GIS与历史地理学

本文初步分析了传统历史地理学存在的缺陷,GIS的快速发展为历史地理学提供了机遇;阐述了GIS在历史地理学中应用取得的成效、存在的问题和发展趋势,并就GIS与历史地理学如何更好的结合提出了几点对策。     

地下流体测项中氟氯离子及水电导的映震效率

展示了数十年来国内外科研机构运用地下流体测项中氟氯离子及水电导的异常特征探索防震减灾的突出成果。在分析了异常特征可能的产生机理后指出:流体测项中氟氯离子及水电导很可能是我们探寻多年的地化敏感元素,该元素抗干扰能力强,映震效果好,测试方便快捷,既经济又可靠。建议各地区结合本地化学、地质构造特征做到扬长避短,在不适合进行水位和水气观测的井泉多开展对氟氯及其他离子元素和水电导的多项目的综合监测研究,做到一井多用,监测有重点,分析有全面。     

分形方法在苏北盆地金湖凹陷石油资源评价中的应用

成熟勘探区剩余资源量的多少倍受关注。根据金湖凹陷的油藏规模分布特征,应用分形方法估计该区的石油地质资源。石油地质资源总量为12284×10⁴t,分布在507个油藏中;其中未发现的具有经济价值的石油地质资源量为2740×10⁴t,分布在126个油藏中。这反映了该区的油气勘探程度较高,但仍有一定的勘探潜力,大量中-小油藏是今后勘探的主攻目标。分形方法作为油气资源评价的一种新途径,计算过程简便,结果可靠,应用前景广阔。     

印度尼西亚Cikotok矿区帕瑟埃拉金矿成因及成矿潜力

印度尼西亚Cikotok矿区帕瑟埃拉金矿位于巽他-班达岛弧的中部Bayah穹隆中,宏观上具有找到大型矿床的地质前提.成矿围岩为始新世末—中新世早期的安山岩,围岩蚀变强烈,分带性明显,金矿脉具有多条近平行产出特征.矿床有4个成矿阶段:石英-蒙脱石-绿泥石阶段,石英-绢云母-黄铁矿阶段,石英-冰长石-硫化物-含锰矿物阶段,...     

山东省广饶县地下水位多年动态及其地质环境效应分析

山东省广饶县地下淡水资源丰富,是本区工农业生产和生活用水的重要水源,长期大量开采地下水引发了地下水降落漏斗、咸水入侵、地面沉降等地质环境问题.通过对广饶县地下水多年监测资料的整理和分析,揭示了本区地下水水位的变化规律,预测了地下水水位的变化趋势.分析表明:在现状开采条件下,浅层地下水降落漏斗已基本稳定,无加重趋势.考虑...     

4种再分析月降水数据在内蒙古地区的适用性分析

利用1981—2020年气象台站的实测降水数据,对CRA40、ERA5、JRA55和MERRA2这4种再分析月降水数据在内蒙古地区的降水分布特征,与实测降水的相关性和误差进行分析。结果表明：(1)内蒙古地区4种再分析降水数据的空间分布与台站降水基本一致,误差分析表明CRA40与MERRA2的数据质量较高,ERA5次之,而JRA55数据质量相对较差。(2)CRA40和MERRA2在1983—1986年存在明显的降水低估,ERA5在2005年之后的内蒙古中东部出现明显的降水低估,JRA55在115°E以东存在明显降水高估,在115°E以西则以降水低估为主。(3)4种再分析月降水数据的年内最大均方根误差和绝对误差均集中在6—8月,与台站降水相关系数的年内最小值均出现在7月,内蒙古夏季汛期是再分析降水误差产生的主要时段。     

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data

ABSTRACT

Earth observations and model simulations are generating big multidimensional array-based raster data. However, it is difficult to efficiently query these big raster data due to the inconsistency among the geospatial raster data model, distributed physical data storage model, and the data pipeline in distributed computing frameworks. To efficiently process big geospatial data, this paper proposes a three-layer hierarchical indexing strategy to optimize Apache Spark with Hadoop Distributed File System (HDFS) from the following aspects: (1) improve I/O efficiency by adopting the chunking data structure; (2) keep the workload balance and high data locality by building the global index (k-d tree); (3) enable Spark and HDFS to natively support geospatial raster data formats (e.g., HDF4, NetCDF4, GeoTiff) by building the local index (hash table); (4) index the in-memory data to further improve geospatial data queries; (5) develop a data repartition strategy to tune the query parallelism while keeping high data locality. The above strategies are implemented by developing the customized RDDs, and evaluated by comparing the performance with that of Spark SQL and SciSpark. The proposed indexing strategy can be applied to other distributed frameworks or cloud-based computing systems to natively support big geospatial data query with high efficiency.     

Three new species of Anthomedusae (Hydrozoa: Hydroidomedusa) from the Guangdong coastal water, China

The samples of Anthomedusae were collected from the Guangdong coastal water,China.Three new species of Anthomedusae,i.e.Zhangiella condensum Huang,Zhang et Sun,sp.nov.,Hydractinia leizhouensis Huang,Zhang et Yang,sp.nov.,and Cladosarsia simplex Huang,Zhang et Ke,sp.nov.are described.All type specimens are deposited in College of Ocean and Earth Sciences,Xiamen University.     

Satellite image analysis using crowdsourcing data for collaborative mapping: current and opportunities

ABSTRACT

Researchers are continually finding new applications of satellite images because of the growing number of high-resolution images with wide spatial coverage. However, the cost of these images is sometimes high, and their temporal resolution is relatively coarse. Crowdsourcing is an increasingly common source of data that takes advantage of local stakeholder knowledge and that provides a higher frequency of data. The complementarity of these two data sources suggests there is great potential for mutually beneficial integration. Unfortunately, there are still important gaps in crowdsourced satellite image analysis by means of crowdsourcing in areas such as land cover classification and emergency management. In this paper, we summarize recent efforts, and discuss the challenges and prospects of satellite image analysis for geospatial applications using crowdsourcing. Crowdsourcing can be used to improve satellite image analysis and satellite images can be used to organize crowdsourced efforts for collaborative mapping.     

2012-2016年调水调沙对黄河口海域大型底栖动物群落结构的影响

为了明确黄河调水调沙对河口海域大型底栖动物群落结构的影响,本研究于2012至2016年调水调沙后进行了大型底栖动物样品的采集工作。整个研究时期共鉴定出大型底栖动物7门138种,生物量和丰度2012年显著高于2016年,生物量年间无显著差异;研究时期内优势种以小型多毛类为主,鲜见软体动物、节肢动物和棘皮动物,其中2016年优势种全部为小个体多毛类;MDS显示,随时间的推移距河口不同距离梯度的大型底栖动物逐渐演变为相同的群落结构,且Shannon-Wiener多样性指数和Margalef丰富度指数呈下降趋势;CCA显示研究海域主要底栖动物种类的生态需求为高中值粒径、低溶解氧、pH、黏土和硫化物含量。本研究推测调水调沙工程一定程度上影响了底层生物群落结构,特别是研究海域的A断面。