scholarly journals Institutional Contexts and Policy Discourses: A Case of Water Quality Governance in Lake Erie Basin

2021 ◽  
Vol 15 (1) ◽  
pp. 63-81
Author(s):  
Bereket Isaac ◽  
Rob C. de Loë
Keyword(s):  
Water Quality ◽  
Lake Erie ◽  
Institutional Contexts ◽  
Policy Discourses

scholarly journals Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing

2019 ◽  
Vol 45 (3) ◽  
pp. 490-507 ◽  
Author(s):  
Michael J. Sayers ◽  
Karl R. Bosse ◽  
Robert A. Shuchman ◽  
Steven A. Ruberg ◽  
Gary L. Fahnenstiel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Optical Properties ◽  
Temporal Variability ◽  
Lake Erie ◽  
Spatial And Temporal Variability ◽  
Western Lake ◽  
Western Lake Erie

Application of a 3D hydrodynamic–biological model for seasonal and spatial dynamics of water quality and phytoplankton in Lake Erie

2011 ◽  
Vol 37 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Luis F. Leon ◽  
Ralph E.H. Smith ◽  
Matthew R. Hipsey ◽  
Serghei A. Bocaniov ◽  
Scott N. Higgins ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Erie ◽  
Spatial Dynamics ◽  
Biological Model

Weather, Landscape, and Management Effects on Nitrate and Soluble Phosphorus Concentrations in Subsurface Drainage in the Western Lake Erie Basin

2018 ◽  
Vol 61 (1) ◽  
pp. 223-232 ◽  
Author(s):  
Lindsay A. Pease ◽  
Norman R. Fausey ◽  
Jay F. Martin ◽  
Larry C. Brown
Keyword(s):  
Water Quality ◽  
Lake Erie ◽  
Subsurface Drainage ◽  
Quality Data ◽  
P Loss ◽  
Western Lake ◽  
Soluble Phosphorus ◽  
Management Factors ◽  
Soluble P ◽  
Western Lake Erie

Abstract. Subsurface drainage, while an important and necessary agricultural production practice in the Midwest, contributes nitrate (NO3-N) and soluble phosphorus (P) to surface waters. Eutrophication (i.e., excessive enrichment of surface water by NO3-N and soluble P) supports harmful algal blooms in receiving waters. The magnitude of NO3-N and soluble P loss in subsurface drainage varies greatly by landscape, weather, and field management factors. This study evaluated both the relative and combined impacts of these factors on observed NO3-N and soluble P concentrations in subsurface drainage water in the Western Lake Erie Basin watershed. Water quality data from multiple drainage outlet sites in northwest Ohio provided evidence that the primary management factors affecting NO3-N and soluble P loss were the amount and time of fertilizer application. Results strongly support following Tri-State fertilizer recommendations and 4R nutrient stewardship principles to reduce the risk of NO3-N and soluble P loss. Results also provided evidence of NO3-N and soluble P transport to subsurface drains via different pathways. Due to differences in NO3-N and soluble P transport through the soil profile (via baseflow and preferential flow, respectively), management approaches taken to reduce one nutrient may exacerbate losses of the other. Further research is needed to address potential changes in field hydrology (and consequently the in-field transport of soluble nutrients) from different types of agricultural best management practices (BMPs) and to evaluate optimal stacking of BMPs to achieve reductions in both NO3-N and soluble P loss. Controlled drainage has a high potential for stacking with other BMPs because it is primarily a physical discharge and load reduction practice. Keywords: Agriculture, Eutrophication, Nutrient transport, Regression analysis, Water quality.

scholarly journals Water Quality Properties Derived from VIIRS Measurements in the Great Lakes

2020 ◽  
Vol 12 (10) ◽  
pp. 1605
Author(s):  
Seunghyun Son ◽  
Menghua Wang
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Lake Erie ◽  
Infrared Imaging ◽  
Seasonal Pattern ◽  
Secchi Depth ◽  
Phytoplankton Production ◽  
Quality Properties ◽  
Chl A ◽  
Freshwater Inputs

Refined empirical algorithms for chlorophyll-a (Chl-a) concentration, using the maximum ratio of normalized water-leaving radiance nLw(λ) at the blue and green bands, and Secchi depth (SD) from nLw(λ) at 551 nm, nLw(551), are proposed for the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite in the Great Lakes. We demonstrated that water quality properties and phytoplankton production can be successfully monitored and assessed using the new regional Chl-a and SD algorithms, with reasonably accurate estimates of Chl-a and SD from the VIIRS-SNPP ocean color data in the Great Lakes. VIIRS-derived Chl-a and SD products using the proposed algorithms provide the temporal and spatial variabilities in the Great Lakes. Overall, Chl-a concentrations are generally low in lakes Michigan and Huron, while Chl-a data are highest in Lake Erie. The seasonal pattern shows that overall low Chl-a concentrations appear in winter and high values in June to September in the lakes. The distribution of SD in the Great Lakes is spatially and temporally different from that of Chl-a. The SD data are generally lower in summer and higher in winter in most of the Great Lakes. However, the highest SD in Lake Erie appears in summer, and lower values in winter. Significantly high values in Chl-a, and lower values in SD, in the nearshore regions, such as Thunder Bay, Saginaw Bay, and Whitefish Bay, can be related to the very shallow bathymetry and freshwater inputs from the land. The time series of VIIRS-derived Chl-a and SD data provide strong interannual variability in most of the Great Lakes.

A Post-Audit Anaylsis of the NWRI Nine-Box Water Quality Model for Lake Erie

1987 ◽  
Vol 13 (4) ◽  
pp. 782-800 ◽  
Author(s):  
D.C.L. Lam ◽  
W.M. Schertzer ◽  
A.S. Fraser
Keyword(s):  
Water Quality ◽  
Lake Erie ◽  
Water Quality Model ◽  
Quality Model
Sign in / Sign up

Export Citation Format

Share Document