半滑舌鳎(Cynoglossus semilaevis)幼鱼生长性状和底色的表型和遗传参数估计

半滑舌鳎是重要的经济鱼类,已经被广泛推广养殖,致力于养殖方面的研究开展了很多工作,但是对半滑舌鳎生长性状进行准确遗传评估的研究还未见报道。为了对生长性状进行准确的遗传参数估计,本次研究以80个半滑舌鳎家系为研究对象,对半滑舌鳎早期生长性状（包括个体全长、体宽和体质量）进行分析。另外还将鱼体底面纯白与否（命名为底面颜色）作为一个性状进行研究。结果表明,四个性状都属于中等遗传力（全长为0.210、体宽为0.259、体质量为0.268、底面颜色为0.362）。三个生长性状之间具有很高的遗传相关性（0.913-0.959）,表明如果三个性状进行间接选择的话,将会取得较好效果。底面颜色性状与三个生长性状均为正遗传相关,相关系数在0.241-0.353之间,由此可知,对底面颜色进行选择时,可以加强生长性状的选择效果。通过家系育种值排序,初步筛选出了生长性状优良遗传背景丰富的16个全同胞家系,将作为亲鱼繁殖后代。本研究为半滑舌鳎优良品种的成功培育提供了重要基础资料。     

定量模拟分析船体与空气枪间的安全距离

海洋地震勘探过程中,水中放置的空气枪与船体之间须保持一定安全距离,否则引起船载设施和仪器剧烈抖动,影响船舶设施和仪器的安全运行,甚至更严重情况下,有可能造成船体的损坏.利用海水压力脉冲与船体受到的冲击压力关系,结合建立的空气枪震源子波模型模拟近场震源子波,可计算出船体与空气枪间的安全距离.研究结果表明,根据震源子波模型模拟的近场子波主峰值,总容量150in3G枪、300 in3相干G枪及760 in3相干G枪的安全距离分别为3.90、6.57 m和9.13 m.由此可知,空气枪与船体间距离只有大于安全距离,才能避免船体大的振动或设备免遭损害,保证海洋地震勘探有效、安全的进行.     

青海大通西山滑坡稳定性分析及防治方案

通过对大通县桥头镇西山滑坡野外勘查,室内综合研究分析,查明大通县桥头镇西山滑坡的范围、规模、发育特征、形成机制、影响因素以及稳定性特征,评价和分析了其稳定性和破坏模式,并为滑坡灾害防治工程可行性研究和施工图设计提供地质资料。同时,对于西北类似滑坡勘查、治理具有一定的借鉴意义。     

Spatial estimation of wind speed: a new integrative model using inverse distance weighting and power law

Spatial interpolation (SI) is currently one of the most common ways to estimate wind speed (Ws). However, classic SI models either ignore the complex geography [e.g. inverse distance weighting (IDW)], or demand high computational resources (e.g. cokriging). This study aimed to develop a simple yet effective SI model for estimating Ws in Eastern Thrace of Turkey. This new method, named MIDW_(Ws), is a modified IDW through the integration of IDW with wind profile model, power law (PL), representing the influence of land cover and topography on Ws. Terrain features and elevation data of PL were obtained using normalized difference vegetation index (NDVI) and digital elevation model (DEM), respectively. Results showed superior and comparable performance of MIDW_(Ws) to standard IDW and ordinary kriging (OK) across all months of year. Compared to ordinary cokriging (OCK) using DEM as covariate, MIDW_(Ws) generated better results in the arid–semiarid seasons (around summer). Local complex atmospheric conditions during rainy seasons (around winter) may have affected the performance of incorporating PL with MIDW_(Ws). Generally, the proposed MIDW_(Ws) is simpler and easier to implement compared to OCK. For landscape-scale projects, its high computational efficiency and relatively robust performance show potential to deal with large volumes of datasets.     

基于混合算法的单配送中心路径优化方法

遗传算法具有较好的全局收敛性,蚁群算法具有较好的正反馈性,结合二者的优点,对混合算法进行了研究。定义了自适应交叉率和变异率,用遗传算法得到的一组最优解初始化蚁群算法初始状态下信息素的浓度,结合2-opt算法对结果进行优化,得到最优的物流车辆配送方案。实验验证了将混合算法运用于单配送中心车辆路径问题的有效性。     

基于重庆CORS网的电离层VTEC插值研究

通过处理重庆CORS网的5个基准站观测数据,获得5个基准站上空电离层垂直总电子含量(VTEC)。利用其中的4个测站上空的VTEC采用克里金插值和反距离加权插值内插出另外一个测站上空VTEC。将插值结果及广义三角级数函数模型计算的电离层VTEC与实测VTEC进行比较,发现克里金插值和反距离加权插值的精度比广义三角级数函数计算的精度更高,更稳定;且克里金插值精度高于反距离加权插值。     

Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments

Abstract

Forest fires are a kind of natural hazard with a high number of occurrences in southern European countries. To avoid major damages and to improve forest fire management, one can use forest fire spread simulators to predict fire behavior. When providing forest fire predictions, there are two main considerations: accuracy and computation time. In the context of natural hazards simulation, it is well known that part of the final forecast error comes from uncertainty in the input data. These data typically consist of a set of GIS files, which should be appropriately conflated. For this reason, several input data calibration methods have been developed by the scientific community. In this work, the Two-Stage calibration methodology, which has been shown to provide good results, is used. This calibration strategy is computationally intensive and time-consuming because it uses a Genetic Algorithm as a solution. Taking into account the aspect of urgency in forest fire spread prediction, it is necessary to maintain a balance between accuracy and the time needed to calibrate the input parameters. In order to take advantage of this technique, one must deal with the problem that some of the obtained solutions are impractical, since they involve simulation times that are too long, preventing the prediction system from being deployed at an operational level. A new method which finds the minimum resolution reduction for such long simulations, keeping accuracy loss to a known interval, is proposed. The proposed improvement is based on a time-aware core allocation policy that enables real-time forest fire spread forecasting. The final prediction system is a cyberinfrastructure, which enables forest fire spread prediction at real time.     

利用偏度平衡自动提取机载LiDAR点云城区道路

针对机载LiDAR点云提取城区道路自动化程度低以及提取道路网不完整的问题,提出一种基于偏度平衡算法自动提取城区道路的方法。首先,计算末次回波点云中邻近点的坡度,依据城市道路设计标准选择坡度阈值,分离非地面点并获得初始道路点云;然后,利用偏度平衡算法计算出最优强度阈值,滤除非道路点,再结合道路与停车场的空间位置关系,通过点距精化初始道路点云;最后,对道路区域进行细化和平滑,得到道路中心线。通过定量分析及对比实验,该方法能够自动地从LiDAR点云中提取出较为完整的道路网。     

一种概率分布的区间数多指标灰色关联模型

针对区间数多指标决策问题中评价值的取值概率问题,提出了基于概率分布的区间数多指标灰色关联模型。该模型将区间数距离映射到概率分布函数上,根据灰色关联分析方法的基本思想,计算决策方案与理想方案之间的关联度,通过关联度对决策方案进行排序。最后给出了两个实例分析,验证了该模型计算结果的正确性与有效性。     

基于最小距离法的面向对象遥感影像分类

主要介绍了集成基于对象的影像分析与最小距离分类方法的原理,采用中卫市World ViewⅡ影像进行土地覆盖分类研究,并将分类结果与传统的基于像元的最小距离分类结果进行对比。目视解译与定量评价均表明:基于对象方法的各项指标更优越,总体精度由0.85提高到0.87,Kappa系数由0.81提高到0.84。因此,对于高分辨率遥感影像,集成最小距离分类器,基于对象的信息提取方法要优于基于像元方法,分类结果精度更高。