区域大气污染防治管理系统建设需求分析

区域大气污染防治管理系统是生态环境保护信息化工程(《"十二五"国家政务信息化工程建设规划》中规划的国家级信息系统之一)项目建设的重要内容之一.本文对区域大气污染防治管理系统的建设需求进行了分析,系统针对大尺度的区域性大气环境质量问题,紧密结合国务院"大气污染防治行动计划"的目标任务要求,开展数据调度与综合分析等功能的建设,旨在通过数据分析提高重点区域大气环境质量状况与污染成因的评估能力,通过情景模拟与模型运算为区域大气污染治理措施的制定与动态调整提供定量化数据支持.系统的建设与实施将有望成为国家大气污染防治领域跨部门数据共享与交换的基础工程,为区域大气污染防治工作提供有力的信息化技术支撑.     

正态信息扩散法在确定河冰抗压强度概率分布中的应用

将正态信息扩散法应用于小样本条件下河冰抗压强度概率密度函数的确定,建立了小样本条件下河冰抗压强度概率分布,并结合K-S检验法和河冰抗压强度试验数据,分析了该方法的合理性。结果表明,本文方法可以较好解决小样本情况下河冰抗压强度概率分布的确定问题,正态信息扩散分布更加接近河冰抗压强度的真实分布,并优于经典分布的拟合方法。     

大型河谷场地地震动特性研究

采用有限差分方法,通过算例研究了大型河谷场地地震动特性分析中的人工边界的选取方法,对比分析了不同人工边界的选取对数值模拟结果的影响,确定了散射场地震反应分析输入边界的地震动输入方法,认为在进行有限差分动力计算时,模型两侧施加自由场边界的模拟效果要优于两侧施加粘性边界的模拟效果;同时,对FLAC计算软件进行二次开发,对2个地形差异较大的河谷场地,采用线性和非线性摩尔-库仑模型进行了地震反应对比分析,研究了河谷场地地震动幅值和频谱特性随地形变化的规律。模拟数据表明,河谷场地谷底处地震动基本无放大作用,地势凸起处放大作用则较为明显;当考虑土体非线性时,随着地震动强度的增加,放大作用逐渐减小;谱分析结果表明,地势凸起处受高频地震动的影响显著,而地势平坦的谷底则受低频地震动的影响显著。     

基于Web文本的灾害信息挖掘研究进展

Web文本中蕴含着丰富的以自然语言描述的非结构灾害信息和知识。基于Web文本自动提取和构造结构化、综合性灾害信息,是灾害信息领域研究的前沿问题。目前国内外利用Web文本挖掘技术在灾时与灾后的应急响应与救援,灾害的早期预警和风险分析方面进行示范应用;同时在文本灾害信息的语义理解与抽取、文本灾害信息的时空匹配、以及文本灾害信息的不确定性和可靠性评价等关键技术领域迅速展开研究。我国应加强以Web文本为信息源的中文灾害信息挖掘关键技术、软件,以及管理体系的研究,以有效弥补灾害研究与管理过程中灾害数据共享困难,以及可利用的动态实时、综合性灾害数据缺乏的薄弱环节,提升灾害信息服务水平。     

遥感技术在城市建筑震害预测中的应用研究

长期以来,在城市的震害预测研究工作中,建筑物属性信息的主要获取方法是基于人工调查的传统方式。近年来,随着遥感技术的发展,尤其是高分辨率民用遥感卫星的成功发射,使得利用遥感技术进行城市震害预测成为可能。鉴于传统的信息获取方式存在的费时费力,数据获取周期长,数据信息时效性差等缺点,以郑州市中牟县的部分住宅区为例,对高分辨率遥感影像在城市震害预测中的应用做了相应研究。     

Information presentation compatibility in a simple digital control panel design: eye-tracking study

Various designs of typical digital control panels were analyzed experimentally from both the effectiveness and efficiency points of view. Subjects performed information comparison tasks aimed at keeping vehicle velocity at the same level. The experiment involved two versions of speedometers for displaying current and target velocities (clock-face and digital). The stimuli were also differentiated by the target velocity value (20, 50 and 80?km/h) and the correct response type (increase or decrease). Subjects’ performance results along with the eye-tracking data were qualitatively and quantitatively analyzed for all 24 experimental conditions.     

Ecolinguistics,GIS, and Corpus Linguistics for the Analysis of the Rosemont Copper Mine Debate

This article details an integration of geographical information system (GIS) and corpus linguistics (CL) techniques for an ecolinguistic analysis of a contentious, environmental debate in Arizona, USA. The application of GIS and CL procedures enabled the mapping of place name mentions present within two interest group corpora as well as the mapping of particular meanings and representations of specific places prominent in the debate, that is, maps representing both places and the discursive representations of those places were produced. The corpus-aided analysis and the GIS visualizations exhibit how different interest groups refer to and represent geographical places within their texts and how these references to and representations of places index ideological positions towards the mine and the environment. This integrated CL–GIS approach to the study of environmental discourse provides insights into the discursive representation of place and the importance that references to places serve within environmental discourse. The article briefly discusses the ecolinguistics framework underpinning the work, explains the GIS–CL approach, displays and interprets corpus findings and GIS visualizations, and details implications for additional GIS–CL research for environmental discourse.     

Supporting the risk management process with land information: a case study of Australia

It is frequently argued that, at the parcel level, 1 stakeholders are capable of and well supported in managing their land‐related risks. Yet, evidence from the contemporary Australian context suggests otherwise: numerous large‐scale disaster events have revealed that citizens are ill‐prepared to respond and recover adequately. This paper begins with the premise that information, specifically land information, could better support parcel‐level risk preparation, mitigation, response, and recovery. State land administration organisations in Australia primarily maintain this information and make it accessible. Land information is used regularly across all levels of government to support risk management activities; however, such application has not always occurred at the parcel and citizen level. Via a case study approach, this paper initially explores the land information available in Australia to stakeholders interested in parcel‐level detail, and then goes on to propose how the utilisation of parcel‐level land information could serve to enhance risk management practices.     

How planners and stakeholders learn with visualization tools: using learning sciences methods to examine planning processes

Planning researchers traditionally conceptualize learning as cognitive changes in individuals. In this tradition, scholars assess learning with pre- and post-measures of understandings or beliefs. While valuable for documenting individual change, such methods leave unexamined the social processes in which planners think, act, and learn in groups, which often involve the use of technical tools. The present interdisciplinary research program used Learning Sciences research methods, including conversation analysis, interaction analysis, and visualization of discourse codes, to understand how tools like agent-based models and geographic information systems mediate learning in planning groups. The objective was to understand how the use of these tools in participatory planning can help stakeholders learn about complex environmental problems, to make more informed judgments about the future. The paper provides three cases that illustrate the capacity of such research methods to provide insights into planning groups’ learning processes, and the mediating roles of planning tools.     

Modeling Watershed‐Scale Impacts of Stormwater Management with Traditional versus Low Impact Development Design

Stormwater runoff and associated pollutants from urban areas in the greater Chesapeake Bay Watershed (CBW) impair local streams and downstream ecosystems, despite urbanized land comprising only 7% of the CBW area. More recently, stormwater best management practices (BMPs) have been implemented in a low impact development (LID) manner to treat stormwater runoff closer to its source. This approach included the development of a novel BMP model to compare traditional and LID design, pioneering the use of comprehensively digitized storm sewer infrastructure and BMP design connectivity with spatial patterns in a geographic information system at the watershed scale. The goal was to compare total watershed pollutant removal efficiency in two study watersheds with differing spatial patterns of BMP design (traditional and LID), by quantifying the improved water quality benefit of LID BMP design. An estimate of uncertainty was included in the modeling framework by using ranges for BMP pollutant removal efficiencies that were based on the literature. Our model, using Monte Carlo analysis, predicted that the LID watershed removed approximately 78 kg more nitrogen, 3 kg more phosphorus, and 1,592 kg more sediment per square kilometer as compared with the traditional watershed on an annual basis. Our research provides planners a valuable model to prioritize watersheds for BMP design based on model results or in optimizing BMP selection.