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Report and Publications: Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC Final Report - Executive Summary: This final project report is prepared to summarize the research project titled “Assessing evapotranspiration rate changes for proposed restoration of the forested uplands of the Desert Landscape Conservation Cooperatives (LCC)” for the Desert LCC of the Bureau of Reclamation as a requirement for closing out the project. This report includes the scope of work, summary of research project, results, and conclusions.Among all of the components of the terrestrial water cycle, evapotranspiration (ET) consumes the largest amount of water. Accurate estimation of ET is very important to understand the influence of ET to the hydrologic response of recharge and runoff processes in the water... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, ATMOSPHERE, ATMOSPHERE, ATMOSPHERIC WATER VAPOR, ATMOSPHERIC WATER VAPOR, All tags... AZ-01, Applications and Tools, Arizona, Datasets/Database, EARTH SCIENCE, EARTH SCIENCE, EVAPOTRANSPIRATION, EVAPOTRANSPIRATION, Federal resource managers, LCC Network Science Catalog, Northern Arizona, Publication, Publication, Publication, Report, United States, WATER VAPOR PROCESSES, WATER VAPOR PROCESSES, adaptation, best management practice (BMP), biota, climate change, completed, drought, ecosystem services, fire, forest, groundwater, hydrology, land cover, management, model, native, plant, product, remote sensing, resilience, restoration, snow, soil, topography, vegetation, water availability, water budget, watershed, Fewer tags Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Ecology, Environmental Health, Event Mean Concentration, Federal Highway Administration, All tags... Hydrology, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC Accurate estimation of evapotranspiration (ET) is essential for assessments of water balance and hydrologic responses to forest restoration treatments in uplands adjacent to the Desert LCC. As part of the Four Forests Restoration Initiative, a new paired watershed study is being planned to assess the hydrologic effects of mechanically thinning and restoring a more frequent fire regime to the ponderosa pine forests of Arizona. Water and energy balances will be measured and modeled in these paired watersheds to help inform and better plan for the hydrologic responses of future forest restoration actions. Researchers at Northern Arizona University have collected six years of eddy covariance measurements of ET in the... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, ATMOSPHERE, ATMOSPHERE, ATMOSPHERIC WATER VAPOR, ATMOSPHERIC WATER VAPOR, All tags... AZ-01, Applications and Tools, Arizona, Data Acquisition and Development, Data Management and Integration, Datasets/Database, Desert Landscape Conservation Cooperative, EARTH SCIENCE, EARTH SCIENCE, EVAPOTRANSPIRATION, EVAPOTRANSPIRATION, Federal resource managers, Informing Conservation Delivery, LCC, LCC Network Science Catalog, Northern Arizona, Project, Publication, United States, WATER VAPOR PROCESSES, WATER VAPOR PROCESSES, adaptation, best management practice (BMP), biota, climate change, completed, drought, ecosystem services, fire, forest, groundwater, hydrology, land cover, management, model, native, plant, remote sensing, resilience, restoration, snow, soil, topography, vegetation, water availability, water budget, watershed, Fewer tags Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Blue Ridge, Coastal Plain, Event Mean Concentration, Federal Highway Administration, All tags... Highway runoff, Highway-Runoff Database, Hydrology, North Carolina, Piedmont, Runoff, SELDM, State Highway, Stochastic Empirical Loading and Dilution Model, Stormwater, Streamflow, USGS Science Data Catalog (SDC), United States, Urban Runoff, Water Quality, Water Quality, Water Resources, Water Resources, chemical constituents, environment, highways and roads, physical constituents, stormwater, transportation, Fewer tags