溢油应急响应系统的设计与研究

文章提炼出溢油应急过程中的三种信息流,以整合信息流为目标,利用以状态机为核心的指挥技术和通用共享指挥图技术（Common Operational Picture,简称COP）,并结合现有的溢油应急预警及专家决策支持系统和船舶动态管理系统（Automatic Identification System,简称AIS系统）,提出“溢油应急一张图”核心理念,研究并设计了能够进一步提高溢油应急效率和信息流转功效的溢油应急响应资源分布及决策支持系统。     

地面水环境质量（现状）图的编制与应用

前言四川省地面水环境监测工作已开展多年,在全省主要江河上设置了100多个例行监测断面,每年枯、平、丰三个水期对20     

Excel软件在环境监测质量控制中的应用

本文介绍了Excel软件在环境监测质量控制中的应用,结合实例详细阐述了利用Exeel软件制作Youden双样图的方法。     

利用EXCEL制作质量控制图

本文在利用EXCEL制作控制图方面进行了初步尝试。以该方法制作控制图快速、准确、易于推广,是环境监测工作中质量控制的有效手段。     

两性水处理剂CGAC在1mol/LHCl中的缓蚀性能研究

研究了天然高分子改性两性水处理剂CGAC在1mol／LHCl中对A3钢的缓蚀性能，讨论了药剂投加量、温度和药剂在酸中存放时间对缓蚀性能的影响。结果表明药剂CGAC具有较好的缓蚀性能，在CGAC投加量为60mg／L时，缓蚀率达96．6％，且具有长效缓蚀性能。初步分析CGAC是吸附成膜型缓蚀剂，其吸附在金属表面后增大了腐蚀的表观活化能。     

基于图神经网络聚类的土壤监测点位优化

在土壤污染的监测过程中,由于需要大面积的监测点位布设,所以需要大量的人力和物力,同时原有的土壤监测点位存在冗余和代表率低的问题,对监测结果的准确性和全面性产生了影响。使用一种基于自编码器降维和图卷积网络（GCN）推理的土壤点位优化方法,通过将原有监测点位聚类成不同簇,来实现用尽量少的监测点位全面地表现区域污染情况的目的。使用GCN推理结合自编码器降维的土壤点位优化方法,该方法同时利用土壤监测点位数据的结构信息和高维特征表示,将监测点位聚类成不同簇。通过对相关性进行分析,发现聚类后的簇中心点位可以作为原始簇的代表,从而降低土壤监测点位的冗余性,实现了监测点位的优化。实验证明GCN方法可以有效地减少监测点位的数量,同时保持监测结果的准确性和全面性。     

区域民俗旅游形象设计——以长吉图区域为例

民俗旅游作为一种高层次的文化旅游,深受国内外旅游者的喜爱,但区域民俗旅游形象往往不够鲜明.长吉图开发开放先导区作为目前唯一一个由国家批准实施的沿边开发开放区域,民俗旅游资源丰富独特,但影响力不强.在文脉分析的基础上,定位其形象,并从人一地感知形象、人一人感知形象两个角度对整个区域民俗旅游形象进行系统设计.     

海洋大气腐蚀性分类分级

本文介绍了国内外大气腐蚀性分类分级的主要方法和发展状况，论述了在我国沿海开展大气腐蚀性研究的重要性，并提出了开展该项研究着重需要考虑的几个问题。     

环境风险预测数学模型

本文基于环境风险预测分析的基本思想,应用模糊图、灰色系统、非线性回归、随机过程和可靠性系统工程理论和方法,探讨了环境风险预测的数学模型。给出了环境风险预测的双向模糊图模型、灰色马尔夫预测模型及非线性回归模型,这些模型的应用为环境风险评价和环境风险管理提供了科学依据。     

运用环境心理学对城市地块的分析

当今城市规划理论正在变得越来越具有广泛综合性.除了传统的理论,例如城市设计、形态学等等,环境心理学也日益受到重视,成为一个具有影响力的元素,以期满足社会日益复杂的功能与心理需求,完善设计成果.     

Estimation of Landscape Potential for Construction of Surface-Flow Wetlands for Wastewater Treatment in Estonia

The main aim of this article is to demonstrate a method of complex landscape analysis in order to estimate the landscape suitability for the construction of surface-flow wetlands (SFW) for wastewater treatment. This is a multilevel suitability analysis from a more general regional (landscape) assessment based on a map of landscape types (1:100,000) toward a detailed analysis based on aerial orthophotos and detailed soil maps (1:10,000). The assessment scheme consists of landscape classification according to the physical-chemical properties of landscape factors (soil conditions, landforms, hydrogeology, expert decisions concerning landscape values, and suitability analysis). The partial suitability values of SFWs are derived by summarizing expert values for landscape factors (each ranging from -1 to +1). By multiplying the summarized partial suitability values with nature protection values (ranging from 0 to 1), we obtain the final suitability value for each landscape type. Any kind of nature protection area has been considered nonsuitable and excluded at regional-level analysis. The results of the regional analysis demonstrate that suitability is distributed relatively equally over the study area. The high suitability potential (classified as "very suitable") is relatively evenly distributed in lowland regions throughout the country. The share of "very suitable" and "suitable" areas in different counties varies from 5 to 23% and 7 to 49%, respectively. The detailed analysis based on aerial orthophotos showed that areas suitable for SFWs can also be found within the areas determined to be unsuitable based on the less detailed map of landscape types, whereas differences are much greater between settlements chosen for the detailed suitability analysis.     

Creating affordable Internet map server applications for regional scale applications

This paper presents an overview and process for developing an Internet Map Server (IMS) application for a local volunteer watershed group using an Internal Internet Map Server (IIMS) strategy. The paper illustrates that modern GIS architectures utilizing an internal Internet map server coupled with a spatial SQL command language allow for rapid development of IMS applications. The implication of this approach means that powerful IMS applications can be rapidly and affordably developed for volunteer organizations that lack significant funds or a full time information technology staff.     

Remote sensing water observation for supporting Lake Victoria weed management

This paper aims to assess the suitability of remote sensing for enhancing the management of water body resources and for providing an inexpensive way to gather, on a wide area, weed infestation extent and optical parameter linked to the water body status. Remotely sensed satellite images and ancillary ground true data were used to produce land cover maps, trough classification techniques, and water compounds maps, applying radiative transfer models. The study proposed within the framework of the cooperation between Italian Foreign Affair Ministry (through the University of Rome) and Kenyan Authorities has been carried out on the Kenyan part of the Lake Victoria. This lake is one of the largest freshwater bodies of the world where, over the last few years environmental challenges and human impact have perturbed the ecological balance affecting the biodiversity. The objective of this research study is to define the thematic products, retrievable from satellite images, like weed abundance maps and water compound concentrations. These products, if provided with an appropriate time frequency, are useful to identify the preconditions for the occurrence of hazard events like abnormal macrophyte proliferation and to develop an up-to-date decision support system devoted to an apprised territory, environment and resource management.     

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.     

Self-Organizing Maps for Integrated Environmental Assessment of the Mid-Atlantic Region

A new method has been developed to perform environmental assessment at regional scale. This involves a combination of a self-organizing map (SOM) neural network and principal component analysis (PCA). The method is capable of clustering ecosystems in terms of environmental conditions and suggesting relative cumulative environmental impacts of multiple factors across a large region. Using data on land-cover, population, roads, streams, air pollution, and topography of the Mid-Atlantic region, the method was able to indicate areas that are in relatively poor environmental condition or vulnerable to future deterioration. Combining the strengths of SOM with those of PCA, the method offers an easy and useful way to perform a regional environmental assessment. Compared with traditional clustering and ranking approaches, the described method has considerable advantages, such as providing a valuable means for visualizing complex multidimensional environmental data at multiple scales and offering a single assessment or ranking needed for a regional environmental assessment while still facilitating the opportunity for more detailed analyses.     

Assessing the efficiency gains of improved spatial targeting of policy interventions; the example of an agri-environmental scheme

GIS-based spatial targeting is increasingly recognised as a potentially useful tool to design more efficient policy interventions. The use of this tool has also been advocated in the context of incentive-based agri-environmental schemes, but there has been little work to date to estimate the level of efficiency gains which it may help to achieve. This paper investigates the requirements to arrive at such estimates, using a Scottish farm woodland scheme as a case study. This agri-environmental scheme aims to provide visual amenity and biodiversity. Maps of these two benefits are used to develop improved spatial targeting scenarios that deliver significant efficiency gains in comparison to the existing scheme design. The paper discusses the nature of the spatial distribution of the relevant benefits at the landscape scale and the data requirements for the realistic estimation of efficiency gains. It concludes that although much work needs to be done, the methods available today could and should play a much greater role in improving the landscape-scale design of existing land use schemes focused on the delivery of non-market benefits.     

FRACTALS AND THE RIVER-LENGTH CATCHMENT-AREA RATIO1

ABSTRACT: The fractal nature of stream-length and catchment-area measurement is investigated using eight rivers in Missouri. The fractal dimension for the length measurement was found to average 1.158 and for area to average 1.0105. These values are close to those hypothesized by Mandeibrot (1983).     

Assessing agricultural vulnerability to climate change in the Nordic countries – an interactive geovisualization approach

Nordic agriculture must adapt to climate change to reduce vulnerability and exploit potential opportunities. Integrated assessments can identify and quantify vulnerability in order to recognize these adaptation needs. This study presents a geographic visualization approach to support the interactive assessment of agricultural vulnerability to climate change. We have identified requirements for increased transparency and reflexivity in vulnerability assessments, arguing that these can be met by geographic visualization. A conceptual framework to support the integration of geographic visualization for vulnerability assessments has been designed and applied for the development of AgroExplore, an interactive tool for assessing agricultural vulnerability to climate change in Sweden. To open up the black box of composite vulnerability indices, AgroExplore enables the user to select, weight, and classify relevant indicators into sub-indices of exposure, sensitivity, and adaptive capacity. This enables the exploration of underlying indicators and factors determining vulnerability in Nordic agriculture.     

基于CiteSpace中国生态补偿研究的知识图谱分析

生态补偿已成为生态环境管理领域的热点问题。本文基于CiteSpace可视化文献分析工具,以CSSCI数据库中1998—2018年的期刊论文作为数据源,以"生态补偿"为关键词进行文献检索,通过共被引、关键词共现分析以及聚类分析等,探讨生态补偿研究领域的知识基础以及研究热点与前沿。结果表明:①生态补偿研究的发文数量经历了缓慢上升、快速增长、平稳增加三个阶段;②生态补偿研究作者集中度较高,发行期刊涵盖经济学、地理学、生态学、制度经济学等多个学科,反映出生态补偿是一个多学科交叉的研究主题,生态补偿研究的综合性不断增强;③依据关键词知识图谱,"国家重点生态功能区""生态环境""可持续发展"等成为最新研究热点;④新时期生态文明建设下,"草原生态补偿""支付意愿""转移支付""退耕还林"等成为生态补偿研究的最新前沿话题。