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。     

南京水体中抗抑郁类药物的赋存及风险评估

采集南京不同水体9个点位的水样,经固相萃取后采用LC-MS/MS方法测定样品中10种抗抑郁类药物,结合风险熵值法评估其对不同营养级水生生物的风险。结果表明,南京水体中存在不同程度的抗抑郁类药物污染,质量浓度范围为未检出～9.4 ng/L;舍曲林、氟伏沙明和西酞普兰的检出率为100%,氟西汀的检出率为44.4%。风险评估结果表明,南京水体中抗抑郁类药物对不同营养级水生生物表现出低—中等风险;舍曲林和氟西汀对总风险的贡献率最高,需要重点关注。     

制订我国污染场地土壤风险筛选值的几点建议

近年来,我国大中城市陆续开展污染企业搬迁,环境管理上要求对搬迁场地进行商业开发前必须开展场地环境调查、风险评估和修复,客观上要求有一套场地环境评价标准和污染土壤修复标准.针对目前国内污染场地标准缺失及盲目引用国外相关筛选值出现的误区,分析了美国、荷兰和英国土壤筛选值差异的主要原因,为合理借鉴国外土壤筛选值及其制定方法学...     

沈阳市某化工园区现状环境风险评估

从风险物质数量、风险诱发因素及风险防控能力角度出发,采用加权评分法,结合周边环境敏感受体情况,对沈阳市某化工园现状做环境风险评估。结果表明:JHYSD和XJHX的区域环境风险值贡献最大,分别为3.08和2.59,约占园区内总风险值的41.2%;该化工园综合环境风险值为13.57,构成该综合风险值的各分项大小不同,其中,RIS_(危险废物)分项环境风险最大,贡献率达到28.89%,其次为RIS_(大气),贡献率达27.34%,其余三者顺序为RIS_(化学品)RIS_水RIS_(累积)。     

中国环境风险评价体系的完善:来自美国的经验和启示

分析总结了美国在比较风险评价研究、环境风险评价指南、环境风险评价过程中的不确定性分析和风险交流等方面的经验,并结合我国环境风险评价现状和存在问题,提出,开展比较风险评价研究,完善环境风险评价指南体系,减小环境风险评价的不确定性和建立有效可行的环境风险交流体系的建议,从而完善我国环境风险评价体系,提高环境风险评价结果的真实性和可靠性。     

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.