珠江流域碳酸盐岩与硅酸盐岩风化对大气CO_2汇的效应

对珠江流域11个测站的河水1个水文年4次取样进行水化学和同位素测试分析,揭示无论是碳酸盐岩区还是硅酸盐岩区,岩石风化均使河流的离子成分以HCO3-、Ca2+、Mg2+为主,碳酸盐岩风化溶蚀速率和由碳酸盐岩风化溶蚀引起的大气CO2消耗量分别为27.60 mm/ka和540.21x103mol/(km2·a-1),是硅酸盐岩风化速率和由硅酸盐岩风化引起的大气CO2消耗量的10.8倍和6.7倍,说明碳酸盐岩风化是流域碳汇过程及效应的主体。由于有利的水热条件和高的碳酸盐岩面积比例,珠江流域平均岩石风化速率和由岩石风化作用引起的大气CO2消耗量分别为30.15mm/ka和620.36×103mol/(km2·a-1),为全球60条河流平均值的2.6倍。     

大气CO2浓度时空变化卫星遥感监测的应用潜力分析

GOSAT卫星观测反演大气CO2浓度精度已经提高到了1—2 ppm,而卫星数据能否准确地揭示全球和区域大气CO2浓度变化特征还缺乏充分的评价与分析。本文针对已经连续运行观测3年的GOSAT卫星,收集了来自美国NASA-OCO团队(ACOS)和日本环境研究所GOSAT团队(NIES)基于各自算法反演的两套大气CO2柱浓度数据,描述并分析了全球大气CO2时空变化特征。分析结果表明,从XCO2反演的绝对值结果来看ACOS总体上比NIES的高出约2 ppm左右,但从时空的相对变化上它们揭示了相近的大气CO2浓度时空变化特征。两套数据显示出全球平均大气CO2浓度在2010年—2012年的3年期间年增量分别为1.8 ppm和2.0 ppm;季节变化幅度,北半球最大4—6 ppm,南半球最大约2 ppm,这与地面观测结果基本一致。进一步将EDGAR 4.2人为排放总量格网化数据与GOSAT卫星观测反演的CO2浓度进行相关统计分析,结果指出两套数据对人为排放量有着微弱的响应。本文结果指出目前GOSAT卫星观测反演的XCO2可以检测出全球和区域大气CO2浓度的年变化、季节变化和区域空间变化的特征;GOSAT卫星10.5 km空间分辨率的观测虽难于检测出点源的浓度变化,但从区域上对人为排放的累积效应的监测显示了一定的应用潜力。     

基于局部体样条函数的海洋盐度场建模

海洋盐度是海洋水文要素的重要组成部分,是海洋战场环境研究的重点。在介绍海水盐度数据特点的基础上,采用局部体样条函数法对散乱的大规模盐度场标量数据进行建模,并利用遗传算法和非线性规划相结合的方法解决体样条函数法的区域划分问题。通过一组实测数据进行建模实验并将得到的数据场进行可视化,表明该方法适用于大规模散乱数据场的建模,可为海洋战场环境的数据分析和场景构建提供建模手段。     

利用WorldView-2卫星影像数据生产高分辨率多光谱技术正射影像方法

阐述了在工作实践中利用WorldView-2卫星影像制作正射影像的基本工艺流程,着重分析卫片的融合、校正、影像镶嵌等处理环节中的方法,坐标的建立及转换,数据格式的转换等,以及此过程中遇到的问题,及在各个环节中的质量控制。     

基于嫦娥二号CCD数据的核线影像生成方法

对于缺少嫦娥二号激光数据问题,本文提出了基于RPC有理多项式系数(Rational Polynomial Coefficient)的嫦娥二号CCD影像的核线影像生成方法.它利用了嫦娥一号激光高度数据与嫦娥二号CCD影像控制点相结合的方法生成月面控制点,通过月面控制点建立正确的校正公式,获得分辨率较高的正射影像图,并在此基础上提取核线影像.     

基于智慧交通的可达性与交通出行碳排放——理论与实证

信息与通信技术的发展推动了智慧交通建设,并将进一步提高城市交通可达性和影响居民出行。在全球应对气候变化、减少碳排放的共识背景下,由于"智慧交通—可达性—出行行为(碳排放)"间复杂的影响作用机制,已有的研究难以判断智慧化背景下的城市交通可达性提高将增加抑或减少出行碳排放。如何通过提高城市交通可达性来缓解交通拥堵,保障城市交通运输系统的有效运行,并提高居民出行效率,减少出行碳排放是当前中国智慧交通发展面临的关键问题之一。针对以上科学问题,本文尝试提出基于智慧交通的可达性与交通出行碳排放的理论框架,并以广州为研究案例地,研究了社区居民通勤碳排放特征及其影响机理,社区出行低碳指数格局及其影响因素的空间异质性,以及基于碳排放—位置分配模型的公共中心规划支持系统设计与应用,可为今后的相关研究提供借鉴。     

利用卫星遥感技术估算区域性海-气CO_2通量研究综述

海-气CO2通量的估算是碳循环研究的重要内容。随着卫星遥感技术的发展和外推算法的不断改进,基于海表层水CO2分压的调控影响因子,在不同的海域发展了不同参数的海表p CO2遥感外推算法,获得了区域性多时空尺度长时间序列的海域碳"源-汇"时空变化特征。本文针对单参数算法、双参数算法和多参数算法的发展过程和存在问题,综述了主要海区海-气CO2通量遥感外推算法的研究现状,并评述了在南大洋和北极海域利用遥感算法进行海-气CO2通量研究的应用。     

大风山天青石矿深加工路径的机理剖析

本研究在掌握大风山天青石矿特性的基础上,对其深加工路径的选择和机理进行了分析,提出了火法-湿法联合冶金制备氢氧化锶的新工艺,并通过实验进行了验证。实验结果表明：通过集成“转底炉高效还原天青石、高压釜浸取耦合分离单质硫、重结晶提纯氢氧化锶”等技术能够实现天青石至氢氧化锶的高效、高纯、零污染生产,SrSO4到SrS的转化率能够达到95%以上,氢氧化锶纯度达99.5％以上,氢氧化锶的综合产率达到90％以上。本研究为合理高效地利用大风山天青石资源生产氢氧化锶奠定理论基础和技术依据。     

Object-based class modelling for multi-scale riparian forest habitat mapping

Object-based class modelling allows for mapping complex, hierarchical habitat systems. The riparian zone, including forests, represents such a complex ecosystem. Forests within riparian zones are biologically high productive and characterized by a rich biodiversity; thus considered of high community interest with an imperative to be protected and regularly monitored. Satellite earth observation (EO) provides tools for capturing the current state of forest habitats such as forest composition including intermixture of non-native tree species. Here we present a semi-automated object based image analysis (OBIA) approach for the mapping of riparian forests by applying class modelling of habitats based on the European Nature Information System (EUNIS) habitat classifications and the European Habitats Directive (HabDir) Annex 1. A very high resolution (VHR) WorldView-2 satellite image provided the required spatial and spectral details for a multi-scale image segmentation and rule-base composition to generate a six-level hierarchical representation of riparian forest habitats. Thereby habitats were hierarchically represented within an image object hierarchy as forest stands, stands of homogenous tree species and single trees represented by sunlit tree crowns. 522 EUNIS level 3 (EUNIS-3) habitat patches with a mean patch size (MPS) of 12,349.64 m² were modelled from 938 forest stand patches (MPS = 6868.20 m²) and 43,742 tree stand patches (MPS = 140.79 m²). The delineation quality of the modelled EUNIS-3 habitats (focal level) was quantitatively assessed to an expert-based visual interpretation showing a mean deviation of 11.71%.     

Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

Indigenous forest biome in South Africa is highly fragmented into patches of various sizes (most patches < 1 km²). The utilization of timber and non-timber resources by poor rural communities living around protected forest patches produce subtle changes in the forest canopy which can be hardly detected on a timely manner using traditional field surveys. The aims of this study were to assess: (i) the utility of very high resolution (VHR) remote sensing imagery (WorldView-2, 0.5–2 m spatial resolution) for mapping tree species and canopy gaps in one of the protected subtropical coastal forests in South Africa (the Dukuduku forest patch (ca.3200 ha) located in the province of KwaZulu-Natal) and (ii) the implications of the map products to forest conservation. Three dominant canopy tree species namely, Albizia adianthifolia, Strychnos spp. and Acacia spp., and canopy gap types including bushes (grass/shrubby), bare soil and burnt patches were accurately mapped (overall accuracy = 89.3 ± 2.1%) using WorldView-2 image and support vector machine classifier. The maps revealed subtle forest disturbances such as bush encroachment and edge effects resulting from forest fragmentation by roads and a power-line. In two stakeholders’ workshops organised to assess the implications of the map products to conservation, participants generally agreed amongst others implications that the VHR maps provide valuable information that could be used for implementing and monitoring the effects of rehabilitation measures. The use of VHR imagery is recommended for timely inventorying and monitoring of the small and fragile patches of subtropical forests in Southern Africa.