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A Framework for Evaluating Island Restoration Performance: A Case Study from the Chesapeake Bay

Jenny Davis, Paula Whitfield, Danielle Szimanski, Becky Raves Golden, Matt Whitbeck, Joe Gailani, Brook Herman, Amanda Tritinger, S Catie Dillon, Jeffrey King
2021 Integrated Environmental Assessment and Management  
Here we highlight the recent restoration of Swan Island in the Chesapeake Bay, and the collaborative approach used to evaluate post-construction performance, as a framework for quantitative evaluation  ...  The model will be used to predict island performance under a range of different system scenarios and used to inform adaptive management options.  ...  SWAN ISLAND: A CASE STUDY Swan Island, Maryland, USA, is an uninhabited 25-acre island within the Martin National Wildlife Refuge in Tangier Sound, Chesapeake Bay.  ... 
doi:10.1002/ieam.4437 pmid:33913621 fatcat:fdmhbnjz3ndwrpe3rvcywljepa

Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay

M. Herrmann, R. G. Najjar, F. Da, J. Friedman, M. A. M. Friedrichs, S. Goldberger, A. Menendez, E. H. Shadwick, E. G. Stets, P. St‐Laurent
2020 Journal of Geophysical Research - Oceans  
Here, we explore the potential of utilizing the abundance of pH data from historical water quality monitoring programs to fill the data void via a case study of the mainstem Chesapeake Bay (eastern United  ...  Averaged over 1998-2018, the mainstem bay is a weak net source of CO2 to the atmosphere of 1.2 (1.1, 1.4) mol m-2 yr-1 (best estimate and 95% confidence interval).  ...  Program (OCE-1536996 and OCE-1537013), NASA through Grants NNX14AM37G and NNX14AF93G, and the National Oceanic and Atmospheric Administration's Ocean Acidification Program under Award NA18OAR0170430 to  ... 
doi:10.1029/2019jc015610 pmid:32728507 pmcid:PMC7380316 fatcat:nv3aakpajbcrxlntrsot3o7tcm

Spectral optimization for constituent retrieval in Case 2 waters II: Validation study in the Chesapeake Bay

C.P. Kuchinke, H.R. Gordon, L.W. Harding, K.J. Voss
2009 Remote Sensing of Environment  
The comparisons indicate that the SOA is a viable alternative to both given models in Chesapeake Bay.  ...  In a companion paper we describe in detail the model implementation, and its accuracy and limitations when applied to the Chesapeake Bay.  ...  Acknowledgements Thanks to Mike Mallonee for assistance with in situ data collection.  ... 
doi:10.1016/j.rse.2008.11.002 fatcat:2a4l332q2vfrrnhry6u4jjgsqa

Deriving Chesapeake Bay Water Quality Standards

Peter J. Tango, Richard A. Batiuk
2013 Journal of the American Water Resources Association  
(KEY TERMS: Chesapeake Bay; water quality standards; dissolved oxygen; water clarity; chlorophyll a; water quality criteria.) Tango, Peter J. and Richard A.  ...  Achieving and maintaining the water quality conditions necessary to protect the aquatic living resources of the Chesapeake Bay and its tidal tributaries has required a foundation of quantifiable water  ...  , Modeling and Nutrient Teams, the Criteria Assessment Protocol Workgroup, and the Water Quality Goal Implementation Team.  ... 
doi:10.1111/jawr.12108 fatcat:bqxh7rshgzeqlhlz7xhvbjoqqq

Sustainable Oyster Aquaculture, Water Quality Improvement, and Ecosystem Service Value Potential in Maryland Chesapeake Bay

Matt Parker, Suzanne Bricker
2020 Journal of Shellfish Research  
RESULTS Water Quality Data Model Inputs Annual averages of monthly measures of water quality parameters at the six study sites from May 2016 to August 2018 are shown in Table 3 .  ...  This study was designed to evaluate the following: (1) differences in water quality and aquaculture practices and resultant production among study site locations to highlight the range of (potential) production  ... 
doi:10.2983/035.039.0208 fatcat:hb5v6w6hpvggbpfpskzbgcxmmm

Influence of Reservoir Infill on Coastal Deep Water Hypoxia

Lewis C. Linker, Richard A. Batiuk, Carl F. Cerco, Gary W. Shenk, Richard Tian, Ping Wang, Guido Yactayo
2016 Journal of Environmental Quality  
of the tidal water quality impairments and damage to living resources they cause.  ...  The influence on Chesapeake water quality by a large storm and scour event of January 1996 on the Susquehanna River was estimated, and the same storm and scour events were also evaluated in the more critical  ...  Bay water quality (Water Quality and Sediment Transport Model [WQSTM]) models that were applied to develop the 2010 Chesapeake Bay TMDL allocations (Cerco, 2000; Cerco et al., 2002 Cerco et al., , 2010  ... 
doi:10.2134/jeq2014.11.0461 pmid:27136155 fatcat:dbt4gyyp3fbb5az24ir3uqc474

Evaluating Confidence in the Impact of Regulatory Nutrient Reduction on Chesapeake Bay Water Quality

Isaac D. Irby, Marjorie A. M. Friedrichs
2018 Estuaries and Coasts  
general impact of nutrient reduction on Chesapeake Bay water quality under current environmental conditions.  ...  In an effort to curb these impacts and restore water quality in the Chesapeake Bay, a maximum load of nutrients has been established based on a framework of regulatory standards and models.  ...  Model output and guidance on TMDL methodology from the Chesapeake Bay Program were offered by G. Shenk, R. Tian, and P. Wang. Thank you to C. Hershner, G. Shenk, R. Hood, L. Linker, C. Friedrichs, A.  ... 
doi:10.1007/s12237-018-0440-5 fatcat:v4osdfw6bza65lntlvzyejysqm

Estimation Bias in Water-Quality Constituent Concentrations and Fluxes: A Synthesis for Chesapeake Bay Rivers and Streams

Qian Zhang, Joel D. Blomquist, Douglas L. Moyer, Jeffrey G. Chanat
2019 Frontiers in Ecology and Evolution  
Flux quantification for riverine water-quality constituents has been an active area of research. Statistical approaches are often employed to make estimation for days without observations.  ...  While WRTDS has been used in many investigations, there is a general lack of effort to identify factors that influence its estimation bias.  ...  To limit the scope of the work, we focused on evaluating WRTDS models recently published for the 100+ stations in the Chesapeake Bay Nontidal Water-Quality Monitoring Network (Moyer et al., 2017) .  ... 
doi:10.3389/fevo.2019.00109 fatcat:thyb4wdtbjafzc3cixcc2xv33a

Chesapeake Bay Eutrophication

Donald F. Boesch, Russell B. Brinsfield, Robert E. Magnien
2001 Journal of Environmental Quality  
Its economic and social im-Chesapeake Bay has been the subject of intensive research on portance to the region and its proximity to the nation's cultural eutrophication and extensive efforts to reduce  ...  Strong public support and political comthe last quarter of the century that it came to be apprecimitment have allowed the Chesapeake Bay Program to reduce nutrient inputs, particularly from point sources  ...  Chesapeake Bay eutrophication model. p. 363-404. main many challenges for science to refine strategic In J.E. Hobbie (ed.) Estuarine science: A synthetic approach to research and practice.  ... 
doi:10.2134/jeq2001.302303x pmid:11285890 fatcat:j26udw47mbcxrnkhr5a5pj72p4

Water Quality Trading in the Chesapeake Bay

Rena I. Steinzor, Nicholas W. Vidargas, Shana Campbell Jones, Yee Huang
2012 Social Science Research Network  
Proponents of water quality trading describe it as a silver bullet solution to the severe nutrient pollution that plagues the Chesapeake Bay. At least in theory, trading has two advantages.  ...  Because the agricultural sector generates roughly 44 percent of the nitrogen and phosphorus that enters the Bay, 1 controlling discharges from agriculture is a critical component of any rigorous Bay restoration  ...  The Bay states are not the first to deploy a water quality trading regime and would benefit from a careful study of the lessons from other states that have experimented with such initiatives.  ... 
doi:10.2139/ssrn.2082518 fatcat:codh2qyxjjdchkt223o36s52e4

Evaluation of Phosphorus Site Assessment Tools: Lessons from the USA

Andrew Sharpley, Peter Kleinman, Claire Baffaut, Doug Beegle, Carl Bolster, Amy Collick, Zachary Easton, John Lory, Nathan Nelson, Deanna Osmond, David Radcliffe, Tamie Veith (+1 others)
2017 Journal of Environmental Quality  
Thus, a multiregional effort (Chesapeake Bay, Heartland, and Southern States) was undertaken to evaluate P Indices using a combination of limited field data, as well as output from simulation models (i.e  ...  Each P site assessment tool was developed to be applicable across a range of field conditions found in a given geographic area, making evaluation extremely difficult.  ...  Acknowledgments This research was supported by four USDA-NRCS Conservation Innovation Grants to assess the accuracy of P Indices to determine the risk of P runoff, to identify shortcomings, and to provide  ... 
doi:10.2134/jeq2016.11.0427 pmid:29293829 fatcat:4jurc7no3bhx5edeas6pplfffe

Lag Time in Water Quality Response to Best Management Practices: A Review

Donald W. Meals, Steven A. Dressing, Thomas E. Davenport
2010 Journal of Environmental Quality  
Approaches to deal with the inevitable lag between implementation of management practices and water quality response lie in appropriately characterizing the watershed, considering lag time in selection  ...  Groundwater travel time is also an important contributor to lag time and may introduce a lag of decades between changes in agricultural practices and improvement in water quality.  ...  In addition to that, when projects include targeted BMP monitoring to document interim water quality improvements, recognition of lag time may require an adjustment of the approach to targeting the management  ... 
doi:10.2134/jeq2009.0108 pmid:20048296 fatcat:ef6o4u2oyrb7hh7tchcka7rpta

Relationship between Land Use and Water Quality and its Assessment Using Hyperspectral Remote Sensing in Mid- Atlantic Estuaries [chapter]

Gulnihal Ozbay, Chunlei Fan, Zhiming Yang
2017 Water Quality  
Eutrophication within the Bays has degraded water quality conditions advanced by sedimentation.  ...  Understanding the quality of the water in any aquatic ecosystem is a critical first step in order to identify characteristics of that ecosystem and draw conclusions about how well adapted the system is  ...  Case studies provided in this chapter are funded in the following order:  ... 
doi:10.5772/66620 fatcat:hgyxals5i5epvd6mxox2xq666i

A machine‐learning‐based model for water quality in coastal waters, taking dissolved oxygen and hypoxia in Chesapeake Bay as an example

Xin Yu, Jian Shen, Jiabi Du
2020 Water Resources Research  
A data-driven model for coastal water quality is proposed in this study and is applied to predict the temporal-spatial variations of dissolved oxygen (DO) and hypoxic condition in Chesapeake Bay, the largest  ...  Different from previous empirical models, the approach is able to simulate three-dimensional variations of water quality variables and it does not use in situ measured water quality variables but only  ...  Acknowledgments We want to thank the three anonymous reviewers for their valuable and helpful comments.  ... 
doi:10.1029/2020wr027227 fatcat:qmenglvkmrft7jwvm6bnanl4jy

Long-term trends, current status, and transitions of water quality in Chesapeake Bay

Lawrence W. Harding, Michael E. Mallonee, Elgin S. Perry, W. David Miller, Jason E. Adolf, Charles L. Gallegos, Hans W. Paerl
2019 Scientific Reports  
Here, we extend these analyses at a finer temporal scale to six decades of chl-a, Secchi depth, and nitrite plus nitrate (NO2 + NO3) data to support trend analyses and the development of numerical water-quality  ...  In this paper, we present new analyses of long-term data for Chesapeake Bay directed at several goals: (1) to distinguish trends from spatio-temporal variability imposed by climatic effects; (2) to assess  ...  Acknowledgements Thanks to the Chesapeake Bay Program of the U.S.  ... 
doi:10.1038/s41598-019-43036-6 pmid:31040300 pmcid:PMC6491606 fatcat:ctp4bkqteney7hphwc22jpizuu
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