深圳农民工集聚空间的演变特征及影响机制

以2000年、2010年人口普查数据和2008年珠江三角洲外来农民工问卷调查为基础数据,以街道为单元,运用数理统计分析和GIS空间技术揭示深圳农民工集聚空间演变特征及其影响机制。研究发现：① 深圳农民工以青年为主体,具有受教育水平高、职业转型模式多样、留城意愿较低和社会空间分异度较高等特征。② 农民工规模呈现西北部最高、中部其次、沿海最低的地带性分布规律,农民工高密度地区主要分布在工业集中区和城市中心区;热点区（高聚集区）集中在西部和北部的宝安区和龙华新区,冷点区（低聚集区）则分布在南部的中心城区,与传统制造业布局相一致。③ 农民工空间演化格局相对稳定,全市农民工分布重心逐步向西北偏移;全市农民工集中度略有上升,热点区基本稳定,冷点区有所扩大;农民工人口密度高值由“1个高中心+1个外围中心”逐步演变为“1个高中心+2个外围中心”;农民工空间变化差异较大,增长演变类型呈多样化。④ 深圳农民工分布的时空演变特征与常住人口存在较为明显的差异。⑤ 农民工集聚空间的分布演变受住房因素、就业机会、交通条件、社会网络、城市规划共同影响。     

北京地区夏季极端降水变化特征及城市化影响

利用1981-2016年京津冀地区174个国家站逐日降水资料,采用百分位方法和线性倾向估计方法对京津冀地区极端降水的时空分布特征及演变趋势进行了分析。结果表明：（1）对于京津冀地区极端降水空间分布,不同百分位降水阈值表现为一致的分布特征,年平均极端降水量、平均极端降水强度与百分位极端降水阈值分布大体一致,而年平均极端降水日数的分布则与其相反。（2）年平均极端降水量在103.6~259.1 mm之间,年平均极端降水日数在3.0~4.0 d之间,平均极端降水强度在大雨到暴雨之间,极端降水量对总降水量贡献达28%以上。（3）极端降水总站次和极端降水日数年变化趋势一致,7月、8月和10月是极端降水较活跃月份。（4）在36 a期间,年平均极端降水量、年平均极端降水日数、平均极端降水强度以及极端降水量对总降水量贡献的变化趋势分布情况基本一致,呈减少趋势的站点均相对较多,年平均极端降水量增减幅度较大,年平均极端降水日数变化在1 d·（10 a）^-1以内,平均极端降水强度和极端降水量对总降水量贡献减少趋势相对明显。

     

渤中凹陷西南部古新世—始新世构造差异活动及沉积充填演化

渤海海域渤中凹陷西南部构造复杂,其沉积充填演化规律不明确。综合运用岩芯、测井以及三维地震资料,对该区断陷湖盆古新世—始新世的构造活动、沉积体系以及盆地充填演化规律进行了系统研究。研究表明,渤中凹陷西南部古近纪孔店-沙河街组发育孔店组末期、沙三段末期、沙一二段末期等3期构造活动,多次隆升剥蚀形成3个关键层序界面,控制整个湖盆古近纪孔店-沙河街组的层序结构和古地貌形态。古新世—始新世主要发育近源扇三角洲、辫状河三角洲、湖泊以及湖底扇等4种沉积体系类型,其分布受古物源、古地貌、断裂活动等因素制约。在古新世孔店组沉积裂陷早期,湖盆范围小,物源供给充足,陡坡带和缓坡带均以发育扇三角洲沉积为主,湖盆中心发育湖底扇沉积,晚期湖盆逐渐萎缩;始新世早期的沙三段沉积时期,断陷活动加强,随着盆地范围的扩张,物源供应减弱,湖盆洼陷区主要发育湖底扇沉积。始新世晚期沙一二段裂后沉降期,辫状河三角洲进积特征明显,分布范围广,局部地貌高位置发育湖相碳酸盐岩沉积。不同时期构造差异活动与物源供给共同制约着该区古近纪孔店-沙河街组的沉积充填演化过程,也导致了与渤海海域其他构造区沉积充填的差异性。     

风沙流中沙粒起跳初速度分布的探讨

风沙流结构中起跃沙粒的初速度分布,是连接微观研究和宏观研究的桥梁。笔者分析了已有的实验数据,就沙质地表起跃沙粒的速度分布、角度分布进行了计算;并运用碰撞理论建立了一个二维碰撞模型。考虑边界条件的影响,运用概率论统计的思想计算了风沙流结构中起跃沙粒初速度的概率分布,并和实验值进行了对比,得到了较好的结果,对风沙流中起跃沙粒的速度分布有了一个定性的认识。     

有关湖泊沉积137Cs深度分布资料解译的探讨

讨论了国内有关湖泊沉积^137Cs断代资料解译的一些问题。一些高寒地区的湖泊,上世纪60年代主核爆期以后,入湖泥沙的^137Cs含量变化不大,因此沉积剖面^137Cs浓度达峰值后无明显降低趋势。一些浅水湖泊,由于人类活动扰动湖底表层泥沙,剖面表层泥沙的^137Cs浓度比较均一。根据核尘埃沉降监测资料,中国湖泊沉积应存在明显的1963年^137Cs蓄积峰,不应存在所谓的1974年^137Cs次蓄积峰,可能存在不很明显的1986年次蓄积峰。沉积剖面中^137Cs浓度的深度变化,不仅和”’CS大气沉降通量变化有关,也和流域内近几十年来的环境变化有关,1963年以后的^137Cs次蓄积峰的确定要慎重。黔中红枫湖沉积物^137Cs面积活度高于滇西湖泊,主要是由于石漠化严重的喀斯特山地,裸岩面积大,裸岩坡地几无土壤吸附^137Cs尘埃,核爆期间^137Cs降尘随降雨径流直接流失进入湖泊比例高的缘故,不是青藏高原的大气污染物散落屏蔽效应的结果。     

用CAPPI和PPI资料测定区域降水量精度比较

应用上海中心气象台７１４数字化天气雷达的体积扫描资料所得的不同高度上的ＣＡＰＰＩ资料和低仰角时ＰＰＩ资料。估算区域降水量并得到降水量分布形势。然后采用平均校准法进行了校准，最后又与用雨量计网测量的区域降水量及其分布形势作了比较，得到一些有意义的结果。     

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

土壤侵蚀形成机制与影响因素识别是当前研究的核心与前沿议题,然而从多因素综合作用的角度进行定量归因仍需加强。以喀斯特典型峰丛洼地流域为研究区,基于GIS手段和RUSLE模型模拟土壤侵蚀,综合土地利用、坡度、降雨、高程、岩性、植被覆盖度等影响因子,应用地理探测器方法针对喀斯特不同地貌形态类型区进行土壤侵蚀的定量归因研究。结果表明,各影响因子对土壤侵蚀的解释力及因子间耦合作用程度在不同地貌形态类型区差异显著,其中土地利用和坡度是决定土壤侵蚀空间异质的主导因子,但在山地丘陵区,随着地形起伏度的升高,坡度的控制作用下降,即地理探测器q值表现为中海拔丘陵>小起伏中山>中起伏中山;生态探测器显示土地利用对土壤侵蚀的影响相比于其他因子有显著差异;双因子交互作用有助于增强对土壤侵蚀的解释力,土地利用与坡度的协同作用对土壤侵蚀的解释力达到70%以上;对于土壤侵蚀空间分布的差异性检验,风险探测器显示在小起伏中山、中起伏中山等地貌形态类型中,具有显著差异的影响因子分层组合数占比至少55%。因而,喀斯特地区土壤侵蚀的治理应综合考虑不同地貌形态类型区土壤侵蚀影响机制的空间异质性。     

Decoding the Development Strategy of a Major Retailer: Wal-Mart's Expansion in the United States

This research aims to provide insight regarding Wal-Mart's retail development strategy in its expansion across the continental United States. The study examines store location patterns and relationships between Wal-Mart's store and distribution center locations and markets. The study shows that, although radial expansion is broadly characteristic of the dense store patterns that have been well established for Wal-Mart at the national level, expansion patterns at the regional level are consistent with a selective process based on factors other than store density. These results provide a new perspective on Wal-Mart's expansion, providing insights of value to retail practitioners and local government.     

Change analysis of rice area and production in China during the past three decades

Rice＇s spatial-temporal distributions, which are critical for agricultural, environ- mental and food security research, are affected by natural conditions as well as socio-eco- nomic developments. Based on multi-source data, an effective model named the Spatial Production Allocation Model （SPAM） which integrates arable land distribution, administrative unit statistics of crop data, agricultural irrigation data and crop suitability data, was used to get a series of spatial distributions of rice area and production with 10-km pixels at a national scale -it was applied from the early 1980s onwards and used to analyze the pattern of spatial and temporal changes. The results show that significant changes occurred in rice in China during 1980-2010. Overall, more than 50% of the rice area decreased, while nearly 70% of rice production increased in the change region during 1980-2010. Spatially, most of the increased area and production were in Northeast China, especially, in Jilin and Heilongjiang; most of the decreased area and production were located in Southeast China, especially, in regions of rapidly urbanization in Guangdong, Fujian and Zhejiang. Thus, the centroid of rice area was moved northeast approximately 230 km since 1980, and rice production about 320 km, which means rice production moved northeastward faster than rice area because of the significant rice yield increase in Northeast China. The results also show that rice area change had a decisive impact on rice production change. About 54.5% of the increase in rice pro- duction is due to the expansion of sown area, while around 83.2% of the decrease in rice production is due to contraction of rice area. This implies that rice production increase may be due to area expansion and other non-area factors, but reduced rice production could largely be attributed to rice area decrease.     

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.