三维地图服务系统的研究与实现

提出并建立一个基于融合地形影像、高程、模型、矢量等数据场景的三维地图服务系统,提供三维基本功能、二三维联动以及数据共享管理等服务。本文主要研究三维地图服务系统的具体划分和实现方式,不仅实现各类三维数据的统一调用,而且更直观、快捷地为三维应用系统提供服务接口,高效地构建三维地理信息服务平台。     

飞机作业监测移动应用系统的设计与实现

设计并实现人工影响天气飞机作业实时监测移动应用系统（TEAM）,对飞机作业实时监测并可视化与共享,以解决飞机作业监测中作业信息采集渠道多样、标准不统一、共享范围小、飞机内外场交流渠道不畅等业务问题。TEAM基于人工影响天气飞机作业实时监测的移动应用平台框架（RMPF-WMA）构建并在移动终端上实现。该框架包括海事卫星、北斗卫星双链路传输、安全加固体系和分层策略,可作为数据和移动终端技术实现的标准化解决方案。TEAM基于HTML5混合开发模式与Ionic/Angular JS开发,提高开发效率和终端运行性能。TEAM实时可视化显示飞机准备情况、轨迹、播撒动态以及飞行简报、通知,提升飞机作业各环节沟通效率和共享覆盖度。全国人工影响天气作业飞机中,TEAM可实时监测并实现信息共享的飞机占总数的80%以上,应用于东北、华北、西北、西南、中部等多个区域日常飞机作业监测和重大应急服务一线指挥。移动应用程序响应迅速,运行稳定,作业监测和可视化效果良好。     

Integration of a Multi-Stage Bulk Materials Acquisition System from the Viewpoint of Dock Operations

Abstract

A multi-stage bulk materials acquisition system is examined from the viewpoint of dock operations. The whole process can be divided into four stages and treated as four subsystems: ships scheduling planning, material yard planning, dock arrangement, and material discharging. Since the structure and the complexity of each subsystem is different, the solution approaches applied are also different with respect to each. To increase operations efficiency and data consistency, an integration of the subsystems by coordinating the operations sequence and data communications for the four subsystems is discussed. The four subsystems are illustrated by using the material docks of China Steel Corporation, and the models developed in this research are also validated. The results indicate that the models developed are capable of deriving solutions better than the existing ones. Although the discussions are confined to China Steel Corporation, the models can be applied to other companies with similar operations.     

甘肃省林草研究和业务进展综述

从历史时期森林变迁,林业与气候、经济林果适宜种植区、草场与气候、卫星遥感技术应用和森林防火服务方面综合了甘肃省关于林草科学研究和业务的进展,可供西北大开发参考。     

基于模型试验的海洋核动力平台定位系统解脱作业关键指标分析

海洋核动力平台定位系统采用软刚臂单点系泊方式,属于多铰连接的单点系泊装置。定位系统在长期海上运营过程中,会面临结构维护、改造、更换等作业,解脱作业的安全性是定位系统乃至核动力平台安全的重要组成。借鉴国内外海洋石油平台解脱作业的成功案例,首先给出了核动力平台定位系统解脱作业的流程,并结合解脱作业故障树的风险传递路径给出关键风险指标;然后基于相似理论搭建了定位系统1∶9缩尺比模型试验平台,真实模拟了定位系统全流程解脱作业,验证了定位系统解脱作业的可行性与有效性;基于实时测量数据分析提升缆绳在限位状态与解脱作业时的张力响应、法兰解脱时系泊腿下部万向节振动响应、系泊刚臂下放姿态等关键指标。研究结果表明物理试验模拟方法可以准确表征解脱作业过程的关键节点,并为量化作业指标、优化作业流程提供数据支持,同时相关试验分析方法可以为其他海洋装备的解脱、安装等提供参考。     

Flow-ecology modelling to inform reservoir releases for riparian restoration and management

Linked hydrologic, hydraulic, and ecological models can facilitate planning and implementing water releases from reservoirs to achieve ecological objectives along rivers. We applied a flow-ecology model, the Ecosystem Functions Model (HEC-EFM), to the Bill Williams River in southwestern USA to estimate areas suitable for recruitment of riparian tree seedlings in the context of managing flow releases from a large dam for riparian restoration. Ecological variables in the model included timing of seed dispersal, tolerable rates of flow recession, and tolerable duration of inundation following germination and early seedling establishment for native Fremont cottonwood and Goodding's willow, and non-native tamarisk. Hydrological variables included peak flow timing, rate of flow recession following the peak, and duration of inundation. A one-dimensional hydraulic model was applied to estimate stage-discharge relationships along ~58 river kilometres. We then used HEC-EFM to apply relationships between seedling ecology and streamflow to link hydrological dynamics with ecological response. We developed and validated HEC-EFM based on an examination of seedling recruitment following an experimental flow release from Alamo Dam in spring 2006. The model predicted the largest area of potential recruitment for cottonwood (280–481 ha), with smaller areas predicted for willow (174–188 ha) and tamarisk (59–60 ha). Correlations between observed and predicted patches with successful seedling recruitment for areas within 40 m of the main channel ranged from 0.66 to 0.94. Finally, we examined arrays of hydrographs to identify which are most conducive to seedling recruitment along the river, given different combinations of peak flow, recession rate, and water volume released. Similar application of this model could be useful for informing reservoir management in the context of riparian restoration along other rivers facing similar challenges.     

The role of hydrologic information in reservoir operation – Learning from historical releases

Closing the gap between theoretical reservoir operation and the real-world implementation remains a challenge in contemporary reservoir operations. Past research has focused on optimization algorithms and establishing optimal policies for reservoir operations. In this study, we attempt to understand operators’ release decisions by investigating historical release data from 79 reservoirs in California and the Great Plains, using a data-mining approach. The 79 reservoirs are classified by hydrological regions, intra-annual seasons, average annual precipitation (climate), ratio of maximum reservoir capacity to average annual inflow (size ratio), hydrologic uncertainty associated with inflows, and reservoirs’ main usage. We use information theory – specifically, mutual information – to measure the quality of inference between a set of classic indicators and observed releases at the monthly and weekly timescales. Several general trends are found to explain which sources of hydrologic information dictate reservoir release decisions under different conditions. Current inflow is the most important indicator during wet seasons, while previous releases are more relevant during dry seasons and in weekly data (as compared with monthly data). Inflow forecasting is the least important indicator in release decision making, but its importance increases linearly with hydrologic uncertainty and decreases logarithmically with reservoir size. No single hydrologic indicator is dominant across all reservoirs in either of the two regions.     

The value of updating ensemble streamflow prediction in reservoir operations

This study proposes a new monthly ensemble streamflow prediction (ESP) forecasting system that can update the ESP in the middle of a month to reflect the meteorological and hydrological variations during that month. The reservoir operating policies derived from a sampling stochastic dynamic programming model using ESP scenarios updated three times a month were applied to the Geum River basin to measure the value of updated ESP for 21 years with 100 initial storage combinations. The results clearly demonstrate that updating the ESP scenario improves the accuracy of the forecasts and consequently their operational benefit. This study also proves that the accuracy of the ESP scenario, particularly when high flows occur, has a considerable effect on the reservoir operations. Copyright © 2010 John Wiley & Sons, Ltd.     

Effect of the form of data on the quality of mine tremors hazard forecasting using neural networks

During hard coal mining operations conducted under conditions of rockburst hazard, one of the most important preventive measures can be the prediction of occurrence time and location of the strong seismic mine tremors of energy E _s ⩾ 10⁴ J. This is a very difficult task and the way it is being currently performed appears to be unsatisfactory. Therefore, attempts have been made to use neural networks, specifically trained for this application. The paper presents an approach for determining an influence of the type and shape of the input data on the efficiency of such a prediction. The considerations are based on a selected example of the seismic activity recorded during longwall mining operations conducted in one of the Polish mines.     

Numerical prediction of gas migration properties in Callovo‐Oxfordian (COx) argillite using morpho‐mathematical operations

The feasibility study of long‐term radioactive waste storage in low‐permeable rocks has been performed by considering various damage and failure scenarios. This study aims at the numerical investigation of gas (mainly produced by corrosion of metallic parts) migration properties through the low‐permeable formation of Callovo‐Oxfordian argillite. Traditional methods, based on macroscopic approaches or homogeneous transport properties, are inappropriate to analyze this issue at the mesoscopic/microscopic scale. In this study, realistic porous space morphologies are constructed through union of excursions of random fields considering different experimental pore size distributions. Afterwards, purely geometric analysis of pore space is conducted by morpho‐mathematical operations for the purpose of the extraction of preferential gas transport pathways and the prediction of the gas entry pressure, the gas breakthrough pressure, and the following imbibition process.