噪声地图在环境噪声监测中的应用

以青岛理工大学新校区为例,采用变网格划分法,研究了基于地理信息系统(GIS)的噪声地图在区域环境噪声评价方面的应用。结果表明,噪声预测系统结合GIS,以数字与渲染图的方式能够直观地展现噪声污染在环境区域的分布状况,可用于指导区域的规划和环境噪声评价。     

固氮植物篱改善退化坡耕地土壤养分状况的效果

在四川宁南县坡地农业实验站对固氮植物篱在坡耕地上防治水土流失和改良土壤的效果进行了长期定位研究．结果表明等高固氮植物篱在防治土壤养分退化方面效果明显：与传统顺坡种植（ＣＫ） 相比,在坡耕地上培植新银合欢（Ｌｅｕｃａｅｎａｌｅｕｃｏｃｅｐｈａｌａ） 等高植物篱和山毛豆（Ｔｅｐｈｒｏｓｉａ ｃａｎｄｉｄａ）等高植物篱,正常耕作３～６ ａ 后,作物带土壤全氮可增加８０％ ～１３０％ ,有机质增加２０％ ～４０％ ,有效钾和阳离子交换量等养分均有不同程度增加．由于肥力状况改善,等高植物篱处理的农作物产量也明显高于ＣＫ．     

滑坡灾害危险性评价信息图谱研究——以福建省莆田市为例

近年来,滑坡灾害频繁发生且极大地危害着人类的生产生活,因此,如何快速有效地进行滑坡灾害危险性分析与评价,进而为滑坡的预测、预报及风险管理服务是一个亟待解决的问题。以莆田市为例,通过将地学信息图谱应用到滑坡灾害危险性评价中,构建莆田市高程、岩性、坡度、坡向影响因子信息图谱,并在此基础上得出莆田市滑坡灾害危险性评价信息图谱,以一系列的图谱直观地反映了莆田市滑坡发生的机制及滑坡危险性空间分布情况,反演了莆田市滑坡发生的时空变化规律,为滑坡灾害预测提供了矢量化的图形信息。     

A mathematical structure for analyzing maps

The growing use of computers in environmental management is profoundly changing data collection procedures, analytic processes, and even the decision-making environment itself. The emerging technology of geographic information systems (GIS) is expanding this revolution to integrate spatial information fully into research, planning, and management of land. In one sense, this technology is similar to conventional map processing involving traditional maps and drafting aids, such as pens, rub-on shading, rulers, planimeters, dot grids, and acetate sheets for light-table overlays. In another sense, these systems provide advanced analytic capabilities, enabling managers to address complex issues in entirely new ways. This report discusses a fundamental approach to computer-assisted map analysis that treats entire maps as variables. The set of analytic procedures for processing mapped data forms a mathematical structure analogous to traditional statistics and algebra. All of the procedures discussed are available for personal computer environments.     

鄱阳湖地区洪水灾害模式分析

在对多年水文数据进行分析的基础上，利用Kohonen自组织映射对鄱阳湖地区降水时序变化、长江来水和湖水水位变化进行模式识别。之后，将所得的模式作为解释变量，用CART方法对样本年份进行分类，建立了鄱阳湖区灾害模式判别树。借此揭示了鄱阳湖地区降水和长江来水对鄱阳湖洪涝灾害的影响。     

Calculating concentration contour co-ordinates using integral plume models

A mathematical model is proposed which allows the prediction of the contour, for a given concentration, of a plume caused by a release into the atmosphere of substances either heavier or lighter than air. The application of the model to different cases has given results close to those obtained from other models. Its introduction into the computer code of any dispersion model provides a tool useful in risk analysis and environmental assessment.     

Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering

Previous work on the estimation of the invasiveness of insect pest species used a single Kohonen self-organising map (SOM) to quantify the invasion potential of each member of a set of species in relation to a particular geographic region. In this paper that method is critically compared to an alternative approach of calculating the invasive potential of insect pest species as an outcome of clustering of regional species assemblages. Data clustering was performed using SOM and k-means optimisation clustering and multiple trials were performed with each algorithm. The outcomes of these two approaches were evaluated and compared to the previously published results obtained from a single SOM. The results show firstly, due to the inherent variation between trials of the algorithms used, that multiple trials are necessary to determine reliable risk ratings, and secondly, that k-means clustering can be considered a more appropriate algorithm for this particular application, as it produces clusters of higher quality, as determined by objective cluster measures, and is far more computationally efficient than SOM.     

基于混乱图的CI系统应急能力不足挖掘方法

关键基础设施(Critical Infrastructure, CI)系统应急能力建设的重要性是不言而喻的,已有的应急能力研究主要是基于应急能力评价指标体系展开评估,以此识别应急准备问题,但并未充分认知应急准备混乱,难以有效地挖掘应急能力不足。基于此,面向CI系统,从应急部门的角度采用混乱图挖掘应急能力不足,阐述特定突发事件情景下CI系统应急能力不足混乱图的构建流程。通过案例分析表明:CI系统应急能力不足混乱图可有效地反映应急准备混乱,并指导相关应急部门提升其应急能力。     

基于注意力机制的人群计数方法

为准确预测固定场景中的人群计数,在人群分析领域,采用一种融合注意力机制的卷积神经网络(CNN)进行人群计数,该模块结合空间域注意力和通道域注意力,空间域注意力可以编码整个图像的像素级上下文信息,以更准确地表达像素级别的密度图,而通道域注意力可以在不同的通道中提取更多的区分特征使网络显著表达人群的局部区域,并在多个公开数...