基于知识的洞庭湖湿地遥感分类方法

湿地遥感影像分类是遥感研究的一大难题。分析洞庭湖不同湿地类型在遥感影像上的光谱曲线规律,利用两个季节的洞庭湖ETM数据,并辅助以物候特征和地面GIS信息,通过遥感软件Erdas Image的专家分类知识库建立决策树分类方法,结合研究区的DEM进行洞庭湖湿地的影像分类,通过专家分类器分层次实现了包括水体、泥沙滩地、防护林滩地、湖草、芦苇滩地和苔草滩地以及其他水体7种湿地类型的分类。相比传统分类方法,专家分类过程以规则为基础,可以同时利用多个条件进行分类,减少了数据处理时间,同时还提高了分类精度,最终得到试验区较为可靠的遥感分类图像。     

基于“事故树-层次分析法”的高校学生宿舍火灾风险分析

高校学生宿舍的消防安全是高校安全管理的重要内容之一。对学生宿舍的消防进行风险分析对高校的安全管理具有重要意义。本文采用层次分析法对高校宿舍的消防安全进行风险分析。在进行层次分析法之前,引入了事故树,通过事故树寻求指标层中各类重要因素,从而提高了层次分析的准确性和有效性。分析结果表明：采用事故树-层次分析法,可定量地分析各个因素对建筑火灾风险的影响大小,对制定建筑火灾的防范措施具有一定的指导意义。分析结果表明：消防设施、火灾荷载和安全疏散设备对学生宿舍的火灾安全有着重要的影响,应该引起安全管理人员的重视。     

糠醛厂生产过程安全评价

对企业生产过程中的危险有害因素进行安全评价,是当前企业预防事故发生的有效手段。安全评价技术在国内外已有较长的发展历史,但关于糠醛生产过程的安全评价方法及研究还比较匮乏。在糠醛生产过程中存在着火灾、爆炸、中毒、噪声等危险因素,极易造成大量的人员伤亡和财产损失。根据某糠醛厂的实际情况,结合安全评价的基本程序,采用重大危险源辨识及事故树分析评价法,对危险有害因素进行辨识和评价。结果显示,糠醛厂存在着锅炉超压爆炸的危险,利用事故树分析法可以及时的找出预防途径,有针对性地提出安全改进的合理建议,从而进一步改善糠醛厂生产过程中的环境。评价的结果对糠醛生产企业进行安全决策、减少事故隐患,具有积极的指导意义。     

Estimating the vulnerability of fifteen tree species under changing climate in Northwest North America

In the Pacific northwestern (PNW) region of North America, climatic conditions have significantly warmed since a predominantly cool phase of the Pacific North American circulation patterns between 1950 and 1975. What are the implications of this shift in climate for the vulnerability of native tree species? To address this question, we combined mechanistic and statistical models to assess where a variety of native tree species might be more vulnerable within their recorded ranges and where they might potentially migrate. For long-lived species that are well adapted to compete, seasonal differences in photosynthesis and water use offer insights helpful in predicting their distributions. To evaluate the general response of conifers to climatic variation across the region, we previously applied a process-based model (3-PG), to simulate the growth and maximum leaf area index that Douglas-fir could attain within recognized forested areas. We then constructed automated decision tree models to define and map the ecological distributions of 15 tree species based on differences in how photosynthesis was constrained by drought, daytime temperatures, high evaporative demand, and the frequency of frost. For the baseline climate period (1950-1975), the decision tree models predicted presence and absence of each species at ∼23,000 observations with an average accuracy of 81%, with an average kappa statistic of 0.74. In this paper the same models were run annually for the period between 1976 and 2006 for each species, and the areas defined as remaining suitable or becoming vulnerable to disturbance were identified based on whether more or less than half of the years fell within the originally defined limits. Based on these criteria, 70% of the species recorded ranges remained suitable, with 30% deemed vulnerable. Results varied notably by species with western red cedar and western hemlock remaining highly adapted, with potential for range expansion in area of up to 50% relative to the baseline period. In contrast, ponderosa pine, lodgepole pine, grand, and noble fir were classified as vulnerable with potential net contractions in their ranges. The analysis was extended through the rest of the 21st century using climatic projections from the Canadian global circulation model with a high fossil fuel emission scenario (A2) and compared to other previously published species range predictions.     

北京建成区道路绿化空间结构和行道树健康状况

采用实地普查测量方法,定量研究了北京建成区188条道路行道树的树种结构、径级分布、立木层次和健康状况。结果表明,国槐（Sophora japonica）、毛白杨（Populus alba）、银杏（Ginkgo biloba）是建成区主要行道树种,使用量分别占研究区树木总株数的54．7％、13．7％和7．4％。建成区树木...     

温带阔叶红松林中不同树种和倒木对土壤性质的影响

以长白山温带阔叶红松林为研究对象,通过野外采集土壤样品,综合研究老龄树及倒木对周边表层土壤性质的影响。研究结果显示,在本研究样地条件下,不同树种周边的表层土壤性质存在显著性差异,红松（Pinus koraiensis）周边土壤中水溶性有机碳WSOC的质量分数和特征吸光系数SUVA254值都高于紫椴（乃砌amurensis）和水曲柳（Fraxinus mandshurica）,但是土壤水溶性总氮WSTN和交换性无机氮的质量分数却是红松低于紫椴和水曲柳。对倒木影响的森林表层土壤性质的研究结果显示,倒木下方森林表层土壤中WSOC、WSTN以及交换性矿质氮的质量分数都明显地高于林间土壤,说明在小尺度空间区域内,倒木可能是森林表层土壤活性碳、氮库的重要输入源。此外,本研究还利用主成分分析探讨了受树种影响的森林表层土壤不同性质之间的关联性,并对树种和倒木影响周边土壤性质的可能性机制进行分析。     

生态系统服务约束关系界定及影响机制分析

以长江经济带为研究对象,选择InVEST模型对长江经济带代表性的5种生态系统服务进行评估,根据两两配对关系原理进行约束线提取,并构建生态系统服务约束关系与影响因素相互作用模型,对其作用机制进行探究.结果表明,2000~2015年长江经济带5种生态系统服务两两间共表现出矩形型,对数型,抛物线型和驼峰型4种约束类型;7种影响因素与配对的10对约束关系间均呈弱相关性;影响因子与约束关系作用关系曲线的空间变化呈现较大差异,总体为上下波动的趋势;影响因子对约束关系的贡献程度情况各异.辐射对约束关系的平均贡献率最高,达21.43%,其中对粮食供给-生境质量的贡献率最高,为33.10%;NDVI的平均贡献率最低,为7.55%,其中对粮食供给-生境质量的贡献率最低,为5.70%;各因素间相互作用、彼此制约的关系是生态系统服务约束关系变化的内在机制.     

土地资源的多级网格数据结构建立与应用研究

传统的基于行政区的土地统计数据不能完全表现区域内部土地利用的空间分异特征,以武汉市为实验区,对基于网格的统计信息算法STING(Statistical Information Grid-based method)进行扩展,以景观多样性指数为定量化指标对实验区进行四叉树划分生成不均匀多级网格,建立一种拟合了行政区划界线的不均匀的多级网格结构来存储、管理和分析土地数据。并以此多级网格数据结构为平台计算和生成实验区人口密度空间分异渲染图,初步抽取了人口分布与土地利用之间的关系。实验表明,基于多级网格的统计方法能更好地表达土地利用及其相关数据的空间分异性,利于对土地资源数据的进一步挖掘以抽取所需知识。     

二叉树创建算法的研究

通过对二叉树四种遍历方法的分析,给出四种建立二叉树的通用算法,以及对这些算法效率的初步分析．解决了二叉树在实际应用中创建的问题,同时,给出的算法对一些高级树型数据结构的研究也具有一定参考价值．参4．     

Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach

Decision tree models were developed to investigate and predict the relative abundance of three key pasture plants [ryegrass (Lolium perenne), browntop (Agrostis capillaris), and white clover (Trifolium repens)] with integration of a geographical information system (GIS) in a naturalised hill-pasture in the North Island, New Zealand, and were compared with regression models with respect to model fit and predictive accuracy. The results indicated that the decision tree models had a better model fit in terms of average squared error (ASE) and a higher percentage of adequately predicted cases in model validation than the corresponding regression models. These decision tree models clearly revealed the relative importance of environmental and management variables in influencing the abundance of these three species. Hill slope was the most significant environmental factor influencing the abundance of ryegrass while soil Olsen P and annual P fertilizer input were the most significant factors influencing the abundance of browntop, and white clover, respectively. Soil Olsen P of approximately 10 μg/g, or a slope of about 10.5° was critical points where the competition between ryegrass and browntop tended to come to an equilibrium. Integrating the decision tree models with a GIS in this study not only facilitated the model development and analyses, but also provided a useful decision support tool in pasture management such as in assisting precision fertilizer placement. The insights obtained from the decision tree models also have important implications for pasture management, for example, it is important to maintain a soil Olsen P higher than 10 μg/g in order to keep the dominance of ryegrass in the hill-pasture.