应用GIS模糊层次分析法对森林火灾风险区划——以湖南省宁远县为例

应用ArcGIS的模糊逻辑和层次分析法,对湖南省宁远县的森林火灾风险进行评估和火险区划研究,参与评估的火险因子包括环境、人类活动和地形因子。研究结果表明:温度、降水、海拔和归一化植被指数(NDVI)对研究区域林火风险的影响最为显著;宁远县47.6%的区域被确定为四级及以上火险等级,主要分布于该县中部的大部分地区,该县火险情况严峻;编制的森林火灾风险图预测精度达82.7%。模糊层次分析法在森林火灾风险预测中展现出较好的效果,可作为林火预测和火险制图的重要工具,编制的森林火灾风险图为宁远县的林火管理提供了科学参考依据。

The Development of a Geographic Information System(GIS) Database for Jiuzhaigou National Nature Reserve and Its Application

The objective of this paper is to develop a GIS(Geographic Information System) database for Jiuzhaigou National Nature Reserve(Jiuzhaigou,hereafter) in China and demonstrate its application as a research tool.A cost-effective procedure was developed to compile a variety of geographical and biological data of the study area in terms of popular GIS format such as shape files.These files were further calibrated and validated using field surveys data.The developed GIS database was used to quantify the distributions of the wildlife(amphibians,mammals,and birds) using the distances of the wildlife to the centerline of the bus-tour routes.The Pearson correlation coefficient was used to quantify the correlation in space between pairs of different wildlife using the number of habitats for given space contexts.An ArcObject-based macro was developed to perform the analysis.The results showed the majority of the habitats of wildlife are located in the proximity of the tour-bus routes with an average distance ranging from 564 to 894 m depending on types of wildlife.This indicates a possibility of the disturbance to the wildlife by human activities.The correlation coefficient of the wildlife ranged from 0.36 to 0.64 depending on pairs of wildlife,indicating some correlations in space.However,due to the limited sample size,the statistical significances need to be further investigated.This paper has successfully demonstrated the use of the GIS-based database as a research tool for environmental study.

The Demographic Impact on Credit Scores＂ Evidence From Statistical Methods and Geographic Information Systems （GIS） Mapping

Average credit scores for people in the United States （US） differ from state to state. Some states have high, and some states have low average credit scores. Since lenders and employers use credit scores to make loan and employment decisions, people living in states where average credit scores are high should experience the benefits of living where credit scores tend to allow more favorable loan and employment decisions. Although credit scores are the direct result of credit histories, credit histories may be impacted by demographic factors. If the demographic factors that impact credit histories are identified, ways to improve credit scores are likely to be discovered and available to people and state government policymakers. This study looks for demographic factors to indirectly explain the average credit scores for people living in each state of the US. The methodology includes statistical analyses and geographic information systems （GIS） mapping. Statistical analyses provide evidence to suggest that state average credit scores are explained by the demographic factors of education, family, income, and health. GIS mapping reveals clusters of states with similar demographics and credit scores.

Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial

Over 16 million caregivers of people living with dementia require support in a range of issues, including self-care, disease education, and guidance for how to manage behavioral and psychological symptoms of dementia (BPSD). Non-pharmacological interventions are needed to address these areas, and online applications have been shown to be safe and effective. To ensure the efficacy of such interventions, racially, ethnically, geographically, and socioeconomically diverse participants must be recruited to increase the generalizability of study outcomes. This protocol paper describes a recruitment plan using Geographic Information Systems (GIS) to reach a representative sample of caregivers across the United States for a national Phase III clinical study. Using publicly available census data from the American Community Survey (ACS), combined with location data for local aging resources such as Area Agencies on Aging (AAA), recruitment will be derived from data analysis conducted in ESRI ArcGIS v10.7.1. Datasets including age, gender, income, and education will be assessed nationally at the county and census tract spatial scale in a nine-step process to develop recruitment priority areas containing high concentrations of eligible participants living in the community. Overall, the current protocol will demonstrate the value of GIS in tailoring targeted outreach strategies to recruit community-dwelling populations through local resource institutions. This novel approach may have far-reaching implications in future recruitment initiatives and help to secure racially/ethnically diverse samples.

Development of Large-Scale Land Information System (LIS) by Using Geographic Information System (GIS) and Field Surveying

Cadastral maps are an important component of land administration in most countries. In virtually all developed countries, the needs of computerized land and geographic information systems (LIS/GIS) has given urgent impetus to computerizing cadastral maps and creating digital cadastral data bases (DCDB). This process is creating many institutional, legal, technical and administrative problems. This desire to establish DCDBs is being given increased impetus due to a new range of enabling technologies such as satellite position fixing (GPS), improved spatial data collection techniques such as digital theodolites and “soft copy” photogrammetry, as well as a vast range of new information and communications technological tools, thus contributing to the advancement and keeping up with the great countries. This paper presents the problem of cadastral maps. The hitherto existing cadastre, consisting of paper maps and land registers, is now becoming insufficient. Its shortcomings force developments leading to its improvement. One of the ways is the creation of a Land Information System. A digital cadastral map is the main component of this system. The structure and information content of the map is presented, its differences from analogue maps are shown, and the process of map creation is described. A digital cadastral map can be the basis for additional thematic layers, successively converting it into a complex system for management of administrative units.

Bioenergy Crops as a Promising Alternative to Fossil Fuels in Louisiana: A Geographic Information System (GIS) Perspective

Rising greenhouse gas emissions are causing climate change, and the world’s focus has shifted to the need to reduce our reliance on fossil fuels. There has been a rise in the published literature on the utilization of crops for bioenergy production in Louisiana. However, very few scholarly documents have used Geographic Information Systems (GIS) to map the distribution of potential bioenergy crops in Louisiana. This study seeks to fill the void by evaluating the potential of bioenergy crops in Louisiana for energy production using GIS. Given this objective, the agricultural census data for 1999, 2009, 2019, and 2020 obtained from the U.S. Department of Agriculture were used in the analysis. The quantities of various crops produced in the state were loaded into an attribute table and joined to a shapefile using ArcGIS software. The symbology tool’s graduated option was used to create five maps representing each of the bioenergy crops in Louisiana. The findings of the GIS analysis show that some of the parishes, such as Franklin produced the most bushels of corn (13,795,416), Iberia produced the most tons of sugarcane (1,697,980), East Carroll produced the most bushels of soybean (8,237,991), Tensas harvested the most bales of cotton (80,898) and Avoyelles produced the most bushels of sorghum (630,694). The abundance and availability of crops as raw materials for energy production will translate into lower prices in terms of energy use, making bioenergy crops a promising alternative to fossil fuels. In addition, gasoline price data from 1993-2022 was obtained from U.S. Energy Information Administration. A regression model for the average annual gasoline price over the years was constructed. The results show that the average annual gasoline price variation with respect to years is statistically significant (p 0.05). This suggests that gasoline prices will generally rise despite a price drop over the years. The paper concludes by outlining policy recommendations in the form of assessing the availability and viability of other crop types, such as wheat, oats, and rice, for energy production in the state.

Water Runoff Estimation Using Geographical Information System (GIS) for Alrakhmah Basin Valley Northeast of Iraq

The lack of water resources in many regions is the main challenge for the human being and to extended investigations. Water resources controlling and management is essential in the areas depending on the seasonal rainfall. This research aims to estimate the surface water runoff for Basin of Alrakhmah Valley located in the southwestern part of Kirkuk Province in northeastern of Iraq. Analyzing of Spatial data and Digital Elevation Model (DEM) data has been conducted using Geographic Information System (GIS) to estimate the hydrological properties for the watershed valley with 158.5 km2 surface area. The results showed that watershed valley type is from the fifth rank with a longitudinal shape and topography percentage of 0.568. The watershed textures found to be 3.24 and the drain density 1.5 at 3.49 river branching. Finally, the annual estimated surface water retreat according to the morpho-hydro climatic elements found to be 0.01286233 milliard cubic meter.

基于GIS的青岛市绿地景观生态格局与网络构建

定量化研究绿地景观生态格局和网络构建能够为城市绿地系统和国土空间的科学规划提供理论依据与方法支撑。研究基于无线电高空测候(RS)和地理信息系统(GIS)技术,运用总体景观生态格局分析和梯度分析方法,选取12个景观指数,对沿海城市——青岛市的绿地景观生态格局从斑块类型水平和景观水平两方面进行了定量研究。结果表明:斑块类型水平上,区域绿地以大型斑块为主且占优势地位,防护绿地以大中型斑块为主,二者虽空间分布不均匀,但生态效益较好;附属绿地以中小型斑块为主,缺乏大面积绿地建设,景观破碎度高但符合公众游憩需求;公园绿地以小型斑块为主且数量较少,在城区集中分布。景观水平上,城市绿地景观类型较齐全,但整体破碎度高,中部地区景观破碎度高,南部与中北部地区绿地类型多样,景观破碎度高且景观形状较复杂。在此基础上,进而分析了青岛城市绿地景观生态格局存在的问题,提出了“一轴、三核、廊汇成网、节点密布”的城市绿地生态网络优化与构建方案,以提高各类城市绿地连接度水平,发挥绿地生态系统的整体效益。

Locating Global System for Mobile Communication(GSM)Base Stations Using Geographic Information System(GIS)

The global system for mobile communication(GSM)is planned to meet the needs of the whole subscribers.The number of subscribers increased as the population increased due to the acceptance of GSM services by the subscribers.Thus,there should be a way to monitor base stations that will meet the increasing demand of subscribers in any area as a population surge will lead to more subscriptions.This will allow GSM network operators to serve their subscribers better and ease network congestion.This work presents a review of mobile evolution from the first generation to the fifth generation.A review of global positioning system(GPS)technology and its applications to geographic information systems(GIS)was done.The coordinates of these base stations were taken using a GPS device.These base station coordinates were then exported to QGIS for the design of the map.Thereafter,the output map was then integrated into the website.The discussions on the results followed and some useful suggestions given will go a long way to help the operators of GSM in Nigeria and in general.If the propositions given are adhered to,it will go a long way to help the operators reduce congestion on their network and thereby increase the satisfaction of the subscribers.

交叉学科视角下的“人文社会GIS”课程教学探索

人文社会地理信息系统(geographical information system, GIS)源于人文科学、社会科学和地理信息科学等多个学科的交叉融合,属于自然科学与人文社会科学的学科交叉领域.本文依托南京师范大学长期开展地理信息科学与人文社会科学交叉融合的科研和教学成果,系统分析了人文社会GIS的交叉学科特性,提出了人文社会GIS的内涵和知识体系,设计了“人文社会GIS”课程的创新教学模式,形成了有代表性的学科交叉课程教学实践案例,对于开展“新工科”和“新文科”背景下的交叉学科研究和复合型人才培养具有较好的参考价值.

基于GIS的灌区土壤投入品残留污染监测预警系统

为了解决工业发展导致的灌区土壤投入品残留污染问题,给出一种基于地理信息系统(geographic information system,GIS)的土壤污染监测预警系统。该系统结合VOC-PF1型传感器、STM32主控芯片和GSM通信模块,实现了高效的数据采集和通信功能。通过反距离加权(inverse distance weighted,IDW)插值法进行空间分析,并设立预警阈值,实现对灌区土壤投入品残留污染的实时监测和预警。实验结果表明:该系统的监测精度高达98%,监测时长最高为49 s,具有很高的实用性和效率。研究结果不仅为灌区土壤投入品残留污染监测提供了有效手段,也为环境保护和农业可持续发展提供有力支持。

基于GIS的历史文化街区应急疏散能力可视化评估研究

为评估历史文化街区在旅游高峰期的应急疏散能力,探究街区的应急疏散风险区域。研究从点-线-面的角度出发,考虑行人特征因素、街巷路网因素和建筑结构因素,构建应急疏散能力评价模型。采用ANP-EWM综合评估方法确定各因素权重值,应用GIS技术进行因素可视化分级处理。在此基础上,采用空间分析方法,对单因素分级分析赋权重后进行加权叠加处理,得到历史文化街区应急疏散能力的可视化数据。以西安回民街为例进行实证分析,探究街区应急疏散能力风险区域。研究结果表明:所构建模型可以实现对研究区界的应急疏散能力可视化分级评估,反映回民街不同等级疏散风险情况。研究结果可为景区应急疏散与制定安全管理措施提供参考。

沙特NEOM隧道项目BIM与GIS关键技术研究

利用数字仿真模拟方法,在保障施工安全的基础上优化爆破方案。提出了大断面隧道大孔距设计的理论方法,有效控制隧道断面和保留岩体的损伤,并降低成本。通过模拟二维、三维路线的联动,可以对比剖切地质体,按里程桩号实时查询地质体产状及地质风险信息,根据围岩等级对施工方案进行分析,辅助施工决策。通过将项目的BIM模型接入GIS数据平台,可以将地质超前预报的信息与项目进度进行动态关联。采用BIM4D进度管理手段,采用BIM技术和数字化手段管理项目的计划和进度,帮助项目在高质量的基础上合理压缩工期,达到降本增效的目的。

基于GIS的湖南省水土保持服务功能重要性时空分布特征

[目的]探讨湖南省水土保持服务功能的时空变化规律,旨在为湖南省水土保持服务功能评估及制定区域生态综合治理方案提供科学依据。[方法]选择NPP植被净初级生产力、DEM高程、土壤质地分布3个因子,采用NPP定量指标评估模型,通过ArcGIS开展了湖南省2000,2005,2010,2015,2020年水土保持服务功能的时空分布特征的研究。[结果]①湖南省2000—2020年植被净初级生产力平均值为4.39~334.52 g/(m^(2)·a)(以C计)之间,在时间上呈上升趋势。在空间上,植被净初级生产力平均值呈现中间较高且向四周递减的变化趋势;海拔高程介于-12~2081 m之间,呈现西高东低的趋势,西部区域起伏较大,东部区域相对平缓;坡度介于3.3°~76.7°之间,呈现西高东低的趋势;土壤可蚀性值介于0.011~1.411之间,土壤可蚀性呈现中间低四周高的趋势,由中心区域向四周扩散并提高。②湖南省2000—2020年水土保持量介于8.75~185.97 t/hm^(2)之间,在时间上呈上升趋势,在空间上以一般重要区和重要区为主,一般重要区面积随时间变化呈下降趋势,重要区面积随时间呈上升趋势,极重要区面积随时间呈下降趋势。水土保持服务功能随时间由一般重要区、极重要区向重要区过渡。[结论]植被净初级生产力呈上升趋势,是导致水土保持服务功能上升的主要原因。

基于GIS的空间TOPSIS模型的安徽省休宁县滑坡易发性评价

文章在常规TOPSIS(technique for order preference by similarity to ideal solution)模型的基础上提出空间TOPSIS模型,以安徽省休宁县为例,采用地理信息系统(geographic information system,GIS)技术对安徽省休宁县的滑坡易发性进行评价。研究表明:基于GIS的空间TOPSIS模型的滑坡易发性评价,能够处理和分析滑坡评价因子以及滑坡易发性的空间变化特征;评价结果与休宁县境内已经发生滑坡的空间分布较为吻合,评价结果较好。基于GIS的空间TOPSIS模型在滑坡易发性评价中具有较好的适用性。

基于GIS的林业调查技术研究

随着地理信息系统(GIS)技术的不断发展和应用,基于GIS的林业调查技术在林业资源管理、生态环境保护、林火监测和森林病虫害监测等方面得到了广泛应用。该文通过概述GIS的基本概念和定义,介绍了GIS在林业调查中的应用重要性和现状,并总结了林业调查中常用的GIS技术,比如,遥感、GPS和DEM技术。同时,通过实际案例阐述了GIS在林业调查中的应用技术,并探讨了GIS在林业调查中的优势和挑战。最后,提出了加强技术研究和应用推广的建议,以促进GIS在林业调查中的进一步应用和发展,实现更科学、可持续的林业资源管理和保护。

GIS技术在洪水灾害中的应用研究综述

地理信息系统(GIS)是一种专用于处理地理和空间信息的计算机系统。当前,随着计算机技术的逐渐成熟,GIS技术的空间分析等特点对于水资源的规划与管理有着重要的研究意义,其中在洪水灾害中的应用是近年来研究发展的一个重点。通过GIS技术建立洪水模拟模型,进行预测预警,以此为防洪抗涝提出更加科学的决策建议,降低频发的洪涝灾害事件所带来的损失。该文针对其在洪水灾害中的预测、风险图绘制、模型建立及避险路线进行评述,提出当前存在的问题,并对今后GIS在洪水灾害中的应用进行展望。

基于GIS+BIM的地铁工程实景三维可视化关键技术及应用

针对地铁工程项目可视化管理中存在的模型精细化不足、数据集成与展示不充分及真实性欠缺等问题,本研究提出了利用GIS和BIM技术作为解决方案,提升地铁工程实景三维建设的效果。首先研究构建了地铁工程实景三维平台的建设框架,分析了数据集成与融合、动态层次加载、模型轻量化与显示等关键技术。随后以深圳地铁14号线工程为案例,进行了实景三维可视化平台的建设与功能应用。案例涵盖了工程建设管理图、空间分析可视化、多视角场景漫游及BIM可视化与属性查询等内容,实现了地铁工程项目多源异构数据与模型的集成,提供了多尺度的实景三维可视化展示,为项目管理与决策提供了有力支持。

基于GIS格网模型的广州市土地生态安全格局演化

以公里格网为评价单元,构建基于PSR-NES(压力-状态-响应和经济-环境-社会)模型的土地生态安全测度指标体系,运用突变级数法动态识别2010—2020年广州市土地生态安全格局。结果表明:广州土地生态安全水平空间异质性较为明显,整体呈现“中间低,四周高”的分布格局;2010—2020年,广州市土地生态安全水平先下降后提高,其中,北部生态涵养区土地生态安全水平呈下降趋势,南部生态调节区土地生态安全状况逐渐好转,中部建成区土地生态安全状况不容乐观。未来城镇扩张应尽量避免侵占土地生态安全水平较高的区域,可通过分区治理,科学布局生产、生活、生态空间,优化产业结构,加强生态用地保护力度等措施持续改善土地生态安全状况。

基于GIS的城市扩张监测与驱动力分析

准确的城市建设用地信息,能够反映城市扩张的动态变化,对于提供决策指导城市化建设和规划具有非常重要的意义。本文以南昌市作为研究区域,选取2000年、2010年、2020年三期30m全球地表覆盖数据(GlobeLand30)影像数据作为主要数据源,利用土地利用转移矩阵模型对城市用地变化情况的变化量和动态度进行定量分析,利用扩张指数模型等研究了南昌市20年间的扩张面积、速度、强度、紧凑度、分形维数、重心转移距离和扩张方位等,对城市扩张的驱动力进行了定性分析,并利用灰色关联分析法进行了定量分析。结果表明,南昌市经济和人口因素与城市扩张显著相关,研究内容在土地管理与合理利用土地、城市发展和规划以及城市的健康发展方面为管理部门提供了支持。