A support vector regression model to predict nitrate-nitrogen isotopic composition using hydro-chemical variables
Abstract
Nitrate is a prominent pollutant in surface and groundwater bodies worldwide. Isotopes in nitrate provide a powerful approach for tracing nitrate sources and transformations in waters. Given that analytical techniques for determining isotopic compositions are generally time-consuming, laborious and expensive, alternative methods are warranted to supplement and enhance existing approaches. Hence, we developed a support vector regression (SVR)...
Paper Details
Title
A support vector regression model to predict nitrate-nitrogen isotopic composition using hydro-chemical variables
Published Date
Jul 1, 2021
Volume
290
Pages
112674 - 112674
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History