Using remote sensing to identify liquid manure applications in eastern North Carolina

Shea, Kelly; Schaffer‐Smith, Danica; Muenich, Rebecca Logsdon

doi:10.1016/j.jenvman.2022.115334

Cited by 13 publications

(7 citation statements)

References 83 publications

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“…Similarly, additional nutrient sources could be incorporated in the future, including septic tanks and biosolids application areas that are not well documented in public datasets. Finally, there is limited knowledge of the specific location, and timing of land management activities including applications of fertilizer and manure (Rosov et al., 2020; Shea et al., 2022), which vary not only spatially but also year‐to‐year, given changing constraints and incentives for individual operators, as well as social and psychological factors (O’Connell & Osmond, 2022).…”

Section: Discussionmentioning

confidence: 99%

Landscape Pollution Source Dynamics Highlight Priority Locations for Basin‐Scale Interventions to Protect Water Quality Under Hydroclimatic Variability

Schaffer‐Smith,

DeMeester,

Tong

et al. 2023

Earth's Future

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Extreme weather is associated with a variety of water quality issues that can pose harm to humans and aquatic ecosystems. Under dry conditions, contaminants become concentrated in streams with a greater potential for harmful algal blooms, while wet conditions can cause flooding and broadcast pollution. Developing interventions to improve water quality in a changing climate requires a better understanding of how hydroclimatic variability affects watershed processes, and which places are most vulnerable. We developed a Soil and Water Assessment Tool model of the Cape Fear River Basin (CFRB) in North Carolina, USA, representing contemporary land use, point and non‐point sources, and weather conditions from 1979 to 2019. The CFRB is a large, complex river basin undergoing urbanization and agricultural intensification, with a history of droughts and floods. To identify intervention priorities, we developed a Water Quality Risk Index (WQRI) using the average and variability of contaminant loads across dry, normal and wet conditions. The landscape generally contributed the majority of pollutants (e.g., via erosion, fertilizer and manure applications), including 90.1% of sediment, 83.2% of total nitrogen, and 52.4% of total phosphorus at the City of Wilmington's drinking water intake, yet point sources were influential during dry periods. Approximately 16% of the watershed contributed most of the pollutants across conditions—these represent priority locations for interventions such as restoration, urban, or agricultural best management practices. The WQRI approach considering risks to water quality across conditions can help identify locations where interventions are more likely to improve water quality under climate change.

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Section: Discussionmentioning

confidence: 99%

Landscape Pollution Source Dynamics Highlight Priority Locations for Basin‐Scale Interventions to Protect Water Quality Under Hydroclimatic Variability

Schaffer‐Smith,

DeMeester,

Tong

et al. 2023

Earth's Future

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“…Spray fields are typically located in close proximity to animal houses and manure lagoons due to the high cost of hauling the liquid [9][10][11][12][13]. Positions of livestock farms and biodigester (main manure storage points in Po Plain) were identified using information on the characteristics of farms and biodigesters in the Emilia-Romagna region found in regional datasets [14].…”

Section: Variable 3: Distance From Farms And/or Bio-digestersmentioning

confidence: 99%

A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework

Tornato,

Ricolfi,

Pirola

et al. 2023

Iecag 2023

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“…[83][84][85] A recent study within the basin indicates that most liquid manure is likely applied very close to the point of generation, mostly within 1 km. 86 We also assumed that poultry litter could be applied on land within 5 miles of a poultry CAFO location.…”

Section: Manure Nutrient Compositionmentioning

confidence: 99%

Landscape pollution source dynamics highlight priority locations for basin-scale interventions to protect water quality under extreme events

Schaffer‐Smith¹,

DeMeester²,

Tong

et al. 2022

Preprint

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Extreme weather conditions are associated with a variety of water quality issues that can pose harm to humans and aquatic ecosystems. Under dry extremes, contaminants become more concentrated in streams with a greater potential for harmful algal blooms, while wet extremes can cause flooding and broadcast pollution. Developing appropriate interventions to improve water quality in a changing climate requires a better understanding of how extremes affect watershed processes, and which places are most vulnerable. We developed a Soil and Water Assessment Tool model of the Cape Fear River Basin (CFRB) in North Carolina, USA, representing contemporary land use, point and non-point sources, and weather conditions from 1979 to 2019. The CFRB is a large and complex river basin undergoing urbanization and agricultural intensification, with a history of extreme droughts and floods, making it an excellent case study. To identify intervention priorities, we developed a Water Quality Risk Index (WQRI) using the load average and load variability across normal conditions, dry extremes, and wet extremes. We found that the landscape generated the majority of contaminants, including 90.1% of sediment, 85.4% of total nitrogen, and 52.6% of total phosphorus at the City of Wilmington's drinking water intake. Approximately 16% of the watershed contributed most of the pollutants across conditions-these represent high priority locations for interventions. The WQRI approach considering risks to water quality across different weather conditions can help identify locations where interventions are more likely to improve water quality under climate change.

show abstract

Using remote sensing to identify liquid manure applications in eastern North Carolina

Cited by 13 publications

References 83 publications

Landscape Pollution Source Dynamics Highlight Priority Locations for Basin‐Scale Interventions to Protect Water Quality Under Hydroclimatic Variability

Landscape Pollution Source Dynamics Highlight Priority Locations for Basin‐Scale Interventions to Protect Water Quality Under Hydroclimatic Variability

A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework

Landscape pollution source dynamics highlight priority locations for basin-scale interventions to protect water quality under extreme events

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