title: Analysis of nodal point pollution, variability, and sustainability in mesohaline tidal creeks.
abstract: Mesohaline tidal creeks are critical since they may lie at the crossroads of aquatic habitat and urban/sub-urban pressures. The emphasis of this study was to determine the water quality stressor variations within and between tidal creeks and determine whether they serve as nodes of pollutants into the sub-estuary. Measurements of water quality stressors were conducted over a six-year period. The study revealed that characterizing the variability of individual tidal creeks is critical to understanding the process and impacts of stressors in sub-estuarine environments and that the tidal creeks are actually nodal points of sediment and nutrient pollution. This results in hypoxia being controlled within tidal creeks rather than being imported from the parent estuary. The calculated metrics were then used to create a Sustainability Characterization Map. Methods incorporated in this study would be of value to restoration managers, and in the decision-making process of urban and suburban watershed planners.
authors.affiliation: United States Naval Academy, Oceanography Department, Annapolis, MD 21402, USA. Electronic address: amuller@usna.edu.
authors.forename: Andrew
authors.initials: A
authors.lastname: Muller
authors.affiliation: Director of Science, South River Federation, Edgewater, MD 21037, USA. Electronic address: southriverkeeperdiana@gmail.com.
authors.forename: Diana
authors.initials: D
authors.lastname: Muller
mesh_terms: D061006:Bays; D017753:Ecosystem; D004777:Environment; D004784:Environmental Monitoring / Q000379:methods*; D004787:Environmental Pollution; D005843:Geography; D019015:Geologic Sediments; D006863:Hydrogen-Ion Concentration; D008396:Maryland; D013696:Temperature; D014867:Water / Q000737:chemistry; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D014873:Water Pollutants; D014867:Water
keywords: Hypoxia; Means comparison test; Nodal point; Spatial analysis; Sustainability; Variability