Spatially weighted supervised classification for remote sensing

A simple approach for incorporating a spatial weighting into a supervised classifier for remote sensing applications is presented. The classifier modifies the feature-space distance-based metric with a spatial weighting. This is facilitated by the use of a non-parametric (k-nearest neighbour, k-NN) classifier in which the spatial location of each pixel in the training data set is known and available for analysis. A remotely sensed image was simulated using a combined Boolean and geostatistical unconditional simulation approach. This simulated image comprised four wavebands and represented three classes: Managed Grassland, Woodland and Rough Grassland. This image was then used to evaluate the spatially weighted classifier. The latter resulted in modest increase in the accuracy of classification over the original k-NN approach. Two spatial distance metrics were evaluated: the non-centred covariance and a simple inverse distance weighting. The inverse distance weighting resulted in the greatest increase in accuracy in this case.     

考虑渗流力时对太沙基一维固结理论的修正

考虑渗流力的作用，对太沙基一维固结理论进行了修正，给出了向上及向下渗流时固结度的表达式，并分析了固结过程中渗流应力的变化规律。结果表明：渗流力对固结度的影响较大，特别是在时间因素Tv=0.1附近，是否考虑渗流力的影响将导致固结度的差值达30 %，因而渗流力对固结度的影响是不可忽略的。     

水质大涡模拟数学模型研究

建立了基于弱可压缩流基础上的水质大涡模拟数学模型及污染物质扩散系数与平均运动的关系。数值计算采用有限体积法和预测校正法,固壁边界条件采用"部分滑移条件"。并应用该模型对重庆嘉陵江、长江两江交汇段的流场,污染物质浓度分布进行了计算,计算结果与实测值比较吻合。研究表明,横向扩散与流动状态有关,当支流流量相对较小时,横向扩散较弱,形成岸边污染带,当支流流量相对较大时,横向扩散较强,污染带向江心移动。     

地下水浅埋区土壤水的矿化度变化规律及其影响因素浅析

土壤水的研究对农田水利、水文地质、生态与环境等都具有很重要的意义 ,本文概略介绍了在黄河三角洲地区开展包气带水分运移试验研究过程中 ,野外获取土壤水的方法及设备。在对水样分析结果进行总结的基础上 ,对试验点土壤水的矿化度变化规律及其影响因素进行了初步的分析。主要结论为 ,在地下水浅埋区 ,地下水与土壤水矿化度变化关系密切 ;蒸发作用与蒸腾作用对土壤水矿化度的影响效果是不同的 ,蒸发作用使上层土壤水的矿化度加大 ,而植被在其生长期降低土壤水的矿化度 ;地下水、植被和土壤性质是影响土壤水矿化度的重要因素     

The neoliberalization of ecosystem services: wetland mitigation banking and problems in environmental governance

Wetland mitigation banking is an American neoliberal environmental policy that has created a functioning market in `ecosystem services', commodities defined using the holistic measures of ecological science. The development of this market is discussed as a project of environmental governance, defined as the nation-state's regulation of ecological relations within its territory towards stabilizing capitalist relations of power and accumulation. I argue that the wetland banking industry serves as a bellwether that presages problems that other strategies of neoliberal environmental governance will experience. Ethnographic, economic and ecological data from the Chicago-area wetland banking industry inform a discussion of two major obstacles to neoliberal strategy: the problem of relying on ecological science to define the unit of trade, and the problem of aligning the somewhat independent relations of law, politics, markets and ecosystems across an array of spatial scales. Theoretical guidance is sought from recent work on `social natures' and from the Regulationist approach to institutional political economics.     

基于时空分析的贫困丘陵山区耕地变化机理研究

在地理信息系统技术的支持下 ,利用耕地面积变化时间序列模型、耕地动态度模型、耕地重心变化模型等 ,对湖北省咸宁市耕地的时间变化和空间变化特征进行了定量的研究 ,并应用主成分分析法 ,选择 2 3个因素对其驱动因子进行了相关分析。结果表明 ,耕地变化主要受经济因子、人口、房地产政策及耕地开发强度的影响     

Determining the maximum degree of harmonic coefficients in geopotential models by Monte Carlo methods

Random errors for the harmonic coefficients of a geopotential model are generated from the matrix of normal equations by a parallel computer applying the Gibbs sampler. This leads to random values for the harmonic coefficients. They are transformed by nonlinear, quadratic transformations to random values for the square roots of degree variances, of mean squares of geoid undulations and gravity anomalies. The expected values of these quantities are not equal to the values of these quantities computed by the estimated harmonic coefficients, due to correlations and errors in the estimation. By hypothesis tests estimated harmonic coefficients distorted by correlations and errors are detected. Applying the tests to the geopotential model ITG-CHAMP01 of the Institute of Theoretical Geodesy in Bonn it is concluded that above the degree 62 the harmonic coefficients cannot add any information to the geopotential model.     

AHP及模糊综合评判法在路基长期稳定性评价中的应用

根据对一低液限粉土路基的现场工程地质调查及检测,确定了影响该路基长期稳定性的主要影响因素,并结合AHP法,应用两级模糊综合评判的方法对该路基的长期稳定性进行了评价。     

南水北调中线水源工程丹江口水库坍岸问题浅析

南水北调中线水源工程大坝加高后,丹江口库区内的部分库段在库水作用下易发生坍岸问题.为了预测水库坍岸范围和发生坍岸的难易程度,对丹江口水库的地形、地质条件和坍岸的影响因素和型式进行了分析.在此基础上,通过大量的调查,采取工程地质类比法预测了坍岸范围和难易程度,为对坍岸范围内的对象采取针对性的处理措施提供了地质依据.     

Estimation of daily stream water temperatures with a Bayesian regression approach

Stream water temperature plays a significant role in aquatic ecosystems where it controls many important biological and physical processes. Reliable estimates of water temperature at the daily time step are critical in managing water resources. We developed a parsimonious piecewise Bayesian model for estimating daily stream water temperatures that account for temporal autocorrelation and both linear and nonlinear relationships with air temperature and discharge. The model was tested at 8 climatically different basins of the USA and at 34 sites within the mountainous Boise River Basin (Idaho, USA). The results show that the proposed model is robust with an average root mean square error of 1.25 °C and Nash–Sutcliffe coefficient of 0.92 over a 2‐year period. Our approach can be used to predict historic daily stream water temperatures in any location using observed daily stream temperature and regional air temperature data.