基于GIS的生态质量气象评价建库方法研究

根据生态质量气象评价的要求和GIS建库的特点,研究了建立生态质量气象评价的数据库和评价模块的具体方法,并将此方法应用于海南省生态质量气象评价,结果表明利用GIS的建立生态质量评价数据库是可行的。     

水资源开发利用引起的环境负效应——以玛纳斯河流域为例

通过对玛纳斯河流域环境负效应研究,确定了水资源开发利用过程中引起环境负效应的制约因子,引入地下水动态均衡方法进行半定量分析,明确地下水量的变化为引起环境负效应的直接因素,为定量进行水资源综合开发与利用、防止环境负效应的产生提供方法和依据。     

煤层底板水害防治智能决策支持系统框架构建

煤层底板突水是华北型煤田煤矿生产过程中一种常见的水害类型,为解决水害防治工程的科学决策问题,进一步提高防治水工程的可靠性,提出构建智能决策支持系统的技术思路。智能决策支持系统是传统决策支持系统与人工智能技术相互融合的产物,在分析底板水害防治决策支持功能需求的基础上,提出“数据-模型-方案”一体化设计流程,从数据导入、模型驱动、智能决策等3个层次构建底板水害防治智能决策支持系统的基本框架。将模型驱动层进一步细分为方法库、模型库、知识图谱构建3项专业化服务,模型库包括底板突水空间点预测模型、疏水降压数值模拟模型、注浆改造工程可靠性分析模型、隔离工程设计模型及底板水害监测预警模型。系统最终输出的决策方案包括底板突水危险性分区、疏水降压Q-t-s方案、区域注浆改造设计及工程可靠性评价、隔离工程设计、底板突水监测预警警情发布。系统通过注浆过程的反馈-控制、突水监测预警的深度学习、疏水降压方案的动态优化等实现其智能决策。智能决策支持系统将会在煤层底板水害防治可靠性保障方面提供新的技术支撑。     

岩体质量分级的风险分析方法

提出了基于RMR岩体质量分级系统的岩体质量研究风险分析方法。该方法分析步骤如下 :(1)通过岩芯样品的现场观测和实验室试验获得分类所需的变量 ;(2 )统计分析拟合得出各变量的分布函数及参数 ;(3)运用Monte Carlo模拟方法获得 2万个RMR值 ,并将结果绘成岩体质量描述图 ;(4)利用以上结果作出岩体质量风险分析评价。该方法用于润扬长江公路大桥岩体质量评价研究获得良好效果     

Potential food deserts and food oases in a post-communist city: Access,quality, variability and price of food in Bratislava-Petržalka

Delimitation tools and definitions of food deserts have not been internationally unified so far. Such comprehension ambiguity may lead to variability in research methods as well as to terminology mismatch in the research. In general, assessment of accessibility of selected (large-scale) food stores network in a region is considered as a suitable tool to identify the food deserts, but this is certainly not the only approach. In our paper some other approaches (such as measuring quality, variability and food price) are assessed together with supermarkets and hypermarkets accessibility examination. Results gained by analyses based on various methodological approaches are then compared and confronted, which simultaneously allows us to compare the individual approaches. For our case study purposes, the largest housing estate in Slovakia's capital city was selected.     

Predicting the dependency of a degree of saturation on void ratio and suction using effective stress principle for unsaturated soils

The paper presents an approach to predicting variation of a degree of saturation in unsaturated soils with void ratio and suction. The approach is based on the effective stress principle for unsaturated soils and several underlying assumptions. It focuses on the main drying and wetting processes and does not incorporate the effects of hydraulic hysteresis. It leads to the dependency of water retention curve (WRC) on void ratio, which does not require any material parameters apart from the parameters specifying WRC for the reference void ratio. Its validity is demonstrated by comparing predictions with the experimental data on four different soils taken over from the literature. Good correlation between the measured and predicted behaviour indirectly supports applicability of the effective stress principle for unsaturated soils. Copyright © 2009 John Wiley & Sons, Ltd.     

浅谈高校测绘实验室信息化管理平台的构建

就高校测绘实验室信息化管理平台的构建进行浅析与探讨,主要针对测绘实验室所承担的工作内容,并结合实际问题进行阐述。从实验室管理员的角度,结合教师、学生、企业三方面考虑,构建高校测绘实验室信息化管理平台不仅可以提高实验教学质量,而且还能实现实验室资源的优化配置。     

Hydrogen sulfide measurements in air by passive/diffusive samplers and high-frequency analyzer: A critical comparison

In this study, hydrogen sulfide (H₂S) measurements in air carried out using (a) passive/diffusive samplers (Radiello^® traps) and (b) a high-frequency (60 s) real-time analyzer (Thermo^® 450i) were compared in order to evaluate advantages and limitations of the two techniques. Four different sites in urban environments (Florence, Italy) and two volcanic areas characterized by intense degassing of H₂S-rich fluids (Campi Flegrei and Vulcano Island, Italy) were selected for such measurements. The concentrations of H₂S generally varied over 5 orders of magnitude (from 10⁻¹–10³ μg/m³), the H₂S values measured with the Radiello^® traps (H₂S_R) being significantly higher than the average values measured by the Thermo^® 450i during the trap exposure (H₂S_Ta), especially when H₂S was <30 μg/m³. To test the reproducibility of the Radiello^® traps, 8 passive/diffusive samplers were contemporaneously deployed within an 0.2 m² area in an H₂S-contaminated site at Mt. Amiata (Tuscany, Italy), revealing that the precision of the H₂S_R values was ±49%. This large uncertainty, whose cause was not recognizable, is to be added to that related to the environmental conditions (wind speed and direction, humidity, temperature), which are known to strongly affect passive measurements. The Thermo^® 450i analyzer measurements highlighted the occurrence of short-term temporal variations of the H₂S concentrations, with peak values (up to 5732 μg/m³) potentially harmful to the human health. The Radiello^® traps were not able to detect such temporal variability due to their large exposure time. The disagreement between the H₂S_R and H₂S_Ta values poses severe concerns for the selection of an appropriate methodological approach aimed to provide an accurate measurement of this highly toxic air pollutant in compliance with the WHO air quality guidelines. Although passive samplers may offer the opportunity to carry out low-cost preliminary surveys, the use of the high-frequency H₂S analyzer is preferred when an accurate assessment of air quality is required. In fact, the latter provides precise real-time measurements for a reliable estimation of the effective exposure to hazardous H₂S concentrations, giving insights into the mechanisms regulating the dispersion of this air pollutant in relation to the meteorological parameters.