模型预测多次波衰减技术及其在莺歌海地区的应用

莺歌海盆地是中国海域新生代主要含油气盆地之一。盆地内超压沉积现象分布广泛,超温超压现象普遍。由于超温超压现象的存在,导致其多次波与有效波在速度上更接近,衰减难度更大。通过合理利用基于波动理论的多次波建模方法并组合其他方法有效衰减了浅水多次波。莺歌海地区的应用实例证明了该方法的有效性,不仅较好地衰减了多次波,提高资料信噪比,同时提高了地震数据的分辨率,改善了资料的波组特征。     

Risk Management for Petroleum Reservoir Production: A Simulation-Based Study of Prediction

We consider numerical solutions of the Darcy and Buckley–Leverett equations for flow in porous media. These solutions depend on a realization of a random field that describes the reservoir permeability. The main content of this paper is to formulate and analyze a probability model for the numerical coarse grid solution error. We explore the extent to which the coarse grid oil production rate is sufficient to predict future oil production rates. We find that very early oil production data is sufficient to reduce the prediction error in oil production by about 30%, relative to the prior probability prediction.     

山东省县域生态效率测算与时空特征分析

基于多源遥感数据提取投入产出数据,采用考虑非期望产出的超效率EBM模型对2000—2015年山东省县域生态效率进行测度,在此基础上采用核密度估计、空间自相关等方法对山东省县域生态效率的时空特征进行分析。研究表明：①山东省县域生态效率呈现波动式发展趋势;高值区与低值区存在显著空间分化,胶东半岛与济南都市圈构成高值集聚区,鲁西北、鲁西南、鲁南地区形成低值连绵带;②山东省县域生态效率无明显的两极分化现象,处于高值区、低值区的县域生态效率值变化较大,生态效率空间非均衡性逐渐扩大;③山东省县域生态效率存在显著空间正相关,且空间集聚性呈现增强态势;县域生态效率存在空间俱乐部趋同特征。     

Modeling of circulation and salinity in Hooghly estuary

The circulation and salinity distribution in the Hooghly Estuary have been studied by developing a two‐dimensional depth‐averaged numerical model for the lower estuary, where the flow is vertically well mixed. This has been coupled with a one‐dimensional model for the upper estuary, where the flow is assumed to be unidirectional and well mixed over the depth and breadth. The Hooghly River receives high freshwater discharge during the monsoon season (June to September), which has significant effect on the salinity distribution in the estuary. The model‐simulated currents, elevations, and salinities are in good agreement with observations during the dry season. However, during the wet season the computed salinities seem to deviate slightly from the observed values.     

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.     

地磁场能量在地球内部的分布及其长期变化

用国际参考地磁场模型(IGRF)分析了地磁场能量在地球内部的分布及其长期变化.结果表明,从1900年到2005年,地核以外地磁场总能量由6.818×1018J减少到6.594×1018J,减小了3.3%,地表以外地磁场总能量由8.658×101J减小到.63×101J,减小了11.4%.分析地球内部不同圈层地磁场能量的变化表明,地壳(A层)、上地幔(B层)、转换带(C层)、下地幔D′层的地磁场总能量在减小,但是下地幔"层的地磁场总能量却在快速增加.磁能密度随时间的变化更清楚地显示出磁能增加和减小的分界面在r=3840km处.上述结果表明,地核和地表以外地磁场总能量在趋势性减小的同时,也在进行重新分配.进一步分析表明,下地幔D"层磁能快速增长,主要是由高阶磁多极子的增强引起的.在地磁场倒转前,偶极矩减小而多极性相对增强在能量分布上的表现就是磁能向下地幔底部(特别是D"层)集中.     

坡面流与坡面侵蚀动力过程研究的最新进展*

在回顾了坡面流及坡面侵蚀过程研究的简史与现状的基础之上,全面总结了坡面流形成机理及其模式、坡面流水动力学特性、坡面侵蚀动力过程及其侵蚀产沙模型诸方面研究的最新进展,并对坡面流各要素分析及坡面小侵蚀陡坎的形成等进行了一些探讨。最后,提出了坡面流及坡面侵蚀过程研究中存在的主要问题及未来展望。     

1) I. A. H. S. / A. I. H. S.

Abstract

A simple method is used to study the response of runoff in the Sahel to climate change. The statistical characteristics of rainfall are calculated over the western part of the Sahel for the period 1961–1990, using the BADOPLU network. Daily rainfall is simulated using a Markov process with Weibull distribution for rainfall depths. Runoff is modelled using a conceptual SCS model and the curve numbers are calculated for West Africa. Climate change is provided by simulations using the Arpège GCM (Scenario A1B), and a perturbation method is used on the parameters which describe the rainfall. Changes in rainfall are assumed to occur through increases in frequency, not intensity. Using Arpège, runoff is mainly found to increase, in depth and in number of events, by the end of the 21st century. Changes in evaporation and land use are not included in the analysis. The impact of this 21st century potential climate change (rainfall) on the runoff is found to be of the same magnitude as the impact of changes in land use.     

返乡农民工旅游就业认知与意愿的实证研究

运用贵州省马岭河景区周边3个乡镇返乡农民工的调查数据及Logistic回归模型,对农民工旅游就业意愿及其影响因素进行了计量经济分析。研究表明,农民工旅游就业的意愿受到其年龄、文化程度、婚姻状况、务工时间、务工月收入、对当地旅游发展的认同度、对旅游就业的认知以及旅游地相关就业政策的满意度等多种因素的影响。基于实证研究结果,就如何通过正确引导和解决返乡农民工的后续就业问题提出了相应的理论思考和政策建议。     

1960-2009年横断山区潜在蒸发量时空变化(英文)

Based on the meteorological data of 20 stations in the Hengduan Mountains region during 1961-2009, the annual and seasonal variation of potential evapotranspiration was analyzed in combination with the Penman-Monteith model. With the method of Spline interpolation under ArcGIS, the spatial distribution of potential evapotranspiration was presented to research the regional difference, and the correlation analysis was used to discuss the dominant factor affecting the potential evapotranspiration. The results indicated that the an-nual potential evapotranspiration showed a decreasing tendency since the 1960s, especially from the 1980s to 1990s, while it showed an increasing tendency since 2000. Regional potential evapotranspiration showed a rate of -0.17 mm a?1. Potential evapotranspiration in north, middle and south of the Hengduan Mountains exhibited decreasing trends over the studied period, and its regional trend was on the decline from southwest to northeast.