潜水员水下用电安全技术规范的编制与认识

本文介绍了国家标准《潜水员水下用电安全技术规范》的研究、编制过程，以及编者对该标准性质、适用范围、总体结构、电气安全数值取舍等的基本认识，并就该标准制定实施后的经济、社会效益进行了初步预测。     

地理信息产业扩张阶段及应用分析

根据产业经济学的观点,提出我国地理信息产业目前处于产业扩张阶段的观点,推动产业规模迅速扩大成为行业发展的主要目标。由于派生性特点,寻求地理信息的本源性需求是产业完成扩张的关键问题,利用地理信息反映的价格信息支持社会公众经济博弈活动将是地理信息巨大的本源性需求。本文建议在产业扩张阶段应当瞄准社会公众、探索对公众生活进行博弈支持的服务方式。     

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.     

Local Spatiotemporal Modeling of House Prices: A Mixed Model Approach

The real estate market has long provided an active application area for spatial–temporal modeling and analysis and it is well known that house prices tend to be not only spatially but also temporally correlated. In the spatial dimension, nearby properties tend to have similar values because they share similar characteristics, but house prices tend to vary over space due to differences in these characteristics. In the temporal dimension, current house prices tend to be based on property values from previous years and in the spatial–temporal dimension, the properties on which current prices are based tend to be in close spatial proximity. To date, however, most research on house prices has adopted either a spatial perspective or a temporal one; relatively little effort has been devoted to situations where both spatial and temporal effects coexist. Using ten years of house price data in Fife, Scotland (2003–2012), this research applies a mixed model approach, semiparametric geographically weighted regression (GWR), to explore, model, and analyze the spatiotemporal variations in the relationships between house prices and associated determinants. The study demonstrates that the mixed modeling technique provides better results than standard approaches to predicting house prices by accounting for spatiotemporal relationships at both global and local scales.     

Supervised classification of electric power transmission line nominal voltage from high-resolution aerial imagery

For many researchers, government agencies, and emergency responders, access to the geospatial data of US electric power infrastructure is invaluable for analysis, planning, and disaster recovery. Historically, however, access to high quality geospatial energy data has been limited to few agencies because of commercial licenses restrictions, and those resources which are widely accessible have been of poor quality, particularly with respect to reliability. Recent efforts to develop a highly reliable and publicly accessible alternative to the existing datasets were met with numerous challenges – not the least of which was filling the gaps in power transmission line voltage ratings. To address the line voltage rating problem, we developed and tested a basic methodology that fuses knowledge and techniques from power systems, geography, and machine learning domains. Specifically, we identified predictors of nominal voltage that could be extracted from aerial imagery and developed a tree-based classifier to classify nominal line voltage ratings. Overall, we found that line support height, support span, and conductor spacing are the best predictors of voltage ratings, and that the classifier built with these predictors had a reliable predictive accuracy (that is, within one voltage class for four out of the five classes sampled). We applied our approach to a study area in Minnesota.     

面向离散点的空间权重矩阵生成算法与实证研究

采用阈值法和k-近邻法度量空间上离散点间的空间邻接关系,针对不同的距离计算方式(欧式距离和曼哈顿距离)设计了面向离散点的空间权重矩阵生成算法,使用C#语言在计算机上实现。用该算法对收集的8 367个常州市地价样点构建了不同土地用途地价样点的空间权重矩阵,并计算出分用途的常州市城市地价空间自相关指数。     

常规电法在桥基勘察中的应用与效果

以某高速公路桥基勘察为例，介绍了常规电法在桥基选址－初步勘察中的应用，并认为对具备一定地球物理前提的岩（土）体，该法效果明显，值得推广。     

上海地价动态更新体系建立研究

土地价格管理是土地市场管理的一项重要内容,建立完善的地价管理体系对于加强土地市场的科学管理具有重要意义。本文在借鉴国内外城市地价管理经验的基础上,结合上海地价管理工作实际,提出建立以基准地价、区段地价、标定地价、地价指数为核心的上海地价动态更新体系,并从整体关联性、时空有序性、修正体系相关性等方面深入分析了各地价之间的相互联系;提出以统一的管理信息平台、统一工作底图、统一的技术要求作为系统建设的技术支撑,以＂逐级推进、滚动更新＂的方式实现各地价的动态有序更新。指出了地价动态更新体系在公示、决策、预警方面的应用前景。     

并行网络电法在煤层覆岩破坏监测中的应用

并行网络电法勘探现场观测数据表明,随着开采煤层上覆岩体破坏程度的加剧,其电阻率值呈上升趋势:当煤层上覆岩层视电阻率值相对于背景电阻率值增大1~2倍时为裂隙发育带;当增大3倍以上时为离层冒落带。对于全空间电阻率观测,其视电阻率值的变化主要是以突出异常为主。应用结果表明,利用并行网络电法进行煤层顶板视电阻率动态监测,可以直观反映“三带”的发育形态以及开采产生矿山压力的显现规律,为矿井安全提供有效的探测手段。     

Economic dimension of the collapse of the ‘false cod’ Epinephelus aeneus in a context of ineffective management of the small-scale fisheries in Senegal

Small-scale fisheries are often seen as a solution for ensuring sustainability in marine exploitation. They are viewed as a suitable alternative to industrial fisheries, particularly when considering their social and economic importance in developing countries. Here, we show that the booming small-scale fishery sector in Senegal, in the context of increasing foreign demand, has induced the collapse of one of the most emblematic West African marine fish species, a large grouper Epinephelus aeneus, historically called ‘false cod’ by European fishers. The overexploitation of this species appears to be on account of the increasing effort sustained by a growing international demand and important subsidies, which resulted in a relative stability of the average economic yield per fishing trip and an incentive for continuing targeting this species to almost extinction. It is a critical time for addressing and mitigating the pressure of the small-scale fisheries to prevent declines of fish species that are highly valued by northern markets. A balance between conservation and exploitation is necessary to maintain ecological viability while considering the socio-economic importance of the small-scale fisheries. However, a new strategy is needed for conservation that will consider and articulate simultaneously the concerns regarding unmanaged and growing small-scale fisheries, rampant subsidies and increasing foreign demand.