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首页> 外文期刊>Journal of Soil and Water Conservation >Geospatial assessment of agricultural lands critical to air quality on the Columbia Plateau, Washington State
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Geospatial assessment of agricultural lands critical to air quality on the Columbia Plateau, Washington State

机译:华盛顿州哥伦比亚高原对空气质量至关重要的农业用地的地理空间评估

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摘要

The soils and landscape of the Columbia Plateau in eastern Washington and northeastern Oregon have developed primarily as a result of redistribution of glacial outwash sediments by wind. Contemporary agricultural disturbance of regional soils facilitates wind erosion that impairs downwind air quality by the introduction into the atmosphere of large quantities of particulate aerosols less than 10 microns in aerodynamic diameter (PM10). Reducing these agricultural contributions to PM10, concentrations in urban areas has been identified as a critical component of regional compliance under the Clean Air Act. We designed a sampling and analysis scheme to develop empirical relationships first between total mass flux during wind tunnel erosion trials and soil aggregate size distributions; and second between soil PM10 emission potentials and primary particle size distributions. We then applied those empirical relationships to predict potential total soil erodibility and potential PM10 emissions at a larger set of field soil sample sites. The resultant point predictions were interpolated spatially using geostatistical methods to generate a prediction map of PM,c, emissions hazard, which is similar to the U.S. Department of Agriculture (USDA) Farm Services Agency map of air quality conservation priority areas for the Columbia Plateau. [References: 25]
机译:华盛顿东部和俄勒冈州东北部哥伦比亚高原的土壤和景观的发展主要是由于风对冰川冲积沉积物的重新分配。当代农业对区域土壤的扰动通过将大量空气动力学直径(PM10)小于10微米的颗粒状气溶胶引入大气,加剧了风蚀,从而削弱了顺风空气质量。减少农业对PM10的贡献,根据《清洁空气法》,城市地区的集中度已被确定为区域合规性的重要组成部分。我们设计了一种采样和分析方案,以首先建立风洞侵蚀试验期间的总质量通量与土壤团粒尺寸分布之间的经验关系;其次是土壤PM10的排放潜力和一次粒径分布。然后,我们利用这些经验关系来预测在更大范围的田间土壤采样点处潜在的总土壤可蚀性和潜在的PM10排放。使用地统计方法在空间上对所得的点预测进行插值,以生成PM,c排放危害的预测图,该图类似于美国农业部(USDA)农业服务局的哥伦比亚高原空气质量保护优先区域图。 [参考:25]

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