系统加权聚类法及其在滑坡稳定性预测中的应用

本文以工程地质类比分析法为基础，针对一般系统聚类法在滑坡稳定性预测中应用的不足，提出并建立了一种系统加权聚类法。最后以三峡库岸研究程度较高的３６个边坡为例，进行了一般系统聚类法与系统加权聚类法的对比研究。对比研究结果表明：系统加权聚类法应用于滑坡稳定性预测，其预测精度有较大提高。     

三峡库区(重庆段)生态系统健康评价

生态系统的健康和相对稳定是人类赖以生存与发展的必要条件. 分析了三峡库区(重庆段)生态系统的健康状况,使用3S技术获取基础地理数据,构建基于压力-状态-响应模式的三级指标体系模型,并以AHP法结合专家咨询法选取人口密度、地质灾害易发度等10项指标,进行综合得分计算并分级. 结果表明:①在生态环境调查的基础上,应用GIS空间分析方法进行生态系统健康评价具有可操作性和结果的可靠性;②三峡库区(重庆段)生态系统健康质量表现出2～4级生态系统占主体(82.6%)的特点,生态质量一般,人类社会经济活动对生态系统的健康状况造成较大影响;③生态系统健康质量水平分布表现出明显的区域差异,从行政范围来看,彭水县、巫山县较好,巫溪县、武隆县等次之,云阳市、万州区等则较差. 结合系统聚类分析方法分析三峡库区(重庆段)生态系统健康状况空间分异的成因;并从宏观尺度上提出了对该地区人为活动的不良生态后果予以积极预防和有效调控的综合对策.      

金华市奶牛基地的资源利用问题研究

本文论述了奶牛基地发展与红黄壤资源开发利用之间的内在联系。在分析奶牛基地农业资源利用现状基础上,运用灰色系统理论和多元统计的系统聚类分析方法,对影响奶牛基地发展的因素及区域发展对策作了定量分析,并预测奶牛基地发展趋势,提出奶牛生产不同区域的红黄壤资源开发利用的重点,这为合理开发利用红黄壤资源种草养奶牛提供理论和实际参考依据。     

A spatial clustering perspective on autocorrelation and regionalization

We revisit one of the classical problems in geography and cartography where multiple observations on a lattice (N) need to be grouped into many fewer regions (G), especially when this number of desired regions is unknown a priori. Since an optimization through all possible aggregations is not feasible, a hierarchical classification scheme is proposed with an objective function sensitive to spatial pattern. The objective function to be minimized during the assignment of observations to regions (classification) consists of two terms: the first characterizes accuracy and the second, model complexity. For the latter, we introduce a spatial measure that characterizes the number of homogeneous patches rather than the usual number of classes. A simulation study shows that such a classification procedure is less sensitive to random and spatially correlated error (noise) than non-spatial classification. We also show that for conditional autoregressive error (noise) fields the optimal partitioning is the one that has the highest within-units generalized Moran coefficient. The classifier is implemented in ArcView to demonstrate both a socio-economic and an environmental application to illustrate some potential applications.

模糊聚类分析在中国火灾危害分类中的应用

火灾现象具有随机性、模糊性,是个复杂的模糊系统行为。运用模糊聚类分析方法,借助于M ATLAB计算软件,对中国火灾的危害程度进行了分类。根据2000年中国火灾统计资料,把31个省市分为重灾区、较重灾区、一般灾区、轻灾区等4类,与传统的概率统计方法相比,本方法更符合客观实际。城市火灾分类是动态的,重灾区吸取教训,增强消防意识,增大消防投入,可减少火灾隐患;而轻灾区如不注意防范,也会增加火灾隐患。因此不论轻重灾区,均应时时增强防范意识,把火灾危害降至最低。     

Sustainable supplier selection criteria classification for Indian iron and steel industry: a fuzzy modified Kano model approach

ABSTRACT

The aim of this work is to provide a systematic approach for sustainability criteria clustering into different useful categories. For this purpose, a methodology has been proposed with the following three steps. (i) A comprehensive set of the sustainability criteria in economic, environmental and social dimension has been extracted from the literature and have been customised for the iron and steel industry. (ii) A fuzzy Kano methodology has been used to classify these sustainability criteria into useful Kano cluster like must-be, one-dimensional, and attractive cluster (iii) further, must-be and attractive criteria derived from the second step were further sub-classified into three categories using Type IV Kano model. All steps have been examined in the iron and steel industry of India and findings indicate that quality and delivery criteria are classified as high must be criteria in the economic realm. Further, environmental and energy management system in the environmental dimension and social responsibility and right of stakeholders criteria in the social dimension are classified as high must be criteria. Prioritising must be and attractive criteria enable decision makers of other industries to select the appropriate criteria to adopt sustainability.     

Integrating intraseasonal grassland dynamics in cross-scale distribution modeling to support waterbird recovery plans

Despite much discussion about the utility of remote sensing for effective conservation, the inclusion of these technologies in species recovery plans remains largely anecdotal. We developed a modeling approach for the integration of local, spatially measured ecosystem functional dynamics into a species distribution modeling (SDM) framework in which other ecologically relevant factors are modeled separately at broad scales. To illustrate the approach, we incorporated intraseasonal water-vegetation dynamics into a cross-scale SDM for the Common Snipe (Gallinago gallinago), which is highly dependent on water and vegetation dynamics. The Common Snipe is an Iberian grassland waterbird characteristic of European agricultural meadows and a member of one of the most threatened bird guilds. The intraseasonal dynamics of water content of vegetation were measured using the standard deviation of the normalized difference water index time series computed from bimonthly images of the Sentinel-2 satellite. The recovery plan for the Common Snipe in Galicia (northwestern Iberian Peninsula) provided an opportunity to apply our modeling framework. Model accuracy in predicting the species’ distribution at a regional scale (resulting from integration of downscaled climate projections with regional habitat–topographic suitability models) was very high (area under the curve [AUC] of 0.981 and Boyce's index of 0.971). Local water-vegetation dynamic models, based exclusively on Sentinel-2 imagery, were good predictors (AUC of 0.849 and Boyce's index of 0.976). The predictive power improved (AUC of 0.92 and Boyce's index of 0.98) when local model predictions were restricted to areas identified by the continental and regional models as priorities for conservation. Our models also performed well (AUC of 0.90 and Boyce's index of 0.93) when projected to updated water-vegetation conditions. Our modeling framework enabled incorporation of key ecosystem processes closely related to water and carbon cycles while accounting for other factors ecologically relevant to endangered grassland waterbirds across different scales, allowed identification of priority areas for conservation, and provided an opportunity for cost-effective recovery planning by monitoring management effectiveness from space.     

重点生态功能区环境污染源排放特征与空间管控模式——以藏东南为例

重点生态功能区以保持并提高生态产品供给能力为主体功能定位，区内自然环境敏感性和脆弱性突出，研究其人类活动过程中的环境污染源排放特征与空间管控模式，对科学协调保护与利用、切实加强重点生态功能区环境保护和治理水平具有重要意义.以青藏高原重要生态安全屏障区藏东南为例，基于环境污染源的固体废弃物、水体污染物和大气污染物排放强度的分类估算与空间特征解析，探讨面向污染源排放强度和多尺度管控精度的分级空间管控方案.研究结果表明：藏东南环境污染源的排放强度整体较低，雅鲁藏布江和雅尼河谷地因人类生产生活活动密度较大，其污染物排放量显著高于其他区域；在重点生态功能区应建立由7个二级类和21个三级类构成的环境污染源空间管控体系，重点管控以城镇居住区和工矿业生产空间为主的"点状"胁迫、以交通运输场所和人文游憩空间为主的"线状"胁迫、以农业种植区和畜禽养殖区为主的"面状"胁迫；针对藏东南各类环境污染源的空间耦合及交互特征，提出城乡生活集聚型、农牧业生产集聚型和休闲旅游集聚型3种典型区，依次制定"分级处理+资源利用"、"源头减排+就地消纳"、"实时动态监控+绿色设施营造+游憩利用规范"的差异化空间管控模式.     

西龙河峄山断层带水源地开采井位确定中水质因素分析

水质因素是地下水水源地开采井位确定中必须考虑的重要因素之一。该文根据西龙河峄山断层带水源地具体水文地质概况及备选开采井水质监测数据,进行了详细的备选开采井水质因素分析:不但利用模糊综合评判法,建立了地下岩溶水环境质量评价数学模型,对水源地投产前各备选开采井水环境状况进行了评价,而且利用模糊聚类分析法进行了各井水化学分类;并根据所得评价和分类结果,研究了地下水各种属性、含水层间的水力联系以及地下水的补排关系,从而进一步论述了开采井选定投产后水质可能产生的变化及应采取的防护措施,进而达到了水质污染预警的目的。水质因素分析为该水源地开采井位的最终选定提供了有力依据。     

50Hz低频环境磁场对细胞增殖的影响及其机理探讨

本文以细胞株LO2(人肝细胞)和CHL(中国仓鼠肺成纤维细胞)为研究对象，用50Hz正弦磁场以不同强度、不同时间作用于细胞。长时间作用后，2种细胞的增殖均受到抑制，但抑制程度与磁场作用量并非呈简单的线性关系；磁场短时间作用对细胞增殖无明显影响，但细胞膜的流动性变差，在磁场撤去后膜的流动性又有所恢复。这一现象说明，低频弱磁场引起宏观生物效应需要时间的积累。同时观察到磁场短时间作用导致的CHL细胞上表皮生长因子受体(EGFR)的聚集，这可能是低频弱磁场引起宏观生物效应的一种机制。