平台钢在海洋环境中腐蚀因子的灰色关联分析     

兰志刚  侯保荣  宋积文  陈胜利  张杰 《海洋科学》2010,34(11):69-71

结合海洋平台实测的pH值、温度、溶解氧、盐度、生物附着等数据,通过灰色关联算法分析了海水腐蚀因子对平台钢腐蚀的影响,并按实际影响大小进行了排序。结果表明海水腐蚀因子对于A537-1钢和SM50B-ZC钢平均腐蚀速率的影响主次顺序不同。对平台钢的腐蚀规律研究及现场应用提供了可参考的依据。  相似文献   

不同预处理方法对南海东沙海域沉积物粒度的影响   总被引：1，自引：0，他引：1  

商和辉  林伟清 《海洋地质与第四纪地质》2010,(1)

通过采用不同方法对东沙沉积物样品进行了预处理,并采用综合法进行了粒度分析,以探讨东沙沉积物中碳酸盐和有机质对其粒度的影响。结果表明,去除有机质后沉积物的平均粒径和63～4μm粒径范围内的组分明显减小,有机质含量变化与平均粒径变化呈明显负相关,说明东沙沉积物中有机质的沉积是伴随细粒悬浮物质和胶体物质沉积下来的,且对细颗粒有明显的絮凝作用;去除碳酸盐后沉积物的平均粒径呈减小趋势,但粒径范围内组分含量的变化不明显,且碳酸盐含量的变化与沉积物粒径变化的关系也不甚密切。  相似文献   

改性粉煤灰性质及其封堵油层大孔道效果     

刘义刚 《海洋地质译丛》2010,(3):47-52

粉煤灰是燃煤火力发电厂的废弃物,由大小不等、结构疏松的非晶质玻璃相球形颗粒组成,其主要化学成分是铝硅酸盐,具有来源广和成本低等特点。在水热条件下,Holler和Wirsching首先利用粉煤灰与碱（NaOH或KOH）作用合成了沸石。针对油田封堵油层孔隙即改善注水井吸水效果的实际需求,在总结和吸取粉煤灰和沸石颗粒封堵油层孔隙矿场施工成功经验和不足基础上,探索了水热条件下粉煤灰部分转化为沸石的配方组成和工艺条件,研究了改性粉煤灰组成和外观结构特征,评价了改性粉煤灰的封堵效果,分析了改性粉煤灰封堵作用机理。研究结果对改善油层孔隙封堵效果、提高油田注水效率具有重要应用价值。  相似文献   

Global ENSO-streamflow teleconnection,streamflow forecasting and interannual variability     

FRANCIS H. S. CHIEW  THOMAS A. McMAHON 《水文科学杂志》2013,58(3):505-522

Abstract

El Niño Southern Oscillation (ENSO) has been linked to climate anomalies throughout the world. This paper presents an overview of global ENSO-streamflow teleconnection and identifies regions where the relationship may be exploited to forecast streamflow several months ahead. The teleconnection is investigated by fitting a first harmonic to 24-month El Niño streamflow composites from 581 catchments worldwide and the potential for forecasting is investigated by calculating the lag correlation between streamflow and two indicators of ENSO. The analyses indicate clear ENSO-streamflow teleconnections in many catchments, some of which are consistent across large geographical regions. Strong and regionally consistent ENSO-streamflow teleconnections are identified in Australia and New Zealand, South and Central America, and weaker signals are identified in some parts of Africa and North America. The results suggest that the ENSO-streamflow relationship and the serial correlation in streamflow can be used to successfully forecast streamflow. The streamflow forecasts can be used to help manage water resources, particularly in systems with high interannual variability in Australia, southern and drier parts of Africa and some areas of North America.  相似文献   

Discrete wavelet‐based trend identification in hydrologic time series     

Yan‐Fang Sang  Zhonggen Wang  Changming Liu 《水文研究》2013,27(14):2021-2031

Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult task in practice due to the confusing concept of trend and disadvantages of methods. In this article, an improved definition of trend was given as follows: ‘a trend is the deterministic component in the analysed data and corresponds to the biggest temporal scale on the condition of giving the concerned temporal scale’. It emphasizes the intrinsic and deterministic properties of trend, can clearly distinguish trend from periodicities and points out the prerequisite of the concerned temporal scale only by giving which the trend has its specific meaning. Correspondingly, the discrete wavelet‐based method for trend identification was improved. Differing from those methods used presently, the improved method is to identify trend by comparing the energy difference between hydrologic data and noise, and it can simultaneously separate periodicities and noise. Furthermore, the improved method can quantitatively estimate the statistical significance of the identified trend by using proper confidence interval. Analyses of both synthetic and observed series indicated the identical power of the improved method as the Mann–Kendall test in assessing the statistical significance of the trend in hydrologic data, and by using the former, the identified trend can adaptively reflect the nonlinear and nonstationary variability of hydrologic data. Besides, the results also showed the influences of three key factors (wavelet choice, decomposition level choice and noise content) on discrete wavelet‐based trend identification; hence, they should be carefully considered in practice. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Assessing uncertainties in a conceptual water balance model using Bayesian methodology / Estimation bayésienne des incertitudes au sein d’une modélisation conceptuelle de bilan hydrologique     

《水文科学杂志》2013,58(1)

Abstract

Abstract The aim of this study was to estimate the uncertainties in the streamflow simulated by a rainfall–runoff model. Two sources of uncertainties in hydrological modelling were considered: the uncertainties in model parameters and those in model structure. The uncertainties were calculated by Bayesian statistics, and the Metropolis-Hastings algorithm was used to simulate the posterior parameter distribution. The parameter uncertainty calculated by the Metropolis-Hastings algorithm was compared to maximum likelihood estimates which assume that both the parameters and model residuals are normally distributed. The study was performed using the model WASMOD on 25 basins in central Sweden. Confidence intervals in the simulated discharge due to the parameter uncertainty and the total uncertainty were calculated. The results indicate that (a) the Metropolis-Hastings algorithm and the maximum likelihood method give almost identical estimates concerning the parameter uncertainty, and (b) the uncertainties in the simulated streamflow due to the parameter uncertainty are less important than uncertainties originating from other sources for this simple model with fewer parameters.  相似文献   

Uncertainty,entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude,entropie, effet d'échelle et propriétés stochastiques hydrologiques. 1. Propriétés distributionnelles marginales des processus hydrologiques et échelle d'état     

《水文科学杂志》2013,58(3)

Abstract

The well-established physical and mathematical principle of maximum entropy (ME), is used to explain the distributional and autocorrelation properties of hydrological processes, including the scaling behaviour both in state and in time. In this context, maximum entropy is interpreted as maximum uncertainty. The conditions used for the maximization of entropy are as simple as possible, i.e. that hydrological processes are non-negative with specified coefficients of variation (CV) and lag one autocorrelation. In this first part of the study, the marginal distributional properties of hydrological variables and the state scaling behaviour are investigated. Application of the ME principle under these very simple conditions results in the truncated normal distribution for small values of CV and in a nonexponential type (Pareto) distribution for high values of CV. In addition, the normal and the exponential distributions appear as limiting cases of these two distributions. Testing of these theoretical results with numerous hydrological data sets on several scales validates the applicability of the ME principle, thus emphasizing the dominance of uncertainty in hydrological processes. Both theoretical and empirical results show that the state scaling is only an approximation for the high return periods, which is merely valid when processes have high variation on small time scales. In other cases the normal distributional behaviour, which does not have state scaling properties, is a more appropriate approximation. Interestingly however, as discussed in the second part of the study, the normal distribution combined with positive autocorrelation of a process, results in time scaling behaviour due to the ME principle.  相似文献   

Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers     

Seyed Ahmad Mirbagheri  Taher Rajaee  Amir Alikhani 《水文科学杂志》2013,58(7):1175-1189

Abstract

The study of sediment load is important for its implications to the environment and water resources engineering. Four models were considered in the study of suspended sediment concentration prediction: artificial neural networks (ANNs), neuro-fuzzy model (NF), conjunction of wavelet analysis and neuro-fuzzy (WNF) model, and the conventional sediment rating curve (SRC) method. Using data from a US Geological Survey gauging station, the suspended sediment concentration predicted by the WNF model was in satisfactory agreement with the measured data. Also the proposed WNF model generated reasonable predictions for the extreme values. The cumulative suspended sediment load estimated by this model was much higher than that predicted by the other models, and is close to the observed data. However, in the current modelling, the ANN, NF and SRC models underestimated sediment load. The WNF model was successful in reproducing the hysteresis phenomenon, but the SRC method was not able to model this behaviour. In general, the results showed that the NF model performed better than the ANN and SRC models.

Citation Mirbagheri, S. A., Nourani, V., Rajaee, T. & Alikhani, A. (2010) Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers. Hydrol. Sci. J. 55(7), 1175–1189.  相似文献   

一种遥感信息服务分类本体构建方法     

詹勤  李德仁  眭海刚  张霞 《武汉大学学报(信息科学版)》2010,(3)

在分析遥感信息服务的领域特征及其概念的事件名词特点的基础上,结合框架语义学理论,提出了基于事件框架提取遥感信息服务概念的语义特征并在此基础上利用形式概念分析构建遥感信息服务分类本体的方法。实验结果表明了此方法的有效性。  相似文献   

基于GIS的海底管线应急系统关键技术   总被引：2，自引：0，他引：2  

张建辉 《地理空间信息》2010,8(4):74-76

根据当前海底管线建设和发展的形势,分析了目前海底管线系统存在的不足,并结合海底管线管理业务的实际,基于二维GIS和三维仿真技术,研究建设二三维一体化的海底管线系统的关键技术,并实现了原型系统。  相似文献