黄河流域煤炭富集区煤炭水足迹演变及驱动效应研究

煤炭与水资源相互影响和制约,如何评价煤炭耗水的演变趋势及其影响机制对煤炭和水资源进行协同管理具有重要意义。基于国际标准的煤炭水足迹测算模型,分析2000—2017年黄河流域煤炭富集区——晋陕蒙煤炭水足迹的时空演变趋势,构建煤炭水足迹压力指数评价区域煤炭和水资源的匹配关系,并运用LMDI模型定量分析煤炭水足迹的驱动效应。结论如下：① 煤炭水足迹总量在研究期内呈增长趋势,主要以原煤和火力发电水足迹为主,山西和内蒙古煤炭水足迹最高,陕西最低。② 研究区整体煤炭水足迹压力指数逐渐增大,由煤–水关系缓和型逐渐演变为煤–水关系制约型,从空间分异来看,山西最大,研究期内均属于煤–水紧张型,陕西次之,内蒙古最小,均由煤–水关系缓和型演变为煤–水关系制约型。③ 影响煤炭水足迹的主要驱动因素是经济效应和技术效应,前者对煤炭水足迹的影响逐渐增强,后者对煤炭水足迹压力的影响先增强后减弱,各驱动效应空间分异明显。研究结果可为煤炭富集区煤炭和水资源可持续利用提供决策参考,为黄河流域生态保护和高质量发展的资源管理提供决策支持。     

广州市美丽乡村空间分异特征及其影响因素

以广州市已公布的4批美丽乡村建设试点数据为基础，通过最邻近指数、基于Riple’s函数的多距离空间聚类分析、核密度分析和叠置分析等方法，探讨了广州市美丽乡村的发展现状、空间分布格局及其影响因素。结果表明：1）自2013年起，广州市美丽乡村数量逐年递增且增长率呈现上升趋势；2）广州市美丽乡村空间分布呈明显的集聚型分布；3）Ripley’s函数分析表明美丽乡村要素点空间分布格局随距离变化略有不同，在0.14 km处集聚强度达到最大；4）核密度分析显示美丽乡村高密度区域主要分布在广州南部和西北部，包括番禺－南沙1个热点主核心区和从化、花都－白云2个热点副核心区，密度分布呈现多核心不均衡特点；5）乡村的地形水文、人文历史、交通区位和政策规划为美丽乡村空间分布的主要影响因素，其中，政策规划因素对“美丽乡村群”空间格局的形成起决定性影响。空间分布特征总体反映出广州市美丽乡村规划建设初见成效，并逐步形成以热点核心区为基础的“美丽乡村群”。最后，在乡村选点、空间优化、价值提升以及乡村治理等方面提出若干建议。     

Research progress and prospect on development geography

In this paper,we review the research progress in development geography since the 20th century,focusing on its connotation and theory,fields,methods,and development trends.Specifically,we systematically review the research and applications of development geography,comprising fields such as the convergence of underdeveloped countries and re-gions,and the convergence of the process of improving the quality of life in developed coun-tries and regions.Then,based on an analysis of research progress in development geogra-phy in foreign countries,we examine the development conditions and disciplinary advantages of development geography in China.Further,we highlight that future development geography research in China should focus on the latest international academic research and China's national macro-strategic needs.Future research in development geography should be guided by the theory of sustainable development,the core of which is to improve sustainable liveli-hood capacity and regional green development levels in underdeveloped regions.This core includes the construction of industrial policy and development geography theory,as well as an interdisciplinary integrated research system.The focus must be placed on researching the spatial patterns,diffusion characteristics,and the convergence mechanism of regional de-velopment.Such a focus will facilitate exploration of the regulatory policies and scientific paths that serve regional economic construction and industrial development.     

黄河流域产业绿色化与生态环境绿色化耦合协调度时空演变

以黄河流域35个城市为研究对象,分别构建产业绿色化与生态环境绿色化指标体系,基于熵值法测度两系统综合指数,并通过耦合协调度模型和空间自相关法对2009—2018年两系统耦合协调度的时空特征及空间集聚性进行分析。结果表明：（1）黄河流域产业绿色化与生态环境绿色化综合指数总体呈上升趋势且具有趋同性,上游地区生态环境绿色化水平高于产业绿色化水平,中下游地区相反;（2）时空维度上,黄河流域产业绿色化与生态环境绿色化的耦合协调度总体呈上升趋势,上中下游地区呈现“凹”字型发展特征且稳定程度不同;（3）空间集聚上,黄河流域产业绿色化与生态环境绿色化耦合协调度呈显著正相关性,存在明显聚集性,高-高聚集主要集中于上游地区,低-低聚集由中游地区向中下游地区扩展。     

Farmers＇ vulnerability to flood risk： A case study in the Poyang Lake Region

This paper quantitatively explores farmers＇ vulnerability to flood in the Poyang Lake Region （PLR） with the supports of GIS spatial functions. The analysis consists of three major steps, which is based on the spatial unit of township. Firstly, the spatial extent and characteristics of flood risk areas were determined using a digital elevation model （DEM） derived from the 1：50,000 topographic map. Secondly, for each of the township, six indices indicating the economic activities of local farmers were calculated. These indices are： rural population proportion, cultivated land proportion, GDP per unit area, employment proportion of primary industry, net rural income per capita and agricultural income proportion. These six indices were then normalized and used for later vulnerability assessment. Thirdly, the normalized indices （as GIS data layers） were overlaid with the flood risk areas to produce the risk coefficient for each township and to calculate the overall vulnerability for each township. The analysis results show that in the PLR there are high flood risk areas where the farmers＇ livings are seriously influenced or threatened. About 55.56% of the total 180 townships in the flood risk areas have a high degree of flood vulnerability. The townships under flood risk are mainly distributed in the areas around the Poyang Lake and the areas along the ＂five rivers＂.     

古尔班通古特沙漠生境对植物群落格局的影响

This paper reports a geomorphologic landscape investigation, vegetation survey and soil sampling at 14 sites across the Gurbantunggut Desert between 87°37′09"-88°24′04"E and 44°14′04"-45°41′52′Nl. The study encountered 8 species of low trees and shrubs, 5 of perennial herbs, 8of annual plants and 48 of ephemeral and ephemeroid plants. These species of plants represent one-third of the species found in the Gurbantunggut Desert, and their communities make up a large proportion of desert vegetation with great landscape significance. In the investigation we found that the plant communities are accordingly succeeded with the spatial variation of macro-ecoenvironment.Using Principal Component Analysis (PCA) and Correlation Analysis (CA) we found that the micro-ecoenvironment heterogeneity of aeolian sandy soil′s physical and chemical properties such as soil nutrient, soil moisture, soil salt, pH etc. only impacted the diversity of herb synusia (PIEherb) of the desert, with a negative correlation. Meanwhile, the impact of microhabitat on the plant community pattern with an antagonistic interaction made vegetation′s eco-distribution in a temporary equilibrium.     

Implementation of perfectly matched layers in an arbitrary geometrical boundary for elastic wave modelling

The perfectly matched layer (PML) absorbing boundary condition is incorporated into an irregular-grid elastic-wave modelling scheme, thus resulting in an irregular-grid PML method. We develop the irregular-grid PML method using the local coordinate system based PML splitting equations and integral formulation of the PML equations. The irregular-grid PML method is implemented under a discretization of triangular grid cells, which has the ability to absorb incident waves in arbitrary directions. This allows the PML absorbing layer to be imposed along arbitrary geometrical boundaries. As a result, the computational domain can be constructed with smaller nodes, for instance, to represent the 2-D half-space by a semi-circle rather than a rectangle. By using a smooth artificial boundary, the irregular-grid PML method can also avoid the special treatments to the corners, which lead to complex computer implementations in the conventional PML method. We implement the irregular-grid PML method in both 2-D elastic isotropic and anisotropic media. The numerical simulations of a VTI lamb's problem, wave propagation in an isotropic elastic medium with curved surface and in a TTI medium demonstrate the good behaviour of the irregular-grid PML method.     

中小城市基本公共服务水平区域均等化的动态分析

选取基础教育、社会保障、基本医疗、公共文化四大类指标,利用2008—2013年我国26个省份163个中小城市的统计数据,测度了其基本公共服务水平区域均等化程度的动态变化。结果表明:中小城市基本公共服务平均水平呈上升趋势;基础教育和基本医疗的区域均等化程度较好,社会保障和公共文化的区域差异较大;基本公共服务水平表现出空间集聚发展态势,东高西低的分布格局呈加剧之势。优化公共财政体制建设,加强省份间协同发展是促进基本公共服务均等化的重要途径。     

Classifying natural-language spatial relation terms with random forest algorithm

The exponential growth of natural language text data in social media has contributed a rich data source for geographic information. However, incorporating such data source for GIS analysis faces tremendous challenges as existing GIS data tend to be geometry based while natural language text data tend to rely on natural language spatial relation (NLSR) terms. To alleviate this problem, one critical step is to translate geometric configurations into NLSR terms, but existing methods to date (e.g. mean value or decision tree algorithm) are insufficient to obtain a precise translation. This study addresses this issue by adopting the random forest (RF) algorithm to automatically learn a robust mapping model from a large number of samples and to evaluate the importance of each variable for each NLSR term. Because the semantic similarity of the collected terms reduces the classification accuracy, different grouping schemes of NLSR terms are used, with their influences on classification results being evaluated. The experiment results demonstrate that the learned model can accurately transform geometric configurations into NLSR terms, and that recognizing different groups of terms require different sets of variables. More importantly, the results of variable importance evaluation indicate that the importance of topology types determined by the 9-intersection model is weaker than metric variables in defining NLSR terms, which contrasts to the assertion of ‘topology matters, metric refines’ in existing studies.     

黑河中游地区耕地景观演变及社会经济驱动力分析

选取1987~2010年的土地利用数据,运用变化轨迹分析方法以及景观指数表征黑河中游地区耕地景观的演变过程,采用偏最小二乘回归模型分析耕地景观演变的驱动力。结果表明：从耕地的变化轨迹来看,研究期间耕地的扩张是黑河中游地区耕地景观演变的主要趋势;从空间上来看,扩张型耕地和缩减型耕地分布趋向集中,主要集中在稳定型耕地边缘,同时耕地扩张的方向趋向河流;从驱动因素分析来看,总人口、城市化、产业发展、机电井数等是促使耕地景观演变的主要社会经济驱动因素,但是各个驱动因素的驱动作用均有差异。