运用多元统计方法识别浙北海域两个典型港湾的水质状况

浙北海域两个典型港湾,杭州湾与象山港的水体污染状况日趋严重。本文运用多元统计方法,对分析了研究海域水体的物理及生物地球化学要素进行了量化分析。结果表明,根据物理及生物地球化学特性,层次聚类分析可将研究海域划分为两个不同的子区域;主成分分析分别在杭州湾和象山港识别出3个潜在的污染源,且陆源径流的输入、沿岸工业排污以及自然演化过程为主要源头。因此,研究海域的生态环境保护刻不容缓,应该立即采取相关措施。     

珠江口海域春季富营养化现状与影响分析

随着珠江三角洲经济圈的迅速发展,珠江口海域环境污染日趋严重,于2014年春季对珠江口邻近海域进行环境现状调查,并通过因子分析法和聚类分析法就珠江口调查海域管辖城市和邻近区域的环境现状对珠江口海域环境污染的贡献率进行排序和分类.结果表明:珠江口调查海域营养盐污染较为严重,无机氮含量范围为0.213~1.963 mg/dm~3,平均值为0.888 mg/dm~3;活性磷酸盐含量范围为0.009~0.063 mg/dm~3,平均值为0.033 mg/dm~3.无机氮和活性磷酸盐在珠江口上游和中游均超过海水水质第四类标准,珠江口下游无机氮含量符合海水水质第四类标准,活性磷酸盐含量符合海水水质第二类标准.无机氮以硝氮为主,氨氮次之,亚硝氮含量最低.珠江口调查海域DIN/P变化范围为8.5~168.0,平均值为31.8;富营养化指数E变化范围为0.3~45.1,平均值为8.2,富营养化较为严重.来自广州、东莞、佛山、中山的四大口门排入的污染物对珠江口海域环境影响最大,其次是深圳西部海域沿岸和前海湾、深圳湾排入的污染物,最后是珠海、澳门和香港带入的污染物.从珠江口邻近海域环境现状对珠江口海域环境影响进行较为深入地分析和探讨,为珠江口海域环境的治理和修复提供一些意见和建议.     

Automatic mapping of lunar landforms using DEM-derived geomorphometric parameters

Developing approaches to automate the analysis of the massive amounts of data sent back from the Moon will generate significant benefits for the field of lunar geomorphology. In this paper, we outline an automated method for mapping lunar landforms that is based on digital terrain analysis. An iterative self-organizing (ISO) cluster unsupervised classification enables the automatic mapping of landforms via a series of input raster bands that utilize six geomorphometric parameters. These parameters divide landforms into a number of spatially extended, topographically homogeneous segments that exhibit similar terrain attributes and neighborhood properties. To illustrate the applicability of our approach, we apply it to three representative test sites on the Moon, automatically presenting our results as a thematic landform map. We also quantitatively evaluated this approach using a series of confusion matrices, achieving overall accuracies as high as 83.34% and Kappa coefficients (K) as high as 0.77. An immediate version of our algorithm can also be applied for automatically mapping large-scale lunar landforms and for the quantitative comparison of lunar surface morphologies.     

基于ISSR分子标记数据的兰州百合核心种质构建方法研究

利用ISSR分析获得的数据,研究了依据Nei & Li、SM和Jaccard遗传距离,采用UPGMA聚类法进行逐步聚类筛选核心种质的效果,并最终采用SM遗传距离逐步聚类从175份兰州百合种质中筛选出了37份核心种质。保留了初始种质21.14%的样品,多态性位点数、多态性位点百分率、Nei's遗传多样性指数和Shannon's信息指数的保留率分别为96.08%、96.59%、105.27%、103.62%,t检验表明核心种质的Nei's遗传多样性指数和Shannon's信息指数与原种质没有显著差异,表明构建的核心种质能很好的代表原始种质的遗传多样性。     

长江三角洲地区制造业集群辨识及空间组织特征

本文基于投入产出表的主成分分析和企业空间分布数据的聚类分析,从产业功能联系和空间联系角度辨识长江三角洲地区主要的制造业集群,并从企业、产业、区域3个维度刻画和比较不同类型制造业集群的空间组织特征。研究表明,长江三角洲地区存在冶金及装备、电子信息、纺织及服装等12个垂直联系紧密的制造业群组,并高度集聚于沿沪宁线、沪杭线、杭甬线的“Z”字形区域。冶金及装备、电子信息和纺织及服装3个制造集群分别呈现轮辐式、卫星式和马歇尔式产业集群组织方式。上海和江苏的制造业集群在集群规模、大型企业占比、外资企业占比等方面,要明显高于浙江的制造业集群。     

自组织双重空间聚类算法的城市扩张结构分析应用

双重空间聚类是能顾及空间连续性和属性相似性的空间数据分析,而常规空间聚类算法难以同时顾及2方面的约束条件。本文采用自组织双重空间聚类算法,对城市扩张结构分析进行了研究。通过改造自组织特征映射的最佳匹配神经元搜索的算法机制,在空间域和属性域进行迭代聚类搜索,实现了自组织双重空间聚类。以武汉市扩张斑块的位置信息和扩张程度指数为输入数据,使用自组织双重空间聚类算法,实现了城市扩张动态结构的识别。自组织双重空间聚类算法使得聚类结果,既在空间域上连续,又在属性域上相近,算法过程具有自组织性,减少了人为影响。     

Evaluation of geochemical behavior and heavy metal distribution of sediments：The case study of the Tirumalairajan river estuary,southeast coast of India

The purpose of this study was to assess the chemical partitioning of selected heavy metals(Fe,Mn,Cu,Zn,Pb,Cr,Co and Ni) in 10 surface sediments at Tirumalairajan River Estuary in the southeastern coast of India.A five-step sequential extraction technique was used to assess the environmental status of heavy metals.Most of metals were considered to be immobile due to the high availability in the residual fraction of heavy metals.The sediments of Tirumalairajan River estuary had not been polluted by heavy metals,and they didn’t pose any high ecological risk.The seasonal variations of heavy metals were slightly higher in summer than in monsoon season.Factor analysis was also carned out to understand the associations of metals in different fractions with sand,silt,clay,organic matter,pH,salinity and other metals.The relationship between the Q-mode and R-mode cluster analyses was useful for identifying the pollution levels in both seasons.It was proved that the enrichment of heavy metals was related with geogenic and anthropogenic sources.The information on total metal concentrations in sediments was not sufficient for assessing the metal behavior in the environment,but the sequential extraction technique was more effective in estimating the environmental impact of contaminated sediments.     

利用精确定位余震资料确定2014年云南鲁甸6.5级地震的断层面参数

运用双差定位法对2014年云南鲁甸6.5级地震序列余震进行重新定位,得到565次小震的精确定位结果.根据小震丛集性原则,求解发震断层参数的数学模型,运用模拟退火全局搜索和高斯牛顿局部搜索相结合的方法对地震发震断层面参数进行反演,得到鲁甸6.5级地震断层面的走向、倾角分别为160.8°和89.1°,并对其构造环境进行了分析.     

基于最邻近事件距离算法的丛集地震识别方法及应用

引入Zaliapin等发展的基于最邻近事件距离算法的丛集地震识别方法,首先使用不同类型的数据对方法进行检验,然后对胶东半岛和沂沭带的区域小震活动进行分析。结果表明,1996年以来沂沭带的小震活动近似满足泊松随机过程,主要是背景地震活动;而胶东半岛地区小震则存在明显的成丛活动。最后将该方法应用到1976年唐山MS7.8地震序列,通过序列发展不同时段的对比分析,结果表明,随着时间的推移,唐山地震序列中受此前发生的主震和较大余震影响作用的事件越来越少,序列的丛集性明显减弱,更多的小震或许可视为反映区域应力状态的背景地震。     

A 30 meter land cover mapping of China with an efficient clustering algorithm CBEST

Remote sensing based land cover mapping at large scale is time consuming when using either supervised or unsupervised classification approaches. This article used a fast clustering method—Clustering by Eigen Space Transformation(CBEST) to produce a land cover map for China. Firstly, 508 Landsat TM scenes were collected and processed. Then, TM images were clustered by combining CBEST and K-means in each pre-defined ecological zone(50 in total for China). Finally, the obtained clusters were visually interpreted as land cover types to complete a land cover map. Accuracy evaluation using 2159 test samples indicates an overall accuracy of 71.7% and a Kappa coefficient of 0.64. Comparisons with two global land cover products(i.e., Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) and GlobCover 2009) also indicate that our land cover result using CBEST is superior in both land cover area estimation and visual effect for different land cover types.