STUDY ON THE MIGRANT LABOUR FORCE OF CHINA IN RECENT YEARS──A Case Study of Nanhai City of Guangdong Province

I.INT~IOWFOralOngthe,thesyStemofPermanentresidencempistrationhasdividedChineseampleintOthO8ewith"tirbanresidence"andthOSehaving"rUralresidence".TherationingsyStem,underwhichedibleoilandgrainwasdistributedonlytOthOSewith"urbanresidence"Calds,hasbeendondnant.Bothsystems,beingcentraltorestrictingthegrowthofurbanpopulation,havestagnatedrUral-tirbaningration.Duringthe30yearsbefore1978,thestatedidsPOnsorpopulationmovementsfromrUraltourbanareasbymeansofenrollingnewworkers,butingeneral,thiss…     

Relationship between the variation of water quality in rivers and the characteristics of watershed at Miyun,Beijing, China

Based on the characteristics of land use and drainage network of the upper watershed of the Miyun Res-ervoir, Beijing, 26 monitoring and sampling sites were selected in different sub-catchments. Temporal and spatial variations in nutrient loss were dealt with in this paper in terms of the monitoring data on the water quality of the main tributaries flowing into the Miyun Reservoir. In combination with the monitoring data on water quality, the impacts of watershed characteristics including land-use type, landscape pattern, and drainage density were assessed, The concentrations of nutrients in the rainy season are higher than those in other seasons, and the concentrations of NO3--N are linearly related to those of total N which is the main form of nitrogen present in the fiver water. The concentrations of nitrogen become higher toward the reservoir along the main rivers. The seasonal variation of ni-trogen in the watershed affected by intensive human activities is very obvious; in the watershed with steady or low water flow, the seasonal variation of nitrogen is less obvious. Forest land and grassland can trap and filter nitrogen effectively. Land-use pattern also has important impacts on the loss of nitrogen. The concentrations of nitrogen and phosphorus in the water bodies show great temporal and spatial variations. On a temporal scale, the concentrations of TN and TP in the rainy reason are higher than those in other seasons. On a spatial scale, the concentrations of TN and NO3--N in the Qingshui River and Chaohe River are highest all the time. The spatial variation of TP is distinct, being obvious at sampling sites near villages. The form of nitrogen and phosphorus loss varies in different hydrological seasons. Dissolved nitrogen and phosphorus are the main forms in streams in non-rainy seasons, the dissolved nitro-gen and total nitrogen decrease in percentage in the rainy season. Particulate nitrogen and phosphorus are the main forms in some rivers. The concentrations of TN and NO3--N from orchards and villages are high whereas those from forest land are lowest. Land-use pattern has impacts on TN and NO3--N losses, at the sampling sites near the source landscape, the concentrations are higher than those at the sampling sites near the sink landscape. Water quality of the rivers which flow into the Miyuan Reservior is influenced by the composition of adjacent soils.     

On the Polyps of the Common Jellyfish Aurelia aurita in Kagoshima Bay

There is the natural habitat of polyps of the common jellyfish Aurelia aurita in the Taniyama area, Kagoshima Bay. We examined the attachment substrata, density, colony structure and strobilation of the polyps. The polyps were observed only on the horizontal undersurface of floating piers. They attached specifically to Mytilus shells, solitary ascidians, calcareous polychaete tubes, muddy amphipod tubes and the gap space that fouling animals peeled off the substrata. The polyp colonies were distributed in patches. Spatial distribution patterns of the polyps within their colonies were uniform. Strobilation occurred during late December to March, when water temperatures were 16–17°C, and a large number of ephyrae were released. An increase in man-made structures such as floating piers in coastal areas may lead to bloomings of Aurelia aurita medusae. This revised version was published online in July 2006 with corrections to the Cover Date.     

江汉平原粮食产量空间格局分析

基于湖北省第一次地理国情普查数据、基础地理信息数据和统计年鉴等资料,采用洛伦兹曲线、Moran指数等对江汉平原典型4个粮食主产区监利县、洪湖市、仙桃市、潜江市的粮食产量空间格局进行了分析和研究。研究表明:①洪湖市耕地资源与粮食产量间的对应关系较为平等,粮食单产稳定,粮食生产空间聚集显著;②监利县、潜江市与仙桃市的耕地、粮食产量表现出极弱空间相关性或无相关性,粮食生产能力相对较差,耕地资源及产量未表现出空间聚集优势。该结论可为农业部门制定农业生产计划和发展规划提供良好的数据支撑,为地理国情普查成果的应用提供借鉴。     

干、湿环境下中尺度对流系统发生的环流背景和地面特征分析

对2007～2010 年暖季(6～9 月)发生在江淮和黄淮流域46 个对流天气过程的环流背景和地面特征进行了统计研究。根据整层可降水量小于或大于等于50 mm 将这些个例发生的环境分成干环境(10 个个例)和湿环境(36 个个例)。干环境下发生强对流的天气形势可以分为槽后型和副高边缘型,湿环境下的天气形势可分为槽前型、副高边缘型和槽后型,湿环境下有明显的暖湿区配合。湿环境下槽前型发生的概率最高,地面系统较为复杂,有静止锋、倒槽、冷锋和暖锋,而干环境下在本研究的个例中无槽前型发生。干、湿环境下副高边缘型的对流,从地面到500 hPa 都发生在副高后部的“S”流型的拐弯处,但部分湿环境个例低层有切变线。干环境下槽后型的发生概率较高,而湿环境下发生概率则相对较少。由这些研究表明,干、湿环境下强对流系统的触发和维持机制存在明显的差异。     

夏季中国降水型的年代际变化与大气内部动力过程及外强迫因子关系

根据中国160站月平均降水、NCEP/NCAR的再分析资料以及英国气象局哈德莱中心1900～1999年全球1°×1°格点月平均海表温度距平资料,利用物理量诊断、EOF分析等方法,探讨东亚季风区大气环流内部动力过程与大气外强迫因子（海温）年代际变化及对中国夏季降水型的影响。分析发现,中国东部地区、西北地区夏季降水型有各自不同的年代际变化趋势;中国东部夏季降水型及东亚夏季风环流年代际变化趋势与大气外强迫因子北太平洋中纬度海温年代际变化（PDO）关系密切;中国西北地区夏季降水年代际变化与大气内部动力过程中纬度西风带扰动动能年代际减弱有关。     

基于DMSP-OLS和珞珈一号夜光遥感影像的粤港澳大湾区城市空间格局演变

夜光遥感影像数据可有效反映城市空间格局变化。本文基于1992—2012年的DSMP-OLS夜光遥感影像和2018年的珞珈一号遥感影像,利用分层阈值法提取粤港澳大湾区内各城市建成区;通过计算平均灯光强度、平均灯光增长速率、城市建成区面积、城市建成区增长速率、城市重心、城市重心偏移距离等一系列指数,揭示区内各城市的空间格局演变过程。研究结果表明:①1992—2018年,粤港澳大湾区的城市规模大幅增长,沿珠江口两侧形成了以澳门、广州、深圳和香港为核心的倒“U”形城市群,并呈辐射状向周边扩张。②以珠江口为界,粤港澳大湾区东部各个城市的发展水平整体高于西部各个城市,广州、深圳、香港等核心城市发展水平明显高于江门、肇庆、惠州等外围城市。③1992—2018年,粤港澳大湾区建成区的增长速率由小变大,最后逐渐趋于稳定,2002—2007年是城市扩张最迅猛时期。④1992—2018年,粤港澳大湾区的各城市重心迁移方式表现为3种类型:持续向区域中心迁移;持续向相邻城市邻接区迁移;持续向海洋方向迁移。大部分城市的重心迁移方向呈“震荡”特征。     

黑龙江省耕地非农化的空间格局与重心曲线分析

为了揭示耕地非农化的空间格局与重心曲线,为耕地资源保护和利用政策制定提供决策支撑,该文以黑龙江省1980、1990、2000、2010、2015年土地利用数据为基础,运用GIS空间分析方法,引入重心模型分析黑龙江省耕地非农化的空间格局及重心曲线。研究结果表明:1980—2015年黑龙江省耕地非农化发展不平衡,4个时期耕地非农化面积呈波动增长的趋势;耕地非农化等级空间分布特征明显,等级较高的城市集中分布在西部地区;耕地非农化速度等级的重心曲线在空间分布上,具有从中心向边缘延伸的特点;耕地非农化围绕中心地区进行,其空间扩散路径在图形上呈现出一个回旋状。     

空间层次聚类显著性判别的重排检验方法

同时顾及空间邻近与专题属性相似的空间层次聚类是挖掘空间分布模式的一种有效手段。空间层次聚类方法虽然可以获得多层次的聚集结构,但聚类结果显著性的统计判别依然是一个尚未解决的难题。为此,本文提出了一种空间层次聚类结果显著性的统计判别方法,用于确定空间层次聚类的停止准则,减少聚类过程对参数设置的依赖。通过试验分析与比较发现,该方法能够有效判别空间层次聚类结果的显著性和确定层次聚类合并过程的停止条件,同时具有很好的抗噪性,避免随机结构的干扰。     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.