Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams
August 24, 2016
This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (less than 585 square kilometers) watersheds to determine which variables are fundamentally important to the estimation of annual loads of total nitrogen. These data support the following publication: Kronholm, S.C., Capel, P.D., and Terziotti, Silvia, 2016, Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams: Environmental Modeling and Assessment, 10 p., http://dx.doi.org/10.1007/s10666-016-9525-3.
Citation Information
Publication Year | 2016 |
---|---|
Title | Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams |
DOI | 10.5066/F7TX3CGB |
Authors | Silvia Terziotti, Paul D. Capel, Scott C. Kronholm |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | New Jersey Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |
Related
Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams
Accurate estimation of total nitrogen loads is essential for evaluating conditions in the aquatic environment. Extrapolation of estimates beyond measured streams will greatly expand our understanding of total nitrogen loading to streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (
Authors
Scott C. Kronholm, Paul D. Capel, Silvia Terziotti
Related
Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams
Accurate estimation of total nitrogen loads is essential for evaluating conditions in the aquatic environment. Extrapolation of estimates beyond measured streams will greatly expand our understanding of total nitrogen loading to streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (
Authors
Scott C. Kronholm, Paul D. Capel, Silvia Terziotti