首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Acidification and recovery at mountain lakes in Central Alps assessed by the MAGIC model
  • 其他标题:Acidification and recovery at mountain lakes in Central Alps assessed by the MAGIC model
  • 本地全文:下载
  • 作者:Michela ROGORA
  • 期刊名称:Journal of limnology
  • 印刷版ISSN:1129-5767
  • 电子版ISSN:1723-8633
  • 出版年度:2004
  • 卷号:63
  • 期号:1
  • 页码:133-142
  • DOI:10.4081/jlimnol.2004.133
  • 出版社:Istituto italiano di idrobiologia
  • 摘要:The dynamic model MAGIC was calibrated and applied to 84 lakes in Central Alps to predict the response of water chemistry to different scenarios of atmospheric deposition of S and N compounds. Selected lakes were representative of a wide range of chemical characteristics and of sensitivity to acidification. The most sensitive lakes have already shown in the latest years signs of recovery in terms of pH and ANC. The model well captured the main trends in lake chemical data. According to the model forecast, recovery at sensitive lakes will continue in the next decades under the hypothesis of a further decrease of acidic input from the atmosphere. Results clearly demonstrated the benefits of achieving the emission reductions in both S and N compounds agreed under the Gothenburg Protocol. Nevertheless, besides the achieved reduction of SO4 2- deposition from the peak levels of the 80s, also N deposition should be reduced in the near future to protect alpine lakes from further acidification. The condition of lake catchments with regard to N saturation will probably be the dominant factor driving recovery extent. Beside atmospheric deposition, other factors proved to be important in determining long-term changes in surface water chemistry. Climate warming in particular affects weathering processes in lake catchments and dynamics of the N cycle. Including other factors specific to the alpine area, such as dust deposition and climate change, may improve the fit of experimental data by the model and the reliability of model forecast.
  • 关键词:atmospheric deposition; water chemistry; modelling; trend; nitrogen
国家哲学社会科学文献中心版权所有