贵州松桃高地超大型锰矿床绿色勘查探索与实践

本文选择贵州松桃高地锰矿作为研究对象,从实际情况出发,编写了实施方案,在勘查过程中,分别从现场分区规划、道路修筑、生活区、工作区、安全环保文化建设、水资源保护以及固体废弃物管理七个方面进行具体实施,采用"一基多孔"技术,选择环保型清洗液,对开挖的地块进行了复垦复绿工作,整个勘查过程实现了生态环境的保护,环境恢复治理的落...     

长三角地区民宿的空间分布及影响因素

近年来,民宿作为旅游业发展的新兴模式,日益受到关注,并呈现蓬勃发展状态。以民宿业发展最为成熟的长三角地区为研究对象,基于去哪儿网相关民宿数据,采用空间最邻近分析、密度分析等空间分析方法,研究民宿的空间分布格局与特征,并基于逐步回归分析,探讨影响民宿分布的因素,得出以下结论：① 长三角地区民宿呈现高度集聚的状态,整体上表现为多核心分布,并形成一、二、三级组团,密度由核心向外围递减。② 民宿集聚分布在经济较为发达的城市和核心景区周边,具有明显的中心性。③ 基于对经济基本状况、交通状况、人口条件、居民消费能力、旅游市场状况、旅游资源与环境条件等方面共15个影响因素分析,发现单位面积旅游收入、A级景区数量、人口密度、地区国内生产总值四个指标对民宿密度有显著正向影响,其中,影响力单位面积旅游收入>A级景区数量>人口密度>地区国内生产总值。     

人海关系地域系统视角下海洋本体的解构与研究重点

在揭示人海辩证关系与海洋社会属性的基础上,从人海关系地域系统的视角,解析了海洋的构成。第一海洋（自然海洋）是人海关系地域系统中自然存在而非人为构筑的海洋部分,其核心要素是地理位置、物质构成和空间形态。第二海洋（人工海洋）是人类海洋实践中所建造的设施及相应的物质、能量及信息流动,包括基地设施、人类主体之间的物质信息交流和人类与海洋之间的采集排放活动。第三海洋（关系海洋）是不同人类主体在海洋实践中形成的互动关系,核心内容是主体构成、内容组成以及表现形式。第四海洋（观念海洋）是人类对海洋及海洋实践活动的认知,核心是在处理人类与海洋、陆地与海洋和人类主体之间关系时所秉持的理念。现实中,自然海洋、实践性的人工海洋和关系海洋与构想性的观念海洋相互作用,形成了丰富多样的海洋世界。随着人类海洋实践的深化,关系海洋和观念海洋与自然海洋和人工海洋一并成为了研究与实践的重点。     

作物生产潜力变化的区域差异——以陕西省为例

作物生产潜力变化具有明显的区域差异性,亟需针对不同地理单元实施有效应对措施和调控策略。选择陕西省三大地理单元（陕北高原、关中盆地和秦巴山区）为研究对象,运用全球生态区模型（GAEZ）分析了陕西省不同地理单元作物生产潜力变化趋势,探讨了不同作物生产潜力变化的区域差异,辨识出影响不同作物生产潜力变化的主要因素,结果显示：（1） 1980—2015年间,陕西省玉米生产潜力总量增加了150.55×10⁴ t,小麦生产潜力总量则下降了402.69×10⁴ t。（2） 关中盆地的玉米和小麦生产潜力皆最大,陕北高原次之,秦巴山区的玉米和小麦生产潜力皆最小;陕北高原和秦巴山区的玉米生产潜力皆表现出先增加后减小再增加的变化趋势,关中盆地的玉米生产潜力则先减小后增加再减小;关中盆地和秦巴山区的小麦生产潜力都呈下降趋势,陕北高原的小麦生产潜力则有所提高。（3） 土地利用变化呈现减产效应,这一效应在关中盆地尤为显著,其次为陕北高原;气候变化导致玉米生产潜力增加,使小麦生产潜力下降;气候变化对不同地理单元的影响也不相同,在陕北高原表现为增产效应,在关中盆地和秦巴山区则为减产效应。（4） 在陕北高原,气候变化的增产效应是玉米和小麦生产潜力提高的主要原因,气候变化对玉米生产潜力的影响大于对小麦的影响,耕地向草地、林地和建设用地的转化是降低作物生产潜力最主要的土地利用变化因素;在关中盆地,作物生产潜力的变化主要是受气候变化的影响,小麦受气候变化的影响较玉米为大,以建设用地占用耕地为特征的土地利用变化对玉米生产潜力的影响大于对小麦的影响;在秦巴山区,土地利用变化是玉米生产潜力变化的主要原因,而小麦生产潜力的变化主要受气候变化影响。     

基于GIS的资源环境承载力评价与空间布局优化—以荣成市为例

随着工业化、城镇化、农业现代化和信息化的进程加快,我国面临的资源环境承载规模将进一步扩大,经济社会活动强度也将更高,人口、资源、环境之间的矛盾与冲突将不可避免地日趋激烈,因此开展资源环境承载力评估研究十分必要。以荣成市为研究对象,建立了资源环境承载力评价指标体系,基于GIS技术实现了属性数据的空间化,完成了各项指数的计算,分析了荣成市资源环境承载力状况。在资源环境承载力评价的基础上,分乡镇对荣成市土地空间布局进行优化,并形成综合分区引导。研究结论显示,荣成市资源环境基础性评价为可载,基于水资源系统的综合承载状态判定为临界,基于生态条件与环境质量系统的综合承载状态判定为可载。基于评价结果结合区位特点,荣成市各乡镇可按新兴产业、制造业、服务业,生态旅游业,生态农业,生态林业4个方向引导开发。     

Case Study of Fog Predictability for an Event with Cold-Front Synoptic Pattern

Fog has recently become a frequent high-impact weather phenomenon along the coastal regions of North China. Accurate fog forecasting remains challenging due to limited understanding of the predictability and mechanism of fog formation associated with synoptic-scale circulation. One frequent synoptic pattern of fog formation in this area is associated with cold front passage(cold-front synoptic pattern, CFSP). This paper explored the predictability of a typical CFSP fog event from the perspective of analyzing key characteristics of synoptic-scale circulation determining fog forecasting performance and the possible mechanism. The event was ensemble forecasted with the Weather Research and Forecasting model. Two groups of ensemble members with good and bad forecasting performance were selected and composited. Results showed that the predictability of this case was largely determined by the simulated strengths of the cold-front circulation(i.e., trough and ridge and the associated surface high). The bad-performing members tended to have a weaker ridge behind a stronger trough, and associated higher pressure over land and a weaker surface high over the sea, leading to an adverse impact on strength and direction of steering flows that inhibit warm moist advection and enhance cold dry advection transported to the focus region. Associated with this cold dry advection, adverse synoptic conditions of stratification and moisture for fog formation were produced, consequently causing failure of fog forecasting in the focus region. This study highlights the importance of accurate synoptic-scale information for improved CFSP fog forecasting, and enhances understanding of fog predictability from perspective of synoptic-scale circulation.     

Predictability of Chinese Summer Extreme Rainfall Based on Arctic Sea Ice and Tropical Sea Surface Temperature

Chinese summer extreme rainfall often brings huge economic losses, so the prediction of summer extreme rainfall is necessary. This study focuses on the predictability of the leading mode of Chinese summer extreme rainfall from empirical orthogonal function(EOF) analysis. The predictors used in this study are Arctic sea ice concentration(ASIC) and regional sea surface temperature(SST) in selected optimal time periods. The most important role that Arctic sea ice(ASI) plays in the appearance of EOF1 may be strengthening the high pressure over North China, thereby preventing water vapor from going north. The contribution of SST is mainly at low latitudes and characterized by a significant cyclone anomaly over South China. The forecast models using predictor ASIC(PA), SST(PS), and the two together(PAS) are established by using data from 1980 to 2004. An independent forecast is made for the last 11 years(2005-2015). The correlation coefficient(COR) skills between the observed and cross-validation reforecast principal components(PC) of the PA, PS, and PAS models are 0.47, 0.66, and 0.76, respectively. These values indicate that SST is a major cause of Chinese summer extreme rainfall during 1980-2004. The COR skill of the PA model during the independent forecast period of 2004-2015 is 0.7, which is significantly higher than those of the PS and PAS models. Thus, the main factor influencing Chinese summer extreme rainfall in recent years has changed from low latitudes to high latitudes. The impact of ASI on Chinese summer extreme rainfall is becoming increasingly significant.     

深圳杨梅坑海域造礁石珊瑚共生藻分类和遗传多样性研究

通过核糖体ITS(Internal Transcribed Spacer)的核苷酸序列研究了深圳杨梅坑海域20种47个造礁石珊瑚样本的共生藻。通过ITS序列分析,与GenBank上的4种不同的共生藻构建Neighbor-Joining聚类树,进行石珊瑚共生藻分类和遗传多样性分析。结果表明,该海域的造礁石珊瑚共生藻属于2种不同的种类(亚系群),19个样品属于C1亚系群共生藻,1个样品属于C15亚系群共生藻,C1和C15两个亚系群共生藻之间的遗传距离为0. 01。将深圳杨梅坑海域得到的ITS序列与NCBI数据库上的福建东山海域、广东徐闻地区的C1系共生藻进行比对,只有深圳杨梅坑海域藻类样本平均(A+T)碱基含量为49. 4%,(A+T)含量小于(G+C)含量。构建Neighbor-Joining聚类树表明,深圳杨梅坑海域石珊瑚共生藻与福建东山海域的亲缘关系较近,而与广东徐闻地区的亲缘关系较远,地理隔离是主要的因素。     

Opportunistic-tended life history traits of Siniperca kneri in the Three Gorges Reservoir,China: potential responses to impoundment

Reservoir impoundment changes original fluvial habitats into lentic environments. Fish species adapted to lentic habitats may take the advantage of such habitat changes and show typical life history traits might facilitate the population increase. Siniperca kneri rarely occurred in fishery landing in the Three Gorges Reservoir (TGR) area before its impoundment in 2003, but it is now a dominant species. In this study, a total of 438 females of S . kneri were collected monthly during September 2012 through January 2014 using gill nets in the TGR. The age, growth, and reproductive biology were then investigated, and compared with other S . kneri populations. The standard length at age 1 was 149.9 mm in the TGR, which is larger than the three compared populations (i.e., Sandaohe Reservoir, Xinfengjiang Reservoir, and North River), but smaller than one (the Guishi Reservoir). The youngest mature female in the TGR was age 1, which is younger than that of the two compared populations (i.e., Xinfengjiang Reservoir and the North River). The relative fecundity in the TGR was 140 eggs/g, which is higher than that of the only available compared population (Xinfengjiang Reservoir, 96 eggs/g). Our results demonstrated that S . kneri in the TGR tended to have faster growth in the first year, a younger age at first maturation, and higher reproductive eff ort. We suggest that such opportunistic-tended life history traits might facilitate rapid increase of the population.     

面向双/多变量的连续面域拓扑图可视化方法

面域拓扑图是一种利用区域面积大小定量表达区域属性信息的可视化方法。由于其区域面积本身已经表示某一变量,因此这更有利于双/多变量的制图表达。针对目前基于面域拓扑图的双/多变量表达方法中存在的难以表达相邻区域之间基本状况和不利于不同地理现象的空间分布规律及差异表达的问题,本文提出一种面向双/多变量的连续面域拓扑图可视化方法。首先通过格网密度补偿和积分步长逐步试探的方法对基于扩散模型的连续面域拓扑图生成算法进行部分优化,完成基本变量的表达,然后分别通过空间内插和符号扩展完成第2和第3变量在连续面域拓扑图中的表达。最后以慕尼黑市人口密度和银行/ATM分布(双变量)数据以及奥格斯堡市人口密度数据、幼儿园分布以及规模数据(多变量)为试验数据进行可视化,并通过实证分析验证了该方法的有效性和优越性。