Testing of a GIS model ofEucalyptus Iargiflorens health on a semiarid,saline floodplain

Irrigated agriculture has resulted in substantial changes in water flows to the lower reaches of the River Murray. These changes have led to large-scale occurrences of dieback inEucalyptus largiflorens (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth.To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.     

基于GIS的芜湖市城市用地扩展规律

利用芜湖市1990年、2000年两个时相的遥感影像进行城市土地利用解译,提取城市新、旧建成区区块用地,通过GIS软件提供的空间统计分析功能,对城市用地空间分布进行定量分析与描述,从而揭示城市用地及其扩展规律.研究结果表明,芜湖市用地扩展呈现明显中心圈层式蔓延和轴向集中性扩展规律的模式.作者提出了城市用地扩展中应注意解决的问题.     

GIS在巨灾保险风险管理中的应用研究

近年来 ,巨灾的不断发生 ,使得许多保险和再保险公司遭受巨大赔偿 ,乃至可能造成破产。究其原因 ,除了人们对巨灾自身难以抗拒这一客观原因外 ,保险企业对巨灾保险的风险管理方法、技术和手段的不适也是一个很重要的因素。为此 ,笔者分析了利用GIS辅助巨灾保险风险管理的优越性 ,并就GIS在巨灾保险的信息管理、风险累积预测和风险管理专家系统中所起的作用和发挥的功能分别进行了探讨。利用GIS辅助巨灾保险风险管理 ,不仅可以了解巨灾的发生和变化规律 ,进行危险性区域和费率区域的划分 ,而且可以优化保险和再保险方案 ,并通过专家系统设计出符合实用灾情的风险管理及保险管理的对策 ,对保险公司的巨灾保险风险管理起到了重要的指导作用。     

INTEGRATED ECHO SOUNDER,GPS, AND GIS FOR RESERVOIR SEDIMENTATION STUDIES: EXAMPLES FROM TWO ARKANSAS LAKES1

ABSTRACT: Bathymetric and sedimentation surveys were conducted using a dual frequency (28/200 kHz) echo sounder system in two reservoirs (Lee Creek Reservoir and Lake Shepherd Springs) in the Ozark Plateau of northwestern Arkansas. Echo sounder survey data were merged within geographic information system (GIS) software to provide detailed visualization and analyses of current depths, pre‐impoundment topography, distribution, thickness, and volume estimates of lacustrine sediment, time averaged sediment accumulation rates, long term average annual sediment flux, and water storage capacity. Calculated long term average sediment accumulation rates were used to model sediment infilling and projected lifetimes of each reservoir. Results from echo sounder surveys and GIS analyses suggest that the Lee Creek Reservoir has a projected lifetime of approximately 500 years compared to a projected lifetime for Lake Shepherd Springs of approximately 3,000 years. Estimated differences in projected lifetimes of these reservoirs reflected differences in initial reservoir volume and long term average annual sediment flux from the respective watersheds related to watershed area, physiography, land cover, and land use. The universal soil loss equation (USLE) model generated sediment fluxes an order of magnitude larger from the watersheds of both reservoirs compared to the geophysical data estimates. This study demonstrated the utility of merging geophysical survey (echo sounder) data within a GIS as an aid to understanding patterns of reservoir sedimentation. These data and analyses also provide a baseline relevant to understanding sedimentation processes and are necessary for development of long term management plans for these reservoirs and their watersheds.     

全国洪涝灾害警戒水域遥感数据库的研制

由于以往对发生的洪涝灾情没有形成统一的、客观的评价标准,而不同来源的各种数据往往大相径庭,使有关部门难以了解实际灾情。为此,提出了“警戒水域”的概念,利用TM和NOAA／AVHRR图像数据建立了我国七大江河地区洪涝灾害易发区的警戒水域遥感数据库,并用以指导洪涝灾情的监测与评估,为防洪救灾决策提供科学的、可靠的、时效性强的信息。该数据库的建立在我国的抗洪救灾中发挥了重要的作用。文章对其研究方法与其关键技术进行了介绍．     

Integrating social preference in GIS-aided planning for forestry and conservation activities: a case study from rural SE Asia

Land-use planning using geographic information systems (GIS) commonly emphasizes biophysical spatial data; however planning can be improved by integrating spatial sets of socioeconomic data into the GIS. As an example, we compared a traditional GIS-aided forestry planning protocol that considered only biophysical suitability, with an integrated GIS-aided approach that incorporated both biophysical and socioeconomic suitability. The analyses were conducted for the planning of plantation investments in the Kyaukpadaung Township in the dry zone of central Myanmar. The traditional approach used three biophysical layers for suitability: land use, slope, and accessibility. In contrast, the integrated GIS approach included biophysical suitability data, perceptions and preferences of local villagers towards forestry (social suitability), and quantitative socioeconomic data. The results indicated that the integrated approach provided two principal benefits over the traditional method. First, the integrated method resulted in a more precise idea of suitable sites for plantation investment that could benefit more rural people and also lead to greater investment efficiency. Second, incorporating social preference into the GIS takes into account the crucial element of social capital (viz., social preference), which should lead to higher levels of community acceptance of plantation projects because those plantations would be established on socially suitable land. A second GIS exercise showed how conservation investment decisions could be informed using the integrated method. The results of this study support the idea that GIS-aided planning activities can be enhanced through the incorporation of social data into the analysis. When applicable, spatial data collection efforts for GIS-based planning exercises should incorporate spatial socioeconomic data.     

Conceptual Design of a System for Selecting Appropriate Groundwater Models in Groundwater Protection Programs

/ An effective groundwater protection program requires understanding of water flow and contaminant transport processes in the subsurface. Although many mathematical models have been developed to simulate the processes, few actually are used in groundwater protection programs due to the difficulties in data collection, model selection, and model implementation. This study presents a conceptual design of a GIS-supported model selection system that evaluates available data and mathematical models to facilitate groundwater protection programs. Steady-state groundwater and contaminant transport models applied in isotropic aquifers are placed into four classes to simulate conservative or nonconservative contaminant transports in simple or complex geohydrological conditions. After analyzing specific study objectives, available data, and model requirements, the proposed system selects a class of models that can be used in simulation and recommends any need for additional data collection. This study initiates an effort to integrate GIS, mathematical models, and expert knowledge in one system to promote the application of appropriate groundwater models. The new technology of GIS and digital data-base management makes it possible to develop such a system in practice.KEY WORDS: Groundwater models; Geographic information systems     

应用人工神经网络方法对海水入侵危害程度划区分类

本文将目前信息处理系统中最有效的人工神经网络方法,应用于海水入侵地区,对其危害程度进行划区分类,提出了解题原理,步骤和计算方法,丰富了对海水入侵现象的研究手段。在莱州市滨海地区的计算表明,该方法是可行的。     

地理信息与减灾工作

对自然灾害的深入认识是进行减灾工作的思想基础，这种认识必须依靠专题地理信息的分析结果。灾害往往伴随在人类与自然系统的交互作用中。利用ＧＩＳ能帮助人们更好地实现对环境数据的分析与综合能力，并提供制定减灾工作所需的决策依据。     

Use of a geographic information system for storm runoff prediction from small urban watersheds

The use of computer-assisted map analysis techniques for prediction of storm runoff from a small urban watershed in the United States is investigated. An automated procedure for calculating input parameters for the US Soil Conservation Service (SCS) method of predicting storm runoff volume and peak timing is presented. Advanced techniques of spatial analysis are used to characterize spatial coincidence, surface configuration and effective hydrologic distance. A limited verification of the automated procedure indicates that the model reasonably characterizes water flow. A sensitivity analysis of basin disaggregation suggests that the SCS method yields increased volume and peak discharge predictions as the watershed is divided into smaller and smaller subunits. As a means to demonstrate the practical application of the automated procedure, a simulation of the effects on surface runoff for a potential residential development is presented.