香坊老工业区搬迁改造监测分析     

李晶晶  罗研  张滨 《测绘与空间地理信息》2020,(2):182-184,188

利用地理信息技术及遥感监测方法,监测香坊老工业区搬迁改造试点进展情况,主要针对搬迁改造过程中地表覆盖、用地性质、空气质量变化情况,开展综合统计分析,客观评价香坊老工业搬迁改造实施成效。  相似文献   

东北三省全面振兴的社会经济支撑能力评估     

马丽  田华征  康蕾  戚伟 《地理科学》2020,40(6):863-873

在解析支撑能力和东北问题特点的基础上，从“创新、协调、绿色、开放、共享”五大理念出发建立全面振兴社会经济支撑能力评价指标体系和综合评价方法，以地级市为单元对东北三省进行评估。研究发现：各地市社会经济支撑能力差异显著，哈大沿线核心城市的支撑能力较强，西翼城市以及朝阳、七台河、绥化、葫芦岛、铁岭、双鸭山和鹤岗等资源型城市支撑能力较弱。因此未来东北地区在振兴政策的区域分布上应有所侧重，对不同地区施以不同的振兴或扶持政策。在创新、绿色、开放方面需要集中力量重点突破，而在体制机制改革和共享服务建设方面需要全面覆盖，并重点加强黑龙江北部和辽宁、吉林西翼城市的共享能力建设。  相似文献   

环渤海地区海洋经济增长质量空间溢出效应研究   总被引：4，自引：2，他引：2  

李博  田闯  金翠  史钊源 《地理科学》2020,40(8):1266-1275

海洋经济向质量效益型转变是建设海洋强国的新要求。通过构建海洋经济?地理距离空间权重矩阵对2000—2014年环渤海地区17个沿海地级市海洋经济增长质量主体的空间交互作用及空间效应进行研究；借助空间计量模型对海洋经济增长质量空间效应影响因素进行甄别。研究表明：① 环渤海地区海洋经济增长质量主体呈显著空间相关性，存在空间交互作用；② 海洋经济增长质量存在空间溢出的正反馈效应。影响因素中对环渤海地区海洋经济增长质量的直接贡献强度排序为：海洋环境>海洋产业>海洋人才>海洋资本>海洋科技，对其他地区溢出效应影响的排序为：海洋基建>海洋人才>海洋资本。研究为环渤海地区海洋政策制定提供一定参考依据。  相似文献   

基于住房需求意愿的广州市中产阶层住房区位选择     

边艳  周春山  胡锦灿 《热带地理》2020,40(5):832-842

以2014年广州市中产阶层聚居区24个街道、50个社区进行的问卷调查和深度访谈资料为数据源，从住房需求意愿与区位选择方面分析了广州中产阶层住房选择，并运用多元Logistic回归分析法对其影响因素进行研究。研究发现：1）广州市中产阶层住房区位选择表现出明显的“向中心城区”性；2）现居住现状（人均住房面积、现小区区位、现小区建成年代、现居住时间）、家庭生命周期（年龄、家庭规模、子女数量）和经济水平（家庭年总收入、个人年总收入、私家车拥有量）等因素对中产阶层住房需求意愿具有显著影响；3）家庭生命周期（年龄、家庭规模）、个体因素（教育程度、户籍地）等要素对中产阶层住房区位选择具有显著影响。4）制度因素、区位因素和个体因素共同影响着广州市中产阶层住房区位选择。  相似文献   

基于细分行业的安徽省创新型企业集聚研究     

白如山  胡森林  庄良  刘岩  刘恺恺  黄鹏娜 《世界地理研究》2020,29(6):1190-1201

创新型企业作为塑造创新地理格局的重要力量，其区位选择的外部特征及内在机理亟须予以系统化研究。基于对安徽省创新型企业的细分行业与空间建库，采用核密度估计和地理探测器等方法，对细分行业下的创新型企业空间集聚特征及影响因素进行研究。结果表明：（1）安徽省创新型企业类型以先进制造和自动化为主，并以生物与新医药、新材料、电子信息为辅；（2）创新型企业空间集聚的不均衡特征显著，呈现出“一核一带多节点”的集聚分布特征，且合肥、芜湖是两个重要集聚区；不同细分行业视角下创新型企业的空间分布形态各异，可归纳为点-轴式、极核式、双核式及多核分散式等4种空间组织形态。（3）创新型因子对于创新型企业的空间集聚最为重要，但传统型和政策型因子的重要性仍不容忽视。其中，产业基础、人力资本、创新投入是最核心的因素，但各行业创新型企业的影响因素作用力则表现出一定的异质性。  相似文献   

两株南极枝孢霉属真菌Cladosporium sp.NJF4和NJF6的次级代谢产物研究          下载免费PDF全文

常俊男  田晓清  樊成奇  黄金昌  陆亚男  韩清华 《极地研究》2020,32(1):60-67

南极因其独特的自然环境成为潜在、重要的微生物资源库,是产生新型生物活性物质和先导化合物菌株的潜在种源地,南极微生物正在成为创新药物研究新的重要资源。虽然近年来对南极微生物次级代谢产物的研究逐渐增加,但与温带和热带微生物研究相比仍处于初级阶段。对从南极普里兹湾海洋沉积物中获得的两株枝孢霉属真菌Cladosporium sp. NJF4和NJF6进行次级代谢产物分离及结构鉴定,获得20个化合物。化合物结构类型包括甾醇(1)、倍半萜类(7—8)、生物碱类(9—14)、二酮哌嗪(2—5、15—17)、芳香酸(6、18—19)等,其中倍半萜类(7—8)为首次从枝孢霉属真菌中分离得到,以上研究将为丰富南极微生物次级代谢产物库奠定一定的研究基础。  相似文献   

A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing     

Peng Yue  Fan Gao  Boyi Shangguan  Zheren Yan 《International journal of geographical information science》2020,34(11):2243-2274

ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.  相似文献   

Study and application of PS-wave pre-stack migration in HTI media and an anisotropic correction method     

Li-Li Yan  Bing-Jie Cheng  Tian-Ji Xu  Ying-Ying Jiang  Zhao-Jun Ma  Jian-Ming Tang 《应用地球物理》2018,15(1):57-68

Anisotropy correction is necessary during the processing of converted PSwave seismic data to achieve accurate structural imaging, reservoir prediction, and fracture detection. To effectively eliminate the adverse effects of S-wave splitting and to improve PSwave imaging quality, we tested methods for pre-stack migration imaging and anisotropic correction of PS-wave data. We based this on the propagation rules of seismic waves in a horizontal transverse isotropy medium, which is a fractured medium model that reflects likely subsurface conditions in the field. We used the radial (R) and transverse (T) components of PS-wave data to separate the fast and slow S-wave components, after which their propagation moveout was effectively extracted. Meanwhile, corrections for the energies and propagation moveouts of the R and T components were implemented using mathematical rotation. The PS-wave imaging quality was distinctly improved, and we demonstrated the reliability of our methods through numerical simulations. Applying our methods to three-dimensional and three-component seismic field data from the Xinchang-Hexingchang region of the Western Sichuan Depression in China, we obtained high-quality seismic imaging with continuous reflection wave groups, distinct structural features, and specific stratigraphic contact relationships. This study provides an effective and reliable approach for data processing that will improve the exploration of complex, hidden lithologic gas reservoirs.  相似文献   

Seismic imaging of the middle and upper crust by double-difference tomography: the Haicheng earthquake (Ms 7.3) in Liaoning Province     

Que Zheng  Cai Liu  You Tian  Hong-Xiang Zhu 《应用地球物理》2018,15(1):125-136

The Haicheng earthquake (Ms 7.3) occurred in Liaoning Province (39°N–43°N, 120°E–126°E ), China on February 4, 1975. The mortality rate was only 0.02% owing to the first timely and accurate prediction, although the area affected by the earthquake was 9200 km² and covered cities with a population density of 1000 p/km². In this study, the doubledifference (DD) tomography method was used to obtain high-resolution three-dimensional (3D) P- and S-wave velocity (Vp and Vs) structures and Vp/Vs as well as the earthquake locations. Tomography results suggest that velocity structure at shallow depth coincides well with topography and sediment thickness. The earthquake locations form a northwest-striking zone associated with the Jinzhou(JZ) Fault and a northeast-striking zone associated with the Haichenghe-Dayanghe (HD) Fault, and suggest that the JZ Fault consists of three faults and the Ms 7.3 Haicheng earthquake originated at the intersection of the JZ and the Faults. Lowvelocity zones (LVZs) with low Vp/Vs are observed at 15–20 km depth beneath the Haicheng (HC) region. We interpret the LVZs in the middle crust as regions of fluids, suggesting rock dehydration at high temperatures. The LVZs and low Vp/Vs in the upper crust are attributed to groundwater-filled cracks and pores. We believe that large crustal earthquakes in this area are caused by the combination of faulting and fluid movement in the middle crust.  相似文献   

Simulations of the Impact of Lakes on Local and Regional Climate Over the Tibetan Plateau     

Lingjing Zhu  Xin Liu  Lei Tian  Qunhui Zhang 《大气与海洋》2018,56(4):230-239

ABSTRACT

Because of the high elevation and complex topography of the Tibetan Plateau (TP), the role of lakes in the climate system over the Tibetan Plateau is not well understood. For this study, we investigated the impact of lake processes on local and regional climate using the Weather Research and Forecasting (WRF) model, which includes a one-dimensional physically based lake model. The first simulation with the WRF model was performed for the TP over the 2000–2010 period, and the second was carried out during the same period but with the lakes filled with nearby land-use types. Results with the lake simulation show that the model captures the spatial and temporal patterns of annual mean precipitation and temperature well over the TP. Through comparison of the two simulations, we found that the TP lakes mainly cool the near-surface air, inducing a decreasing sensible heat flux for the entire year. Meanwhile, stronger evaporation produced by the lakes is found in the fall. During the summer, the cooling effect of the lakes decreases precipitation in the surrounding area and generates anomalous circulation patterns. In conclusion, the TP lakes cool the near-surface atmosphere most of the time, weaken the sensible heat flux, and strengthen the latent heat flux, resulting in changes in mesoscale precipitation and regional-scale circulation.  相似文献