长江经济带入境旅游经济时空格局动态性——基于ESDA&GWR法

以5 a为时间间隔,运用ESDA法采用旅游外汇收入平均增长量和平均增长率指标,研究长江经济带126个市域单元2000~2015年入境旅游经济的空间格局演化特征,运用GWR法分析入境旅游经济影响因素的空间异质性。结果表明：（1）长江经济带旅游外汇收入平均增长量莫兰指数经历了 0.164 6~0.164 1~0.057 2的变化趋势,增量相似市域由较强集聚向较弱集聚转化,市域旅游经济增长趋于均衡。一级热点区始终位于江浙沿海市域。一级冷点区由研究区中部向苏北转移,空间范围大大缩小。（2）长江经济带旅游外汇收入平均增长率莫兰指数表现为 0.098 6~0.293 1~0.198 9 的变化趋势,市域之间旅游经济增长关联程度增强,总体差异逐渐缩小。一级冷热点区大幅度转移,同时热点区范围大幅度扩大。后期热点市域数量大大超过冷点市域数量。（3）入境旅游发展较为落后的湖南省、云南省增长速度最快,长三角城市群所属市域始终是入境旅游经济增长最活跃的地区。     

岷江流域三江交汇区景观格局变化研究

本文以生态景观理论为基础,地理信息与遥感技术为支撑,对岷江流域三江交汇区三期遥感数据,1990年TM、2002年TM、2014年ETM+数据进行图像分类、景观指数提取、空间分析,同时采用面积转移矩阵统计各景观面积的转移情况,分析景观格局变化的影响因素,研究结果表明:(1)1990—2014年三江交汇区景观类型面积排序为:农田林地草地水域居民地裸地。优势景观为耕地,所占比例由72.83%下降到63.32%,面积减少了3480hm2。草地所占比例呈现波动变化,总体增加了2.81%。林地比例由15.98%上升到18.79%,增加了700hm2。居民地所占比例升高了4.1%;(2)1990年研究区内草地景观易受到外部干扰,其分布形状复杂。林地景观整体聚合度较高同时具有较低的异质性,分布通透性好、规模连续。农田分布较为分散且斑块较小。2002年农田斑块分布复杂化,同时具有聚集度高的特点。2014年研究区内农田优势地位下降。此时农田分布比较破碎并且呈现集中的态势。草地分布规模性较好、分布较为完整,但是内部存在一定的破碎性;(3)三江交汇区景观类型相互转化的主要原因:一是,退耕还林、还草政策实施,海拔超过500m的丘陵山地区域,建立生态保护区。二是,成绵乐铁路和高速路网的完善,使得三江交汇区的土地类型向建设用地转化加快,主要集中在乐山市中区和周围城镇。     

山岳景区依托型乡村旅游就业吸附的空间特征

乡村振兴战略和乡村产业转型发展背景下,休闲旅游产业在乡村地域的兴起扰动了当前就业人口由乡村向城镇流动的宏观趋势,乡村旅游就业吸附正从微观上改变着城乡间劳动力空间流动的格局和过程。为科学理解乡村旅游就业吸附引起城乡劳动力空间流动发生变化的特征与机制,文章基于在浙晋山岳景区依托型乡村旅游地深度访谈的一手数据,分析了乡村旅游就业人口流动的空间分布特征、就业吸附的空间模式和过程机制。结果表明:①山岳景区依托型乡村旅游就业吸附呈现距离衰减和空间层级结构的特征,0~4 km为核心层、4~12 km为过渡层、12 km以上为外缘层;但在不同社会经济发展环境下该特征存在区域差异,欠发达地区乡村旅游就业吸附的空间集中性,比发达地区更加明显。②研究从城乡地域空间系统的视角,基于人口转移“推—拉”理论对乡村旅游就业人口空间流动特征和影响机制进行分析,发现山岳景区依托型乡村旅游就业吸附呈现以城镇、乡村为就业吸附极,以城乡接合部为吸附效用“分水岭”的空间模式;其中,连接城乡间的便捷交通是乡村旅游就业吸附实现的关键介质。③基于乡村旅游就业吸附空间适用性,文章针对性提出了“空间围栏效应”的概念。文章不仅从微观尺度上丰富了乡村旅游就业人口空间流动特征、过程、模式等的理论认识,而且对切实指导乡村地域在乡村旅游开发实践中理性理解乡村旅游的就业促进作用,提升乡村旅游开发规划和投资的效率具有积极意义。     

加速度均方根地震动统计研究

根据美国加州等地的强震记录,采用回归分析方法研究了加速度记录水平、竖向分量的峰值加速度(PGA)和一定时间窗内加速度均方根(SRSTM S)的衰减规律。所采用的加速度记录共795组(两水平向与一竖向)2 385条。对作为地震危险性分析的主要参数PGA的衰减规律与SRSTM S的衰减规律作了详细的研究,结果表明,SRSTM S的离散性明显的小于PGA,因此建议将SRSTM S的衰减关系应用于地震动强度的危险性分析。     

洪湖营养盐时空分布特征及成因分析

洪湖是江汉平原重要的淡水水体.为了揭示洪湖营养盐时空分布特征和原因,开展了对洪湖为期一年的采样调查,连续采集12个月水样和一次沉积物样品,测定样品中营养盐含量.结果表明:(1)洪湖水体营养盐污染水平较高,除氨氮(NH4+-N)外,总氮(TN)、总磷(TP)和高锰酸盐指数(CODMn)难以达到Ⅱ类.(2)空间上有机物污染...     

基于知识的管道系统泄漏检测方法

提出了3种基于知识的管道系统泄漏检测方法,分别是:通过对负压波波形分段符号化处理,采用上下文无关法表示波形结构模式的模式识别诊断系统;以选取合适维数的功率谱特征向量而建立的神经网络泄漏检测系统;与泄漏机理数学模型结合的泄漏诊断专家系统。     

Spatial Patterns of Water Quality in the Cuiabá River Basin, Central Brazil

This study evaluates the spatial patterns of land occupation and their relationship to water quality in the Cuiabá River watershed, one of the main affluents of the Pantanal floodplain. The impact of farming and other land occupation forms were studied using a three year time series. Monitoring included 15 parameters at 21 stations with a total of 1266 different samples. Ten stations along the Cuiabá River were ordinated by Principal Component Analysis (PCA). For an exploratory analysis in the spatial domain, sub-basins of the Cuiabá watershed were classified according to mean concentrations of selected water quality parameters. Supervised classification of digital Landsat ETM imagery and standard GIS techniques were applied to parameterize land use and occupation according to a watershed scale. Redundancy Analysis (RDA) was then used to evaluate impacts of environmental and socio-economic factors on water quality.A Cuiabá headwater station only shows slightly elevated total coliform counts and concentrations of nutrients in the river after it passes regions of extensive cattle farming. After the confluence with the Manso River, nutrient and COD concentrations increase significantly, receiving loads from sub-basins under intensive agricultural land use, with mean annual concentrations up to 1.74 mg/L of total nitrogen (Kjedahl). Sub-watersheds with intensive fishing culture activities were shown to have significant impact on nitrogen concentrations, reaching mean concentrations of 2.66 mg/L of total nitrogen in the affluents. Most serious biological and chemical water pollution can be observed at stream outlets in the urban agglomeration of Cuiabá/Várzea Grande. Affluent pollution is reflected in the water quality of the Cuiabá River: subsequent monitoring stations in the urban area are ordinated on a gradient of increasing degradation of chemical and biological water quality. The auto-depuration capacity of the Cuiabá River is intact, but elevated concentrations of Phosphorous and Chemical Oxygen Demand can be observed as far away as the Pantanal floodplain, about 120 km downstream from the urban agglomeration.     

Development of a Grassland Integrity Index Based on Breeding Bird Assemblages

We utilized landscape and breeding bird assemblage data from three Breeding Bird Survey (BBS) routes sampled from 1965–1995 to develop and test a grassland integrity index (GII) in a mixed-grass prairie area of Oklahoma. The overall study region is extensively fragmented from long-term agricultural activity, and native habitat remnants have been degraded by recent encroachment of woody vegetation, namely eastern redcedar (Juniperus virginiana L.). The 50 individual bird survey points along the BBS routes, known as stops, were used as sample sites. Our process first focused on developing a grassland disturbance index (GDI) as a measure of cumulative landscape disturbances for these sites. The GDI was based on five key landscape variables identified in an earlier species-level study of long-term avian community dynamics: total tree, shrub, and herbaceous vegetation cover indices, overall mean landscape patch size, and grassland patch core size. The GII was then developed based on breeding bird assemblage data. Assemblages were based on commonly used response guilds reflective of five avian life history parameters: foraging mode/location, nesting location, habitat specificity, migratory pattern, and dietary guild. We tested the response of 78 candidate assemblage metrics to the GDI, and eliminated those with no or poor response or with high correlations (redundant), resulting in 13 metrics for use in the final index. Individual metric scores were scaled to fall between 0 and 10, and the cumulative index to range from 0 to 100. Although broader application and refinement are possible, the avian-based GII has an advantage over labor-intensive, habitat-based monitoring in that the GII is derived from readily available long-term BBS data. Therefore, the GII shows promise as an inexpensive tool that could easily be applied over other areas to monitor changes in regional grassland conditions.     

Urban Air Pollution Patterns, Land Use, and Thermal Landscape: An Examination of the Linkage Using GIS

This article investigates the relationship of local air pollution pattern with urban land use and with urban thermal landscape using a GIS approach. Ambient air quality measurements for sulfur dioxide, nitrogen oxide, carbon monoxide, total suspended particles, and dust level were obtained for Guangzhou City in South China between 1981 and 2000. Landsat TM images and aerial photo derived maps were used to examine city's land use and land cover at different times and changes. Landsat thermal infrared data were employed to compute land surface temperatures and to assess urban thermal patterns. Relationships among the spatial patterns of air pollution, land use, and thermal landscape were sought through GIS and correlation analyses. Results show that the spatial patterns of air pollutants probed were positively correlated with urban built-up density, and with satellite derived land surface temperature values, particularly with measurements taken during the summer. It is suggested that further studies investigate the mechanisms of this linkage, and that remote sensing of air pollution delves into how the energy interacts with the atmosphere and the environment and how sensors see pollutants. Thermal infrared imagery could play a unique role in monitoring and modeling atmospheric pollution.     

基于最优粒度的城市热环境与景观特征耦合分析

综合Landsat和国产高分2号遥感影像反演地表温度、划分地表覆被类型,通过划分100m×100m～1000m×1000m等多个网格单元,分析北京市五环内热环境影响因素的粒度效应;并基于最优粒度分析城市景观组分和构型特征与热环境特征的相互关系.结果表明:随粒度增加,网格单元内平均地表温度和不透水地表(IS)、植被水体(...