Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams
December 1, 2016
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 (
Citation Information
| Publication Year | 2016 |
|---|---|
| Title | Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams |
| DOI | 10.1007/s10666-016-9525-3 |
| Authors | Scott C. Kronholm, Paul D. Capel, Silvia Terziotti |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Environmental Modeling & Assessment |
| Index ID | 70192566 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | National Water Quality Assessment Program |
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Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams
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...
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Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams
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...