岱海地区近400年来的"尘暴"事件——来自岱海沉积物粒度的证据

根据高分辨率的岱海沉积物粒度分布的中值粒径和粗颗粒含量,结合区域降水、历史记载资料,重建了内蒙古岱海地区近４００年来发生的尘暴事件。结果表明,尘暴事件是受冬、夏季风的相对强弱制约的,大量尘暴事件频发于小冰期干冷的气候条件下,表现为中值粒径大,粗颗粒含量高,在转暖的现代气候下,尘暴事件很少,中值粒径也随之降低,但是近十几年尘暴事件又呈上升趋势,部分可能与人类活动造成的土地荒漠化有关。     

中国工业中小企业省区分布及其影响因素

20 世纪90 年代乡镇企业改革以来,中国中小企业空间格局发生了显著变化。现有地理学文献主要关注中小企业空间集聚、集群研究以及八九十年代的中小企业空间分布问题,对于近20 年来宏观层面中小企业空间分布的研究比较薄弱,实证研究尤为缺乏。基于文献回顾,运用GIS 空间分析、测算变差系数CV等方法,分析1997-2010 年中国工业中小企业省区分布的时空格局变化;在此基础上,选取20 个影响因素并建立计量模型,运用SPSS及Eviews软件,系统测算导致中国工业中小企业省区分布变化的影响因素,并根据研究结果提出相关政策建议。研究表明：① 1997-2010 年间,中国工业中小企业的省区分布更加集中、空间差异不断扩大;② 中国工业中小企业省区分布格局是多因素综合作用的结果,其中地区经济实力、金融环境、市场环境及技术创新是首要因素,信息化、劳动力、铁路密度及农业资源是次要因素。     

洪泛平原农村居民地空间分布特征定量研究及应用探讨

通过对影响居民地空间分布因素的分析,探讨了洪泛平原农村居民地空间分布特征;利用地理信息系统技术对不同高程带内居民地分布规模、等级和空间分布密度作了定量研究,得到了居民地空间分布密度和人口空间分布密度参数;并结合洪灾淹没区居民地损失的估算,对研究结果的应用作了探讨。     

基于幂函数法则对放牧梯度上种群空间异质性的定量分析

 在呼伦贝尔草原的克氏针茅群落选择轻牧、中牧、重牧3个不同的放牧梯度,沿着50 m样线设置100个50 cm×50 cm的L型样方,每个L型样方内划分4个25 cm×25 cm的S型样方,以物种出现的频度（p）作为植被空间分布的观测指标,采用幂函数法则对放牧梯度上草原植物群落物种的空间异质性进行了定量研究。结果表明,在不同放牧强度下,种类结构发生明显改变,轻度放牧区羊草和星状刺骨藜、中度放牧区藜和糙隐子草、重度放牧区猪毛菜和多根葱具有高的出现频度,群落物种数随着放牧压力的增大而减小。整体来看,放牧梯度上物种的空间分布呈现明显的聚集分布,物种空间异质性（δi）随着放牧强度的增大而增加,拟合于幂函数规律曲线;群落的空间异质性（δc）随着轻牧-中牧-重牧放牧演替的进展呈现降低趋势,种群个体分布呈现片断化特征。在群落内部各个种群具有不同的异质化分布特点,物种结构主要表现出密集型种群和疏散型种群两大类型。这些趋势与种群的繁殖策略、生活史对策、群落的再生产策略等生理与生态特性密切相关。     

天津地区典型土壤剖面饱和烃分布特征及环境意义

分析了天津地区不同环境功能区7 条土壤剖面中饱和烃含量、组成及部分地球化学参数 的变化规律, 比较了不同土壤剖面饱和烃在纵向上的变化特征。结果表明, 市区( 南开区) 及近郊 区( 武清区, 北辰区和宁河县交界处) 表层土饱和烃含量最高, 其他剖面含量较低; 随深度增大, 饱 和烃含量均有所降低, 但不同剖面变化幅度不同, 表层含量较高的剖面随深度增大, 饱和烃含量 降低幅度较大, 反之则较小。根据部分典型地球化学参数的纵向变化特征, 推测表层土壤饱和烃 主要为石油源和植物源的混合源, 且市区和郊区主要受石油源控制。不同土壤剖面表层土污染源 存在差别。同一剖面表层土壤( <30cm) 不同层次的样品的饱和烃污染源较为接近; 剖面深部( > 30cm) 不同层次样品中正构烷烃不同于表层, 且成因复杂, 既受来源于土壤中有机质降解产物的 影响, 又受表层土中饱和烃纵向迁移作用的影响。对于甾、萜类化合物, 表层土壤中饱和烃含量较 高的剖面, 深层土壤受表层土壤甾、萜类污染物迁移作用的影响; 表层土壤中饱和烃含量较低的 剖面, 深层土壤受表层土壤甾、萜类污染物影响较小。     

城市生产性服务业空间分布研究：以南京为例

20世纪90年代以来,随着信息技术的发展和应用,城市与区域空间结构也逐渐发生了相应的变化,这已成为西方学术界研究的重点问题。作为长江三角洲三大中心城市之一,南京城市空间发展也日益受到了信息化、全球化的影响,并表现出了新的结构特征。本研究从全球、国家及区域背景出发,分析南京城市生产性服务业的空间变化,及其所带来的空间结构的转型。这包括城市商务中心功能的强化与边缘商务空间的培育、信息产业密集区出现、学习型区域的空间重构几个方面。     

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.     

Flow and form in rehabilitation of large-river ecosystems: An example from the Lower Missouri River

On large, intensively engineered rivers like the Lower Missouri, the template of the physical habitat is determined by the nearly independent interaction of channel form and flow regime. We evaluated the interaction between flow and form by modeling four combinations of modern and historical channel form and modern and historical flow regimes. The analysis used shallow, slow water (shallow-water habitat, SWH, defined as depths between 0 and 1.5 m, and current velocities between 0 and 0.75 m/s) as an indicator of habitat that has been lost on many intensively engineered rivers and one that is thought to be especially important in rearing of young fishes. Two-dimensional hydrodynamic models for modern and historical channels of the Lower Missouri River at Hermann, Missouri, indicate substantial differences between the two channels in total availability and spatial characteristics of SWH. In the modern channel, SWH is maximized at extremely low flows and in overbank flows, whereas the historical channel had substantially more SWH at all discharges and SWH increased with increasing discharge. The historical channel form produced 3–7 times the SWH area of the modern channel regardless of flow regime. The effect of flow regime is evident in increased within-year SWH variability with the natural flow regime, including significant seasonal peaks of SWH associated with spring flooding. Comparison with other reaches along the Lower Missouri River indicates that a) channel form is the dominant control of the availability of habitat even in reaches where the hydrograph is more intensively altered, and b) rehabilitation projects that move toward the historical condition can be successful in increasing topographic diversity and thereby decreasing sensitivity of the availability of habitat to flow regime. The relative efficacy of managing flow and form in creating SWH is useful information toward achieving socially acceptable rehabilitation of the ecosystem in large river systems.     

基于Sentinel-1A的2021年双湖MW5.7地震同震破裂模型

利用Sentinel-1A SAR数据提取2021年西藏双湖县M_W5.7地震同震形变场及2.5D形变场,反演断层滑动分布模型。计算不同节面解为接收断层产生的库仑应力变化差异确定发震构造,并结合余震分布信息评估未来地震风险性。结果表明,地震震中为34.37°N、87.71°E,震源深度6.51 km,发震断层倾向东、走向33°、倾角50°、平均滑动角-74°,以倾滑为主兼有少量左旋走滑分量,最大滑动量0.26 m。短时间内,震区南部地震风险较小,北部则需要结合更多资料进一步分析。本次地震是在羌塘块体持续向东扩张的背景下,受EW向拉伸作用使得黄水湖正断层发生的一次弥散型变形活动,SN向地堑得到进一步扩张。     

面向对象技术在城市配电网GIS数据库中的应用

针对当前城市配电网基础数据管理的现状,本文阐述了利用面向对象与关系数据库技术设计城市配电网基础数据库的重要性,重点讨论了城市配电网GIS数据库的基本模型,包括数据库基本构架、编码方案、属性数据与空间数据、系统对象模型向数据库基本模型的映射,为构建城市配电网GIS应用平台及实现企业级的数据共享提供了基础。