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Shen, Longzhu; Amatulli, Giuseppe; Sethi, Tushar; Raymond, Peter; Domisch, Sami (2019): Estimating nitrogen and phosphorus concentrations in streams and rivers across the Contiguous United States. PANGAEA,, Supplement to: Shen, L et al. (accepted): Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework. Scientific Data

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Nitrogen (N) and Phosphorus (P) are essential nutritional elements for life processes in water bodies. However, in excessive quantities, they may represent a significant source of aquatic pollution. Eutrophication has become a widespread issue rising from a chemical nutrient imbalance and is largely attributed to anthropogenic activities. In view of this phenomenon, we present a new geo-dataset to estimate and map the concentrations of N and P in their various chemical forms at a spatial resolution of 30 arc-second (~1 km) for the conterminous US. The models were built using Random Forest (RF), a machine learning algorithm that regressed the seasonally measured N and P concentrations collected at 62,495 stations across the US streams for the period of 1994-2018 onto a set of 47 in-house built environmental variables that are available at a near-global extent. The seasonal models were validated through internal and external validation procedures and the predictive powers measured by Pearson Coefficients reached approximately 0.66 on average.
freshwater nutrients; machine learning; nitrogen; phosphorus; stream network; water quality
Median Latitude: 37.950000 * Median Longitude: -102.300000 * South-bound Latitude: 27.700000 * West-bound Longitude: -123.800000 * North-bound Latitude: 48.200000 * East-bound Longitude: -80.800000
USA_cont * Latitude Start: 48.200000 * Longitude Start: -123.800000 * Latitude End: 27.700000 * Longitude End: -80.800000 * Location: United States of America
Updated version, 2020-03-04.
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentAmatulli, Giuseppe
2File nameFile nameAmatulli, Giuseppe
3File formatFile formatAmatulli, Giuseppe
4File sizeFile sizekByteAmatulli, Giuseppe
5Uniform resource locator/link to fileURL fileAmatulli, Giuseppe
100 data points

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