The transport of dissolved organic matter by river networks from mountains to the sea: a re-examination of the role of flow across temporal and spatial scales

河流网络将溶解的有机物从山区输送到海洋：重新审视跨时间和空间尺度的流动作用

• 批准号: 1240593
• 负责人: Mark Green
• 金额: $ 2.54万
• 依托单位: Plymouth State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1240593&HistoricalAwards=false
• 关键词: transport; dissolved; organic; matter; river

This project will facilitate the collaboration of a group of scientists interested in delivery, transport and transformation of organic matter in a variety of surface waters. The group will synthesize data across spatial and temporal scales and bring together a multi-disciplinary team at the John Wesley Powell Center for Analysis and Synthesis. The effort will re-evaluate the fundamental relationships between discharge and DOM concentration and composition and focus on synthesizing mature datasets from small headwater basins to large coastal basins using statistical techniques and modeling. Data are available that represent a range of temporal sampling intensities from seasonal samples, to more frequent samples from automated samplers, and finally to data from continuous optical sensors. This synthesis collaboration is expected to advance scientific understanding of the processes and patterns of organic matter transport by exploring key data sets at a level of detail and scale that has not previously been attempted. The work is expected to also benefit the policy and management communities that rely on data, models, and understanding of the controls on nutrient, trace metal, and pollutant transport in river networks and to estuaries. This is a joint synthesis projects with the USGS Powell Center, Fort Collins Colorado.

该项目将促进一组对有机物质在各种地表沃茨中的输送、运输和转化感兴趣的科学家之间的合作。 该小组将综合跨空间和时间尺度的数据，并在约翰·韦斯利·鲍威尔分析和综合中心汇集一个多学科团队。这项工作将重新评估排放量和DOM浓度和组成之间的基本关系，并侧重于使用统计技术和建模来综合从小型源头流域到大型沿海流域的成熟数据集。数据是可用的，代表了一系列的时间采样强度从季节性的样本，更频繁的样本从自动采样器，最后从连续的光学传感器的数据。这一综合合作预计将通过以前所未有的详细程度和规模探索关键数据集，促进对有机物迁移过程和模式的科学认识。预计这项工作还将使依赖数据、模型以及对河流网络和河口中营养物、微量金属和污染物运输控制的了解的政策和管理界受益。这是一个与柯林斯堡科罗拉多的美国地质勘探局鲍威尔中心的联合综合项目。