地震预测研究与展望

概要介绍了近年来国际上就地震预测所展开的争论，分析了VAN方法所反映的地震前兆研究动向；就地震前兆观测与数据资料库建设、地震前兆的统计分析、地震的动力学预测、地震预测算法的发展等方面，论述了国际地震预测研究的进展；并概略地介绍了中国的地震预测研究进展．     

浅议中国地震科技期刊

对地震系统科技期刊普遍存在的问题进行了梳理．分析了形成的原因。指出，只有摆脱传统办刊的束缚．树立全行业、全社会办刊的意识．进行管理模式的改革、对系统内期刊进行整合、与系统外期刊进行联合．才能使地震科技期刊走出困境。     

常州市数字化测绘工程及GIS建库概述

数字化地形图和地籍图是城市规划、建设和管理及国土资源管理的重要基础资料．也是开展数字城市和信息化建设的最基础平台。通过对系统总体结构的设计和应用成果介绍，分析了目前基础地理数据生产、管理和应用的现状，介绍了基于GIS的常州市数字化地形图、地籍图测绘工程总体目标及基础地理信息系统总体设计．并概述了整个数字化测绘工程的实施过程和特点。     

一体化基础地形地籍数据库的设计思想

结合某地市级一体化基础地形地籍建设工程，主要介绍了一体化基础地形籍数据库的总体设计思想．对几个值得特别注意的关键技术问题进行了探讨，并给出了基本解决方法。     

谈县级地震部门依法管理建设工程抗震设防要求

以山西省祁县依法管理工程抗震设防要求为例，论述了强制性审核、确定一般工业、民用建设工程抗震设防要求的重要性及其深远意义。结合工作实际．总结了部分依法行政、规范管理和落实抗震设防要求的经验。     

Towards a long-term monitoring of Central European water mite faunas (Acari: Hydrachnidia and Halacaridae) – considerations on the background of data from 1900 to 2000

The state of knowledge of the Central European water mite fauna and the research history are briefly surveyed. Several areas for which we are provided with rich data sets are of high value for the monitoring of faunistic trends on the background of local and global environmental change. The need for a database combining historical and actual faunistic information is stressed. It should facilitate the access to all data from former times, give a survey on actual activities by regular updates, and help for a better organization of future research activities. On the base of an update of the Limnofauna Europaea (K.O. Viets 1978, Gerecke in www.watermite.org) a first attempt is made to (1) recognize changes in the Central European fauna during the past 100 years; (2) emphasize species which may be endangered or have disappeared during the past 100 years. At the present state of knowledge, the degree of threat to water mite species in this area is best calculated from their preference for particular habitat types which are rare and in danger to disappear in cultivated landscapes. Our knowledge concerning neozoic water mites in the study area is discussed.     

Karst database development in Minnesota: design and data assembly

The Karst Feature Database (KFD) of Minnesota is a relational GIS-based Database Management System (DBMS). Previous karst feature datasets used inconsistent attributes to describe karst features in different areas of Minnesota. Existing metadata were modified and standardized to represent a comprehensive metadata for all the karst features in Minnesota. Microsoft Access 2000 and ArcView 3.2 were used to develop this working database. Existing county and sub-county karst feature datasets have been assembled into the KFD, which is capable of visualizing and analyzing the entire data set. By November 17 2002, 11,682 karst features were stored in the KFD of Minnesota. Data tables are stored in a Microsoft Access 2000 DBMS and linked to corresponding ArcView applications. The current KFD of Minnesota has been moved from a Windows NT server to a Windows 2000 Citrix server accessible to researchers and planners through networked interfaces.     

Temporal replication of the national land cover database using active machine learning

Regional and national level land cover datasets, such as the National Land Cover Database (NLCD) in the United States, have become an important resource in physical and social science research. Updates to the NLCD have been conducted every 5 years since 2001; however, the procedure for producing a new release is labor-intensive and time-consuming, taking 3 or 4 years to complete. Furthermore, in most countries very few, if any, such releases exist, and thus there is high demand for efficient production of land cover data at different points in time. In this paper, an active machine learning framework for temporal updating (or backcasting) of land cover data is proposed and tested for three study sites covered by the NLCD. The approach employs a maximum entropy classifier to extract information from one Landsat image using the NLCD, and then replicate the classification on a Landsat image for the same geographic extent from a different point in time to create land cover data of similar quality. Results show that this framework can effectively replicate the land cover database in the temporal domain with similar levels of overall and within class agreement when compared against high resolution reference land cover datasets. These results demonstrate that the land cover information encapsulated in the NLCD can effectively be extracted using solely Landsat imagery for replication purposes. The algorithm is fully automated and scalable for applications at landscape and regional scales for multiple points in time.     

Australian Wetland Water Environment Management and Technology Dynamic Integration

Australian government attaches great importance to the management of wetland water environment and the implementation of advanced technology, and has made large processes in the recent decades. Australia is one of the best country in global for wetland management and technology implementation. Based on the analysis of Australian government working method for wetland water environment management, two wetland water environment management and technology dynamic integration cases, and on the comparason ofthe differences of wetland water environment management between the two countries, including Murray-Darling Basin (MDB) and Lake Eyre Basin (LEB), it can be concluded that the success of Australian wetland water environment management is because of the following reasons: the dynamic integration between department establishment and technology, the dynamic integration between public participation and monitoring technology, as well as the dynamic integration between innovation policy and advanced technology. Furthermore, entity management method such as Murray-Darling Basin Authority (MDBA) is more adaptable and has longer lifespan. Such virtual management method as Lake Eyre Basin Intergovernmental Agreement is more flexible and has lower cost. The lessons learned from Australian government can help China manage wetland water environment.     

Towards an EU Action Plan on Cetacean Bycatch

For decades, cetacean bycatch has been a major conservation and welfare concern in Europe, with high numbers of harbour porpoises, dolphins and whales continuing to die each year. Despite binding legal requirements to reduce bycatch, there has been limited effective monitoring or mitigation. Bycatch is also an important welfare issue. At this critical juncture, with discussion of incorporating monitoring and mitigation of bycatch of protected species in Europe into the Data Collection Framework and Technical Measures Framework taking place to help deliver the reformed Common Fisheries Policy (CFP), a clear, effective strategy could identify the steps that are required by all EU Member States to reduce bycatch towards zero. Here, implementation of current monitoring and mitigation obligations are reviewed. Recommendations are made for the provision of clear EU guidance in order to improve and unify population surveillance and bycatch monitoring, with enhanced implementation and enforcement from Member States. A more regionalised evidence-based approach to monitoring and mitigation is in line with the move to more regionalised management under the CFP, with Member States robustly showing that bycatch levels are decreasing over a set period of time (e.g. 5 years) by a specified amount. To this end, an EU Action Plan on Cetacean Bycatch, comparable to the existing 2012 Action Plan for reducing incidental catches of seabirds in fishing gear, might be beneficial and could ultimately form a model for an international Food and Agricultural Organisation (FAO) Cetacean Bycatch Reduction Action Plan.