2015 Hammer Solute Tracer Injections

Observed in-stream timeseries of concentration for two whole-stream, pulse (aka slug) injections of uranine and resazurin in two reaches of the Hammer Stream (West Sussux, UK) with contrasting morphology (one sand bed, one gravel bed). In-stream monitoring includes background- and drift-corrected timeseries of uranine, resazurin, and resorufin collected at mulitple locations along the stream channel. Sand-bed reach data are described and interpreted by: Blaen PJ, et al. (2018). Woody debris is related to reach‐scale hotspots of lowland stream ecosystem respiration under baseflow conditions. Ecohydrology. https://doi.org/10.1002/eco.1952 A sub-set of the sand-bed and gravel-bed data are described and interpreted by: Kelleher, CA, et al. (2019). Exploring Tracer Information and Model Framework Trade‐offs to Improve Estimation of Stream Transient Storage Processes. Water Resources Research.https://doi.org/10.1029/2018WR023585 Primary data collection, quality control, and interpretation is attributable to all authors on the publications cited above. Data collection was primarily funded by the Leverhulme Trust via the following award: Where rivers, groundwater, and disciplines meet: a hyporheic research network Principal Investigators: Stefan Krause (Univ. of Birmingham), Jay Zarnetske (Yale University), Adam S. Ward (Indiana University), Scott Larned (National Institute of Water and Atmospheric Research), Thibault Datry (National Research Institute of Science and Technology for Environment and Agriculture), Eugenia Marti (Center for Advanced Studies of Blanes, National Research Council), Jan Fleckenstein (Helmholtz Centre for Environmental Research)本数据集记录了英国西萨塞克斯郡哈默河（Hammer Stream）两个地貌特征迥异的河段（分别为沙质河床与砾石河床）中，两次全河段荧光素钠（uranine）与刃天青（resazurin）段塞（又称脉冲）注入的原位浓度时间序列。原位监测涵盖沿河道多个点位采集的、经本底与漂移校正的荧光素钠、刃天青及试卤灵（resorufin）浓度时间序列。 沙质河床河段的数据集由Blaen PJ等人（2018年）完成描述与阐释：《枯水条件下木质碎屑与低地河流河段尺度生态呼吸热点的关联》，《生态水文学》，https://doi.org/10.1002/eco.1952 沙质与砾石河床数据集的子集由Kelleher CA等人（2019年）完成描述与阐释：《探究示踪信息与模型框架的权衡以优化河流瞬态存储过程的估算》，《水资源研究》，https://doi.org/10.1029/2018WR023585 本数据集的原始数据采集、质量控制与阐释工作由上述两篇文献的全体作者共同完成。 数据采集主要由利弗休姆信托基金通过以下项目资助：《河流、地下水与多学科交汇：潜带研究网络》（Where rivers, groundwater, and disciplines meet: a hyporheic research network） 首席研究员包括：斯特凡·克劳斯（英国伯明翰大学）、杰伊·扎内茨克（耶鲁大学）、亚当·S·沃德（印第安纳大学）、斯科特·拉尼德（新西兰国家水与大气研究所）、蒂博·达特里（法国国家环境与农业科学技术研究院）、欧金尼娅·马蒂（西班牙国家研究委员会布拉内斯高等研究中心）、扬·弗莱肯施泰因（德国亥姆霍兹环境研究中心）