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首页> 外文期刊>International Scholarly Research Notices >Associations of the Burden of Coal Abandoned Mine Lands with Three Dimensions of Community Context in Pennsylvania
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Associations of the Burden of Coal Abandoned Mine Lands with Three Dimensions of Community Context in Pennsylvania

机译:宾夕法尼亚州社区语境的三个维度与煤炭废弃矿山负担的关联

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Background. Pennsylvania, with thousands of abandoned coal mines and miles of streams polluted with acid mine drainage, has the largest domestic coal mining burden contributing to deterioration of communities.Objectives. To evaluate contextual aspects by examining associations between coal abandoned mine lands (AML) and community measures of socioeconomic deprivation, social disorganization, and physical disorder.Methods. AML exposure data from the Reclaimed Abandoned Mine Land Inventory System were used to create density, diversity, accessibility, and clustering metrics. The three community context outcome measures were comprised of 14 census variables. In community-level analyses, 10 AML variables were evaluated separately with each dimension of community context, adjusting for covariates, in communities with and without abandoned mines.Results. We observed consistent associations between higher AML burden and worse socioeconomic deprivation, negative relations with social disorganization, but no statistically significant associations with physical disorder. Six of 10 AML variables were associated with socioeconomic deprivation, many consistently exhibiting exposure-effect patterns of worse deprivation with greater AML.Conclusions. Higher AML was associated with higher socioeconomic deprivation. These results can help prioritize the use of Surface Mining Control and Reclamation Act funds and inform decisions regarding Marcellus shale drilling to prevent analogous environmental degradation and public health impacts.
机译:背景。宾夕法尼亚州拥有成千上万个废弃煤矿,数英里的溪流被酸性矿井的排污污染,是国内最大的煤矿开采负担,导致社区环境恶化。通过检查煤矿废弃矿区(AML)与社会经济剥夺,社会组织混乱和身体混乱的社区措施之间的关联来评估上下文方面。来自回收废弃矿山土地清单系统的AML暴露数据用于创建密度,多样性,可访问性和聚类指标。这三个社区背景结果指标由14个人口普查变量组成。在社区层面的分析中,在有或没有废弃地雷的社区中,对社区环境的每个维度分别评估了10个AML变量,并针对协变量进行了调整。我们观察到较高的AML负担与较差的社会经济剥夺,与社会混乱的消极关系之间存在一致的关联,但与身体疾病没有统计学上的显着关联。 10个AML变量中有6个与社会经济剥夺有关,许多变量始终显示出更大的AML导致更糟的剥夺的暴露效应模式。较高的AML与较高的社会经济剥夺有关。这些结果可以帮助优先考虑使用《露天采矿控制和填海法》资金,并为有关Marcellus页岩钻井的决策提供依据,以防止类似的环境退化和公共健康影响。

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