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1.
将GIS技术引入洪涝灾害风险评估，可以弥补传统方法评估结果空间化显示不足的缺点。本文针对浙江省洪涝灾害的发生特点，从危险性和易损性两方面选择了浙江省洪涝灾害的影响因素，包括降雨量、地形、河网密度、人口密度和耕地百分比等因子。运用GIS空间分析技术对各因子进行空间化，结合层次分析法（AHP）确定各影响因素的权重，进行浙江省洪涝灾害风险评估和制图，并基于SuperMap iObjects平台设计与开发了浙江省洪涝灾害风险评估系统。研究结果表明：浙江省发生洪涝灾害的风险普遍偏高，高风险区域位于浙北和浙东南的沿海地带，较高风险区域位于浙东、浙南和浙北地区及金衢盆地中间地区，中等风险区位于浙南的西面、浙北及浙西地区。本文分析结果可为浙江省洪涝灾害预防和管理提供决策依据。 相似文献
2.
Peter Caccetta Simon Collings Andrew Devereux Kassell Hingee Don McFarlane Anthony Traylen 《International Journal of Digital Earth》2016,9(5):457-475
This paper describes the development of a system for decimetre-scale monitoring of land-surface and land-cover in urban and peri-urban environments. We describe our methodology that comprises the application of highly automated processing and analysis methods to digital aerial photography. The approach described in this paper addresses a monitoring need by providing the ability to generate change information at a spatial resolution suitable for urban, peri-urban and coastal areas, where an increasing percentage of the worlds’ population dwells. These areas are dynamic, with many environmental issues associated with planning, service provision, resource management and allocation, as well as monitoring regulatory compliance. We present a system based on standardised data and methods, which is able to track and communicate changes in features of interest in a way that has not been previously possible. We describe the methodology and then demonstrate its feasibility by applying it to geographic areas of planning and policy relevant size (the order of tens of thousands of square kilometres). We demonstrate the approach by applying it to the problem of urban forest assessment. 相似文献
3.
《International Journal of Digital Earth》2013,6(3):291-303
Abstract The southern part of the Caspian Sea shoreline in Iran with a length of 813 km has different topographic conditions. Owing to sea fluctuation, these zones have various dimensions in different times. During the last years, the Caspian Sea experienced enormous destructive rises. The historical information and tidal gauge measurements showed different ranges of sea rise from ?30 m to ?22 m from the mean sea level. On the other hand, the probable flooding zone is related to slope gradient of coasts. To help the determination of the probable flooding area owing to sea level rises, the coastal zones can be modelled using geographic information system (GIS) environment as vulnerability risk rates. These rates would be useful for making decisions in coastal management programs. This study examined different scenarios of sea rise to determine hazard-flooding rates in the coastal cities of the Mazandaran province and classified them based on vulnerability risk rates. The 1:2000 scale topographic maps of the coastal zones were prepared to extract topographic information and construct the coastal digital elevation model. With the presumption of half-metre sea rise scenarios, the digital elevation models classified eight scenarios from ?26 to ?22 m. The flooding areas in each scenario computed for 11 cities respectively. The vulnerability risk rate in each rise scenario was computed by dividing the flooded area of each scenario to city area. The results showed that in the first four scenarios, from ?26 to ?24 m, the Behshahr, Joibar, Neka and Babolsar cites would be more vulnerable than other cites. Moreover, for the second four scenarios from ?24 to ?22 m sea level rise scenario, only the coastal area of Chalous city would be vulnerable. It was also observed that the coastal region of Behshahr would be critical in total scenarios. Further studies would be necessary to complete this assessment by considering social-economic and land use information to estimate the exact hazardous and vulnerable zones. 相似文献
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5.
《制图学和地理信息科学》2013,40(3):158-160
Political leaders continue to reaffirm citizens' right to know about possible health hazards from industrial facilities located in their neighborhood. Yet, due to the complexity of conventional risk characterizations, it is extremely difficult for the average citizen-activist to discern the relative risk posed by local hazard sources. This paper describes the development of a comparative measure of risk for industrial facilities in South Carolina. Using Toxic Release Inventory (TRI) data, the paper provides a methodology for conducting comparative risk assessments for individual facilities and communicating these risks to the general public. The risk visualization tool was developed using geographic information systems (GIS) and digital cartography. The prototype (South Carolina Toxic Risk Atlas) is a static web-based tool that is now in a testing and feedback stage (http://www.cla.sc.edu/geog/hrl/sctrap/index.htm). 相似文献
6.
V. B. Rekha A. P. Thomas M. Suma H. Vijith 《Journal of the Indian Society of Remote Sensing》2011,39(1):63-71
The importance of groundwater is growing based on an increase in need and decrease in the availability of fresh surface water
sources and adequate rainfall. Remote Sensing and Geographic Information System (GIS) has become one of the leading tools
in the field of hydrogeological science, which helps in assessing, monitoring and conserving groundwater resources. This paper
describes the results of a groundwater potentiality and quality assessment conducted in Koduvan ár sub-watershed of Meenachil
river basin, Kottayam district of Kerala state, in the Republic of India. Shallow groundwater is the main source of drinking
water in urban and rural areas, but reliable spatial data on its potentiality and quality are currently insufficient for developing
the water-supply systems with standard designs. The methodology used in the present study includes an integrated approach
of remote sensing and GIS for the construction of groundwater potentiality map and the assessment of water quality of identified
wells. Different spatial data layers such as, geomorphology, lithology, slope and land use/ land cover are generated and the
interrelationship between these layers were analyzed to identify and assess the groundwater potentiality of the area. The
final result depicts the favourable prospective zones in the study area with its quality parameters and can be helpful to
formulate recommendations to reduce the water scarcity and quality risks for public health. 相似文献
7.
由于信息技术的快速发展和开发工具的日趋成熟,影响管理信息系统开发成功的瓶颈已不再是以技术为主的问题,而更多的是以人为主的风险管理问题。本文主要从风险识别与评估、风险应对与监控、风险回顾与改进这四个方面,阐述了北京市测绘设计研究院设备管理信息系统开发项目的风险管理经验,证实了准确识别和评估项目所面临的风险并进行有效应对和监控,是提高项目成功率的有效手段。 相似文献
8.
Simone Fiaschi Serena Tessitore Roberta Bonì Diego Di Martire Vladimiro Achilli Sven Borgstrom 《地理信息系统科学与遥感》2017,54(3):305-328
Land subsidence due to underground resources exploitation is a well-known problem that affects many cities in the world, especially the ones located along the coastal areas where the combined effect of subsidence and sea level rise increases the flooding risk. In this study, 25 years of land subsidence affecting the Municipality of Ravenna (Italy) are monitored using Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques. In particular, the exploitation of the new Sentinel-1A SAR data allowed us to extend the monitoring period till 2016, giving a better understanding of the temporal evolution of the phenomenon in the area. Two statistical approaches are applied to fully exploit the informative potential of the A-DInSAR results in a fast and systematic way. Thanks to the applied analyses, we described the behavior of the subsidence during the monitored period along with the relationship between the occurrence of the displacement and its main driving factors. 相似文献
9.
研究城市雨洪风险问题，对提高城市洪涝灾害监测、预报的准确性，以及促进城市防洪决策制定具有重要的意义。鉴于高精度的城市三维模型可以提供丰富地理信息，便于准确分析淹没情况，本文针对当前城市洪涝模型对地形数据的高敏感性，且雨洪风险评估研究的准确性受限于地形数据精度的问题，提出利用无人机倾斜摄影测量技术重建高精度实景三维模型，并结合GIS的空间分析功能，以淹没深度为关键指标进行研究区的雨洪风险评估。通过提取不同重现期下研究区的淹没深度信息，进行可视化渲染实现三维淹没分析，可以直观地看到研究区的淹没情况，作为暴雨内涝风险管理依据，同时对城市规划布局有一定的参考价值。 相似文献
10.
本文首先采用基于多准则决策的层次分析评价法,根据自然灾害风险理论,将洪涝风险影响因子分为危险性和脆弱性两类,子准则层包括平均降雨量、汇流累积量、坡度、海拔和土地覆盖度、道路级别、地表产流能力7个因子,构建了道路洪涝灾害风险评价模型。然后以福建省武夷山地区为研究区,利用地形数据、气象数据及遥感影像提取土地覆盖类型数据,通过道路洪涝灾害风险评价模型,绘制了道路风险分区图。结果表明,中、高风险积水道路占比较高,主要集中在东部、西部和中南部地区。本文对道路洪涝灾害风险所进行的评价,可服务于洪涝灾害风险预警和应急救援规划。 相似文献
11.
Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery 总被引：1，自引：0，他引：1
Donglian Sun Sanmei Li Wei Zheng Arie Croitoru Anthony Stefanidis Mitchell Goldberg 《International Journal of Digital Earth》2016,9(5):427-441
In this study, we present an approach to estimate the extent of large-scale coastal floods caused by Hurricane Sandy using passive optical and microwave remote sensing data. The approach estimates the water fraction from coarse-resolution VIIRS and ATMS data through mixed-pixel linear decomposition. Based on the water fraction difference, using the physical characteristics of water inundation in a basin, the flood map derived from the coarse-resolution VIIRS and ATMS measurements was extrapolated to a higher spatial resolution of 30 m using topographic information. It is found that flood map derived from VIIRS shows less inundated area than the Federal Emergency Management Agency (FEMA) flood map and the ground observations. The bias was mainly caused by the time difference in observations. This is because VIIRS can only detect flood under clear conditions, while we can only find some clear-sky data around the New York area on 4 November 2012, when most flooding water already receded. Meanwhile, microwave measurements can penetrate through clouds and sense surface water bodies under clear-or-cloudy conditions. We therefore developed a new method to derive flood maps from passive microwave ATMS observations. To evaluate the flood mapping method, the corresponding ground observations and the FEMA storm surge flooding (SSF) products are used. The results show there was good agreement between our ATMS and the FEMA SSF flood areas, with a correlation of 0.95. Furthermore, we compared our results to geotagged Flickr contributions reporting flooding, and found that 95% of these Flickr reports were distributed within the ATMS-derived flood area, supporting the argument that such crowd-generated content can be valuable for remote sensing operations. Overall, the methodology presented in this paper was able to produce high-quality and high-resolution flood maps over large-scale coastal areas. 相似文献
12.
以福建九龙江口海岸带DEM数据构建为实例,介绍了基于ArcGIS软件综合陆域、海域以及海陆交界处干出滩数据,构建海岸带DEM并进行精度评估的方法。精度评估结果显示所构建的数字高程模型是满足国家DEM构建相关标准精度要求,从而为GIS在海岸带资源信息化综合管理中应用提供了技术支撑。 相似文献
13.
Mazlan Hashim Syarifuddin Misbari Amin Beiranvand Pour 《Journal of the Indian Society of Remote Sensing》2018,46(2):233-248
Integration of satellite remote sensing data and GIS techniques is an applicable approach for landslide mapping and assessment in highly vegetated regions with a tropical climate. In recent years, there have been many severe flooding and landslide events with significant damage to livestock, agricultural crop, homes, and businesses in the Kelantan river basin, Peninsular Malaysia. In this investigation, Landsat-8 and phased array type L-band synthetic aperture radar-2 (PALSAR-2) datasets and analytical hierarchy process (AHP) approach were used to map landslide in Kelantan river basin, Peninsular Malaysia. Landslides were determined by tracking changes in vegetation pixel data using Landsat-8 images that acquired before and after flooding. The PALSAR-2 data were used for comprehensive analysis of major geological structures and detailed characterizations of lineaments in the state of Kelantan. AHP approach was used for landslide susceptibility mapping. Several factors such as slope, aspect, soil, lithology, normalized difference vegetation index, land cover, distance to drainage, precipitation, distance to fault, and distance to the road were extracted from remotely sensed data and fieldwork to apply AHP approach. The excessive rainfall during the flood episode is a paramount factor for numerous landslide occurrences at various magnitudes, therefore, rainfall analysis was carried out based on daily precipitation before and during flood episode in the Kelantan state. The main triggering factors for landslides are mainly due to the extreme precipitation rate during the flooding period, apart from the favorable environmental factors such as removal of vegetation within slope areas, and also landscape development near slopes. Two main outputs of this study were landslide inventory occurrences map during 2014 flooding episode and landslide susceptibility map for entire Kelantan state. Modeled/predicted landslides with a susceptible map generated prior and post-flood episode, confirmed that intense rainfall throughout Kelantan has contributed to produce numerous landslides with various sizes. It is concluded that precipitation is the most influential factor for landslide event. According to the landslide susceptibility map, 65% of the river basin of Kelantan is found to be under the category of low landslide susceptibility zone, while 35% class in a high-altitude segment of the south and south-western part of the Kelantan state located within high susceptibility zone. Further actions and caution need to be remarked by the local related authority of the Kelantan state in very high susceptibility zone to avoid further wealth and people loss in the future. Geo-hazard mitigation programs must be conducted in the landslide recurrence regions for reducing natural catastrophes leading to loss of financial investments and death in the Kelantan river basin. This investigation indicates that integration of Landsat-8 and PALSAR-2 remotely sensed data and GIS techniques is an applicable tool for Landslide mapping and assessment in tropical environments. 相似文献
14.
近年来,风暴潮发生的频率逐年增加,给沿海地区造成巨大的经济财产损失,已成为影响沿海地区社会可持续发展的主要灾害。因此,实现快速的风暴潮风险区划等级评价,对于风暴潮灾害预测预警具有重要意义。本文以青岛地区为例,研究利用GIS分析方法进行风暴潮风险区划的等级评价,实现了风暴潮基础数据读取转换、风暴潮风险区划等级评价和风暴潮灾害预报产品制作一体化处理。 相似文献
15.
地图电子出版的彩色管理系统 总被引：2，自引：0，他引：2
地图电子出版是当前地图生产的发展方向。彩色地图出版，其色彩的复制又至关重要。本文首先论述了用于地图电子出版的彩色管理系统的发展过程及国际国内现状，在此基础上提出了要建立地图电子出版彩色管理系统必须解决的关键技术以及它应具备的主要功能。 相似文献
16.
《制图学和地理信息科学》2013,40(4):384-397
Island cartography deals with special cartographic problems confronted in the portrayal of island regions and demands the use of specially developed software tools. One of the most commonly faced problems is the need of inset map creation for very small islands, and sometimes isolated ones, that must be displayed in the main map. This paper presents the methodology followed for the development of the Inset Mapper (IM) Software toolbox, describes the toolbox, and showcases its ability to create inset maps in Island regions. The IM software tool provides a useful cartographic tool for assisting the selection of the most appropriate position and scale of the inset map in an Island region. 相似文献
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18.
Rico Vogel 《制图学和地理信息科学》2016,43(4):301-320
Extreme flood events often have adverse effects for people living near or within areas at risk. Reactivating morphological river floodplains for flood retention measures can substantially reduce flood wave peaks and the negative flooding consequences. This article accordingly focuses on a methodology for identifying suitable locations for such measures by spatial multicriteria evaluation (MCE). Compromise programming (CP) and the analytic hierarchy process (AHP) are core methodological components. Furthermore, this methodology is based on impact analysis and draws on expert knowledge. This article also deals with software tools that support the operationalization of methodological components. Data harmonization algorithms are implemented as geoprocessing tools. Both CP and AHP are designed as software providing graphical user interfaces (GUIs). While an extension integrates CP into a geoinformation system, AHP is realized as a web application enabling participation of expert practitioners. The methodological components are operationalized through an example on the floodplains of the German river Elbe. 相似文献
19.
《制图学和地理信息科学》2013,40(3):123-144
Geographic information system (GIS) applications for risk evaluation concerning environmental and ecological health are appearing with greater frequency. In this paper, we devise a conceptual framework for risk evaluation that encompasses and synthesizes several component frameworks (including risk scoping, risk communication, risk assessment (risk analysis), risk management, and risk monitoring) concerning environmental health, and hence human and ecological impacts. The purpose of devising the framework was to understand better where, when, and how GIS might be used for risk evaluation, and to identify gaps in knowledge requiring further research. An examination of 40 publications shows that most of the research done on the use of GIS for risk evaluation concerned applications in risk assessment rather than risk scoping, management, and risk monitoring. A four-level risk assessment framework is proposed, and criteria for evaluating the work are used to clarify what has been accomplished overall and where research opportunities exist. Future directions for the application of GIS in risk evaluation are suggested. 相似文献
20.
Eduardo Eiji Maeda Antonio Roberto Formaggio Yosio Edemir Shimabukuro Gustavo Felipe Balué Arcoverde Matthew C. Hansen 《International Journal of Applied Earth Observation and Geoinformation》2009
The presented work describes a methodology that employs artificial neural networks (ANN) and multi-temporal imagery from the MODIS/Terra-Aqua sensors to detect areas of high risk of forest fire in the Brazilian Amazon. The hypothesis of this work is that due to characteristic land use and land cover change dynamics in the Amazon forest, forest areas likely to be burned can be separated from other land targets. A study case was carried out in three municipalities located in northern Mato Grosso State, Brazilian Amazon. Feedforward ANNs, with different architectures, were trained with a backpropagation algorithm, taking as inputs the NDVI values calculated from MODIS imagery acquired during five different periods preceding the 2005 fire season. Selected samples were extracted from areas where forest fires were detected in 2005 and from other non-burned forest and agricultural areas. These samples were used to train, validate and test the ANN. The results achieved a mean squared error of 0.07. In addition, the model was simulated for an entire municipality and its results were compared with hotspots detected by the MODIS sensor during the year. A histogram analysis showed that the spatial distribution of the areas with fire risk were consistent with the fire events observed from June to December 2005. The ANN model allowed a fast and relatively precise method to predict forest fire events in the studied area. Hence, it offers an excellent alternative for supporting forest fire prevention policies, and in assisting the assessment of burned areas, reducing the uncertainty involved in currently used methods. 相似文献