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Showing 1 to 4 of 4 for “"Critical Source Areas"”.

  1. Application of multi-state financial data for use with the USDA Agricultural Conservation Planning Framework

    … geospatial data to spatially identify critical source areas for nutrient loss within agricultural watersheds and opportunities for BMPs in those locations. This research outlines an ACPF-compatible, multi-state financial dataset and a field-scale nitrogen reduction tool for use when …

    iastate Repository record for Application of multi-state financial data for use with the USDA Agricultural Conservation Planning Framework (opens in a new tab)

  2. Coupling Physical and Machine Learning Models with High Resolution Information Transfer and Rapid Update Frameworks for Environmental Applications

    … to predict short-term, high-risk runoff from critical source areas (CSAs) in watersheds which are significant sources of non point source (NPS) pollution. This study couples the Soil and Water Assessment Tool-Variable Source Area (SWAT-VSA) model with the Climate Forecast System Reanalysis …

    vt Repository record for Coupling Physical and Machine Learning Models with High Resolution Information Transfer and Rapid Update Frameworks for Environmental Applications (opens in a new tab)

  3. Quantifying the Impact of Climate Change on Water Availability and Water Quality in the Chesapeake Bay Watershed

    … impact of climate change and climate on water resources, nutrient cycling and export in agroecosystems, and agricultural conservation practices in the Chesapeake Bay watershed. This is accomplished by developing and employing a suite of modelling tools. GHG emissions from agroecosystems, …

    vt Repository record for Quantifying the Impact of Climate Change on Water Availability and Water Quality in the Chesapeake Bay Watershed (opens in a new tab)

  4. Modelling steroidal hormone transport and evaluating best management practices in New Zealand dairy farming systems

    … of estrogen transport via runoff and erosion. Critical source areas (hotspots) for estrogen and sediment loss were identified at the subbasin level. Under baseline (pre-BMP) conditions, eight subbasins were predicted to generate the highest estrogen concentrations in runoff (often >15 ng/L) and …

    waikato-masters Repository record for Modelling steroidal hormone transport and evaluating best management practices in New Zealand dairy farming systems (opens in a new tab)