西沙永兴岛黑碳浓度特征初探

2012年5月6—9日利用黑碳仪获得了西沙永兴岛小时黑碳浓度数据。结果显示,西沙永兴岛黑碳小时浓度值变化范围为0.1~2.9 μg/m³,平均浓度为0.6 μg/m³,80.5%的小时浓度数据集中在0.2~0.7 μg/m³;黑碳浓度与风速、降水密切相关,风速大于2.5 m/s有利于黑碳扩散,降水对黑碳冲刷作用明显;黑碳浓度与背景区域的瓦里关黑碳浓度相近,高于背景区域的南极中山站,明显低于国内的多个城市及郊区的黑碳浓度。     

基于Landsat-8数据和劈窗算法的地表温度反演及城市热岛效应研究

陆地表面温度(Land Surface Temperature,LST)是地表能量平衡组分中的一个重要参数。随着卫星遥感技术的快速发展,遥感反演成为获取区域LST的一个重要手段。目前已有学者提出多种基于遥感数据反演LST的算法,其中劈窗算法被证明是一种精度较高的算法。基于Landsat-8卫星30 m空间分辨率的陆地成像仪(OLI)数据和100 m分辨率的热红外传感器(TIRS)数据,采用劈窗算法计算了无锡地区的LST,并采用地面实测水温数据和同步的MODIS温度产品对Landsat-8的计算结果进行了验证和对比分析。结果表明:基于Landsat-8数据和劈窗算法获取的LST精度较高,误差1K。在计算的LST结果基础上,进一步提取了热场变异指数来分析城市热岛空间分布特征,给出了城市热岛效应的定量化描述,并就不同地表覆盖类型对热岛效应的影响进行了分析。     

城市人为热排放分类研究及其对气温的影响

随着城市化进程日益加速,城市热岛现象愈发严重。利用上海市近50 a各区县月均温数据,统计分析了各区与崇明夏季每5 a均温差,发现热岛效应由市区中心向郊区延伸,范围越来越大,特别是20世纪80年代开始温差呈较大幅增加,城市热岛现象显著;在前人工作的基础上,分析热岛产生机制中的主要原因之一：城市中人为热排。绘制人为热排放流程图,并将城市人为热源进行分类,分析所有可能成为人为热排放源的设施以便定性及控制研究;对供给,消费和排出3种阶段的计算方法进行对比归纳,根据目的不同分别使用;分别计算燃油排热和燃煤排热以估算上海市人为热排放总量,统计上海市区和郊区的年均温及年均温差随时间变化及其与人为热排放之间的关系,发现两者之间有很好的相关性;最后就上海市夏季空调使用排热对上海市温度影响进行了定性研究,数字化上海市航片得到上海市建筑物分布图,假设楼层和空调密度之间存在相关性,发现空调排热与地面温度反演有着非常良好的一致性,同时也是造成上海城市高温的主要因素之一     

高瓦斯矿井孤岛综放采空区遗煤自燃综合防治技术

针对国阳二矿高瓦斯自燃煤层综放开采的实际情况,分析了"U+Ⅱ"型孤岛综放面采空区遗煤自燃特点及危险性。利用单元法对孤岛面的漏风状况进行了实测,并通过数值模拟分析了综放采空区内的漏风流场,根据采空区自燃"三带"的渗流风速确定了可能自燃带的范围,表明采空区漏风是"U+Ⅱ"型孤岛综放面采空区遗煤自燃的主要危险因素。在此基础上,结合实际情况系统地制定了以有效控制采空区漏风和重点发火区域注胶为主的综合防灭火技术措施,为有效控制综放采空区遗煤自燃,实现矿井高产高效、安全生产提供技术保障。实践表明,运用控制工作面风量与高抽巷负压、均压堵漏、压注胶体防灭火材料及加快工作面推进速度等综合防灭火技术防治高瓦斯矿井"U+Ⅱ"型孤岛综放面采空区遗煤自燃是可行的。     

中国资源驱动型岛屿旅游经济发展分析

从我国沿海岛屿旅游十几年的发展历程来看,各沿海岛屿由于所处的地理位置、历史条件、气候条件及资源与文化丰度差异,决定了其旅游发展水平与发展方式存在明显不同。从旅游发展主要驱动力角度,探讨了那些依托其独特旅游资源开发带动经济发展的岛屿经济发展模式。     

城市化与北京增温的协整分析

城市增温现象和城市热岛效应对人居环境的影响日益显著，而城市化是否是城市增温现象的一个主要影响因素，为此。利用协整分析等经济计量方法研究城市化对城市增温现象的影响。协整分析是近年来计量经济学发展的最新成果，能够揭示变量之间存在着的长期均衡变动关系。分析发现，城市化因子与城市气候因子之间存在着协整关系。长期看北京市的年平均最低温度与人口密度基本上处于同步增长状态；短期内城市气温的变动受人口和城市化因素的影响较大。为此可知，北京市70年代以来，城市气温的升高基本上与城市化的发展相一致。二者具有长期协同变动的均衡关系。这些发现对我们制定减缓城市热岛效应的城市规划以及合理人口规模的城市发展战略都有很大的帮助。     

Effects of a tropical cyclone on the drinking-water quality of a remote Pacific island

The effect of a cyclone (Ami, January 2003) on drinking-water quality on the island of Vanua Levu, Fiji was investigated. Following the cyclone nearly three-quarters of the samples analysed did not conform to World Health Organisation (WHO) guideline values for safe drinking-water in terms of chlorine residual, total and faecal coliforms, and turbidity. Turbidity and total coliform levels significantly increased (up 56 and 62 per cent, respectively) from pre-cyclone levels, which was likely due to the large amounts of silt and debris entering water-supply sources during the cyclone. The utility found it difficult to maintain a reliable supply of treated water in the aftermath of the disaster. Communities were unaware they were drinking water that had not been adequately treated. Circumstances permitted this cyclone to be used as a case study to assess whether a simple paper-strip water-quality test (the hydrogen sulphide, H(2)S) kit could be distributed and used for community-based monitoring following such a disaster event to better protect public health. The H(2)S test results correlated well with faecal and total coliform results as found in previous studies. A small percentage of samples (about 10 per cent) tested positive for faecal and total coliforms but did not test positive in the H(2)S test. It was concluded that the H(2)S test would be well suited to wider use, especially in the absence of water-quality monitoring capabilities for outer island groups as it is inexpensive and easy to use, thus enabling communities and community health workers with minimal training to test their own water supplies without outside assistance. The importance of public education before and after natural disasters is also discussed.     

Environmental Vulnerability Indicators for Environmental Planning and Decision-Making: Guidelines and Applications

Environmental decision-making and policy-making at all levels refers necessarily to synthetic, approximate quantification of environmental properties such as vulnerability, conservation status, and ability to recover after perturbation. Knowledge of such properties is essential to informed decision-making, but their definition is controversial and their precise characterization requires investments in research, modeling, and data collection that are only possible in the most developed countries. Environmental agencies and governments worldwide have increasingly requested numerical quantification or semiquantitative ranking of such attributes at the ecosystem, landscape, and country level. We do not have a theory to guide their calculation, in general or specific contexts, particularly with the amount of resources usually available in such cases. As a result, these measures are often calculated with little scientific justification and high subjectivity, and such doubtful approximations are used for critical decision-making. This problem applies particularly to countries with weak economies, such as small island states, where the most precious environmental resources are often concentrated. This paper discusses frameworks for a “least disappointing,” approximate quantification of environmental vulnerability. After a review of recent research and recent attempts to quantify environmental vulnerability, we discuss models and theoretical frameworks for obtaining an approximate, standardizable vulnerability indicator of minimal subjectivity and maximum generality. We also discuss issues of empirical testing and comparability between indicators developed for different environments. To assess the state of the art, we describe an independent ongoing project developed in the South Pacific area and aimed to the comparative evaluation of the vulnerability of arbitrary countries.     

Ecological Correlates and Conservation Implications of Overestimating Species Geographic Ranges

Abstract:  Species range maps based on extents of occurrence (EOO maps) have become the basis for many analyses in broad-scale ecology and conservation. Nevertheless, EOO maps are usually highly interpolated and overestimate small-scale occurrence, which may bias research outcomes. We evaluated geographical range overestimation and its potential ecological causes for 1158 bird species by quantifying EOO map occurrence across 4040 well-studied survey locations in Australia, North America, and southern Africa at the scale of 80–742 km². Most species occurred in only 40–70% of the range indicated by their EOO maps. The observed proportional range overestimation affected the range-size frequency distribution, indicating that species are more range-restricted than suggested by EOO maps. The EOO maps most strongly overestimated the distribution of narrow-ranging species and ecological specialists with narrow diet and habitat breadth. These relationships support basic ecological predictions about the relationship between niche breadth and the fine-scale occurrence of species. Consequently, at-risk species were subject to particularly high proportional range overestimation, on average 62% compared with 37% of nonthreatened species. These trends affect broad-scale ecological analyses and species conservation assessments, which will benefit from a careful consideration of potential biases introduced by range overestimation.     

Importance of dispersal routes that minimize open‐ocean movement to the genetic structure of island populations

Islands present a unique scenario in conservation biology, offering refuge yet imposing limitations on insular populations. The Kimberley region of northwestern Australia has more than 2500 islands that have recently come into focus as substantial conservation resources. It is therefore of great interest for managers to understand the driving forces of genetic structure of species within these island archipelagos. We used the ubiquitous bar‐shouldered skink (Ctenotus inornatus) as a model species to represent the influence of landscape factors on genetic structure across the Kimberley islands. On 41 islands and 4 mainland locations in a remote area of Australia, we genotyped individuals across 18 nuclear (microsatellite) markers. Measures of genetic differentiation and diversity were used in two complementary analyses. We used circuit theory and Mantel tests to examine the influence of the landscape matrix on population connectivity and linear regression and model selection based on Akaike's information criterion to investigate landscape controls on genetic diversity. Genetic differentiation between islands was best predicted with circuit‐theory models that accounted for the large difference in resistance to dispersal between land and ocean. In contrast, straight‐line distances were unrelated to either resistance distances or genetic differentiation. Instead, connectivity was determined by island‐hopping routes that allow organisms to minimize the distance of difficult ocean passages. Island populations of C. inornatus retained varying degrees of genetic diversity (N_A = 1.83 – 7.39), but it was greatest on islands closer to the mainland, in terms of resistance‐distance units. In contrast, genetic diversity was unrelated to island size. Our results highlight the potential for islands to contribute to both theoretical and applied conservation, provide strong evidence of the driving forces of population structure within undisturbed landscapes, and identify the islands most valuable for conservation based on their contributions to gene flow and genetic diversity.