贵州省土壤信息系统(GSIS)空间数据库的设计与建立

本文讨论了在PAMAPGIS(V4 .2 )支持下 ,贵州省土壤信息系统 (GSIS)空间数据库的设计、构建、功能以及应用。该数据库主要由三部分组成 :1 )基础地理信息。如数字高程模型 (DEM)、行政区划、交通网络等 ;2 )GSIS专题信息。包括土壤类型、理化性质、土地利用、农业气象等 ;3 )统计数据。主要有社会经济概况及历史灾害等。GSIS空间数据库可以提供空间及属性数据查询、不同数据格式间的相互转换、土地资源的快速准确分析、土地资源管理和评价以及土壤侵蚀调查。GSIS空间数据库的建立有望在贵州省国土规划与整治、农业的持续发展和生态环境监测等方面发挥较为积极的作用。     

Second german heavy-metal survey by means of mosses,and comparison of the first and second approach in germany and other european countries

This paper shows the geographic distribution in Germany of iron (Fe), nickel (Ni) and lead (Pb) analyzed in mosses in 1995/96 and compares it with the results of the 1990/91 pilot study within a European moss-monitoring programme. Other elements (As, Cd, Cr, Cu, Ti, V, Zn) are compared on basis of the overall element medians for Germany of the 1990/91 and 1995/96 survey. Samples of Pleurozium schreberi, Scleropodium purum, Hypnum cupressiforme and Hylocomium splendens were taken at a total of 1026 sites. In the 1995/96 monitoring campaign, 95% of the original sites of the 1990/91 study were resampled. The results from 1995/96 display local elevated values and many cases of areas affected by known sources of heavy-metal emissions. The industrialized and urban regions of Germany are shown up clearly by the 1995/96 moss-monitoring results: the Ruhr area, parts of Saarland and Baden-Württemberg, as well as areas in eastern Germany. Relatively low values for many elements were found in large areas of Lower Saxony and Bavaria. A comparison of the results of the 1990/91 and 1995/96 moss-monitoring programmes shows a fall in the concentration of the presented elements (except cadmium, copper and zinc) over the relevant period. Especially in the former GDR, chromium (Cr), iron (Fe), titanium (Ti) and vanadium (V) decreased significantly. This is, firstly, a reflection of the closure of and/or technological improvements to large power plants; secondly it is due to the fact that lignite has given way to other fuels. Vanadium (V) and nickel (Ni), typical constituents of crude oil, also show a decrease in the western part and thus document changes in the type of fuel consumed. The significant fall in lead concentration in 1995/96 as compared to 1990/91 in what used to be East and West Germany probably results from the increasing use of lead-free petrol. A comparison of the median values for 1990/91 and 1995/96 in mosses to the rate of emission of heavy metals in Germany for 1990 and 1995 shows similar trends in the case of elements such as arsenic (As), chromium (Cr), nickel (Ni), and lead (Pb). The comparison of the medians of the elements analyzed for 19 European countries indicates for most of the elements a general tendency to lower values in 1995, except for Lithuania, Netherlands, Portugal, Italy and United Kingdom.     

广州市城市林业管理信息系统的研制开发

将ＧＩＳ技术引进技术林业研究，建立广州市城市林业管理信息系统，该系统具有采集，管理，分析和更新多种区域空间信息的能力，其分六个子系统，公园管理子系统，绿地管理子系统、市郊森林管理子系统、管理机构管理子系统，法规文件管理子系统。可以文字，数据，报表，图形，录像和声音等方式输入、存储、显示、输出绿化系统各类信息，并能随时查阅，检索、修改、录入、删除各类信息。     

基于贝叶斯估计的多探测器火警判定方法研究*

为应对感烟探测器的大量误报对消防应急响应带来的挑战,考虑目前以感烟探测器为主的火警设施误报率高且短期内难以全部更换的特点,提出基于贝叶斯估计的多探测器火警判定方法,通过多个探测器的报警时间间隔计算火源位置的后验概率分布,并提出火警真实度概念,为火警判定提供依据。结果表明:使用多探测器耦合模型时每增加1个探测器可将误报率降低约4个数量级,该方法在探测器正常、部分失效、误报的情景下均能有效判别火警。     

Control division of agricultural non-point source pollution at medium-sized watershed scale in Southeast China

This paper presents the study carried out for controlling agricultural non-point source pollution (NSP) in a medium-sized watershed covering 1.47 × 10⁴ km² in Southeast China using quantitative analysis coupled with geographic information system (GIS), universal soil loss equation (USLE), soil conservation service-curve number (SCS-CN), nutrient loss equations, and annualized agricultural nonpoint source model (AnnAGNPS). Based on the quantitative results derived from GIS and environmental models, five control division units were generated for NSP control in Jiulong River watershed, namely, controlling unit for soil losses, controlling unit for livestock breeding and soil losses, controlling unit for excessive fertilizer use and livestock breeding, controlling unit for soil losses and fertilizer use, and controlling unit for excessive fertilizer use and soil losses. This study proved that integrating GIS with environmental models can be adopted to efficiently evaluate major sources and contributors of NSP, and identify the critical source areas of NSP, which enables adjusting measures to local conditions by further control division units developed through such study for control and management of water quality degradation induced by NSP in the Jiulong River watershed. __________ Translated from Research of Environmental Sciences, 2006, 19(4): 119–124 [译自: 环境科学研究]     

基于地理探测器的流域土壤磷流失影响因素分析

基于修正的通用土壤流失方程(RUSLE)和地理探测器,定量分析了甘肃白龙江流域土壤磷流失的空间分异及其影响因素.结果表明:①2014年流域平均土壤磷流失量为0.214 t·km~(-2)·a~(-1),流失总量为3945.38 t·a~(-1);②磷流失空间分布较为破碎,热点区集中于迭部北部和舟曲东北部等高山区及舟曲、文县和武都三区县交界的低山河谷区,冷点区集聚于宕昌北部耕作区和文县南部森林保护区;③流域磷流失的空间分异主要受土地利用和地形的影响,农牧业生产也发挥了一定作用,磷流失整体表现为随海拔和坡度的抬升而增加,草地林地耕地;④流域及其内部冷热区影响因素差异较大,这是由各区地理环境协同差异所致,最大交互因子分别为土壤类型∩景观破碎度、土壤类型∩植被覆盖度、降水∩第一产业从业人口比重.在流域磷流失治理中,应合理安排农牧业生产,在提高植被覆盖度的同时降低景观破碎度.     

MapObjects在城市道路交通噪声管理中的应用

从Visual Basic控件技术出发，介绍了建立在对象链接与嵌入技术基础上由美国ESRI公司的采用GIS控件MapObjects的运行机制及特点。结合该控件在城市道路交通噪声信息管理系统开发中的应用，对系统的建设目标、结构及开发模式做了介绍；以对北京市道路交通噪声信息管理系统的开发为例，对系统的功能作了简要说明。     

Predicting the Impact of Sea-Level Rise on Caribbean Sea Turtle Nesting Habitat

Abstract:  The projected rise in sea level is likely to increase the vulnerability of coastal zones in the Caribbean, which are already under pressure from a combination of anthropogenic activities and natural processes. One of the major effects will be a loss of beach habitat, which provides nesting sites for endangered sea turtles. To assess the potential impacts of sea-level rise on sea turtle nesting habitat, we used beach profile measurements of turtle nesting beaches on Bonaire, Netherlands Antilles, to develop elevation models of individual beaches in a geographic information system. These models were then used to quantify areas of beach vulnerable to three different scenarios of a rise in sea level. Physical characteristics of the beaches were also recorded and related to beach vulnerability, flooding, and nesting frequency. Beaches varied in physical characteristics and therefore in their vulnerability to flooding. Up to 32% of the total current beach area could be lost with a 0.5-m rise in sea level, with lower, narrower beaches being the most vulnerable. Vulnerability varied with land use adjacent to the beach. These predictions about loss of nesting habitat have important implications for turtle populations in the region.     

GIS and geostatistics: Essential partners for spatial analysis

Initially, geographical information systems (GIS) concentrated on two issues: automated map making, and facilitating the comparison of data on thematic maps. The first required high quality graphics, vector data models and powerful data bases, the second is based on grid cells that can be manipulated by suites of mathematical operators collectively termed map algebra. Both kinds of GIS are widely available and are taught in many universities and technical colleges. After more than 20 years of development, most standard GIS provide both kinds of functionality and good quality graphic display, but until recently they have not included the methods of statistics and geostatistics as tools for spatial analysis. Recently, standard statistical packages have been linked to GIS for both exploratory data analysis and statistical analysis and hypothesis testing. Standard statistical packages include methods for the analysis of random samples of cases or objects that are not necessarily co-located in space—if the results of statistical analysis display a spatial pattern then that is because the underlying data also share that pattern. Geostatistics addresses the need to make predictions of sampled attributes (i.e., maps) at unsampled locations from sparse, often expensive data. To make up for lack of hard data geostatistics has concentrated on the development of powerful methods based on stochastic theory. Though there have been recent moves to incorporate ancillary data in geostatistical analyses, insufficient attention has been paid to using modern methods of data display for the visualization of results. GIS can serve geostatistics by aiding geo-registration of data, facilitating spatial exploratory data analysis, providing a spatial context for interpolation and conditional simulation, as well as providing easy-to-use and effective tools for data display and visualization. The value of geostatistics for GIS lies in the provision of reliable interpolation methods with known errors, methods of upscaling and generalization, and for supplying multiple realizations of spatial patterns that can be used in environmental modeling. These stochastic methods are improving understanding of how errors in models of spatial processes accrue from errors in data or incompleteness in the structure of the models. New developments in GIS, based on ideas taken from map algebra, cellular automata and image analysis are providing high level programming languages for modeling dynamic processes such as erosion or the development of alluvial fans and deltas. Research has demonstrated that these models need stochastic inputs to yield realistic results. Non-stochastic tools such as fuzzy subsets have been shown to be useful for spatial analysis when probabilistic approaches are inappropriate or impossible. The conclusion is that in spite of differences in history and approach, the linkage of GIS, statistics and geostatistics provides a powerful, and complementary suite of tools for spatial analysis in the agricultural, earth and environmental sciences.     

九龙江流域规模化养殖环境风险评价

在GIS支持下采用养分收支平衡法对九龙江流域规模化生猪养殖的环境风险进行评价。规模化养殖污染负荷在不同类型养殖场的分配、空间分布规律以及规模化养殖的环境风险评价结果表明：规模化养猪业年产粪尿量达107万t，以小型规模化养殖场产生的污染负荷最高；整体来看，规模化生猪养殖的环境风险不大，但由于养殖场的地理分布集中，造成近郊区域规模化养殖的环境风险极高；由于过多施用化肥，中远郊规模化养殖粪尿未得到合理利用而流失。位于水系附近的养殖场对水体影响较大，根据“福建省畜禽养殖污染防治管理办法”，为减少规模化生猪养殖对九龙江水质的直接威胁，需搬迁主要支流沿岸1km范围内的规模化养猪场250个。