title: Linking innovative measurement technologies (ConMon and Dataflow© systems) for high-resolution temporal and spatial dissolved oxygen criteria assessment.
abstract: One consequence of nutrient-induced eutrophication in shallow estuarine waters is the occurrence of hypoxia and anoxia that has serious impacts on biota, habitats, and biogeochemical cycles of important elements. Because of the important role of dissolved oxygen (DO) on these ecosystem features, a variety of DO criteria have been established as indicators of system condition. However, DO dynamics are complex and vary on time scales ranging from diel to decadal and spatial scales from meters to multiple kilometers. Because of these complexities, determining DO criteria attainment or failure remains difficult. We propose a method for linking two common measurement technologies for shallow water DO criteria assessment using a Chesapeake Bay tributary as a test case. Dataflow© is a spatially intensive (30-60-m collection intervals) system used to map surface water conditions at the whole estuary scale, and ConMon is a high-frequency (15-min collection intervals) fixed station approach. The former technology is effective with spatial descriptions but poor regarding temporal resolution, while the latter provides excellent temporal but very limited spatial resolution. Our methodology for combining the strengths of these measurement technologies involved a sequence of steps. First, a statistical model of surface water DO dynamics, based on temporally intense ConMon data, was developed. The results of this model were used to calculate daily DO minimum concentrations. Second, this model was then inserted into Dataflow©-generated spatial maps of DO conditions and used to adjust measured DO concentrations to daily minimum concentrations. This information was used to assess DO criteria compliance at the full tributary scale. Model results indicated that it is vital to consider the short-term time scale DO criteria across both space and time concurrently. Large fluctuations in DO occurred within a 24-h time period, and DO dynamics varied across the length and width of the tributary. The overall result provided a more detailed and realistic characterization of the shallow water DO minimum conditions that have the potential to be extended to other tributaries and regions. Broader applications of this model include instantaneous DO criteria assessment, utilizing this model in combination with aerial remote sensing, and developing DO amplitude as an indicator of impaired water bodies.
authors: School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11947, USA. cecilia.oleary@stonybrook.edu.
authors: C A
authors: CA
authors: O'Leary
authors: Statistics Consultant, 2000 Kings Landing Rd, Huntingtown, MD, 20639, USA.
authors: E
authors: E
authors: Perry
authors: Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, PO Box 38, Solomons, MD, 20688, USA.
authors: A
authors: A
authors: Bayard
authors: Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, PO Box 38, Solomons, MD, 20688, USA.
authors: L
authors: L
authors: Wainger
authors: Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, PO Box 38, Solomons, MD, 20688, USA.
authors: W R
authors: WR
authors: Boynton
mesh_terms: D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D063366:Estuaries; D005068:Eutrophication; D008396:Maryland; D008962:Models, Theoretical; D010100:Oxygen / Q000032:analysis*
chemical_list: D010100:Oxygen
keywords: Assessment; Chesapeake; ConMon; Dataflow©; Dissolved oxygen; Hypoxia