In:
Earth System Science Data, Copernicus GmbH, Vol. 14, No. 2 ( 2022-02-24), p. 929-942
Abstract:
Abstract. Bed-material sediment particle size data, particularly the median sediment particle size (D50), are critical for understanding and modeling
riverine sediment transport. However, sediment particle size observations are primarily available at individual sites. Large-scale modeling and
assessment of riverine sediment transport are limited by the lack of continuous regional maps of bed-material sediment particle size. We hence
present a map of D50 over the contiguous US in a vector format that corresponds to approximately 2.7 million river segments (i.e., flowlines) in the
National Hydrography Dataset Plus (NHDPlus) dataset. We develop the map in four steps: (1) collect and process the observed D50 data from 2577
U.S. Geological Survey stations or U.S. Army Corps of Engineers sampling locations; (2) collocate these data with the NHDPlus flowlines based on
their geographic locations, resulting in 1691 flowlines with collocated D50 values; (3) develop a predictive model using the eXtreme Gradient
Boosting (XGBoost) machine learning method based on the observed D50 data and the corresponding climate, hydrology, geology, and other attributes
retrieved from the NHDPlus dataset; and (4) estimate the D50 values for flowlines without observations using the XGBoost predictive model. We expect
this map to be useful for various purposes, such as research in large-scale river sediment transport using model- and data-driven approaches,
teaching environmental and earth system sciences, planning and managing floodplain zones, etc. The map is available at https://doi.org/10.5281/zenodo.4921987
(Li et al., 2021a).
Type of Medium:
Online Resource
ISSN:
1866-3516
DOI:
10.5194/essd-14-929-2022
DOI:
10.5194/essd-14-929-2022-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2022
detail.hit.zdb_id:
2475469-9
