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首页> 外文期刊>Environmental Science & Technology >First Dynamic Model of Dissolved Organic Carbon Derived Directly from High-Frequency Observations through Contiguous Storms
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First Dynamic Model of Dissolved Organic Carbon Derived Directly from High-Frequency Observations through Contiguous Storms

机译：直接通过连续暴风雨的高频观测直接获得的溶解有机碳的第一个动力学模型

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摘要

The first dynamic model of dissolved organic carbon (DOC) export in streams derived directly from high frequency (subhourly) observations sampled at a regular interval through contiguous storms is presented. The optimal model, identified using the recently developed RIVC algorithm, captured the rapid dynamics of DOC load from 15 min monitored rainfall with high simulation efficiencies and constrained uncertainty with a second-order (two-pathway) structure. Most of the DOC export in the four headwater basins studied was associated with the faster hydrometric pathway (also modeled in parallel), and was soon exhausted in the slower pathway. A delay in the DOC mobilization became apparent as the ambient temperatures increased. These features of the component pathways were quantified in the dynamic response characteristics (DRCs) identified by RIVC. The model and associated DRCs are intended as a foundation for a better understanding of storm-related DOC dynamics and predictability, given the increasing availability of subhourly DOC concentration data.
机译：提出了第一个动态模型，该模型直接从连续（有规律的时间间隔）通过连续暴风雨采样的高频（亚小时）观测资料中直接导出流中的溶解有机碳（DOC）。使用最近开发的RIVC算法确定的最佳模型，利用高模拟效率和二阶（双路径）结构，在15分钟的监测降雨中捕获了DOC负载的快速动态，并具有较高的模拟效率。在所研究的四个源头流域中，大多数DOC的出口与更快的水文路径有关（也并行建模），很快就在较慢的路径中被耗尽。随着环境温度的升高，DOC动员的延迟变得很明显。通过RIVC识别的动态响应特征（DRC）量化了成分途径的这些特征。鉴于亚小时DOC浓度数据的可用性越来越高，该模型和相关的DRC旨在更好地了解与风暴有关的DOC动态和可预测性。

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  • 来源
    《Environmental Science & Technology》 |2014年第22期|13289-13297|共9页
  • 作者

    Timothy D. Jones; Nick A. Chappell; Wlodek Tych;

  • 作者单位

    Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, U.K.;

    Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, U.K.;

    Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, U.K.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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