建立我国安全生产应急救援标准体系的初步构想

我国安全生产应急救援工作日益受到政府和企业的重视，但是应急救援标准非常薄弱，造成应急管理和实际救援工作困难，建立安全生产应急救援标准体系是应急救援工作和保护人民生命财产的迫切需要。在总结国内外应急救援标准工作的基础上，本文提出了我国安全生产应急救援标准体系框架以及标准制定的原则和重点。     

应急预案的形式化描述

为了更好地利用信息技术支持应急管理，将应急预案与应急信息系统有机地关联起来，需要对应急预案进行形式化描述。应急预案形式化描述是建立应急预案理论框架的前提和基础。本文基于对应急预案和应急响应过程的分析，提出对应急预案的描述方法，包括组织结构描述、应急资源描述和应急过程描述。     

信息融合技术在智能交通安全系统中的应用

智能交通系统已经成为解决交通问题有效的手段，我国正在大力推广智能交通系统。智能交通安全系统是智能交通系统中不可或缺的一部分，它保证了智能交通系统能够准确的进行决策。信息融合技术是新兴的技术，在数据处理和分析中对系统有很大的帮助。介绍了信息融合的理论基础，基本功能，基本技术；以及智能交通系统信息融合模型；着重讨论了信息融合定位系统——卫星定位-航位推算系统（Global Positioning System—Dead Reckoning）（GPS—DR）在智能交通安全系统中的应用。     

基于地理信息系统的UPMIS安全设计

重点论述基于地理信息系统 (GIS)的城市路面管理信息系统 (UPMIS)安全设计的主要思路。即对城市道路具体路面的有关属性编码之后 ,通过GIS信息平台将路面空间属性与路面属性数据联系起来生成路面空间信息系统。从而使路面的管理与道路的地理信息相结合 ,使管理更加直接、形象。并且将研究应用到秦皇岛市路面管理系统的设计中 ,效果很好。笔者通过研究 ,为城市道路信息可视化管理作一些有益的探索。     

高校内部审计存在的问题与对策的初步探讨

目前高校内部经济活动发生了很大变化,内部的经济管理也变得更加复杂。如何有效的保证教育资金合理运用,保证内部经济活动健康、有序的开展,教育审计有着举足轻重的作用。本文分析了高校内部审计存在的问题,初步探讨解决的对策。     

矿业权市场的交易机制及运作模型

运用经济学和系统论的观点对矿业权市场的信息形成与传递、交易客体的价格形成的有关过程与机制进行了探讨,提出了矿业权市场的信息传递模式和探矿权、采矿权的价值构成模式,并对矿业权市场的运作模式进行了研究.     

信息时代的网络会计

随着因特网的普及和应用,网络会计应运而生。本文从网络会计的概念、特点、理论、目标、要求、问题和发展等方面,论述了网络会计将会得到更广泛的发展和应用,它将成为当代会计学中最有潜力的新领域。     

NITROGEN AND ORGANIC MATTER LOSSES IN NO‐TILL CORN CROPPING SYSTEMS1

ABSTRACT: Intensive cropping systems based on mechanical movement of soil have induced land degradation in most agricultural areas due to soil erosion and soil fertility losses. Thus, farmers have been increasing fertilization rates to maintain an economically competitive crop yield. This practice has resulted in water quality degradation and lake eutrophication in many agricultural watersheds. Research was conducted in the Patzcuaro watershed in central Mexico to develop appropriate technology that prevents nonpoint source pollution from fertilizers. Organic matter (OM) and nitrogen (N) losses in runoff and nitrate (NO₃‐N) percolation in Andisols with corn under conventional till (CT) and no‐till (NT) treatments using variable percentages of crop residue as soil cover were investigated for steep‐slope agriculture. USLE type runoff plots were used to collect water runoff, while suction tubes with porous caps at 30, 60, and 90 cm depth were used to sample soil water solutes for NO₃‐N analyses. Results indicated a significant reduction of N and OM losses in runoff as residue cover increased in the NT treatments. Inorganic N in runoff was 25 kg/ha for NT without residue cover (NT‐0) and 6 kg/ha for the NT with 100 percent residue cover (NT‐100). Organic matter losses in runoff were 157 and 24 kg/ha for the NT‐0 and NT‐100 treatments, respectively. Nitrate‐N percolation was evident in CT and NT with 100 percent residue cover (NT‐100). However, NT‐100 had higher NO₃‐N concentration at the root zone, suggesting the possibility of reducing fertilization rates with the use of NT treatments.     

MODELING THE IMPACTS OF WATER LEVEL CHANGES ON A GREAT LAKES COMMUNITY1

ABSTRACT: Recent research that couples climate change scenarios based on general circulation models (GCM) with Great Lakes hydrologic models has indicated that average water levels are projected to decline in the future. This paper outlines a methodology to assess the potential impact of declining water levels on Great Lakes waterfront communities, using the Lake Huron shoreline at Goderich, Ontario, as an example. The methodology utilizes a geographic information system (GIS) to combine topographic and bathymetric datasets. A digital elevation surface is used to model projected shoreline change for 2050 using water level scenarios. An arbitrary scenario, based on a 1 m decline from February 2001 lake levels, is also modeled. By creating a series of shoreline scenarios, a range of impact and cost scenarios are generated for the Goderich Harbor and adjacent marinas. Additional harbor and marina dredging could cost as much as CDN $7.6 million. Lake freighters may experience a 30 percent loss in vessel capacity. The methodology is used to provide initial estimates of the potential impacts of climate change that can be readily updated as more robust climate change scenarios become available and is adaptable for use in other Great Lakes coastal communities.     

利用信息扩散模式对安徽及华东地区地震的风险分析

本文利用信息扩散模式,分别从年地震频次和年最大震级两个方面对安徽及华东地区的地震风险进行评估.结果显示:安徽地区ML≥3.0地震,年频次4次以上,约两年一遇;年发生ML≥3.9地震,则3年可能遇一次.而华东地区ML≥4.0地震,年频次4次以上,大约3年一遇;年发生ML≥4.9的地震,则可能2年遇一次.