Space Changes in the Rural Tourism Area of Mufu Town,Hubei Province,China

In a society dominated by tourism consumption, space changes occurring in rural areas can generally reflect their social changes. On the theoretical basis of flow, regeneration and adaptation of rural tourism space, this paper originally and creatively proposes that the spatial elements in a rural tourist area can be classified into three categories: Attractions (A), Towns (T) and Villages (V). By analyzing the spatial transformation characteristics of A, T and V, five types of rural spatial transition modes are found, the types of heritage, theme park, those serving as scenic spots, leisure industrial clusters and ecotourism areas. These different classes emerge due to their geographical differentiation. They show the same spatial evolution trend: The Attractions are distributed throughout the whole area and characterized by diversification; supporting services facilities gather in the Towns; and the Villages are landscape images. In this area the traditional rural benefit trends toward that of compound development. Mufu Town, Hubei province, is taken as a study case, and the changing characteristics of A, T and V from 2006 to 2016 are described. Problems in the process of establishing the new spatial order are considered. In order to realize the synergy between production space, living space and ecological space, the interactive development between Attractions, Towns and Villages is recommended. The perspective of Attraction-Town-Village (ATV) can lead to a better understanding of the situation of tourism space in rural areas and provide directions for thinking about the reconstruction path for the modernization of traditional societies.     

pCO2 and carbon fluxes across sea-air interface in the Changjiang Estuary and Hangzhou Bay

Partial pressure of CO2(pCO2) was investigated in the Changjiang(Yangtze River) Estuary,Hangzhou Bay and their adjacent areas during a cruise in August 2004,China.The data show that pCO2 in surface waters of the studied area was higher than that in the atmosphere with only exception of a patch east of Zhoushan Archipelago.The pCO2 varied from 168 to 2 264 μatm,which fell in the low range compared with those of other estuaries in the world.The calculated sea-air CO2 fluxes decreased offshore and varied from -10.0 to 88.1 mmol m-2 d-1 in average of 24.4 ± 16.5 mmol m-2 d-1.Although the area studied was estimated only 2 × 104 km2,it emitted(5.9 ± 4.0) × 103 tons of carbon to the atmosphere every day.The estuaries and their plumes must be further studied for better understanding the role of coastal seas playing in the global oceanic carbon cycle.     

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北京高科技产业集群衍生效应及其影响分析——基于中关村科技园区的案例研究

以北京高科技产业集群衍生效应的分析为核心,将衍生效应分为两大类:企业衍生效应和技术衍生效应.通过实证研究.分析出衍生效应的主要表现形式,并以此为基础设定分析标准,用以反映北京高科技产业集群的发展特点.研究发现:衍生效应能够提升竞争优势和智力资源的利用效率,对高科技产业集群的发展有积极意义;同时,衍生效应能够强化集群专业化分工,促进技术扩散;技术衍生效应能促进企业规模化和专业化,而企业衍生效应强化了集群内部的竞争,能促进技术创新和研发投入.     

黄土高原大南沟流域非耕地中土壤养分变化

选取黄土高原区大南沟流域非耕地中灌木林地、摞荒地、荒草地、林地土壤养分数据,利用常规数据处理软件进行分析,得出如下结论:(1)水土流失造成摞荒地中土壤养分最低,需要把摞荒地改为灌木林地或林地;(2)磷含量从生长季开始随着时间推移一般呈现逐渐降低趋势,主要是水土流失造成的;(3)改变非耕地土地利用结构,增加地表植被覆盖率;占黄土高原一半以上的非耕地区是环境脆弱区之一,非耕地区土壤养分变化对环境产生重要影响,为土地利用结构的改变和当地的可持续发展提供理论支持.     

城市植被覆盖变化可预测性及其空间格局的定量递归分析——以深圳市为例

由于人口的快速增加和经济要素的大量聚集,城市是下垫面性质改变最为显著的区域。本文应用定量递归分析技术对1999~2006年逐旬的1km SPOT-VEGETATION NDVI数据进行分析,以期揭示NDVI时间系列的非线性动态特征及其空间格局。研究结果表明,深圳市的NDVI时间系列的RQA特征值居于随机系列和确定性系列之间,属于含有随机成分的确定性系列。不同覆被类型下NDVI系列的特性不同,林地区的NDVI系列规则性最高,农地区次之,建设用地区最差,表明人类活动作为一种噪声对于NDVI系列性质的扰动。用二阶Rényi熵作为NDVI系列的可预测性指标,其空间格局表现为海拔高、坡度大、林地分布集中的西北和东南部可预测性高,而海拔相对低、建设用地相对集中的中南部地区可预测性低。     

西安城市化对气温变化趋势的影响

利用1951-2006年西安及周围3站点的气象数据分析了城市气温变化和周围台站温度变化的差异,给出了4个测站不同阶段、不同季节城市化影响气温变化的趋势系数及线性变化趋势。结果表明：城市化对气温的影响具有明显的阶段性和季节性。1980年以前,无论平均气温还是月最低气温和最高气温,西安与其周围站点的线性趋势系数及线性变化趋势相差不大;但在1980年以后,城市站的线性趋势系数明显大于周围站点的趋势系数,特别是在1993年以后,西安站的平均气温、最高和最低气温线性趋势系数远大于其周围站点的趋势系数,是周围站点的1.6~3.5倍,说明城市的热岛效应不但提高了城市的温度同时也改变城市的增温率,使得城市气温增温率加大。西安及其周围站的线性增暖趋势在春季最大,其中西安达到2.20 ^oC/10a,是其它季节的2~4倍;秋季的线性增暖幅度次之,夏季最小。热岛效应对最高气温的最大贡献在春季,对最低气温的最大贡献在冬季。     

汾河水库以上流域径流变化与洪水频率分析

根据1970—2004年的实测水文资料,采用水文学及统计方法分析了汾河水库控制流域的径流量变化及其原因,同时还计算了不同重现期的控制站的洪峰设计值。结果表明,入库控制站静乐和上静游站丰、平和枯水水平年不同步,在20世纪70和80年代发生丰水和平水年份比较多,在90年代后枯水年份比较多,多干旱年份。水库控制流域洪水主要集中在7月、8月,同时极端洪涝和干旱事件出现的频次增多。以静乐站为代表分析降水对径流变化的结果表明,高强度降水在量级和次数上存在波动变化的态势,年径流的时序变化主要是受年降水量的变化影响。     

按新旧规范设计的多层住宅砖房地震易损性的对比

本文采用概率方法借助于拉丁超立方采样技术和非线性地震反应时程分析对按现行规范设计的多层住宅砖房的地震易损性进行分析,并与按上一代规范设计的多层住宅砖房的地震易损性分析结果[1]进行了比较,为进一步研究这类结构的地震安全性、未来地震的损失预测以及防震减灾对策奠定基础。     

基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因（英文）

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.