东湖典型区域间隙水中营养盐的时空分布

以富营养化程度严重的浅水湖泊东湖为研究对象,通过持续采样调查,分析并比较了3个典型采样点柱状沉积物间隙水中营养盐的垂直分布和季节变化特征,结果表明东湖沉积物间隙水中营养盐浓度最高值一般出现在-5 cm以上,-5～-10 cm之间有一个快速降低的过程,-10～-26 cm之间趋于稳定,但也有小幅的波动;冬季间隙水中营养盐浓度明显低于其他季节,夏秋两季略高。分析认为沉积物间隙水中营养盐浓度受附近污染源直接影响较大,与上覆水水质有一定相关性,但不显著。间隙水中营养盐的季节变化主要因为冬季污染排放减少加速了间隙水中营养盐向上覆水的扩散、减少了水中营养盐在沉积物表层的沉积,以及温度降低导致微生物活动减少进而降低了有机物的矿化分解量。并且认为常规疏浚深度就可以有效移除东湖表层污染严重的沉积物     

江苏阳澄湖螺类群落的空间分布格局

2008年1月～2009年10月对江苏阳澄湖螺类群落结构进行了季节调查研究。共采集到螺类4科5属6种,优势种为铜锈环棱螺,次优种为长角涵螺。阳澄湖螺类平均密度为220±47 ind./m2,平均生物量为2331±469 g/m2,螺类密度和生物量在年际和季节间均无明显差异,但群落结构存在显著的空间变化,密度在东湖区和中华绒螯蟹围网养殖区较大、西湖区最小,生物量围网养殖区最高、西湖区最低;铜锈环棱螺密度围网养殖区最高、西湖区最低,长角涵螺密度东湖区最高、围网养殖区次之、入湖河流及其它湖区极低。中华绒螯蟹养殖未导致围网养殖区螺类数量下降,螺类（主要是铜锈环棱螺）的投放可能是该区螺类密度、生物量及铜锈环棱螺所占比例较高的主要原因之一。逐步回归分析表明,水深是影响螺类群落整体密度和生物量空间分布差异的主要因子;典型对应分析（CCA）表明,铜锈环棱螺主要分布在叶绿素a较高的水域,而长角涵螺和纹沼螺则主要分布在透明度较大的地方     

山东半岛城市群地区空间极化及其影响因素研究

以县（市）作为研究单元,采用综合指数法,分别计算山东半岛城市群1986、2008年经济社会发展综合指数,通过比较各单元经济社会发展综合指数的变化,研究了20世纪80年代以来山东半岛城市群地区空间极化的特点;采用面板数据模型,定量探讨了山东半岛城市群地区空间极化的影响因素。研究表明：山东半岛城市群地区经济活动有明显的经济中心指向、沿海指向,空间发展依然以极化为主,新的发展极已经出现,但分布在区域的边缘地带,带动作用不大;大都市区整体规模加剧膨胀,核心和外围地区出现极化和反极化现象;东部地区出现网络化发展的雏形。原有经济基础、产业结构转换能力和经济全球化水平是改革开放以来山东半岛城市群地区空间极化的主要影响因素     

Spatial Variation and Space Optimization of the Development of China＇s Circular Economy

China＇s circular economy is still at the initial stage, whose development has many difficulties and problems requir- ing immediate resolution theoretically and practically. Due to the differences of re...     

Residence and place image

Data are presented for a particular population on its perception of English and Welsh local authority areas in terms of desirability for residence. The method employed permits a distinction between positive and negative judgements as well as a measure of the differing degree to which areas figure in the mind at all. It is established that the areas are seen in terms of a sharply differentiated hierarchy of preference and that there is considerable variation in the extent to which areas are “visible”. In aggregate negative judgements predominate and the most frequently expressed attitude is strong dislike. Places in the south‐west are popular as are some places in the north. London Boroughs are unpopular although in varying degrees. The most favoured place is Cornwall and the least favoured is Wolverhampton. It is argued that perceptions studied in the “direct” way used here are important to complement those employing an “oblique” method in which criteria of choice are assumed or established by social survey and then used to create a profile of preference against which places can be measured and ranked.     

Evaluating the effects of spatial monitoring policy on groundwater quality portrayal

What size sample is sufficient for spatially sampling ambient groundwater quality? Water quality data are only as spatially accurate as the geographic sampling strategies used to collect them. This research used sequential sampling and regression analysis to evaluate groundwater quality spatial sampling policy changes proposed by California's Department of Water Resources. Iterative or sequential sampling of a hypothetical groundwater basin's water quality produced data sets from sample sizes ranging from 2.8% to 95% coverage of available point sample sites. Contour maps based on these sample data sets were compared to an original (control), mapped hypothetical data set, to determine at which point map information content and pattern portrayal are not improved by increasing sample sizes. Comparing series of contour maps of ground water quality concentration is a common means of evaluating the geographic extent of groundwater quality change. Comparisons included visual inspection of contout maps and statistical tests on digital versions of these map files, including correlation and regression products. This research demonstrated that, down to about 15% sample site coverage, there is no difference between contour maps produced from the different sampling strategies and the contout map of the original data set.     

全息理论与灾害周期性

地球系统是宇宙系统的全息缩影，地球上的灾害和天体之间具有全息关系，同样有恒定的周期性。本文根据全息理论对灾害进行分析预测，并建议在灾害研究中应用全息理论．     

Modeling the Suitability of Potential Wetland Mitigation Sites with a Geographic Information System

Wetland mitigation is frequently required to compensate for unavoidable impacts to wetlands. Site conditions and landscape context are critical factors influencing the functions that created wetlands perform. We developed a spatial model and used a geographic information system (GIS) to identify suitable locations for wetland mitigation sites. The model used six variables to characterize site conditions: hydrology, soils, historic condition, vegetation cover, adjacent vegetation, and land use. For each variable, a set of suitability scores was developed that indicated the wetland establishment potential for different variable states. Composite suitability scores for individual points on the landscape were determined from the weighted geometric mean of suitability scores for each variable at each point. These composite scores were grouped into five classes and mapped as a wetland mitigation suitability surface with a GIS. Sites with high suitability scores were further evaluated using information on the feasibility of site modification and project cost. This modeling approach could be adapted by planners for use in identifying the suitability of locations as wetland mitigation sites at any site or region.     

Geographic Analysis of Forest Health Indicators Using Spatial Scan Statistics

Geographically explicit analysis tools are needed to assess forest health indicators that are measured over large regions. Spatial scan statistics can be used to detect spatial or spatiotemporal clusters of forests representing hotspots of extreme indicator values. This paper demonstrates the approach through analyses of forest fragmentation indicators in the southeastern United States and insect and pathogen indicators in the Pacific Northwest United States. The scan statistic detected four spatial clusters of fragmented forest including a hotspot in the Piedmont and Coastal Plain region. Three recurring clusters of insect and pathogen occurrence were found in the Pacific Northwest. Spatial scan statistics are a powerful new tool that can be used to identify potential forest health problems.     

Spatial Pattern of Ecosystem Function and Ecosystem Conservation

The spatial pattern of ecosystem function can affect ecosystem conservation. Ecosystem functions are often heterogeneous spatially due to physical and biological factors. We can influence ecosystem functions by changing the spatial patterns of the physical and biological elements of an ecosystem and regulating their combinations. The variation–position effect highlights a phenomenon resulting from the spatial pattern of ecosystem function. The effect shows that the identical variation of a factor may produce different effects on the overall situation when this variation occurs in a different spatial position. In a watershed of the Yangtze River, water retention is a primary ecosystem function. The variation–position effect for water retention capacity occurs in the watershed because of the spatial heterogeneity in vegetation, soil, and slope. The change of vegetation that occurs in a complex can affect the overall situation of water retention, and the effect can be different due to the change occurring in the position holding different vegetation-soil-slope complex. To improve the ecosystem in the watershed and to meet the social needs for the ecosystem function of water retention, a strategy called ecosystem function and spatial pattern-based forest extension was proposed to conserve forests. The implementation of the strategy enables the watershed to attain the maximum effective increase in water retention capacity.