多源道路智能选取的本体知识推理方法EI北大核心CSCD

大数据时代道路数据来源日益增多,跨数据源的道路选取面临巨大挑战。本文针对数据语义不一致问题,提出一种基于本体知识推理的多源道路选取方法。首先,将1∶5万基本比例尺地形图道路数据作为基础案例,将四维图新导航电子地图和开放街道地图中的道路数据作为试验数据,基于stroke计算道路等级、长度、连通度、接近度、中介度特征项,提取特征项概念并构建本体;然后,从语义特征项和数值特征项两方面计算本体概念相似性,建立基础案例与试验数据间的关联关系;最后,基于本体和语义网规则语言定义本体通用、语义特征、数值特征三类选取规则,实现跨数据源道路选取的过程性知识推理。试验表明,本文方法可基于本体概念相似性度量消除语义差异,同时利用语义网规则语言进行知识推理,可实现多源道路数据向基本比例尺数据的智能选取。     

基于拓扑网络研究海州湾食物网结构与复杂性

针对食物网结构与复杂性的研究有助于深入解析食物网的功能、营养动力和能量转化过程。本文根据2011年3-12月在海州湾及其邻近海域进行的5个航次的渔业资源底拖网调查资料以及胃含物分析数据,基于11个拓扑网络指数,构建了海州湾拓扑网络,研究海州湾食物网的结构与复杂性。结果表明,本文分析的海州湾食物网物种数S为93,连接数L为1 021,每个物种的相互作用数量L/S为10.98,连接性L/S²为0.12;顶级物种、中间物种、基础物种的比例分别为29%、69%和2%;食物网的杂食性指数为87%,连接复杂性指数SC为22.20,特征路径长度ChPath为2.11,聚类系数CC为0.23。通过每个物种的相互作用数量和连接性的研究显示,L/S和L/S²的值都处在正常范围内,所以海州湾食物网的复杂性仍保持较高水平。通过物种比例、杂食性指数、连接复杂性指数、特征路径长度、聚类系数对食物网结构分析,发现海州湾食物网结构处于稳定状态,能够在一定程度上抵御外界环境的扰动,保证生态系统功能的正常运行。通过对海州湾食物网结构与复杂性的研究,将为今后海州湾食物网功能的深入...     

Fast Web - Based Data Transmission

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西北地下水资源数据库及其网上发布

西北地下水资源数据库包括地下水资源属性数据库和地下水资源空间数据库，属性数据库采用AC－CESS97存储格式，空间数据库采用ARCVIEW3．1存储格式，文中介绍了西北地下水资源数据库的基本内容，组织结构及其元数据，阐述了其在网上发布的动态网页设计思路及基于WEB GIS的数据浏览，查询的设计思路。     

“海参-对虾”混养海水池塘的食物网结构及营养层级研究

The food sources of aquacultured Apostichopus japonicus and the trophic levels of organisms in a sea cucumber(A. japonicus) and prawn(Penaeus japonica) polyculture system in a saltwater pond in Zhuanghe, Liaoning Province were examined using carbon and nitrogen stable isotopes. Across organisms, δ13C ranged from(–25.47±0.20)‰ to(–16.48±0.17)‰(mean±SD), and δ15N ranged from(4.23±0.49)‰ to(12.44±0.09)‰. The δ13C and δ15N contents of A. japonicus, P. japonica and Fenneropenaeus chinensis were comparatively higher than those of other organisms. Values of δ13C and δ15N revealed that P. japonica, Hemigrapsus sanguineus and Neomysis japonica comprised the largest component of the diet of A. japonicus. The mean trophic level of the organisms in this saltwater pond polyculture system was(2.75±0.08). P. japonica, A. japonicus, F. chinensis,Synechogobius hasta and Neomysis japonica were in the 3rd trophic level(2–3); jellyfish, H. sanguineus and zooplankton were in the 2nd trophic level(1–2); and Enteromorpha prolifera, benthic microalgae, periphyton and suspended matter primarily consisting of phytoplankton, bacteria and humus were in the primary trophic level(0–1).     

Methodology and software solutions for multicriteria evaluation of floodplain retention suitability

Extreme flood events often have adverse effects for people living near or within areas at risk. Reactivating morphological river floodplains for flood retention measures can substantially reduce flood wave peaks and the negative flooding consequences. This article accordingly focuses on a methodology for identifying suitable locations for such measures by spatial multicriteria evaluation (MCE). Compromise programming (CP) and the analytic hierarchy process (AHP) are core methodological components. Furthermore, this methodology is based on impact analysis and draws on expert knowledge. This article also deals with software tools that support the operationalization of methodological components. Data harmonization algorithms are implemented as geoprocessing tools. Both CP and AHP are designed as software providing graphical user interfaces (GUIs). While an extension integrates CP into a geoinformation system, AHP is realized as a web application enabling participation of expert practitioners. The methodological components are operationalized through an example on the floodplains of the German river Elbe.     

Towards a collaborative global land cover information service

ABSTRACT

The need and critical importance of global land cover and change information has been well recognized. Although rich collection of such information has been made available, the lack of necessary information services to support its easy access, analysis and validation makes it difficult to find, evaluate, select and reuse them through well-designed workflows. Aiming at promoting the development of the needed global land cover information services, this paper presents a conceptual framework for developing a Collaborative Global Land Cover Information Service (CoGland), followed by discussions on its implementation strategies. The framework supports connected and shared land cover and change web services around the world to address resource sharing, community service and cross-board collaboration needs. CoGland can benefit several recent international initiatives such as Future Earth, and many societal benefit areas. The paper further proposes that CoGland be developed within the framework of the Group on Earth Observations with the support of a number of key organizations such as the United Nations Expert Committee on Global Geospatial Information Management, the International Society for Photogrammetry and Remote Sensing, and International Society of Digital Earth. It is hoped that this paper can serve as a starting point for further discussions on CoGland developments.     

Validation of landslide hazard models using a semantic engine on online news

The objective of this work is twofold: (i) automatically setting up a landslide inventory using a state-of-the art semantic engine based on data mining on online news and (ii) evaluating if the automatically generated inventory can be used to validate a regional scale landslide warning system based on rainfall-thresholds.The semantic engine scanned internet news in real time in a 50 months test period. At the end of the process, an inventory of approximately 900 landslides was automatically set up for the Tuscany region (23,000 km², Italy). Using a completely automated procedure, the inventory was compared with the outputs of the regional landslide early warning system and a good correspondence was found, e.g. 84% of the events reported in the news is correctly identified by the warning system.On the basis of the obtained results, we conclude that automatic validation of landslide models using geolocalized landslide events feedback is possible. The source of data for validation can be obtained directly from the Internet channel using an appropriate semantic engine dedicated to perform a monitoring of the Google News aggregator.Moreover, validation statistics can be used to evaluate the effectiveness of the predictive model and, if deemed necessary, an update of the rainfall thresholds could be performed to obtain an improvement of the forecasting effectiveness of the warning system.In the near future, the proposed procedure could operate in continuous time and could allow for a periodic update of landslide hazard models and landslide early warning systems with minimum or none human intervention.     

基于GeoNames和Solr的地名数据全文检索

地名数据是一种重要的地理信息资源,目前我国的地名数据库建设多局限于国内地名,缺少国外数据。传统地名数据的检索多为关键字查询,查询效率低且无法用于复杂地名查询。文中提出一种基于开源地名数据库GeoNames和开源搜索引擎Solr的地名数据全文检索方法,通过分析GeoNames的数据类型和结构,构建MySQL地名数据库,并利用Solr建立地名索引,提供基于Web服务的地名数据全文检索。实验表明,基于Solr的地名数据全文检索能够显著提高地名数据检索效率,对于复杂地名查询,也能进行有效地检索。     

Environmental controls on food web regimes: A fluvial perspective

Because food web regimes control the biomass of primary producers (e.g., plants or algae), intermediate consumers (e.g., invertebrates), and large top predators (tuna, killer whales), they are of societal as well as academic interest. Some controls over food web regimes may be internal, but many are mediated by conditions or fluxes over large spatial scales. To understand locally observed changes in food webs, we must learn more about how environmental gradients and boundaries affect the fluxes of energy, materials, or organisms through landscapes or seascapes that influence local species interactions. Marine biologists and oceanographers have overcome formidable challenges of fieldwork on the high seas to make remarkable progress towards this goal. In river drainage networks, we have opportunities to address similar questions at smaller spatial scales, in ecosystems with clear physical structure and organization. Despite these advantages, we still have much to learn about linkages between fluxes from watershed landscapes and local food webs in river networks. Longitudinal (downstream) gradients in productivity, disturbance regimes, and habitat structure exert strong effects on the organisms and energy sources of river food webs, but their effects on species interactions are just beginning to be explored. In fluid ecosystems with less obvious physical structure, like the open ocean, discerning features that control the movement of organisms and affect food web dynamics is even more challenging. In both habitats, new sensing, tracing and mapping technologies have revealed how landscape or seascape features (e.g., watershed divides, ocean fronts or circulation cells) channel, contain or concentrate organisms, energy and materials. Field experiments and direct in situ observations of basic natural history, however, remain as vital as ever in interpreting the responses of biota to these features. We need field data that quantify the many spatial and temporal scales of functional relationships that link environments, fluxes and food web interactions to understand how they will respond to intensifying anthropogenic forcing over the coming decades.