珠江下游河段沉积物中重金属含量及污染评价

为了解珠江下游出海河道沉积物中重金属含量及各污染物的潜在生态危害程度,用电感耦合等离子质谱法和原子荧光法测定了21个样点沉积物中13种元素的总量,及对底泥中主要重金属污染状况和潜在生态风险进行了评价.结果表明,珠江下游河道总Fe、总Mn含量分别为41 658.73 mg.kg-1和1 104.73 mg.kg-1,微量元素Cr、Co、Ni、Cu、Zn、As、Se、Cd、Sb、Pb和Hg的平均值分别为86.62、18.18、54.10、80.20、543.60、119.55、4.28、10.60、20.26、104.58和0.520 mg.kg-1,地积累指数评价结果显示,表层沉积物重金属污染程度顺序为：Cd〉As≈Zn〉Hg〉Pb≈Cu≈Cr,潜在生态风险程度大小顺序：Cd〉Hg〉As〉Cu〉Pb〉Zn〉Cr,Cd是该水域污染和潜在生态风险最大的元素,单项潜在生态风险与区域综合潜在生态风险一致.珠江下游河道底泥Cd、Hg和Pb污染受输入影响北江大于西江和东江.聚类分析结果表明,研究站位潜在生态风险可分5类,基本反映了站位分布及沉积物环境污染变化特征.总体而言,重金属污染和生态风险程度较高的江段有陈村-沙湾段、陈村-顺德港段及外海-虎跳门段,北江及相关河道污染程度和潜在生态风险指数高于区域其他江段.     

谱系聚类法在小区域粮食安全预测中的应用——以昆山市为例

粮食安全对国民经济的可持续发展起着不可替代的基础性作用,小区域由于受政策因素的影响较大,粮食安全相关指标的变化呈一定阶段性,长时间序列的数学规律并不突出,不利于规划工作的展开。论文基于昆山市的研究,提出谱系聚类与数学模型相结合的基本思路,在此基础上推出了聚类结果有效性的量化判定标准并对聚类法运用准则做了深入的探讨。实际数据分析结果表明:昆山的粮食安全相关的社会经济指标变化确实呈明显阶段性;与利用全部时间序列数据建立的模型相比,运用谱系聚类的模型拟合和预测效果都有明显优势;至2015年,昆山市粮食自给率将下降至6%,最小人均耕地面积降低至0.022 hm²。通过进一步的分析、对比及讨论,文章认为,谱系聚类法运用于小区域粮食安全预测,方法可操作性强,结论科学性显著。     

中国旅游业空间集聚与集群化发展研究

旅游产业集聚与集群是联系密切而又有明显区别的一组概念,旅游产业集聚是集群形成的前提,但旅游产业集聚不一定形成集群,影响旅游产业空间集聚和集群发展的因素较多。选择行业集中度、基尼系数、赫芬代尔系数等指标,以相关数据为依据,探讨了中国旅游业的空间集聚问题,指出中国旅游业具有明显的空间集中分布与分散相结合的集聚特征。分析了中国旅游业集群发展现状与存在的问题并提出了相应对策,认为我国旅游业集群化发展是非常必要而且有可能的。     

云贵高原湖区湖泊营养物生态分区技术方法研究

提出一种基于主成分分析、聚类分析、判别分析和空间自相关的分区模型,用于对云贵高原湖区湖泊营养物生态分区的研究.首先运用主成分分析方法对众多指标进行了降维综合处理,产生彼此互补相关又能综合反映湖区情况的4个新指标,累计贡献率达到93.69%,具有充分的代表性,构建了云贵高原湖区湖泊营养物生态分区指标体系.在此基础上,根据各区域新指标值,结合聚类模型初步将湖泊流域分为5类,再利用判别分析完成非湖泊流域的类别判别,最后运用空间自相关分析方法,按聚类结果进行全局自相关分析,Moran’sI为0.320,且检验值Z值为68.2,远大于临界值(显著水平1%所对应的临界值2.58),表明聚类结果与空间位置具有显著相关性,之后运用局部自相关对区域各因素的主成分综合得分的空间分布格局进行了量化分析,揭示了零散分类区块在空间地域分布上的关联和差异,根据关联结果完成最终的分区.结果表明,利用此分区模型可以尽量避免人为因素,得到更为客观的分区结果,具有良好的适应性和可行性,可为探索适合我国湖泊营养物生态分区的指标体系和分区技术方法,完成全国湖泊营养物生态分区和科学地制定我国湖泊营养物基准和富营养化控制标准提供技术支持.     

Fast increasing of surface ozone concentrations in Pearl River Delta characterized by a regional air quality monitoring network during 2006-2011

Based on the observation by a Regional Air Quality Monitoring Network including 16 monitoring stations, temporal and spatial variations of ozone(O3), NO2and total oxidant(Ox) were analyzed by both linear regression and cluster analysis. A fast increase of regional O3concentrations of 0.86 ppbV/yr was found for the annual averaged values from 2006 to 2011 in Guangdong, China. Such fast O3increase is accompanied by a correspondingly fast NOx reduction as indicated by a fast NO2 reduction rate of 0.61 ppbV/yr. Based on a cluster analysis, the monitoring stations were classified into two major categories – rural stations(non-urban) and suburban/urban stations. The O3concentrations at rural stations were relatively conserved while those at suburban/urban stations showed a fast increase rate of 2.0 ppbV/yr accompanied by a NO2 reduction rate of 1.2 ppbV/yr. Moreover, a rapid increase of the averaged O3 concentrations in springtime(13%/yr referred to 2006 level) was observed, which may result from the increase of solar duration, reduction of precipitation in Guangdong and transport from Eastern Central China. Application of smog production algorithm showed that the photochemical O3production is mainly volatile organic compounds(VOC)-controlled. However, the photochemical O3production is sensitive to both NOx and VOC for O3pollution episode. Accordingly, it is expected that a combined NOx and VOC reduction will be helpful for the reduction of the O3 pollution episodes in Pearl River Delta while stringent VOC emission control is in general required for the regional O3 pollution control.     

Relationships between vitamin A and PCBs in grey seal mothers and pups during lactation

A previous study has shown a simultaneous increase of vitamin A and PCBs in grey seal (Halichoerus grypus) milk at late lactation (Debier et al., 2004). Here we sought to understand this unexpected relationship by comparing the dynamics of vitamin A and PCBs in the different tissue compartments of transfer. Lactating grey seals and their pups were sampled longitudinally in Scotland during the 2006 breeding season. As blubber reserves decreased, concentrations of vitamin A and PCBs increased during lactation in the inner layer of maternal blubber. A concomitant rise was observed in milk and consequently in the serum of suckling pups. The similar dynamics of vitamin A and PCBs in milk and inner blubber suggest a common mechanism of mobilisation from maternal body stores and transfer into the milk. A panel data analysis highlighted a negative impact of PCBs in milk and pup serum on vitamin A status in pup serum.     

应用模糊聚类方法进行四川国土分区研究

本文介绍采用模糊聚类方法进行四川省国土综合分区研究的情况和主要结果。提出将全省划分为8个国土区的结论,论述了各区的前景,探讨了定性与定量分区方法的先进性。     

非时序加权灰色关联分析在环境质量综合评价中的应用

本文根据灰色关联分析的基本性质，提出一种环境质量综合评价的新方法。该方法用待评价样本各指标值组成参考数列，环境质量分级标准值组成被比较数列，通过计算参考数列与被比较数列的关联度，按最优关联识别原则综合评价环境质量等级。用４个实例与其它方法进行了对比，取得满意的效果。     

灰色系统方法在城市生活垃圾量预测中的应用

利用灰色关联分析方法分析了影响城市生活垃圾量的因素，建立了生活垃圾量的ＧＭ（１，１）预测模型，预测了未来的城市生活垃圾量。该法具有较高的精度，简便，可行。     

APPLICATION OF GREY MODEL AND ARTIFICIAL NEURAL NETWORKS TO FLOOD FORECASTING1

The main focus of this study was to compare the Grey model and several artificial neural network (ANN) models for real time flood forecasting, including a comparison of the models for various lead times (ranging from one to six hours). For hydrological applications, the Grey model has the advantage that it can easily be used in forecasting without assuming that forecast storm events exhibit the same stochastic characteristics as the storm events themselves. The major advantage of an ANN in rainfall‐runoff modeling is that there is no requirement for any prior assumptions regarding the processes involved. The Grey model and three ANN models were applied to a 2,509 km² watershed in the Republic of Korea to compare the results for real time flood forecasting with from one to six hours of lead time. The fifth‐order Grey model and the ANN models with the optimal network architectures, represented by ANN1004 (34 input nodes, 21 hidden nodes, and 1 output node), ANN1010 (40 input nodes, 25 hidden nodes, and 1 output node), and ANN1004T (14 input nodes, 21 hidden nodes, and 1 output node), were adopted to evaluate the effects of time lags and differences between area mean and point rainfall. The Grey model and the ANN models, which provided reliable forecasts with one to six hours of lead time, were calibrated and their datasets validated. The results showed that the Grey model and the ANN1010 model achieved the highest level of performance in forecasting runoff for one to six lead hours. The ANN model architectures (ANN1004 and ANN1010) that used point rainfall data performed better than the model that used mean rainfall data (ANN1004T) in the real time forecasting. The selected models thus appear to be a useful tool for flood forecasting in Korea.