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Air Pollution Vulnerability of 22 Midwestern Parks

机译:中西部22个公园的空气污染脆弱性

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It is common knowledge that air pollution increases in United States national parks as sources grow closer. It follows that, as this happens, biota in the parks will be increasingly affected, as has occurred in cities. Given that there are about 360 national park units in this country, can it be determined in advance which parks will be more impacted by these air pollutants than others? Can parks be ranked for vulnerability to air pollutants, and, if so, what variables would be used? Are air pollutant data sufficient for ranking, or are data also needed on sensitive resources? This study of 22 park units in the midwestern United States attempted to answer these questions. Plant lists were compiled for the 22 parks, relative abundances of all species (common, intermediate, rare) estimated, their sensitivities from their life cycle types (annual, perennial-deciduous, perennial-evergreen) determined, and overall vulnerability as the average product of the two was calculated using a 3-2-1 scale for weighting the abundances. Scotts Bluff National Monument in western Nebraska was the most vulnerable park in the region, while Isle Royale National Park in Lake Superior was the least. This difference was due to the higher abundances of annual plant species in Scotts Bluff. Changing the values used for abundances changed the order of park vulnerabilities. Three air pollutants (ozone, sulfur dioxide, and sulfate) were found to increase from west to east in the midwest. Overlaying these patterns on the park vulnerabilities, and a cluster analysis of the data, resulted in a determination of the air pollution risks to groups of parks. The parks most at risk (high vulnerability + high pollution levels) were two in Ohio (Hopewell Culture National Historical Park and Cuyahoga Valley National Recreation Area) and one in Indiana (Lincoln Boyhood National Memorial). Ten parks were grouped at lowest risk and were found in an arc from Lake Superior, northern Minnesota, and Wisconsin through Nebraska and Kansas. Parks were clustered in the same risk groups, regardless of whether or not vulnerability was included. Thus, the determination of risk can be made using air pollutant data only. Slightly different risk groups were found using vulnerability alone, without the air pollutant data. For various reasons, it may still be desirable to calculate park vulnerabilities, but it is a formidable and difficult task using the complete flora for an area. Of three different surrogate methods tested for a relationship with overall vulnerability, only one appeared to be useful. Vulnerability could be directly calculated if a park's vegetative structure was known without assembling the complete flora.
机译:众所周知,随着污染源的增加,美国国家公园的空气污染也在增加。因此,随着这种情况的发生,公园中的生物群落将受到越来越多的影响,就像城市中发生的那样。鉴于这个国家大约有360个国家公园单位,是否可以提前确定哪些公园比其他公园受到这些空气污染物的影响更大?是否可以对公园进行空气污染物脆弱性排名?如果是,将使用哪些变量?空气污染物数据是否足以进行排名,还是还需要有关敏感资源的数据?这项对美国中西部22个公园单位的研究试图回答这些问题。编制了22个公园的植物清单,估算了所有物种(常见,中间,稀有)的相对丰度,确定了其根据其生命周期类型(年生,多年生落叶,多年生常绿)的敏感性,并将总体脆弱性作为平均产品使用3-2-1量表对两者的权重进行加权计算。内布拉斯加州西部的斯科茨布拉夫国家纪念碑是该地区最脆弱的公园,而苏必利尔湖的皇家岛国家公园则最少。这种差异是由于斯科茨布拉夫的一年生植物种类丰富。更改用于丰度的值将更改公园漏洞的顺序。发现三种空气污染物(臭氧,二氧化硫和硫酸盐)在中西部从西向东增加。将这些模式覆盖在公园漏洞上,并对数据进行聚类分析,从而确定了公园群体的空气污染风险。面临最高风险(高脆弱性和高污染水平)的公园是俄亥俄州的两处(霍普韦尔文化国家历史公园和库雅荷加谷国家游乐区),印第安纳州的一处(林肯少年时期国家纪念馆)。十个公园被归类为风险最低的公园,位于从苏必利尔湖,明尼苏达州北部和威斯康星州穿过内布拉斯加州和堪萨斯州的一条弧线上。不管是否包括脆弱性,公园都聚集在相同的风险组中。因此,只能使用空气污染物数据来确定风险。没有空气污染物数据,仅使用脆弱性就发现了略有不同的风险组。由于各种原因,仍然可能需要计算公园的脆弱性,但是使用整个区域的植物群是一项艰巨而艰巨的任务。在测试三种与整体脆弱性相关的替代方法中,只有一种似乎有用。如果已知公园的植物结构而没有组装完整的植物,则可以直接计算脆弱性。

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