海洋环境无线传感器网络监测体系与应用技术研究

针对目前海洋环境监测中急需解决的主要技术问题.对海洋环境无线传感器网络监测的体系结构进行了研究,通过对Crossbow无线传感器网络的拓扑结构和软件架构进行分析与试验.提出其技术优势和有待解决的应 用问题.     

关于现代地理信息加工企业的管理

论述了我国现代地理信息加工企业的形成,分析了目前地理信息加工企业的现状,并结合作者多年的管理经验,就地理信息加工企业如何建立现代管理理念与管理方法进行了系统阐述。     

凸包插值算法的改进与实现

研究了凸包插值算法在n维欧拉空间构造Delaunay三角网的应用,提出了其三角剖分不惟一的重大缺陷,采用了限制区域生长法解决了这一缺陷。     

人工神经网络在云南5月雨量预测中的应用

提出了一个基于３层ＰＢ神经网络的云南５月雨量的短期气候预测模型。由于神经网络本身是一个非线性动态系统,将其应用到短期气候变化预测这一非线性系统中,更能反映出气候系统状态量之间的物理关系和动力行为特性。并用该预测模型对云南５个区域１９９１～１９９８年的５月雨量距平趋势进行了共４０次的预测试验和检验,其预测的距平符号相关准确率可达到７７．５％。     

基于无尺度结构的苏南乡镇公路网分析

从图论视角建立区域尺度乡镇公路网络图,并基于节点度D提出等级节点度D_r及规模节点度D_p。从无尺度结构视角,运用D、D_r、D_p指数及数理统计方法描述苏南乡镇公路网的异质结构,结果表明苏南乡镇公路网D并非无尺度结构,但其D_r和D_p符合无尺度结构。利用SPSS相关分析和GIS空间分析发现D_p与D相关性小,但与D_r相关性高且空间对应明显。乡镇D_p-D_r的互动机制空间显示为"核-带"式区域乡镇发展模式,这种开敞组团格局有利于区域发展与保护双赢,由此建议苏州、无锡和常武地区控制乡镇密集分布,集中合并乡镇,适当限制高级公路发展;南京、镇江及金坛、溧阳地区加强高级公路地"带"乡镇的发展力度。     

Are artificial neural network techniques relevant for the estimation of longitudinal dispersion coefficient in rivers? / Les techniques de réseaux de neurones artificiels sont-elles pertinentes pour estimer le coefficient de dispersion longitudinale en rivières?

Abstract

Abstract Accurate application of the longitudinal dispersion model requires that specially designed experimental studies are performed in the river reach under consideration. Such studies are usually very expensive, so in order to quantify the longitudinal dispersion coefficient, as an alternative approach, various researchers have proposed numerous empirical formulae based on hydraulic and morphometric characteristics. The results are presented of the application of artificial neural networks as a parameter estimation technique. Five different cases were considered with the network trained for different arrangements of input nodes, such as channel depth, channel width, cross-sectionally averaged water velocity, shear velocity and sinuosity index. In the case where the sinuosity index is included as an input node, the results turned out to be better than those presented by other authors.     

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

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.     

Knowledge integration in sustainability governance through science-based actor networks

Understanding how science, technology and innovation can best help to accelerate progress in achieving sustainable development remains a grand challenge for researchers and practitioners. In the context of the global consultation process for preparing a post-2015 Sustainable Development Agenda, various science-based actor networks have emerged, aiming to translate research into political decision-making and to inform transformations towards sustainability. Over the last years, these networks seem to have taken an ever-growing role in structuring the science-policy interface in global sustainability governance. The question arises, however, how they understand and organize ‘scientific knowledge integration’ in sustainability politics.This study offers a structured comparison of twelve global science-based actor networks engaged in the implementation of the Sustainable Development Goals. It shows that these networks use two types of strategies to foster scientific knowledge integration in sustainability governance. A new framework emerges, in which each strategy corresponds to two main approaches of scientific knowledge integration: The entrepreneurial strategy generally seeks to advance advice-oriented and solution-oriented knowledge processes, while assessment-oriented and learning-oriented processes in scientific knowledge integration are mainly promoted through a mediating strategy.     

西藏地热事业的喜悦与隐忧

联合国开发计划署和意大利政府最近准备再度资助西藏地热的二期项目,中国地球物理学界对此表示极大的关注。西藏高原的地热现象早就引起中外科学家的注意,最早的文字记载可以追溯到七世纪中叶,但到本世纪70年代初才提到地热发电利用。中国地球物理学界和地质学界对这一转变作出了巨大贡献。他们坚持认为西藏高原上地幔或下地壳内很可能存在局部熔融,这就为浅部的水热活动提供了深源热背景,并意味当地的地热资源具有巨大的动力开发潜力。西藏羊八井地热电站目前的装机容量已经达到16MWe,其北缘和邻近的羊易乡热田又分别钻探到202.2℃和201.8℃的高温;但是当前的西藏地热事业也存在许多隐忧。作者认为这些问题不解决,西藏地热事业便很难得到快速进展。