洪水灾害风险评价研究综述

洪水灾害是当今世界最严重的自然灾害之一，带来了巨大的人员伤亡和经济损失。洪水灾害风险评价是科学有效地防洪减灾的前提和基础。文章对洪水灾害风险相关概念进行了界定，从气象、水文水力、社会经济、遥感与GIS和土地利用5个方面对洪水灾害风险评价的常用方法进行了评述，并列出了常用的评价因子。最后指出了未来研究的可能发展方向。     

环境遥感用于监测秸秆焚烧、沙尘、水华

秸秆焚烧是农作物秸秆被当作废弃物焚烧,会对大气环境、交通安全和灾害防护产生极大影响。利用环境卫星、MODIS等卫星数据,可以开展秸秆焚烧遥感监测,为环境监察工作提供有效技术手段。自2009年起,每年夏秋两季,环境保护部都会对全国秸秆焚烧情况进行每日遥感监测,并及时通过环境保护部网站向全社会公布监测结果。     

干旱区绿洲土地覆盖变化遥感应用研究--以新疆于田绿洲为例

从人地关系理论出发以土地利用变化为切入点通过野外调查和遥感动态监测对干旱区绿洲土地覆盖变化规律进行了研究.在考察数据和对遥感图像的分类结果的评价的基础上对干旱区绿洲土地利用/土地覆盖空间动态变化进行规律性分析提出只有协调人地关系、加强区域地理建设才是使干旱区绿洲地区避免荒漠化的唯一道路.     

遥感技术在灾害监测中的应用

介绍总结了近年来遥感技术在灾害监测中的应用与进展，以若干应用实例阐明了遥感技术在实现对自然灾害进行宏观、实时、动态、连续监测中不可替代的作用；在对我国灾害遥感的应用现状进行了分析之后，发现灾前预测工作有所不足；指出遥感技术将进一步同地理信息系统技术和全球定位系统技术相结合，在防灾减灾工作中发挥愈来愈重要的作用。     

基于RS和GIS的汶川地震极重灾区生态恢复监测——以都江堰市为例

"5.12"汶川地震造成灾区尤其极重灾区严重的生态破坏。论文以都江堰市为例,利用遥感(RS)和地理信息系统(GIS)等手段对震害区土地利用/植被覆盖变化进行监测,对动态变化进行定量分析,得到都江堰市地震生态受损及灾后两年生态恢复信息,并结合DEM对变化信息进行空间分析,研究灾害发生、生态恢复与坡度的相关关系,从而为灾区生态环境的恢复重建和保障生态安全提供借鉴和依据。     

从水利灌溉谈西宁市南北两山生态治理

西宁市位于湟水河谷,其南北两山水土流失面积大而严重,灾害频繁,暴雨、洪水和泥石流灾害时有发生。绿化南北山改善生态环境的任务十分艰苦。"五库四山"灌溉工程是实现南北山绿化的关键性工程措施,对推动南北两山生态治理具有重要意义。文章从水利灌溉工程建设的角度对加强西宁市南北两山生态治理进行了阐析。     

2013年洪水灾害后大伙房水库的水质变化情况分析

主要论述了2013年大伙房水库的水质现状及洪水灾害后大伙房水库的水质变化情况,并与非洪水发生年份(2010年至2012年)进行比较,进一步确定总磷是洪水之后水质变化的主要因子,简要分析了洪水灾害后影响水质的污染物来源。     

青海湖流域植被光谱采集技术方法及光谱分析

遥感监测是目前植被监测中的主要技术手段,也是植被生长监测中的重要手段。而结合实测地物光谱曲线是关键点之一。地物光谱把模型、遥感图像与地表观测放在一起,并建立关联联系,为遥感基础研究与遥感应用的衔接建立了一条纽带。文章结合青海湖流域的地理位置和气候特征,总结出适用于青海湖流域的光谱采集方法也显得尤为重要。而对所采集的光谱数据提取光谱特征参数,可以更好地了解青海湖流域不同草地类型的光谱特征,从而在实际应用中更好地利用这些特征。     

秦皇岛海岸侵蚀动态研究

利用不同时期的地形图、遥感图片对比,并选取典型海岸岸滩监测剖面实测数据,对海岸侵蚀现状进行了分析和定量计算。分析结果显示,秦皇岛海岸全线处于侵蚀状态,平均蚀退率1.5～4 m/a,根据蚀退率可将秦皇岛海岸划分为严重侵蚀、强侵蚀、侵蚀、微侵蚀、稳定5种岸线侵蚀类型。     

基于RS和GIS技术的重庆市主城区扩展分析

采用重庆市主城区2000年和2010年两个时相的TM影像提取城市扩展信息,对影像数据的归一化建筑指数（NDBI）、归一化植被指数（NDVI）和归一化水体指数（NDWI）进行RGB组合增强,再进行决策树分类和减法运算获取研究区扩展信息,发现建筑区面积增加了1.62倍,大部分是由植被区转变而来。其扩张方向受地理影响,南北方向为外延型,东西方向为飞地型。借助统计资料进行精度验证和城市扩展的驱动因素分析发现,区域发展政策、经济增长和人口扩张是主要的影响因素,探讨了对经济增长、城市扩张和人口增长的关系。研究结果表明,以遥感手段监测与研究城市发展变化的趋势是可行和高效的。     

1956--2005年上海气象灾害时空变化分析

根据上海市历史气象灾害资料,对1956---2005年上海5种气象灾害的时空变化特征进行了分析。结果表明：①从时问变化来看,气象灾害年际变化呈波动上升趋势;从各灾种来看,1956--1985年影响上海的5种气象灾害发生的次数基本均衡,而1986—2005年暴雨洪涝和大风两种灾害成为影响上海的主要气象灾害。②从空间变化上看,浦东新区和崇明县为气象灾害高发区,而闵行区和金山区为低发区;对各灾种来说,除暴雨洪涝的发生次数和频度在市区最高外,其余4种气象灾害均是在浦东新区最高,而暴雨洪涝是各区发生次数和频度最高的,龙卷风则是最低的。     

秦皇岛雷暴天气的时空尺度分布与雷电灾害分析

利用2003-2012年3～10月秦皇岛地区5个气象站雷暴监测和雷电灾害资料,采用数理统计、天气综合分析方法,得出秦皇岛地区雷暴天气的时空尺度分布特征为：全区年雷暴发生频次总体上呈递减趋势,其中,2005年35次,2008年33次,2012年20次;6月份为全年雷暴发生的峰值时段,7月、8月次之,且与秦皇岛本地主汛期相吻合;在海岸带地区由于受海洋条件影响,个别年份雷暴最早出现在2月份,最晚出现在11月中旬;雷暴天气的日时段主要出现在下午至傍晚,占70%,夜间占20%,其他时段为10%;北部山区的雷电频次大于沿海地区,对应电力、化工等行业雷电灾害呈下降趋势,但是通讯、计算机、家电等弱电系统雷击事件呈递增趋势。     

RUNOFF PREDICTION USING REMOTE SENSING IMAGERY1

ABSTRACT: Percent imperviousness is an important parameter in modeling the urban rainfall-runoff process and is usually determined using manual methods such as random sampling or conventional accounting methods. In this study two computerized methods are used for estimating the percent imperviousness of urban watersheds using high altitude remote sensing imagery. These methods include the Laser Image Processing Scanner and the Video-Tape Camera system. Imperviousness is directly estimated in the former method while in the latter it is estimated as a function of the statistics of the responses on emulsions of the imagery. The percent imperviousness computed by utilizing remote sensing imagery was used with the conceptual models of rainfall-runoff models. The models were applied to four urban watersheds and the runoff prediction results indicate that imperviousness determined by using remote sensing imagery was as accurate as that obtained by the manual methods, and that the use of remote sensing imagery requires significantly less time and money.     

The use of Landsat multispectral scanner data for the analysis and management of flooding on the river Severn,England

Remote sensing has emerged as one of the major techniques for the analysis and delineation of large floods. This analysis can provide data invaluable for the hydrological management of large river systems. A need for information on the extent of floodplain inundation for the lower reaches of the largest river in the UK was met by a search through Landsat images of floods and the analysis of the best example recorded. Automated classification of the Landsat imagery of this flood on the river Severn in 1977 was used to provide estimates of the extent and spatial distribution of inundation. Flood images were generated using the Plessey IDP 3000 image processor, and the maps derived accorded well with aerial photography and qualitative flood information. Three distinct floodplain environments were delineated and flood images produced by different spectral bands compared. Specific questions prompted by flood hazard management and concerning the processes and extent of flooding were answered by the Landsat data analysis. Management of the flood risk of large rivers is expensive and remote sensing data is a relatively cheap and effective way of monitoring control works and providing data for the prediction of the effects of future hydrological works. Remote sensing is a practical way in which spatial information concerning the behavior of large dynamic systems can be obtained both quickly and relatively cheaply.     

Will Evolving Climate Conditions Increase the Risk of Floods of the Large U.S.‐Canada Transboundary Richelieu River Basin?

In spring 2011, an unprecedented flood hit the complex eastern United States (U.S.)–Canada transboundary Lake Champlain–Richelieu River (LCRR) Basin, destructing properties and inducing negative impacts on agriculture and fish habitats. The damages, covered by the Governments of Canada and the U.S., were estimated to C$90M. This natural disaster motivated the study of mitigation measures to prevent such disasters from reoccurring. When evaluating flood risks, long‐term evolving climate change should be taken into account to adopt mitigation measures that will remain relevant in the future. To assess the impacts of climate change on flood risks of the LCRR basin, three bias‐corrected multi‐resolution ensembles of climate projections for two greenhouse gas concentration scenarios were used to force a state‐of‐the‐art, high‐resolution, distributed hydrological model. The analysis of the hydrological simulations indicates that the 20‐year return period flood (corresponding to a medium flood) should decrease between 8% and 35% for the end of the 21st Century (2070–2099) time horizon and for the high‐emission scenario representative concentration pathway (RCP) 8.5. The reduction in flood risks is explained by a decrease in snow accumulation and an increase in evapotranspiration expected with the future warming of the region. Nevertheless, due to the large climate inter‐annual variability, short‐term flood probabilities should remain similar to those experienced in the recent past.     

Comparative Analysis of Inundation Mapping Approaches for the 2016 Flood in the Brazos River,Texas

Accurate and timely flood inundation maps serve as crucial information for hydrologists, first‐responders, and decision makers of natural disaster management agencies. In this study, two modeling approaches are applied to estimate the inundation area for a large flooding event that occurred in May 2016 in the Brazos River: (1) Height Above the Nearest Drainage combined with National Hydrograph Dataset Plus (NHDPlus‐HAND) and (2) International River Interface Cooperative — Flow and Sediment Transport with Morphological Evolution of Channels (iRIC‐FaSTMECH). The inundation extents simulated from these two modeling approaches are then compared against the observed inundation extents derived from a Landsat 8 satellite image. The simulated results from NHDPlus‐HAND and iRIC‐FaSTMECH show 56% and 70% of overlaps with the observed flood extents, respectively. A modified version of the NHDPlus‐HAND model, considering networked catchment behaviors, is also tested with an improved fitness of 67%. This study suggests that NHDPlus‐HAND has the potential for real‐time continental inundation forecast due to its low computational cost and ease to couple with the National Water Model. Better performance of NHDPlus‐HAND can be achieved by considering the inter‐catchment flows during extreme riverine flood events. Overall, this study presents a comprehensive examination made of remote sensing compared with HAND‐based inundation mapping in a region of complex topography.     

防洪救灾遥感信息系统的研制与应用

为防洪救灾及科研领域的应用,由中科院、水利部等共同研制了防洪救灾遥感信息系统,由信息获取、信息传输、信息处理三部分组成,具有全天候工作、图象实时传输、灵活机动、覆盖面积大、快速评估等功能,在1994年、1995年、1996年的防洪振灾中发挥了重大作用。     

Aerospace wetland monitoring by hyperspectral imaging sensors: a case study in the coastal zone of San Rossore Natural Park

The San Rossore Natural Park, located on the Tuscany (Italy) coast, has been utilized over the last 10 years for many remote sensing campaigns devoted to coastal zone monitoring. A wet area is located in the south-west part of the Natural Park and it is characterized by a system of ponds and dunes formed by sediment deposition occurring at the Arno River estuary. The considerable amount of collected data has permitted us to investigate the evolution of wetland spreading and land coverage as well as to retrieve relevant biogeochemical parameters, e.g. green biomass, from remote sensing images and products. This analysis has proved that the monitoring of coastal wetlands, characterized by shallow waters, moor and dunes, demands dedicated aerospace sensors with high spatial and spectral resolution. The outcomes of the processing of images gathered during several remote sensing campaigns by airborne and spaceborne hyperspectral sensors are presented and discussed. A particular effort has been devoted to sensor response calibration and data validation due to the complex heterogeneity of the observed natural surfaces.