首页> 外文期刊>Water, Air, and Soil Pollution >The Aquatic Acidification Index: A New Regulatory Metric Linking Atmospheric and Biogeochemical Models to Assess Potential Aquatic Ecosystem Recovery
【24h】

The Aquatic Acidification Index: A New Regulatory Metric Linking Atmospheric and Biogeochemical Models to Assess Potential Aquatic Ecosystem Recovery

机译:水生酸化指数:链接大气和生物地球化学模型以评估潜在水生生态系统恢复的新监管指标

获取原文
获取原文并翻译 | 示例
       

摘要

US National Ambient Air Quality Standards (NAAQS) are based on quantitative linkages between ambient air concentrations and an effects indicator. Critical loads (CLs) can provide quantitative information on safe levels of atmospheric deposition to aquatic systems, but CLs cannot be directly used in the NAAQS context because they are not expressed in terms of atmospheric concentrations. Here, we describe the aquatic acidification index (AAI) model that incorporates CL concepts and relates atmospheric nitrogen and sulfur concentrations to an acid neutralizing capacity (ANC) effects indicator (Fig. 1). The AAI estimates the potential surface water ANC associated with a set of atmospheric concentrations of nitrogen and sulfur and a region's biogeochemical and hydrological attributes by combining steady-state CL modeling with air quality modeling outputs. Initial applications of the AAI model yielded results consistent with well-recognized spatial patterns of acid-sensitive aquatic systems. Furthermore, the response of AAI predictions to future year changes in NO_x and SO_x emissions suggest that planned national emission reduction strategies designed to reduce ozone and particulate matter air pollution will produce increases in surface water ANC.
机译:美国国家环境空气质量标准(NAAQS)基于环境空气浓度和影响指标之间的定量联系。临界负荷(CLs)可以为水生系统提供有关大气沉积物安全水平的定量信息,但是CLs不能直接在NAAQS上下文中使用,因为它们不是用大气浓度来表示的。在这里,我们描述了结合了CL概念的水生酸化指数(AAI)模型,并将大气中的氮和硫浓度与酸中和能力(ANC)效果指标相关联(图1)。 AAI通过将稳态CL建模与空气质量建模输出结合起来,估算了与一系列大气中的氮和硫浓度以及一个地区的生物地球化学和水文属性相关的潜在地表水ANC。 AAI模型的最初应用产生了与酸敏感水生系统公认的空间模式一致的结果。此外,AAI预测对未来一年NO_x和SO_x排放量变化的反应表明,旨在减少臭氧和颗粒物空气污染的国家减排计划将增加地表水ANC。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号