基于WoS和Citespace的应急避难场所知识图谱和进展分析

以近30 年Web of Science 核心数据库收录的2472 篇应急避难场所相关文献为基础,首先统计发文数量时间分布和期刊分布,然后利用Citespace可视化软件,从发文作者、机构、国家、关键词和学科方向5个方面分别进行知识图谱分析。结果表明：近30年来应急避难场所研究发文呈现由缓慢探索、稳步发展向高速发展的阶段;发文期刊主要为自然灾害类、紧急医学类、工程技术类;研究作者群较多,学术交流较为紧密;美国和中国为发文量最多的国家;路易斯安那州立大学和中国科学技术大学是主要的发文机构;从关键词发现应急避难场所目标人群主要围绕灾害救援和社会弱势群体,研究视角从单一问题和事件开始向综合系统演变,研究方法从定性的方法模型转向动力机制和信息系统开发,研究内容则注重多学科交叉和微观尺度、重视案例实证和信息共享和强调应急避难场所管理;学科方向主要为工程学和公共环境与健康两个学科。在建设韧性城市的背景下,可借鉴国际经验来构建中国应急避难场所研究体系和管理。     

中国与周边国家地缘经济关系的双向互动分析

贸易关系可用来刻画中国与周边国家地缘经济关系的双向互动。本文通过构建源—汇互动矩阵分析框架,借助商品贸易数据,从出口与进口两个断面,选取偏好率、市场占有率和集中度3个指标分析了中国与周边国家地缘经济关系双向互动时序变化。结果表明：①周边国家出口到中国偏好率整体上升,且高于中国出口到周边国家偏好率;②中国出口到周边国家市场占有率远高于周边国家出口到中国市场占有率;③周边国家从中国进口偏好率高于中国从周边国家进口偏好率,中国从周边国家进口的偏好率主要集中在周边发达国家以及部分东盟国家;④中国从周边国家进口市场占有率总体上呈增长趋势,且高于周边国家从中国进口市场占有率;⑤中国与周边国家地缘经济关系双向互动主要集中在日本、韩国和新加坡等发展经济体以及东盟中的经济发展水平较高国家。周边国家和地区经济发展水平差异巨大,需要进一步探讨中国与周边国家和地区的地缘经济合作差异和演化规律,服务于“一带一路”建设和提升“周边是首要”的地缘边际效应。     

辽宁沿海地区海洋经济增长质量空间特征及影响要素

在海洋经济质量转型之期,基于“认知—评价—建构—优化”理念,界定海洋经济增长质量内涵,通过中心-引力模型评价分析2000—2014年辽宁沿海地区海洋经济增长质量空间特征,构建了海洋经济增长质量模型,识别影响其空间特征的相关要素,并根据要素作用程度提出优化建议。研究发现：① 辽宁沿海地区海洋经济增长质量呈“核心—圈层”结构,形成以大连为“领头雁”的雁阵式相互继起模式;“钻石型”引力流结构促成辽宁沿海地区集中化连片发展格局;② 海洋经济增长质量空间特征主要受空间集聚效应影响,海洋资本、海洋基建和海洋产业结构成为推动海洋经济增长质量循环引力流的顺流机制,其中海洋产业结构成为影响辽宁海洋经济增长质量圈层空间集聚效应的关键流;海洋人才成为制约海洋经济增长质量循环引力流的逆流机制;③ 通过路径作用程度的象限划分,提出强化大连中心地职能,针对腹地城市定位及资源禀赋条件提出调控措施,推进沿海区域协调与一体化进程。     

基于电化学法的铬盐清洁生产工艺研究

现有铬盐生产技术阻碍了铬盐行业的清洁化发展,研发新型铬盐生产技术实属必要。中国科学院青海盐湖研究所自行研发出一套以电化学法为基础的铬盐清洁生产工艺,涵盖三条大工艺和四种母系铬盐产品。包括氢氧化钠溶液中电化学氧化铬铁制备铬酸钠联产三氧化二铬和三氧化二铁工艺,离子膜电解法从铬酸钠合成重铬酸钠工艺,以及离子膜电解法从重铬酸钠合成铬酸酐工艺。相比现有铬盐生产技术,该技术的优势主要体现在以下五点:温和化、去渣化、高值化、自动化和高效化。目前相关研发工作业已走出实验室,走过产业化中间试验,正向产业化示范线迈进。     

The spatial local accuracy of land cover datasets over the Qiangtang Plateau,High Asia

We analyzed the spatial local accuracy of land cover (LC) datasets for the Qiangtang Plateau, High Asia, incorporating 923 field sampling points and seven LC compilations including the International Geosphere Biosphere Programme Data and Information System (IGBPDIS), Global Land cover mapping at 30 m resolution (GlobeLand30), MODIS Land Cover Type product (MCD12Q1), Climate Change Initiative Land Cover (CCI-LC), Global Land Cover 2000 (GLC2000), University of Maryland (UMD), and GlobCover 2009 (Glob-Cover). We initially compared resultant similarities and differences in both area and spatial patterns and analyzed inherent relationships with data sources. We then applied a geographically weighted regression (GWR) approach to predict local accuracy variation. The results of this study reveal that distinct differences, even inverse time series trends, in LC data between CCI-LC and MCD12Q1 were present between 2001 and 2015, with the exception of category areal discordance between the seven datasets. We also show a series of evident discrepancies amongst the LC datasets sampled here in terms of spatial patterns, that is, high spatial congruence is mainly seen in the homogeneous southeastern region of the study area while a low degree of spatial congruence is widely distributed across heterogeneous northwestern and northeastern regions. The overall combined spatial accuracy of the seven LC datasets considered here is less than 70%, and the GlobeLand30 and CCI-LC datasets exhibit higher local accuracy than their counterparts, yielding maximum overall accuracy (OA) values of 77.39% and 61.43%, respectively. Finally, 5.63% of this area is characterized by both high assessment and accuracy (HH) values, mainly located in central and eastern regions of the Qiangtang Plateau, while most low accuracy regions are found in northern, northeastern, and western regions.

     

Spatial patch structure and adaptive strategy for desert shrub of Reaumuria soongorica in arid ecosystem of the Heihe River Basin

In many arid ecosystems, vegetation frequently occurs in high-cover patches interspersed in a matrix of low plant cover. However, theoretical explanations for shrub patch pattern dynamics along climate gradients remain unclear on a large scale. This context aimed to assess the variance of the Reaumuria soongorica patch structure along the precipitation gradient and the factors that affect patch structure formation in the middle and lower Heihe River Basin (HRB). Field investigations on vegetation patterns and heterogeneity in soil properties were conducted during 2014 and 2015. The results showed that patch height, size and plant-to-patch distance were smaller in high precipitation habitats than in low precipitation sites. Climate, soil and vegetation explained 82.5% of the variance in patch structure. Spatially, R. soongorica shifted from a clumped to a random pattern on the landscape towards the MAP gradient, and heterogeneity in the surface soil properties (the ratio of biological soil crust (BSC) to bare gravels (BG)) determined the R. soongorica population distribution pattern in the middle and lower HRB. A conceptual model, which integrated water availability and plant facilitation and competition effects, was revealed that R. soongorica changed from a flexible water use strategy in high precipitation regions to a consistent water use strategy in low precipitation areas. Our study provides a comprehensive quantification of the variance in shrub patch structure along a precipitation gradient and may improve our understanding of vegetation pattern dynamics in the Gobi Desert under future climate change.

     

Developing a comprehensive evaluation method for Interconnected River System Network assessment: A case study in Tangxun Lake group

Journal of Geographical Sciences - The Interconnected River System Network (IRSN) plays a crucial role in water resource allocation, water ecological restoration and water quality improvement. It...     

Does geographic distance have a significant impact on enterprise financing costs?

Journal of Geographical Sciences - As information technology has been applied more broadly and transportation infrastructure has improved, persistent debate has existed as to the question of...     

Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices

Understanding scale effects is important and indispensable for geography studies. However, spatial and spatiotemporal statistical tools for measuring the operational scales of different processes are rather limited. This article extends the popular geographically and temporally weighted regression (GTWR) model to consider operational scale effects by proposing multiscale GTWR (MGTWR), which offers a flexible and scalable framework for identifying and analysing multiscale processes by specifying flexible bandwidths for various covariates. Then, MGTWR is employed to explore spatiotemporal variations and how influential factors are associated with housing prices in Shenzhen. This article attempts to extend GTWR to MGTWR in consideration of scale effects, thereby highlighting the importance of different levels of spatiotemporal heterogeneity. Furthermore, the empirical results of this study can provide valuable policy implications for real estate development in areas where urban planning should address multiscale effects in both temporal and spatial dimensions.     

中国半干旱草原施氮梯度下的土壤激发效应（英文）

为了探究施氮对土壤有机质(SOM)的激发效应,本研究在施氮梯度样地(0、4和16 g N m^–2 yr^–1)上进行了¹³C标记葡萄糖的原位添加实验,并对土壤CO_2排放量和磷脂脂肪酸(PLFA)含量进行了测定。研究发现施氮降低了土壤CO_2排放、土壤PLFA含量以及土壤真菌细菌比。在0 g N m^–2 yr^–1样地上葡萄糖添加导致的正向激发效应最强,同时4 g N m^–2 yr^–1样地释放的葡萄糖来源的碳最多。因此,施氮减少了土壤中SOM转化产生的CO_2,微生物碳的来源由SOM转变为添加的易分解碳。本研究采样早期土壤微生物生物量和群落结构稳定,表明该草原存在"表观激发效应",因此未来研究应着重对微生物功能的多样性进行探讨。