Progress in Research on Metallogenic Environment of Ferromanganese Crusts

大洋铁锰结壳是继大洋多金属结核之后出现的又一极具潜在经济价值的水下固体矿产(王毅民，1992)，富含Mn、Fe、Cu、Co、Ni和Pt多种金属元素及非金属元素P，Co含量最高可达2.5%，是大陆含Co矿床的数倍到数十倍，铂的平均含量也是上地壳的80倍。据众多科学家的初步估计，仅太平洋西部火山构造隆起带上，铁锰结壳矿床的潜在资源量就达10亿t，其中Co金属含量可达600万～700万t，经济总价值超过1000亿美元(Klinkhammer et al.，1980；Halbach et al.，1984；DeCarlo et al.，1987；何高文等，2001)。这与全球陆地已探明Co资源总量仅为1 500万t相比，数量极为可观，并且结壳的产出水深多小于3000 m， 易于进行系统的、大量的样品采集，开采风险及开采时对环境的影响也较小。因此，近年来，随着世界经济的蓬勃发展和高新技术的开发， 对Mn、Cu、Co、Ni等元素的需求日益增大及由此所导致的陆地上这些资源的迅速枯竭，使人们纷纷将目光转向深海底矿产，加大了对海底铁锰结壳资源的研究力度和深度，其资源的经济地位也相应进一步提高。据专家预测，大洋铁锰结壳很可能会比大洋的金属结核率先实现商业性开采，并成为21世纪新兴的海洋矿产产业(Hein et al.，1998；潘家华等，1995)。 此外，结壳还有净化空气中SO2与NO2的氧化催化剂等用途，并且铁锰结壳成矿环境的研究，还具有较高的科学价值，可使科学家进一步深入了解和认识地内深部物源、海底水-岩反应、金属成矿富集过程及其中的微生物成矿作用乃至古海洋环境演变等问题，而这些问题迄今仍未得到完善解决，是当前地学和海洋学领域的研究热点。这就使铁锰结壳成矿环境的研究显得尤为重要。     

中南部非洲金刚石矿床的成矿地质背景、成矿类型及矿床特征

中南部非洲是世界上金刚石资源最为丰富的地区之一,其金刚石矿床主要产于津巴布韦克拉通和卡普瓦尔克拉通内,主要分为两种类型:①原生金刚石矿床;②次生金刚石矿床,且以原生金刚石矿床的研究程度较高,代表了中南部非洲的研究现状。本文通过总结前人研究资料发现,该地区的金伯利岩分为Ⅰ型和Ⅱ型,其内包体可以分为两种:橄榄岩型和榴辉岩型;金刚石可以分为三类:橄榄岩型、榴辉岩型及两者的过渡类型——二辉岩型。其中,橄榄岩型和部分榴辉岩型金刚石来自于地幔结晶堆晶体,而另一部分榴辉岩型则与板块俯冲的构造—热事件有关。金伯利岩的年龄主要分布于白垩纪、二叠纪、寒武纪及元古宙,而金刚石的年龄主要为元古宙和太古宙,金伯利岩和金刚石为不同时期的产物,金刚石为金伯利岩侵位期间捕获的上地幔物理破碎产物。其中900～1000Ma左右的金刚石为板块构造—热事件的产物,并对早期金刚石进行了改造破坏。次生金刚石矿床为原生矿床风化后的产物,可分为四种类型,构造特征、基岩地质及地貌演化等对该类矿床的分布具有重要的影响作用。     

Scale-dependent regional climate predictability over North America inferred from CMIP3 and CMIP5 ensemble simulations

Through the analysis of ensembles of coupled model simulations and projections collected from CMIP3 and CMIP5, we demonstrate that a fundamental spatial scale limit might exist below which useful additional refinement of climate model predictions and projections may not be possible. That limit varies among climate variables and from region to region. We show that the uncertainty (noise) in surface temperature predictions (represented by the spread among an ensemble of global climate model simulations) generally exceeds the ensemble mean (signal) at horizontal scales below 1000 km throughout North America, implying poor predictability at those scales. More limited skill is shown for the predictability of regional precipitation. The ensemble spread in this case tends to exceed or equal the ensemble mean for scales below 2000 km. These findings highlight the challenges in predicting regionally specific future climate anomalies, especially for hydroclimatic impacts such as drought and wetness.     

A survey of unbalanced flow diagnostics and their application

1.IntroductionImbalanceisdefinedintermsoftowhatextenttheflowdepartsfromabalancedstate.Despitetheapparentcomplexityofatmosphericmotions,thepressure(massfield)andvelocity(momentum)distributioncanberelatedbyrathersimpleapproximateforcebalances(sothatparcelaccelerationscanbeignored).Davisetal.(1996)pointedoutthattheunderlyingassumptionofbalanceddingnosticsisthatthenowevolvesinawayconsistentwiththerestrictionsimplicitwithinthediagnosticframework.ThesimplesttwobalancerelationsaregeostrOPhl'cbalance…     

添加固体碳源对垂直流人工湿地污水处理效果的影响

以垂直流人工湿地小试系统为研究对象,探讨了不同位置(表层、上层、中层和下层)添加固体碳源对系统氮、磷及COD_Cr去除效果的影响.结果表明:湿地下层硝态氮去除率低于中层,最适宜碳源添加位置为垂直流人工湿地中、下层.添加碳源系统中,碳源添加位置为表层的系统COD_Cr去除率最高,各系统出水COD_Cr浓度均低于进水,不引起系统出水中COD_Cr浓度的增加.添加碳源显著提高脱氮除磷效果,碳源添加位置为下层的系统TN去除率最高,碳源添加位置为表层的系统氨氧化作用明显,出水铵态氮浓度最高,各系统对亚硝态氮和硝态氮去除率差异不明显,但对硝态氮都表现出良好的去除效果.碳源添加位置为下层的系统硝化作用最完全,TP去除能力也显著优于其他各系统.添加碳源至垂直流人工湿地下层可以达到同步脱氮除磷的效果.     

Downward transport and modification of tropospheric ozone through moist convection

This study estimated the largely unstudied downward transport and modification of tropospheric ozone associated with tropical moist convection using a coupled meteorology-chemistry model. High-resolution cloud resolving model simulations were conducted for deep moist convection events over West Africa during August 2006 to estimate vertical transport of ozone due to convection. Model simulations realistically reproduced the characteristics of deep convection as revealed by the estimated spatial distribution of temperature, moisture, cloud reflectivity, and vertical profiles of temperature and moisture. Also, results indicated that vertical transport reduced ozone by 50% (50 parts per billion by volume, ppbv) in the upper atmosphere (12–15 km) and enhanced ozone by 39% (10 ppbv) in the lower atmosphere (<2 km). Field observations confirmed model results and indicated that surface ozone levels abruptly increased by 10–30 ppbv in the area impacted by convection due to transport by downdrafts from the upper troposphere. Once in the lower troposphere, the lifetime of ozone decreased due to enhanced dry deposition and chemical sinks. Ozone removal via dry deposition increased by 100% compared to non-convective conditions. The redistribution of tropospheric ozone substantially changed hydroxyl radical formation in the continental tropical boundary layer. Therefore, an important conclusion of this study is that the redistribution of tropospheric ozone, due to deep convection in non-polluted tropical regions, can simultaneously reduce the atmospheric loading of ozone and substantially impact the oxidation capacity of the lower atmosphere via the enhanced formation of hydroxyl radicals.     

Coupling Ensemble Kalman Filter with Four-dimensional Variational Data Assimilation

This study examines the performance of coupling the deterministic four-dimensional variational assimilation system (4DVAR) with an ensemble Kalman filter (EnKF) to produce a superior hybrid approach for data assimilation. The coupled assimilation scheme (E4DVAR) benefits from using the state-dependent uncertainty provided by EnKF while taking advantage of 4DVAR in preventing filter divergence: the 4DVAR analysis produces posterior maximum likelihood solutions through minimization of a cost function about which the ensemble perturbations are transformed, and the resulting ensemble analysis can be propagated forward both for the next assimilation cycle and as a basis for ensemble forecasting. The feasibility and effectiveness of this coupled approach are demonstrated in an idealized model with simulated observations. It is found that the E4DVAR is capable of outperforming both 4DVAR and the EnKF under both perfect- and imperfect-model scenarios. The performance of the coupled scheme is also less sensitive to either the ensemble size or the assimilation window length than those for standard EnKF or 4DVAR implementations.     

Assemblage characteristics of clay minerals and its implications to evolution of eolian dust input to the Parece Vela Basin since 1.95 Ma

To understand the provenance and evolution of eolian input in the last 1.95 Ma in the Parece Vela Basin in the eastern Philippine Sea, the clay mineral assemblage of a gravity core PV090510 from the basin was investigated using paleogeomagnetic dating and X-ray diffraction. The assemblage of the core mainly consisted of smectite （-46%） and illite （-40%）, with some chlorite （-10%） and kaolinite （-4%）. Analysis of the provenance of these minerals suggested that smectite was mainly derived from volcanic rocks of the Mariana Arc, while illite, chlorite, and kaolinite were mainly transported as eolian dust by the East Asian monsoon from central Asia. We used the ratio of （illite＋chlorite＋kaolinite）/smectite as a proxy for Asian eolian input to the Parece Vela Basin since 1.95 Ma. This ratio followed glacial and interglacial cycles and was consistent with the intensity of the East Asian monsoon and aridity of central Asia since 1.95 Ma. The changes of the ratio reflected three different stages of the East Asian monsoon and provenance climate.     

Variational Assimilation of GPS Precipitable Water Vapor and Hourly Rainfall Observations for a Meso-β Scale Heavy Precipitation Event During the 2002 Mei-Yu Season

Recent advances in Global Positioning System (GPS) remote sensing technology allow for a direct estimation of the precipitable water vapor (PWV) from delayed signals transmitted by GPS satellites, which can be assimilated into numerical models with four-dimensional variational (4DVAR) data assimilation. A mesoscale model and its 4DVAR system are used to access the impacts of assimilating GPS-PWV and hourly rainfall observations on the short-range prediction of a heavy rainfall event on 20 June 2002. The heavy precipitation was induced by a sequence of meso-β-scale convective systems (MCS) along the mei-yu front in China.The experiments with GPS-PWV assimilation successfully simulated the evolution of the observed MCS cluster and also eliminated the erroneous rainfall systems found in the experiment without 4DVAR assimilation. Experiments with hourly rainfall assimilation performed similarly both on the prediction of MCS initiation and the elimination of erroneous systems, however the MCS dissipated much sooner than it did in observations. It is found that the assimilation-induced moisture perturbation and mesoscale low-level jet are helpful for the MCS generation and development. It is also discovered that spurious gravity waves may post serious limitations for the current 4DVAR algorithm, which would degrade the assimilation efficiency, especially for rainfall data. Sensitivity experiments with different observations, assimilation windows and observation weightings suggest that assimilating GPS-PWV can be quite effective, even with the assimilation window as short as 1 h. On the other hand, assimilating rainfall observations requires extreme cautions on the selection of observation weightings and the control of spurious gravity waves.