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Full-Text Articles in Physical Sciences and Mathematics
Recurrence Interval Estimates For The July 2022 Eastern Kentucky Floods, North Fork Of The Kentucky River, William C. Haneberg
Recurrence Interval Estimates For The July 2022 Eastern Kentucky Floods, North Fork Of The Kentucky River, William C. Haneberg
Open File Reports--KGS
July 2022 flood recurrence interval calculations for three gages along the North Fork of the Kentucky River—Whitesburg, Hazard, and Jackson, Kentucky—based upon both empirical distributions and theoretical log-Pearson Type III distributions yield a range of results from 851 years for the Whitesburg gage near the headwaters of the North Fork to about 2 years for the Hazard gage to 94 years for the Jackson gage. While the log-Pearson Type III approach worked well for the Whitesburg and Hazard gages, it produced an unrealistically low estimate for the Jackson gage because the empirical and theoretical curves diverge significantly for large floods …
Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson
Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson
Civil Engineering Research Data
These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included.
Spatiotemporal Retrievals Of Soil Moisture And Geomorphologic Data For Landslide Sites In Eastern Kentucky, Lindsey Sebastian Bryson, Daniel M. Francis
Spatiotemporal Retrievals Of Soil Moisture And Geomorphologic Data For Landslide Sites In Eastern Kentucky, Lindsey Sebastian Bryson, Daniel M. Francis
Civil Engineering Research Data
These data are the soil texture, land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates, artificial neural network machine learning code, and in-situ soil moisture measurements.