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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Gregory E Granato Brian W Miller U.S. Geological Survey U.S. Geological Survey - ScienceBase New England Water Science Center More... Tag Types Theme (4) Tags (with Scheme=ISO 19115 Topic Category) biota (1) environment (1) inlandwaters (1) transportation (1) View Results as: JSON ATOM CSV

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater... Categories: Software; 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, Land Use Change, SELDM, Software, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, Water Resources, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Coupled Agent-Based and State-and-Transition Simulation Model Agent-based models (ABMs) and state-and-transition simulation models (STSMs) have proven useful for understanding processes underlying social-ecological systems and evaluating practical questions about how systems might respond to different scenarios. ABMs can simulate a variety of agents (i.e., autonomous units, such as wildlife, people, or viruses); agent characteristics, decision-making, adaptive behavior, and mobility; and interactions between agents and their environment. STSMs are flexible and intuitive stochastic models of landscape dynamics that can track scenarios and landscape attributes, and integrate diverse data types. Both can be run spatially and track metrics of management success. Due to the complementarity... Categories: Software; Tags: Badlands National Park, USGS Science Data Catalog (SDC), Wildlife Biology, analytical modeling, biota, All tags... modeling, natural resource management, Fewer tags