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Full-Text Articles in Geology

Submarine Groundwater Discharge Data At Meter Scale (223ra, 224ra, 226ra, 228ra And 222rn) In Indian River Bay (Delaware, Us), Carlos Duque, Karen L. Knee, Christopher J. Russoniello, Mahmound Sherif, Usama A. Abu Risha, Neil C. Sturchio, Holly A. Michael Jan 2019

Submarine Groundwater Discharge Data At Meter Scale (223ra, 224ra, 226ra, 228ra And 222rn) In Indian River Bay (Delaware, Us), Carlos Duque, Karen L. Knee, Christopher J. Russoniello, Mahmound Sherif, Usama A. Abu Risha, Neil C. Sturchio, Holly A. Michael

Faculty & Staff Scholarship

Abstract

Submarine groundwater discharge (SGD) was sampled at high-spatial resolution in Indian River Bay, DE, USA, in July 2016 to characterize the spatial variability of the activity of the radium and radon isotopes commonly used to estimate SGD. These data were part of an investigation into the methods and challenges of characterizing SGD rates and variability, especially in the coastal aquifer transition from freshwater to saltwater (Hydrogeological processes and near shore spatial variability of radium and radon isotopes for the characterization of submarine groundwater discharge (Duque et al., 2019)). Samples were collected with seepage meters and minipiezometers to obtain sufficient …


Reducing Uncertainties In Applying Remotely Sensed Land Use And Land Cover Maps In Land-Atmosphere Interaction: Identifying Change In Space And Time, Yaqian He, Timothy A. Warner, Brenden E. Mcneil, Eungul Lee Jan 2018

Reducing Uncertainties In Applying Remotely Sensed Land Use And Land Cover Maps In Land-Atmosphere Interaction: Identifying Change In Space And Time, Yaqian He, Timothy A. Warner, Brenden E. Mcneil, Eungul Lee

Faculty & Staff Scholarship

Land use and land cover (LULC) data are a central component of most land-atmosphere interaction studies, but there are two common and highly problematic scale mismatches between LULC and climate data. First, in the spatial domain, researchers rarely consider the impact of scaling up fine-scale LULC data to match coarse-scale climate datasets. Second, in the temporal domain, climate data typically have sub-daily, daily, monthly, or annual resolution, but LULC datasets often have much coarser (e.g., decadal) resolution. We first explored the effect of three spatial scaling methods on correlations among LULC data and a land surface climatic variable, latent heat …