遥感信息复合技术在黄水河地下水库证论中的应用

采用遥感和常规手段多元信息综合分析的技术方法，系统论证了黄水河地下水库这一大型水利工程的区域环境、水源条件、建岸条件和环境后效问题，使工程设计有了新的提高。     

基于网络的扎龙湿地地理信息系统

从搜索和分析湿地信息入手,综合运用地理信息系统技术、网络技术、数据库技术,利用现有的技术成果和专家经验,建立了以湿地信息为主体的网络地理信息系统。重点研究了分布式环境下WebGIS的实现原理、方法,利用统一建模语言（UML）进行详细分析和设计,给出了一个基于分布式的WebGIS原型系统的具体思路和解决方案。     

植被指数在长江口潮滩湿地植被信息提取中的应用研究

以长江口崇明东滩湿地为研究区,分析了崇明东滩湿地实测反射光谱数据和Landsat TM地物反射波谱曲线,发现在近红外波段,植被的反射率差异最突出;在绿光波段,受水分影响较大的植被特征信息比较突出。在上述分析的基础上,选取9种典型的植被指数进行计算,提出了适合研究区植被信息提取的三波段比值植被指数TRVI。并且利用该指数,使用人工决策树分类方法,进行典型地物信息的提取,取得了满意的效果。     

城市河流滨岸带生态设计与修复研究

合理设计和修复一直是城市河流滨岸带生态环境保护中的关键科学问题,成为学术界和工程界关注的焦点。随着社会经济发展。人类开发河流流域过程中不科学行为给河流流域造成严重的生态破坏现象。城市河流的整治与其滨岸带重新设计显得尤为重要。文章依托当前我国河流滨岸带整体破坏的实际状况,从景观生态学角度,归纳河流滨岸带合理定位,提出生态修复与设计对策,实现整体生态系统的保护。研究成果可为我国城市河流滨岸带设计和修复提供参考。     

基于WEB的扎龙湿地GIS系统的建立

湿地信息系统是面向湿地管理的地理信息系统,由湿地相关信息组成的数据库以及收集、描述、处理这些数据的技术方法组成。该文对基于Web的湿地地理信息系统的理论技术与应用方面的问题进行了讨论,研究了基于WebGIS的扎龙地理信息系统建立的基本思路和方法,包括信息查询系统、信息发布系统等内容。     

遥感和地理信息系统技术在湿地研究中的应用

湿地研究的关键在于定量化获取和分析湿地信息,RS和GIS技术为湿地研究提供了新的方法和技术支持。从湿地资源调查、湿地识别和湿地分类、湿地动态变化监测、湿地制图、湿地与环境因素定量模型、湿地信息系统6个方面,对国内外学者利用RS和GIS进行湿地研究的工作进展予以回顾。在此基础上概要说明RS和GIS技术在湿地研究中存在的问题及发展前景,指出RS和GIS技术在湿地研究中的应用从拓宽研究领域和完善技术体系两方面向更高、更深层次发展。     

GPS在船岸信息交互中的应用

本文分析了GPS在船岸信息交互中的应用情况,针对存在的问题从业务流程、技术、管理等提出了改进思路。     

基于OpenGL的湿地洪水演进模拟仿真系统的研究

作为松嫩平原洪水资源利用与湿地生态环境3S 系统中一个重要的组成部分湿地洪水演进模拟仿真系统的研制是一项复杂的专题。通过对系统目标以及可视化需求的分析, 对开放式的国际图形标准OpenGL 进行了阐述, 并以GIS 技术为基础, 采用面向对象的编程语言VC ++ , 结合OpenGL 的编程环境来实现扎龙湿地地形、地貌和洪水演进动态模拟的三维可视化效果。     

VR技术在扎龙湿地三维洪水仿真系统中的应用

洪水可以补充湿地水源,但是如果利用不当,也会造成危害。因此将VR(虚拟现实)技术应用于扎龙湿地的洪水管理对于湿地的保护非常重要。使用VRML(虚拟现实建模语言)构建了湿地三维地形场景,采用水力学模型计算了扎龙湿地的洪水淹没数据,通过JavaApplet实现了基于网络的三维漫游、洪水信息查询、洪水淹没仿真等功能,建立了交互三维可视化仿真系统。结果表明,该系统可以取得较好的扎龙湿地三维显示效果,较准确地模拟洪水演进过程,对于湿地保护、湿地洪水管理与远程决策有着重要的意义。     

基于知识规则的洪泽湖湿地信息提取及动态变化研究

湿地是自然生态系统的重要组成部分。快速、准确地获取湿地基础信息,对湿地的动态监测、保护和可持续利用具有重要意义。本文利用知识规则分别提取出洪泽湖1988年10月25日和2002年11月9日两时相遥感影像的湿地信息,然后通过叠加分析比较了两个时相的湿地信息变化情况。研究发现,洪泽湖湿地植被在这14年间急剧减少,有待采取有效的措施进行保护。     

基于SPOT影像的水体信息提取以及在湿地分类中的应用研究

利用SPOT影像数据,对研究区进行遥感图像融合处理实验,探讨了基于SPOT影像的水体信息提取的方法,以及在湿地分类中的应用。     

长江感潮河段溢油风险评价体系构建及应用

长江感潮河段水动力条件复杂,对该水域溢油事故缺少相应的风险评价指标体系。为科学评价长江感潮河段溢油风险,从溢油事故对上游水体、敏感点、敏感区影响 3 个要素出发,构建风险评价指标体系,包括危害区特征、危害期特征共 23 个指标。应用该指标体系,基于 EFDC 二维水动力-油粒子模型,以长江南京段水域某码头溢油事故为研究对象,开展溢油风险评价,模拟计算涨急、落急、涨憩、落憩 4 种典型事故发生工况下的风险评价指标值。结果表明;事故发生在落急或涨憩时刻时不会对上游水域产生影响,发生在落憩时刻时对事故点上游水域影响距离最远,发生在落急时刻时将最快影响到下游的敏感点和敏感区,持续时间与水动力特性密切相关。建立的评价指标体系可以较为全面地刻画溢油风险影响特征,为长江感潮河段溢油风险评价提供量化指标和评价工具。     

Spatial sampling design for sediment quality assessment in estuaries

Unusual difficulties are encountered when characterizing the spatial distribution of the properties that collectively define the state of estuaries. Due to the variability of these estuarine conditions, greater sampling efforts are often necessary to describe estuarine environments, as compared to other aquatic systems. That is why in coastal management studies, where the collection of data is sometimes very difficult and time-consuming, a robust sampling strategy is essential. The aim of this study is to design a spatial sampling strategy for estuarine sediments, using prior information on the spatial variation of sediment granulometry. Systematic unaligned sampling with a grid cell size of 750×500 m was chosen on the basis of semi-variogram analysis, and was shown to have distinct advantages. This design was sampled for sediment parameters using a GPS-receiver and mapped within the digitized shoreline of the estuary. The estuary shoreline was digitized on the basis of aerial ortho-photography with tidal ebb determination. The sampling is intended to define the boundaries of environmental management areas for the Sado Estuary, situated on the west coast of Portugal. The research represents one of the initial phases in the development of a Sado Estuary environmental management system integrated into a Geographic Information System.     

基于无线传感器网络的湿地水环境数据视频监测系统

对湿地水环境监测技术的研究现状与进展进行了概述.提出了基于无线传感器网络的实时数据视频监测系统的设计方案,介绍了系统架构,并详述了基于ZigBee无线技术的数据监测节点、基于ZigBee无线技术和CDMA无线技术的数据视频基站、水环境数据和视频监测中心等各个部分的功能特点及设计方法.     

Testing the CORMIX model using thermal plume data from four Maryland power plants

Historical thermal plume studies from four Maryland power plants (Calvert Cliffs, Chalk Point, Dickerson, and Wagner) were used to test the realism of the CORnell MIXing Zone Expert System (cormix). Test data were from a wide range of challenging discharge environments, including a large freshwater river (Potomac), a narrow tidal estuary (Patuxent), a wide tidal estuary (Chesapeake Bay), and a wind-driven tidal estuary (Baltimore Harbor). Historical case studies were simulated, and results were compared qualitatively and quantitatively with historical measurements. Qualitative results show that the model performed optimally for simple discharges into large basins such as Chesapeake Bay. For complex discharges and complex ambient environments, the model often mixed plumes too rapidly, resulting in smaller modeled plumes that were cooler than the measured plumes. The mixing model also could not account for the re-entrainment of effluent from previous tidal cycles. Sensitivity results show that sensitivity is often dependent on model run time and discontinuities in the cormix flow classification scheme. Users of the cormix model need to be aware of these limitations in applying the model to complex situations. cormix results should be used with caution in evaluating the effects of a discharge and only in conjunction with information from the field.     

Changes in the wetland vegetation growth patterns in large lakes on the Yangtze Plain

In this study, the vegetation emergence times (VET), an important phenological characteristics, were obtained for 25 large lakes on the Yangtze Plain between 2001 and 2014. This was carried out by extracting the normalized difference vegetation index (NDVI) time series from the moderate-resolution imaging spectroradiometer (MODIS) data using a decision tree method. This is the first comprehensive documentation of the changes in temporal and spatial distribution in wetland vegetation phenology for large lakes on the Yangtze Plain. The results showed that considerable changes in the VET occurred in 25 wetland ecosystems in the Yangtze Plain. Specifically, 76% of the lakes showed delayed trends in the VET, and 32% of them were statistically significant (p < 0.05). In contrast, 24% of the lakes displayed advanced trends in the VET and 17% of them were statistically significant (p < 0.05) over the past 14 years. An analysis of the driving factors of VET revealed that a VET change was more sensitive to temperature and sunshine duration than to precipitation for most of the lakes. The temperature in 1–2 months before VET had great effect on the vegetation growth, while such a pattern was not evident for sunshine duration for 5 months before VET. Furthermore, the amounts of chemical fertilizers used in nearby farmlands have also played an important role in the vegetation growth for some of the lakes. This record of change in vegetation phenology provides critical information for wetland ecosystem monitoring in the Yangtze Plain.     

Progress of Chinese Coastal Wetland based on Remote Sensing

Coastal wetlands as a unique ecosystems with high productivity and abundant biology diversity,has many important resource values,ecological values,economic values and scientific research values.Due to the multi\|temporal,multi\|platform,macroscopic,objective,informative,real\|time,highly effective,comparable and so on,so the remote sensing technology has been gradually approved and widely promoted in coastal wetland research in the past three decades.Current status of coastal wetland research based on remote sensing technique in China was systematically discussed from multiple aspects,including remote sensing data sources,theories and methods,and the application of remote sensing technology to Chinese coastal wetland is reviewed from the aspects of coastal wetland resource investigation and management,landscape pattern and dynamic change,ecological environment monitoring,ecosystem quality and service evaluation.This paper also points out some shortcomings existed in Chinese coastal wetland research by remote sensing technology include the spatial and temporal distributions of the study area is uneven and dominated by small and medium scale,lack of interdisciplinary comprehensive research,focus on theoretical research and ignore application intelligent application of remote sensing technology,information sharing ability is poor,the improve of interpretation accuracy is difficulties.Related research prospects should be to carry out such as monitoring and mapping on all scale,strengthen the multidisciplinary collaboration,strengthen the comprehensive and comparative study,establish a unified classification system of coastal wetland based on remote sensing and the national coastal wetland information system,emphasis on the development of new remote sensing technology and fusion of multi\|source data,emphasis on the use of new methods and new models.