Estimating point and non-point source nutrient loads in the Saginaw Bay watersheds

He, Chansheng; Zhang, Lanhui; DeMarchi, Carlo; Croley, Thomas E.

doi:10.1016/j.jglr.2014.01.013

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…Eutrophication occurs when a waterbody is inundated with high concentrations of nutrients, such as phosphorus or nitrogen, leading to excessive growth of organisms such as algae. This can lead to massive disruptions to water quality, ecosystem stability, and the proliferation of toxic forms of algae (He, et al, 2014;Michalak et al, 2013).…”

Section: Runoff and Eutrophicationmentioning

confidence: 99%

Urban Beaver Activity Management and Qualitative Risk Assessment Using GIS

Hock

2023

Preprint

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<p>Extreme weather events are expected to increase the burden on urban stormwater infrastructure as the climate continues to change. Beavers (castor canadensis) are well known for their engineering prowess and ability to rapidly naturalize degraded urban streams. This has a multitude of benefits including stormwater retention, groundwater recharge, ecological restoration, and erosion reductions; however, beavers and stormwater managers frequently clash through the clogging of stormwater outlets and the destruction of beaver dams. Beavers are routinely trapped, and their dams destroyed, only to have new beavers re-colonize the area in an endless, costly cycle. This project demonstrates a GIS-based method to predict where beaver activity may be an issue in a stormwater network using land cover to identify ideal beaver habitat at chokepoints in a stormwater network. Areas where roads cross streams in the Fletcher’s Creek watershed in Brampton, Ontario were ranked based on the amount of land cover nearby that could increase the likelihood of beaver habitation and associated blocking of sensitive stormwater infrastructure such as culverts at stream-street crossings. This ranking could theoretically allow stormwater managers to prioritize monitoring. If this method is tested and verified in the field it could prove useful for stormwater infrastructure planners by allowing them to invest in cost-effective beaver deterrents at key locations before a human-beaver conflict arises, potentially reducing costs for maintenance activities and allowing beavers to continue provide their natural stormwater management services.</p>

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Section: Runoff and Eutrophicationmentioning

confidence: 99%

Urban Beaver Activity Management and Qualitative Risk Assessment Using GIS

Hock

2023

Preprint

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“…With the aid of distributed processes simulated by numerical models, the spatial and temporal characteristics of urban non-point source pollution can be analyzed [30,31]. It is of great help to calculate the current situation of urban non-point source pollution, and provide suggestions for the control of urban non-point source pollution [32][33][34][35]. As a semi-distributed continuous simulation model, SWMM has shown great advantages in simulating storm runoff response and non-point source pollution in urban areas [36,37].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations of Non-Point Source Pollution in a Small Urban Catchment: Identification of Pollution Risk Areas and Effectiveness of Source-Control Measures

Pan

Guo

Yang

et al. 2021

Water

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Urban non-point source pollution is becoming a serious issue under the context of rapid urbanization and its impacts on surface hydrologic processes. The identification of non-point source risk areas and the effectiveness of source-control measures provides important first steps to improve the degrading aquatic environment but is challenged by the complex dynamics and variabilities of surface pollutants in urban environments. In this study, we investigate the spatial and temporal variabilities of non-point source pollution in a small urban catchment based on numerical simulations and in-situ samplings. Our results show that residential, industrial, and commercial land contribute to the most pollutant loadings and are the main constituents of the pollution risk area. Rainfall duration and intensity are the main factors in determining the temporal variations of urban non-point source pollution. There is no correlation between early drought days and pollution load. Numerical simulations show that it is more effective to increase urban vegetation coverage than to enhance road cleaning for effective non-surface pollution control. For enhanced road cleaning, it is more effective to improve the frequency of road cleaning than its efficiency. Our results provide important guidance for effective controls of non-point source pollution as well as the establishment of long-term surface pollutant monitoring network in complex urban environments.

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“…These improvements in municipal wastewater treatment likely limit the impact of reductions in urban runoff which were hypothesized to cause some of the water quality improvements in India and Morocco. However, since the passage of the GLWQA, non-point source contributions of nutrients, including from agricultural runoff and residential septic systems, have become a major driver of water quality in several parts of the Great Lakes including the western basin of Lake Erie (WBLE) and Saginaw Bay in Lake Huron (SBLH) (He et al, 2014;Selzer et al, 2014;Stow et al, 2015). It has been estimated that 10-25% of Michigan's million-plus on-site wastewater treatment (or septic) systems are in some level of failure (Michigan Office of the Great Lakes [OGL], 2016; Public Sector Consultants [PSC], 2018).…”

Section: Introductionmentioning

confidence: 99%

Measuring the Impact of the COVID-19 Shutdown on Great Lakes Water Quality Using Remote Sensing

et al. 2021

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The states of Michigan and Ohio issued shutdown orders in mid-March 2020 in an attempt to slow the spread of the coronavirus (COVID-19), resulting in widespread disruption to economic and human activity. This study, which was commissioned by NASA headquarters, utilized satellite remote sensing data from the Visible Infrared Imaging Radiometer Suite sensor onboard the Suomi National Polar-orbiting Partnership satellite to investigate whether these changes in activity led to any short-term changes in water quality in the Great Lakes region by comparing 2020 data to a historic baseline. The water quality parameters examined included chlorophyll-a (CHL) and total suspended solids (TSS) concentrations, water clarity, and harmful algal bloom (HAB) extent. These parameters were investigated in two Great Lakes basins which experience significant anthropogenic pressure: the western basin of Lake Erie (WBLE) and Saginaw Bay in Lake Huron (SBLH). TSS concentrations in April 2020 were below the historic baseline in both basins, and largely remained low until September. SBLH also experienced elevated CHL concentrations in April which persisted through the summer. Additionally, the WBLE HAB extent was down in 2020 after an early end to the growing season. However, this investigation found that the COVID-19 shutdowns were likely not a direct driver of these short-term anomalies. Instead, recent trends in the indicators and co-occurring anomalies in hydrological and meteorological conditions (e.g., lake temperature, river discharge, and wind speed) appeared to be more responsible for the detected water quality changes. Future work will investigate whether the shutdowns have a long-term or delayed impact on Great Lakes water quality.

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Estimating point and non-point source nutrient loads in the Saginaw Bay watersheds

Cited by 9 publications

References 16 publications

Urban Beaver Activity Management and Qualitative Risk Assessment Using GIS

Urban Beaver Activity Management and Qualitative Risk Assessment Using GIS

Numerical Simulations of Non-Point Source Pollution in a Small Urban Catchment: Identification of Pollution Risk Areas and Effectiveness of Source-Control Measures

Measuring the Impact of the COVID-19 Shutdown on Great Lakes Water Quality Using Remote Sensing

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