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Showing 1 to 20 of 34 for “"process-based model"”.

  1. Compartmental Process-based Model for Estimating Ammonia Emission from Stored Scraped Liquid Dairy Manure

    The biogeochemical processes responsible for production and emission of ammonia from stored liquid dairy manure are governed by environmental factors (e.g. manure temperature, moisture) and manure characteristics (e.g. total ammoniacal nitrogen concentration, pH). These environmental factors and …

    vt Repository record for Compartmental Process-based Model for Estimating Ammonia Emission from Stored Scraped Liquid Dairy Manure (opens in a new tab)

  2. Assessing the Robustness of Deep Learning Streamflow Models Under Climate Change

    … understood. We explore the robustness of these models under climate nonstationarity by creating train and test data splits thatare designed to simulate climate bias. By training on forcing data from hydrological years of high (low) aridity and testing on data from hydrological years of low …

    alabama Repository record for Assessing the Robustness of Deep Learning Streamflow Models Under Climate Change (opens in a new tab)

  3. Investigating the Impact of Climate and Extreme Weather on Greenhouse Gas Emissions from Irish Soils: An Evaluation of the ECOSSE Model

    … surface on the planet is unrealistic, therefore modelling emissions is the next best method of emissions assessment. Among modelling approaches, process-based modelling allows for the highest specificity of input data. Process-based models split soil carbon into pools with different decay rates …

    maynooth Repository record for Investigating the Impact of Climate and Extreme Weather on Greenhouse Gas Emissions from Irish Soils: An Evaluation of the ECOSSE Model (opens in a new tab)

  4. A Quantitative and Spatial Model of Escalation

    … focuses on why escalation may occur, the process by which it occurs is largely unexplored. Finally, the literature largely fails to explore the potential relationship between misperception in international politics and escalation. This paper remedies these omissions in the literature by …

    creighton Repository record for A Quantitative and Spatial Model of Escalation (opens in a new tab)

  5. Evaluating a Process-Based Mitigation Wetland Water Budget Model

    … Pierce method is a commonly used technique for modeling and designing mitigation wetlands that assumes minimal groundwater interaction with the wetland. This technique for mitigation wetland design relies primarily on surface water inputs, assuming a relatively impermeable substrate (perched …

    vt Repository record for Evaluating a Process-Based Mitigation Wetland Water Budget Model (opens in a new tab)

  6. Understanding and predicting the response of reservoir zooplankton communities and water quality to climate change

    … due to climate change, I used field, laboratory, modeling, and forecasting approaches. First, I assessed zooplankton community structure and migration across five 24-hour field sampling campaigns that spanned three years in a eutrophic, temperate reservoir. Specifically, I intensively sampled …

    vt Repository record for Understanding and predicting the response of reservoir zooplankton communities and water quality to climate change (opens in a new tab)

  7. An analysis of influential methodological practices in consumption-based accounting methods

    … practices affecting carbon accounting models and to assess the use of the system boundary. Models currently available are either input-output based, (using macro-economic analysis), process-based, (using specific carbon emissions attributes through a life-cycle), or a hybrid of the two. …

    lancaster Repository record for An analysis of influential methodological practices in consumption-based accounting methods (opens in a new tab)

  8. An analysis of system boundaries in hybrid carbon accounting methods

    … practices affecting carbon accounting models and to assess the use of system boundary. Models currently available are either input-output based, (using macro-economic analysis), process-based, (using specific carbon emissions attributes through a life-cycle), or a hybrid of the two. A …

    lancaster

  9. Demographic processes determining the range dynamics of plant species, and their consequences for biodiversity maintenance in the face of environmental change

    The present thesis aims to introduce process-based model for species range dynamics that can be fitted to abundance data. For this purpose, the well-studied Proteaceae species of the South African Cape Floristic Region (CFR) offer a great data set to fit process-based models. These species are …

    potsdam-diss Repository record for Demographic processes determining the range dynamics of plant species, and their consequences for biodiversity maintenance in the face of environmental change (opens in a new tab)

  10. Global development, acoustic and emissive consequences of hydropower

    … requires a greater understanding of the processes and mechanisms which underpin the ecohydrological impacts of hydropower. In this context, this doctoral thesis aims to investigate: (i), the ramifications of a global boom in hydropower construction, (ii) the prediction of GHG emissions …

    trento Repository record for Global development, acoustic and emissive consequences of hydropower (opens in a new tab)

  11. Riparian willow dynamics and their interaction with environmental and biological factors in the elk winter range of Rocky Mountain National Park (Colorado) - a multi-scale analysis

    … these studies were incorporated into a spatial, process based model (SAVANNA). Morphological and physiological characteristic of willows protected and unprotected from elk browsing were compared. Browsing induced plant canopy changes and reduced the relative amount of carbon allocated …

    colostate Repository record for Riparian willow dynamics and their interaction with environmental and biological factors in the elk winter range of Rocky Mountain National Park (Colorado) - a multi-scale analysis (opens in a new tab)

  12. Predictive Modeling of Organic Pollutant Leaching and Transport Behavior at the Lysimeter and Field Scales

    … these issues, protection of groundwater must be based on the quantification of potential threats to pollution at the subsurface which is often inaccessible. Risk assessment of groundwater pollution may however be strongly supported by applying process-based simulation models, which turn out to be …

    qucosa-diss

  13. Modeling canopy structure effects on loblolly pine growth

    … were explored as possible components of a future process-based model intended for management purposes. A model based on the Johnson’s SB distribution was developed to predict leaf area distribution of loblolly pine trees. This is a preliminary step for building a submodel capable of simulating …

    lsu-thes Repository record for Modeling canopy structure effects on loblolly pine growth (opens in a new tab)

  14. Determination of fertility rating (FR) in the 3-PG model for loblolly pine (Pinus taeda L.) plantations in the southeastern United States

    … their geographic range in the United States. The model to assess soil fertility using a phytocentric approach was constructed using the relationship between site index and aboveground productivity. Geocentric models used physical and chemical properties of the A-horizon. Soil geocentric models …

    vt Repository record for Determination of fertility rating (FR) in the 3-PG model for loblolly pine (Pinus taeda L.) plantations in the southeastern United States (opens in a new tab)

  15. Modeling lake ecosystem change within coupled human-natural systems to improve water resources management

    … is mediated by socio-cultural and economic processes, resulting in complex responses in lake ecosystems as a part of coupled natural human (CNH) systems. I used multiple approaches within a CNH framework to better understand the effects of climate and land use on freshwater-human …

    vt Repository record for Modeling lake ecosystem change within coupled human-natural systems to improve water resources management (opens in a new tab)

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

    Few current modeling tools are designed 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 …

    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)

  17. Fuel moisture and fuel dynamics in woodland and heathland vegetation of the Sydney Basin

    … components of current operational fire behaviour models were found to be inadequate for predictions of FFM and fire behaviour under these conditions. The equilibrium moisture content (EMC) of five fuel types from the field site was investigated in a laboratory study. An existing function …

    unsw Repository record for Fuel moisture and fuel dynamics in woodland and heathland vegetation of the Sydney Basin (opens in a new tab)

  18. Global and regional assessments of unsustainable groundwater use in irrigated agriculture

    … water systems. All three are addressed using a process-based model designed to simulate both natural and human-impacted water systems.</p> <p>Irrigation can significantly increase crop production. Chapter 1 combines a hydrology model (WBM) with a crop model to quantify current crop production …

    unh-thes Repository record for Global and regional assessments of unsustainable groundwater use in irrigated agriculture (opens in a new tab)

  19. The Development of a Growth Platform Model for Small to Medium Sized Knowledge Based Firms

    … the firm growth literature, by developing a new model that details the factors that influence firm growth, how these factors develop over time, how and why they influence the firm and to what level they need to be developed to in order for growth to occur. The research adds to the firm growth …

    southwales Repository record for The Development of a Growth Platform Model for Small to Medium Sized Knowledge Based Firms (opens in a new tab)

  20. Integrating Machine Learning Into Process-Based Modeling to Predict Ammonia Losses From Stored Liquid Dairy Manure

    … losses is necessary to inform decision-making processes to improve manure management, and design ammonia mitigation strategies. In 2003, the National Research Council recommended using process-based models to estimate emissions of pollutants, such as ammonia, from animal feeding operations. …

    vt Repository record for Integrating Machine Learning Into Process-Based Modeling to Predict Ammonia Losses From Stored Liquid Dairy Manure (opens in a new tab)

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