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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (2) OGC WMS Layer (2) OGC WMS Service (2) Contacts Elena R Crowley-Ornelas Lower Mississippi-Gulf Water Science Center U.S. Geological Survey Victor L Roland U.S. Geological Survey - ScienceBase Lower Mississippi-Gulf Water Science Center Gulf Coast Ecosystem Restoration Council (RESTORE) Categories Data (2) Tag Types Place (16) Tags (with Scheme=Geographic names) alabama (2) florida (2) gulf coast (2) louisiana (2) mississippi (2) southeast (2) texas (2) united states (2) View Results as: JSON ATOM CSV

Assessment of hydrologic alteration at 12-digit hydrologic unit code (HUC12) pour points in the southeastern United States, 1950 - 2009 Two methods of calculating hydrologic alteration were applied to modeled daily streamflow data for 9,201 12-digit hydrologic unit code (HUC12) pour points draining to the Gulf of Mexico (Robinson and others, 2020). The first method is a new modified method of calculating ecosurplus and ecodeficit called hydro change. For this project, ecosurplus and ecodeficit have been combined to assess overall hydrologic regime change. The second method is the confidence interval hypothesis test (Kroll and others, 2015). The first method is a means of quantifying hydrologic alteration while the second is a hypothesis test to simply determine if statistically significant alteration has occurred. Both methods are employed to determine... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Florida, Gulf Coast, Louisiana, Mississippi, All tags... RESTORE, Texas, USGS Science Data Catalog (SDC), United States, environmental flow, reference hydrology, southeast, streamflow, streamflow alteration, trend analysis, Fewer tags Supporting data and model outputs for hydrologic alteration modeling in the Pearl and Pascagoula river basins Anthropogenic hydrologic alteration threatens the health of riverine ecosystems. This study assesses hydrologic alteration in the Pearl and Pascagoula river basins using modeled daily streamflow. Machine learning was used to identify locations that have undergone statistically significant streamflow alteration, quantify the volume of the alteration, and predict alteration using cubist models. Statistically significant alteration was determined by hypothesis testing. The pre- and post-alteration flow duration curves were used to calculate the net change across 60 years. Cubist models were developed for both basins to predict hydrologic alteration and to identify important basin characteristics. This data release... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Florida, Gulf Coast, Hydrology, Louisiana, All tags... Mississippi, RESTORE, Texas, USGS Science Data Catalog (SDC), United States, Water Resources, cubist, hydrologic alteration, machine learning, model tree, southeast, streamflow, streamflow alteration, Fewer tags