基于3S技术对太湖底质及水质总磷的研究

应用3S技术研究了太湖底质与水质总磷(TP)的分布情况,并结合水华频次分析了其相关性。结果表明:2016—2018年,太湖底质TP年均值在433~537 mg/kg波动,水质TP年均值从0.064 mg/L上升至0.087 mg/L。从空间分布来看,底质TP、水质TP和水华频次均呈现“西高东低”的规律,太湖西部区尤其是竺山湖区是需要开展治理的重点区域。3年间,太湖西部区水质TP上升,而底质TP与入湖河流TP下降,说明内源磷污染是太湖西部区水质TP升高的主要原因,须加强科学清淤。     

油田车队综合信息管理系统研制及应用

油田车队综合信息管理系统采用了RFID射频识别、GPS全球卫星定位和GIS地理信息技术,阐述了管理系统的系统硬件与系统软件.应用实践证明,使用该系统实现了车辆的场内和外部信息管理的统一,达到了车辆运行全天候、全方位监控管理的目的.     

Young drivers' responses to anti-speeding advertisements: Comparison of self-report and objective measures of persuasive processing and outcomes

Objective: Self-report measures are typically used to assess the effectiveness of road safety advertisements. However, psychophysiological measures of persuasive processing (i.e., skin conductance response [SCR]) and objective driving measures of persuasive outcomes (i.e., in-vehicle Global Positioning System [GPS] devices) may provide further insights into the effectiveness of these advertisements. This study aimed to explore the persuasive processing and outcomes of 2 anti-speeding advertisements by incorporating both self-report and objective measures of speeding behavior. In addition, this study aimed to compare the findings derived from these different measurement approaches.

Methods: Young drivers (N = 20, M age = 21.01 years) viewed either a positive or negative emotion–based anti-speeding television advertisement. While viewing the advertisement, SCR activity was measured to assess ad-evoked arousal responses. The RoadScout GPS device was then installed in participants' vehicles for 1 week to measure on-road speed-related driving behavior. Self-report measures assessed persuasive processing (emotional and arousal responses) and actual driving behavior.

Results: There was general correspondence between the self-report measures of arousal and the SCR and between the self-report measure of actual driving behavior and the objective driving data (as assessed via the GPS devices).

Conclusions: This study provides insights into how psychophysiological and GPS devices could be used as objective measures in conjunction with self-report measures to further understand the persuasive processes and outcomes of emotion-based anti-speeding advertisements.     

Arsenic, Cadmium, Lead, and Mercury in surface soils, Pueblo, Colorado: implications for population health risk

Decades of intensive industrial and agricultural practices as well as rapid urbanization have left communities like Pueblo, Colorado facing potential health threats from pollution of its soils, air, water and food supply. To address such concerns about environmental contamination, we conducted an urban geochemical study of the city of Pueblo to offer insights into the potential chemical hazards in soil and inform priorities for future health studies and population interventions aimed at reducing exposures to inorganic substances. The current study characterizes the environmental landscape of Pueblo in terms of heavy metals, and relates this to population distributions. Soil was sampled within the city along transects and analyzed for arsenic (As), cadmium (Cd), mercury (Hg) and lead (Pb). We also profiled Pueblo’s communities in terms of their socioeconomic status and demographics. ArcGIS 9.0 was used to perform exploratory spatial data analysis and generate community profiles and prediction maps. The topsoil in Pueblo contains more As, Cd, Hg and Pb than national soil averages, although average Hg content in Pueblo was within reported baseline ranges. The highest levels of As concentrations ranged between 56.6 and 66.5 ppm. Lead concentrations exceeded 300 ppm in several of Pueblo’s residential communities. Elevated levels of lead are concentrated in low-income Hispanic and African-American communities. Areas of excessively high Cd concentration exist around Pueblo, including low income and minority communities, raising additional health and environmental justice concerns. Although the distribution patterns vary by element and may reflect both industrial and non-industrial sources, the study confirms that there is environmental contamination around Pueblo and underscores the need for a comprehensive public health approach to address environmental threats in urban communities.     

GPS在山区滑坡变形监测中的应用

山区滑坡的稳定性一直是倍受关注的一个重要安全问题。本文讨论了滑坡位移传统监测方法的缺陷和新型的基于GPS的自动监测技术所具有的独特优势,介绍了适用于山区公路滑坡位移监测的高精度的GPS技术。实践表明,采用GPS技术进行山区滑坡的稳定性监测,具有可操作性更强、精度更高、不受气候条件约束以及高度自动化等优点,能够为预测边坡可能出现失稳破坏的部位和变形破坏时间提供更可靠的监测资料,因而GPS监测技术值得在山区滑坡的变形监测领域中推广使用。     

Sensitivity of species-distribution models to error,bias, and model design: An application to resource selection functions for woodland caribou

Models that predict distribution are now widely used to understand the patterns and processes of plant and animal occurrence as well as to guide conservation and management of rare or threatened species. Application of these methods has led to corresponding studies evaluating the sensitivity of model performance to requisite data and other factors that may lead to imprecise or false inferences. We expand upon these works by providing a relative measure of the sensitivity of model parameters and prediction to common sources of error, bias, and variability. We used a one-at-a-time sample design and GPS location data for woodland caribou (Rangifer tarandus caribou) to assess one common species-distribution model: a resource selection function. Our measures of sensitivity included change in coefficient values, prediction success, and the area of mapped habitats following the systematic introduction of geographic error and bias in occurrence data, thematic misclassification of resource maps, and variation in model design. Results suggested that error, bias and model variation have a large impact on the direct interpretation of coefficients. Prediction success and definition of important habitats were less responsive to the perturbations we introduced to the baseline model. Model coefficients, prediction success, and area of ranked habitats were most sensitive to positional error in species locations followed by sampling bias, misclassification of resources, and variation in model design. We recommend that researchers report, and practitioners consider, levels of error and bias introduced to predictive species-distribution models. Formal sensitivity and uncertainty analyses are the most effective means for evaluating and focusing improvements on input data and considering the range of values possible from imperfect models.     

城市级危险废物转移安全监管系统设计研究

通过对我国危险废物运输安全现状的分析,以及危险废物转移运输管理中存在的问题,借鉴国内外先进经验,提出构建低成本城市级危险废物转移监控系统的设想,为城市危险废物管理提供辅助工具。以广州市为例,将自建监控中心与基于商业平台监管危险废物转移的设计方案作对比,发现两者构建技术大致相同,但基于商业平台的监管方案节省系统的建设和运行费用50%以上,其不仅可实现政府部门通过内网进行正常业务管理,还可实现政府和危险废物运输企业通过外网对危险废物运输车辆进行实时安全监控,能有效地提高政企对危险废物运输的两级安全监管效能,为突发污染事件提供查询和应急辅助决策,同时为我国各城市危险废物运输的安全监管提供借鉴意义。     

基于GIS的森林火灾现场模拟及其应用

分析了基于GIS进行森林火灾现场模拟的可行性,对在ESRI Arc View9x平台上进行森林火场环境模拟、林火蔓延预测和火灾扑救态势标绘与推演的方法进行了研究,并结合开发实例对其实现机制进行了详细的阐述。     

青海省特大滑坡调查中采取数字滑坡技术的意义及应用

为认识和了解青海省特大滑坡的分布特征，分析研究其与地质环境的相互关系，我们利用GIS技术建立“数字滑坡”即以遥感（RS）和全球定位系统（GPS）方法为主，结合其它勘探、测绘、试验、调查等手段来获取数字形式的与地理坐标配准的滑坡基本信息，并利用GIS技术存贮和管理这些信息。在此基础上，根据滑坡学原理进行空间分析，研制各类模型，以服务于滑坡调查、监测、研究、滑坡灾害评价、危险预测、灾情评估等工作。本文通过白刺滩滑坡三维数字模型来说明“数字滑坡”的技术应用。     

城市电磁环境建模及网络监测系统的构想

随着科技的发展和城市建设速度的加快,电磁污染的问题已经越来越受到各界的重视与关注。该文首先介绍了时域有限差分法的基本概念,并建立了基于时域有限差分法计算的数学模型,然后针对城市电磁环境的特点,从电磁污染产生的根源和电磁干扰的种类入手进行研究,对电磁污染的监测方式进行了讨论,在此基础上,给出了一种基于GPS定位技术和GPRS无线传输技术的城市电磁环境网络监测系统的构想,并对系统结构及其所实现的功能进行了讨论。