Low‐cost monitoring of snow height and thermal properties with inexpensive temperature sensors

Small, self‐recording temperature sensors were installed at several heights along a metal rod at five locations in a case study catchment. For each sensor, the presence or absence of snow cover was determined on the basis of its insulating effect and the resulting reduction of the diurnal temperature oscillations. Sensor coverage was then converted into a time series of snow height for each location. Additionally, cold content was calculated. Snow height and cold content provide valuable information for spring flood prediction. Good agreement of estimated snow heights with reference measurements was achieved and increased discharge in the study catchment coincided with low cold content of the snow cover. The results of the proposed distributed assessment of snow cover and snow state show great potential for (i) flood warning, (ii) assimilation of snow state data and (iii) modelling snowmelt process. Copyright © 2010 John Wiley & Sons, Ltd.     

Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model

Three methods, Shuffled Complex Evolution (SCE), Simple Genetic Algorithm (SGA) and Micro‐Genetic Algorithm (µGA), are applied in parameter calibration of a grid‐based distributed rainfall–runoff model (GBDM) and compared by their performances. Ten and four historical storm events in the Yan‐Shui Creek catchment, Taiwan, provide the database for model calibration and verification, respectively. The study reveals that the SCE, SGA and µGA have close calibration results, and none of them are superior with respect to all the performance measures, i.e. the errors of time to peak, peak discharge and the total runoff volume, etc. The performances of the GBDM for the verification events are slightly worse than those in the calibration events, but still quite satisfactory. Among the three methods, the SCE seems to be more robust than the other two approaches because of the smallest influence of different initial random number seeds on calibrated model parameters, and has the best performance of verification with a relatively small number of calibration events. Copyright © 2009 John Wiley & Sons, Ltd.     

基于图论算法的单元上布线

Pal等提出一个纯粹的图论算法体系TAH（Track Assignment Heuristic），该算法用理想的或接近理想的轨道数解决了许多非常有名的通道布线的例子，其中有两层VH通道布线模型、三层HVH通道布线模型、多层Vi-Hi和ViHi＋1通道布线模型，这种算法推广应用到了两层和三层的单元上布线中，实验结果表明取得了良好的效果。     

确定全球厘米级精度大地水准面的可能性和方法探讨

阐述确定厘米级精度大地水准面所面临的挑战,评述各种大地水准面的定义,提出一种确定1°×1°厘米级精度全球大地水准面的新思路和新方法:在已知相应厘米级精度全球重力位模型、地形密度分布模型以及平均海面高模型的前提下,利用虚拟压缩恢复法可实现全球1°×1°厘米级精度大地水准面的目标。初步论证实现此目标的可能性和条件,并简要介绍一个模拟实验结果。     

顾及多尺度分割参数的FNEA面向对象分类

首先对分形网络演化（FNEA）算法做了介绍,通过试验对比4种分割方法棋盘分割、四叉树分割、多尺度分割、光谱差异分割的效果。此外,通过eCognition Developer 8.7分析软件对影像进行多尺度分割预处理,从5开始,以5为单位向上递增,共选取12组参数进行分割试验,采用面向对象CART分类器对分割后影像分类。对比分类效果图可知,小尺度分割参数对分类效果能有较好的提升;对比总体精度及Kappa系数可知,小尺度分割参数分类精度优于大尺度分割参数,且当分割参数Scale为10时,分类精度达到最好的级别。     

基于多源多时相遥感数据的秋季菜田监测与分析——以北京市大兴区为例

根据北方蔬菜种植生育期特点,选择7~8月份的高分1号(GF1)融合影像、10月份的16 m宽覆盖的GF1影像以及8月份Rapid Eye融合影像,结合耕地本底数据开展提取秋季菜田信息的技术流程研究,并对2013年和2014年大兴区秋季菜田进行了动态监测,同时结合气象等数据分析其时空分布规律和变化原因。     

Concentrations of railway metal theft and the locations of scrap-metal dealers

Metal theft has become a substantial crime problem in many areas. In response, several countries have introduced legislation to regulate scrap-metal recycling yards. However, at present there is little evidence to support this use of the market reduction approach (MRA) in preventing metal theft. The present study sought to test the underlying assumption of the MRA that the presence of a market for stolen property (in this case provided by scrap yards) drives thefts in a local area. This study tested for a spatial association between the locations of scrap yards and those of metal thefts. The density of industry, local burglary rate and road-accessibility of an area were controlled for. Metal thefts from railway lines in England were shown to be significantly more common in areas with more scrap-metal yards, high road accessibility and high population density. The results support the use of the MRA in relation to metal theft.     

Sectoral targets for developing countries: combining ‘common but differentiated re-sponsibilities’ with ‘meaningful participation’

Although a global cap-and-trade system is seen by many researchers as the most cost-efficient solution to reduce greenhouse gas (GHG) emissions, the governments of developing countries refuse to enter into such a system in the short term. Many scholars and stakeholders, including the European Commission, have thus proposed various types of commitments for developing countries that appear less stringent, such as sectoral approaches. A macroeconomic assessment of such a sectoral approach is provided for developing countries. Two policy scenarios in particular are assessed, in which developed countries continue with Kyoto-type absolute commitments, while developing countries adopt an emissions trading system limited to electricity generation and linked to developed countries' cap-and-trade systems. In the first scenario, CO₂ allowances are auctioned by the government, which distributes its revenues as a lump sum to households. In a second scenario, the auction revenues are used to reduce taxes on, or to give subsidies to, electricity generation. The quantitative analysis, conducted with a hybrid general equilibrium model, shows that such options provide almost as much emissions reduction as a global cap-and-trade system. Moreover, in the second sectoral scenario, GDP losses in developing countries are much lower than with a global cap-and-trade system, as is also the effect on the electricity price.     

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.