Evaluation and forecasting of daily groundwater outflow in a small chalky watershed

The purpose of this research is to include expert knowledge as one part of the modelling system and therefore offer the chance to create a productive interaction system between expert, mathematical model (MMO8) and artificial neural networks (ANNs). In the present project, the first objective is to determine some parameters by the MMO8 model, introduced as ANN input parameters to forecast spring outflow. The second objective is first to investigate the effect of temporal information by taking current and past data sets and then to forecast spring outflow. The good results obtained reveal the merit of the ANNs–MMO8 combination, and specifically multilayer perceptron (MLP) models. This methodology, for a network with lower, lag and number hidden layer, consistently produced better performance. Copyright © 2003 John Wiley & Sons, Ltd.     

Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

This paper proposes the application of a conjunction model (neuro‐wavelet) for forecasting monthly lake levels. The neuro‐wavelet (NW) conjunction model is improved combining two methods, discrete wavelet transform and artificial neural networks. The application of the methodology is presented for the Lake Van, which is the biggest lake in Turkey, and Lake Egirdir. The accuracy of the NW model is investigated for 1‐ and 6‐month‐ahead lake level forecasting. The root mean square errors, mean absolute relative errors and determination coefficient statistics are used for evaluating the accuracy of NW models. The results of the proposed models are compared with those of the neural networks. In the 1‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 87–34% and 86–31% for the Van and Egirdir lakes, respectively. In the 6‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 34–48% and 30‐46% for the Van and Egirdir lakes, respectively. The comparison results indicate that the suggested model could significantly increase the short‐ and long‐term forecast accuracy. Copyright © 2009 John Wiley & Sons, Ltd.     

TPS测设道路填挖边线方法探讨

道路建设中,测设填挖线是经常遇到的问题,就此提出了TPS(全站仪)在任意控制点设站、测定辅助点和填挖点的放样方法。该方法的关键之处是,利用曲线要素推算各放样点的坐标,然后在道路施工现场附近选择一视野开阔的控制点安置TPS,一次性放样出全视野内的辅助点和填挖点,并连接填挖点组成填挖边线。为保证各阶削坡的精度,应注意保护各辅助点的平面位置,正确地削出最上阶平台,以控制以下各阶削坡。而以往的放样方法是抬竿法,需要在逐个横断面多次设站,用定向、量距、抬高的方法放样填挖点。这种方法的缺点是:效率低下,作业难度大,累计误差大。显然,用TPS一次设站,放样若干横断面填挖点的方法,提高了施工效率,降低了作业难度,且提高了放样点的精度。     

SOFTWARE REVIEWS

software reviews are in this article BMDP/PC CONCEPTS COMPUTERIZED ATLAS EVALUATION OF ALTERNATE PROPOSALS (EAP) EXTRA: EXPRESS TRANSIT ANALYSIS MATC CAD MOTORS TRANSPORTATION PACKAGE PCMAP: Thematic Mapping Software for the IBM Personal Computer, Version 2.3 PLACE TRANPLAN . US-ATLAS     

Vulnerability,Partnerships and the Pursuit of Survival: Urban Livelihoods and Apprenticeship Contracts in a West African City

This paper analyses local level apprenticeship contracts and networks to highlight informal urban livelihoods within the context of socio-economic vulnerability and wider contemporary changes taking place in Koforidua, Ghana. It does so by specifically examining the complex entanglements of interpersonal relationships that characterize apprenticeship contracts within which home-based entrepreneurs and artisans in Koforidua engage in to sustain both current livelihoods, as well as to shore themselves against socio-economic vulnerability triggered in part by adjustment. As a result of the changing geography of the city, network entanglements, comprising resilient ties and egalitarian relations, have become vital to urban livelihoods in this community. However, apprenticeship contracts and the networks they engender can be a double-edged sword. For instance, demands of reciprocity or support from co-network members, neighbours and family, can be so taxing that some individuals opt out of the network. This tension notwithstanding, this paper contends that apprenticeship contracts and the network spaces they create have created a new social cohesion and community that transcend the traditionally known spaces of social support, i.e. ethnic ties, family ties or even institutional support.     

Automatic seismic wave detection and autoregressive model method

The problem of automatic detection of seismic waves by large telemetered seismic networks such as the Mexican Continental Aperture Seismic Network (RESMAC), is extended here to include determination of seismic first-arrival and S-phase-arrival times. A short general outline of the detection problem background and a small introduction to the autoregressive model (AR) concept are presented. Several automatic detection algorithms were implemented and compared with a newly developed autoregressive algorithm. Careful consideration of the advantages and disadvantages of each method determined that a mixed detection scheme is optimal and suitable for RESMAC. A few examples are shown that illustrate the relative performances of the methods tried here. The proposed detection scheme has the following characteristics: (a) First-arrival detection, based on a simple (average of squared input) characteristic function, and a trigger criterion that uses as a distortion measure the long-average-to-short-average ratio of the characteristic function, checked using a duration criterion; (b) use of two threshold values, one for triggering, and another for beginning the backward search for the phase arrival time; (c) use of the autoregressive model (AR) method, with the Itakura-Saito distortion measure, for S-phase detection, checked using both duration and amplitude criteria; and (d) characterization of the reliability of the determinations for their subsequent use in automatic location programs, alarms, etc. The automatic detection scheme has proved effective.     

Accessibility for High Asia： Comparative Perspectives on Northern Pakistan＇s Traffic Infrastructure and Linkages with Its Neighbours in the Hindukush-Karakoram- Himalaya

Starting with a discussion of development concepts which were applied in practice and which followed the developmentalist paradigm the expansion of traffic infrastructure in colonial and post-colonial periods is presented for the High Asian mountain rim. Selective railways and roads are the major feature of this development, which aimed first on serving the convenience of hill station visitors and followed strategic considerations later on. This bias between regional planning and implementation remains a characteristic feature. At the same time traffic infrastructure without asphalt roads is important for the mountain areas, thus breaking up the strong correlation between development and asphalt roads.     

一种面向道路网3维数据的空间索引方法

根据数据沿道路呈线性分布,道路相互连通的特点,提出连通拓扑和动态分段相结合的混合索引机制,分两步来实现查询过程:第一步通过连通索引来进行粗略查询;第二步根据粗略查询结果,利用动态分段索引完成精确查询。以此建立的道路网及沿线3维数据的空间索引具有很高的查询速度,能确保数据的快速动态装载,可满足道路网3维可视化的要求。最后通过实验对算法进行实现,并在空间效率和时间效率上与R树索引进行了比较。     

北京市城区不同等级道路网对可吸入颗粒物的浓度影响研究

本文就北京市内不同等级道路网对可吸入颗粒物的浓度影响进行了研究,选取大气污染物中可吸入颗粒物PM10(包括PM0.3、PM0.5、PM1.0、PM3.0、PM5.0)为研究对象,采用半自动与目视解译相结合的方法提取北京市城区不同等级道路网,于2008年的采暖期与非采暖期在有代表意义的路面上选择42个采样点,分析对比不同等级路面点的可吸入颗粒物的个数和浓度,运用统计学以及GIS和RS等技术手段,进行不同等级道路网对可吸入颗粒物的浓度影响分析。     

道路工程GPS平面控制网建网方法

以往GPS建立的平面坐标系属法线系统,而选线设计均在垂线和水准面为基准的坐标系统下进行,其数据未做两化改正而直接用于施工放样。为了消除因GPS引入线路勘测而引发的法线系统坐标系与垂线系统坐标系之间的矛盾,本文采用逆向两化改正的方法,从理论上提出了直接用GPS建立垂线和水准面系统下平面坐标系的技术路线,并推导出逆向两化改正及其精度评定公式。