鄂尔多斯盆地东缘煤层气控制因素探讨

根据煤层气含量，鄂尔多斯盆地东缘可划分为北部低含气量区，中部高含气量区和南部中含气量区。影响煤层气含 的主要地质因素为煤层埋藏深度，煤的变质程度、地质构造、煤层厚度，顶底板岩性及岩浆活动等。中部高含气量区是最有利的煤层气勘探目标区。     

Water governance and scalar politics across multiple-boundary river basins: states,catchments and regional powers in the Iberian Peninsula

Karezes (qanats), historically vital sources of water for multiple uses in the driest parts of the world, have been deteriorating over the past five decades. This paper provides a review of the global literature on the status and potential of karezes, and offers country case studies for Afghanistan, Iran, Pakistan, and Kingdom of Saudi Arabia. It offers syntheses of key issues, lessons, options and proposed interventions for re-vitalizing the karez systems. The paper identifies criteria for prioritizing karez systems for rehabilitation and outlines key conditions for their effective functioning and sustainability. The paper suggests that the benefits of restoring karez systems to local communities are large and some systems, such as the Ain Zubaida in the Makkah Al-Mukaramah Region, are of global importance.     

青东凹陷油气资源潜力

青东凹陷是济阳坳陷的一个次级的构造单元,位于渤海浅水海域。该凹陷主力油源层埋藏浅,成熟度低,人们对其勘探潜力认识不足。文章对青东凹陷石油基础地质条件进行了综合分析,认为其深洼区烃源岩已经成熟;并提出凹陷构造运动微弱,保存条件较好,以及油气近距离成藏等新认识;经研究认为有利勘探区域为靠近生油中心的各类构造和地层 圈闭。     

莺-琼盆地纵横波速度特征与AVO响应特征的关系研究

在莺-琼盆地,气层表现出了多种多样的AVO特征,有的为"Ⅲ"类,有的为"Ⅳ"类或"Ⅱ"类,有的偏离背景,有的与背景一致,这些复杂多样的AVO特征为应用AVO技术进行流体检测带来了较大的困难.为此,本文对近百口已钻井储层的AVO特征与纵、横波速度特征的关系进行了研究,并对产生这种关系的原因进行了详细分析,结果表明储层的纵...     

Effects of land use and changes in cover on the transformation and transportation of iron:A case study of the Sanjiang Plain,Northeast China

Wetland reclamation has been ongoing in the Sanjiang Plain since the mid-1950s,which has resulted in major changes in wetlands and the agriculture ecosystem in the region that have influenced the iron output to the Sea of Okhotsk and limited the primary productivity in the North Pacific Ocean.This study was conducted to investigate the chemical forms of iron in different aquatic environments(agricultural water including groundwater,paddy water,and canal water;wetland water including marsh water,marsh stream...     

OpenMI-based integrated sediment transport modelling of the river Zenne,Belgium

Recent observations show that the river Zenne (Belgium) remains well below the water quality goals stated by the European Union Water Framework Directive. An interuniversity, multidisciplinary research project was therefore launched to evaluate the effects of wastewater management plans on the ecological functioning of the river. To this end, different water quantity and quality processes had to be considered and modelled, e.g., the hydrology in the river basin, hydraulics in the river and sewers, erosion and sediment transport, faecal bacteria transport and decay. This paper considers the development of an Open Modelling Interface (OpenMI) based integrated model for the purpose of simulating the river's sediment dynamics. We used the Soil and Water Assessment Tool (SWAT) to model water and sediment fluxes from rural areas. The Storm Water Management Model (SWMM) was used to simulate the hydraulics of the river, canal, and sewer systems in urban catchments. New model codes for sediment transport and stream water temperature were developed to complement SWMM. The results show that the integrated sediment transport model reproduced the sediment concentrations in the river Zenne with ‘good’ to ‘satisfactory’ accuracy. We may therefore conclude that the OpenMI has been successfully implemented to integrate water quality models into a hydraulic one. While the OpenMI run-time data communication inflicted calculation time overhead, we found that the overhead was not significant with respect to the total run-time of the integrated model.     

广州市河涌生态系统修复及管理探讨

本文讨论了广州河涌综合治理的现状以及治理过程中存在的主要问题,提出河涌流域内综合整治,后续监控管理,培养全民河涌维护意识并建立良好的互动体系的思路,以更好达到河涌综合治理的效果与目的。     

Natural and human forcing in recent geomorphic change; case studies in the Rio de la Plata basin

An analysis of geomorphic system's response to change in human and natural drivers in some areas within the Río de la Plata basin is presented. The aim is to determine whether an acceleration of geomorphic processes has taken place in recent years and, if so, to what extent it is due to natural (climate) or human (land-use) drivers. Study areas of different size, socio-economic and geomorphic conditions have been selected: the Río de la Plata estuary and three sub-basins within its watershed. Sediment cores were extracted and dated (²¹⁰Pb) to determine sedimentation rates since the end of the 19th century. Rates were compared with time series on rainfall as well as human drivers such as population, GDP, livestock load, crop area, energy consumption or cement consumption, all of them related to human capacity to disturb land surface. Data on river discharge were also gathered. Results obtained indicate that sedimentation rates during the last century have remained essentially constant in a remote Andean basin, whereas they show important increases in the other two, particularly one located by the São Paulo metropolitan area. Rates in the estuary are somewhere in between. It appears that there is an intensification of denudation/sedimentation processes within the basin.Rainfall remained stable or varied very slightly during the period analysed and does not seem to explain increases of sedimentation rates observed. Human drivers, particularly those more directly related to capacity to disturb land surface (GDP, energy or cement consumption) show variations that suggest human forcing is a more likely explanation for the observed change in geomorphic processes. It appears that a marked increase in denudation, of a “technological” nature, is taking place in this basin and leading to an acceleration of sediment supply. This is coherent with similar increases observed in other regions.     

基于机器学习模型的河道水位预测

结合已有机器学习模型——卷积神经网络(CNN)和门控循环单元(GRU)的优点,构建了并联卷积循环神经网络(PCNN-GRU)模型,并将其用于赣江下游外洲站日尺度水位变化的预测。结果显示:相较于目前流行的长短时记忆(LSTM)模型、GRU模型以及卷积循环神经网络(CNN-GRU)模型,PCNN-GRU模型的均方根误差和平均绝对误差分别降低了18.39%、21.11%、15.48%和21.31%、18.64%、14.28%,纳什-萨特克里夫效率系数和准确率分别提高至0.999 2和88.12%,表明所建模型具有良好的预测性能,可用于河道水位预测。