表征雷达资料与模式预报结果之间的差别,通过极小化价值函数得到反演场,价值函数相对模式控制变量的梯度由伴随模式求取.试验结果表明,4DVAR同化技术能够从单(双)多普勒雷达资料反演大气三维风场、热力场和微物理场.各个变量反演精度高低与同化过程中变量受约束的大小程度呈正相关.速度场和雨水场反演精度较高,温度场、云水和水汽的反演精度次之,温度场的准确反演需要较长的同化时间.价值函数中加入背景场,哪怕是单点探空给出的平均场信息也有利于提高反演精度.在采用单部多普勒雷达资料进行反演时,速度场的反演误差较大.反演区相对雷达站的位置变化对速度场反演结果有一定的影响,而对其他变量的反演影响很小.两个时次的雷达观测资料基本足够提供反演所需的时间演变信息,同化更多时次的雷达资料,反演效果改进很小.雷达观测资料的缺值会显著降低同化效果,甚至可能导致同化失败,引入背景场可以改善这一状况.4DVAR同化技术对于雷达观测资料误差不太敏感.利用双多普勒雷达合成风场提供水平风场边界条件是比较准确可靠的.在反演主体离边界较远时,VAD风场也基本可用作水平风场边界条件.微物理场的反演对模式中的微物理参数化方案较敏感.     

1954年甘肃山丹7(1/4)级地震史料补遗

在归纳1954年山丹71/4级地震已有地震史料的基础上,根据新获得的朱允明(2006)《山丹地震考察笔记》的详细考察资料,按照《新中国地震烈度表》重新评定了本次地震中各考察点的地震烈度,重新绘制了该地震的等震线图。其中,极震区Ⅸ—Ⅹ度区长轴方向为北西向,呈扁椭圆形,长轴直径约40km;Ⅷ度区南西侧为山丹盆地,第四纪沉积较厚,地震烈度衰减缓慢,因此,Ⅷ度区等震线向南明显突出。1954年山丹71/4级地震极震区位于龙首山北缘断裂西段,大致与该断裂的包代河-黑头山段相吻合,综合分析认为,该段断裂是本次地震的主发震断层,而破喇嘛顶西缘断裂和毛湖洞断裂是重要的参与断裂。     

滨海地区不同质地土壤对垃圾渗滤液中氨氮的吸附作用

为了探讨粉砂、粉质粘土、粉土对垃圾渗滤液中NH4+-N的吸附作用,在室内做了吸附实验,实验结果表明,三种土样吸附NH4+-N的等温吸附曲线均符合Langmuir模式,且最大吸附量分别为粉砂1.3 034 ms/g,粉质粘土1.109 mg/g,粉土0.3 439 mS/S.不同土样吸附NH4+-N的能力差异较大,三种土样的吸附顺序为:粉砂>粉质粘土>粉土;三种土样的迟滞因子分别为粉砂27.939,粉质粘土21.782,粉土18.257,说明粉砂和粉质粘土的防污能力较粉土强.     

东营凹陷南斜坡沙四下亚段—孔店组原油地球化学特征及成因分类

东营凹陷南斜坡沙四下亚段—孔店组为一套紫红色或红色碎屑岩沉积,本身不具备生烃能力,因此对该层段原油成因的研究具有重要意义。在系统分析17个油砂和5个原油样品的生物标志物组合特征的基础上,将该区原油划分为4种成因类型。Ⅰ类原油分布于平方王地区和博兴洼陷,Pr/Ph0.8,Ph/nC180.6,伽马蜡烷含量极低,4-甲基甾烷、重排甾烷含量相对高,Ts/Tm、藿烷/甾烷值相对高,可能来源于一套淡水湖相环境下形成的、富含粘土矿物的泥岩。Ⅱ类原油分布于纯化—乐安构造带、陈官庄构造带,Pr/Ph0.6,Ph/nC182,伽马蜡烷含量高,4-甲基甾烷、重排甾烷含量低,Ts/Tm和藿烷/甾烷值低,可能与一套盐湖相泥岩或灰质泥岩有成因关系。Ⅲ类原油分布于青城北缓坡构造带,检测出25-降藿烷系列,伽马蜡烷含量介于Ⅰ类和Ⅱ类之间,可能为早期充注的Ⅱ类原油遭受生物降解后和晚期充注的Ⅰ类原油形成的混源油,且以晚期充注为主。Ⅳ类原油分布于王家岗地区孔店组,具有C29甾烷绝对优势和高含量的伽马蜡烷,推断为Ⅱ类原油和一种来源于浅湖—沼泽相的原油形成的混源油。     

中国南京与美国德克萨斯稻田甲烷排放的比较

Field measurements of methane emission from rice paddies were made in Nanjing, China and in Texas, USA, respectively. Soil temperature at approximately 10 cm depth of the flooded soils was automatically recorded. Aboveground biomass of rice crop was measured approximately every 10 days in Nanjing and every other week in Texas. Seasonal variation of soil temperature in Nanjing was quite wide with a magnitude of 15.3℃ and that in Texas was narrow with a magnitude of 2.9℃. Analysis of methane emission fluxes against soil temperature and rice biomass production demonstrated that the seasonal course of methane emission in Nanjing was mostly attributed to soil temperature changes, while that in Texas was mainly related to rice biomass production. We concluded that under the permanent flooding condition, the seasonal trend of methane emission would be determined by the soil temperature where there was a wide variation of soil temperature, and the seasonal trend would be mainly determined by rice biomass production if there are no additional organic matter inputs and the variation of soil temperature over the rice growing season is small.     

MICAPS4服务端系统架构设计

MICAPS4体系采用客户端/服务器的系统架构,其中服务端系统是MICAPS4的重要部分,利用分布式存储与分布式计算技术,构建可容纳102 TB量级的气象实时数据,千万数据总量,面向数百并发用户的服务器集群系统。MICAPS4服务端系统在国内率先实现全部气象实时数据由文件到数据库、从集中式系统到分布式系统的迁移,该系统自2015年起在全国推广使用。在海量气象数据和大量用户并发访问的环境下,表现出很高的稳定性和优越的读写性能,同时具有便捷的扩展性和可维护性。MICAPS4服务端系统分为分布式存储系统、分布式前处理系统、站点实况轮询系统、查询服务器系统和监控系统5个子系统,分布式存储子系统为MICAPS4客户端提供了近实时数据的高速随机与顺序读取服务,分布式前处理系统利用对等分布式架构实现了海量气象实时数据的流式计算,站点实况轮询系统实现了跨系统的实况数据异构副本的同步功能,查询服务器系统利用多线程服务器技术实现了MICAPS4客户端的实时计算请求,监控系统利用部署于每个节点的探针实现监控信息的主动上报。     

Origin of Paleofluids in Dabashan Foreland Thrust Belt:Geochemical Evidence of 13C,18O and 87Sr/86Sr in Veins and Host Rocks

In the last ten years, with important discoveries from oil and gas exploration in the Dabashan foreland depression belt in the borderland between Shanxi and Sichuan provinces, the relationship between the formation and evolution of, and hydrocarbon accumulation in, this foreland thrust belt from the viewpoint of basin and oil and gas exploration has been studied. At the same time, there has been little research on the origin of fluids within the belt. Based on geochemical system analysis including Z values denoting salinity and research on δ13C, δ18O and 87Sr/86Sr isotopes in the host rocks and veins, the origin of paleofluids in the foreland thrust belt is considered. There are four principal kinds of paleofluid, including deep mantle-derived, sedimentary, mixed and meteoric. For the deep mantle-derived fluid, the δ13C is generally less than ?5.0‰PDB, δ18O less than -10.0‰PDB, Z value less than 110 and 87Sr/86Sr less than 0.70600; the sedimentary fluid is mainly marine carbonate-derived, with the δ13C generally more than ?2.0‰PDB, δ18O less than ?10.0‰PDB, Z value more than 120 and 87Sr/86Sr ranging from 0.70800 to 0.71000; the mixed fluid consists mainly of marine carbonate fluid (including possibly a little mantle-derived fluid or meteoric water), with the δ13C generally ranging from ?2.0‰ to ?8.0‰PDB, δ18O from ?10.0‰ to ?18.0‰ PDB, Z value from 105 to 120 and 87Sr/86Sr from 0.70800 to 0.71000; the atmospheric fluid consists mainly of meteoric water, with the δ13C generally ranging from 0.0‰ to ?10.0‰PDB, δ18O less than ?8.0‰PDB, Z value less than 110 and 87Sr/86Sr more than 0.71000. The Chengkou fault belt encompasses the most complex origins, including all four types of paleofluid; the Zhenba and Pingba fault belts and stable areas contain a simple paleofluid mainly of sedimentary type; the Jimingsi fault belt contains mainly sedimentary and mixed fluids, both consisting of sedimentary fluid and meteoric water. Jurassic rocks of the foreland depression belt contain mainly meteoric fluid.