Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning

Modeling Depth of the Redox Interface at High Resolution at National Scale Using Random Forest and Residual Gaussian Simulation

(2019) Julian Koch et al.   WATER RESOURCES RESEARCH

Regionalisierte Darstellung der Nitratbelastung im Grundwasser Niedersachsens

(2019) Gunter Wriedt et al.   Grundwasser

Large scale prediction of groundwater nitrate concentrations from spatial data using machine learning

(2019) Lukas Knoll et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources

(2019) Hristos Tyralis et al.   Water

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of four learning-based methods for predicting groundwater redox status

(2019) M.J. Friedel et al.   JOURNAL OF HYDROLOGY

Achieving unbiased predictions of national-scale groundwater redox conditions via data oversampling and statistical learning

(2019) Scott R. Wilson et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Möglichkeiten und Grenzen der Validierung flächenhaft modellierter Nitrateinträge ins Grundwasser mit der N2/Ar-Methode

(2018) Wolfram Eschenbach et al.   Grundwasser

Applying linear discriminant analysis to predict groundwater redox conditions conducive to denitrification

(2018) S.R. Wilson et al.   JOURNAL OF HYDROLOGY

Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods

(2018) V.F. Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms

(2018) Gábor Szatmári et al.   GEODERMA

Charakterisierung des Nitratabbauvermögens der Grundwasserleiter in Sachsen-Anhalt

(2018) Stephan Hannappel et al.   Grundwasser

Application of random forest regression and comparison of its performance to multiple linear regression in modeling groundwater nitrate concentration at the African continent scale

(2018) Issoufou Ouedraogo et al.   HYDROGEOLOGY JOURNAL

Simulation of terrestrial nitrogen fluxes in Mecklenburg-Vorpommern and scenario analyses how to reach N-quality targets for groundwater and the coastal waters

(2017) Ralf Kunkel et al.   Environmental Earth Sciences

Using quantile regression forest to estimate uncertainty of digital soil mapping products

(2017) Kévin Vaysse et al.   GEODERMA

Nachlassender Nitratabbau im Grundwasser und deren Folgen – abgestufte modellgestützte Bewertungsansätze

(2017) Siegfried Wilde et al.   Grundwasser

Prediction and visualization of redox conditions in the groundwater of Central Valley, California

(2017) Celia Z. Rosecrans et al.   JOURNAL OF HYDROLOGY

The EU Water Framework Directive: From great expectations to problems with implementation

(2017) Nikolaos Voulvoulis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

(2017) Katherine M. Ransom et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification

(2017) Anthony J. Tesoriero et al.   WATER RESOURCES RESEARCH

Synthesis and review: Tackling the nitrogen management challenge: from global to local scales

(2016) Stefan Reis et al.   Environmental Research Letters

Predicting groundwater redox status on a regional scale using linear discriminant analysis

(2016) M.E. Close et al.   JOURNAL OF CONTAMINANT HYDROLOGY

The role of water nitrogen retention in integrated nutrient management: assessment in a large basin using different modelling approaches

(2015) Bruna Grizzetti et al.   Environmental Research Letters

Predicting Redox Conditions in Groundwater at a Regional Scale

(2015) Anthony J. Tesoriero et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

(2015) Bernard T. Nolan et al.   JOURNAL OF HYDROLOGY

Modeling groundwater nitrate concentrations in private wells in Iowa

(2015) David C. Wheeler et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Modeling Nitrate at Domestic and Public-Supply Well Depths in the Central Valley, California

(2014) Bernard T. Nolan et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Nitrate in groundwater of China: Sources and driving forces

(2013) Baojing Gu et al.   GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS

Consequences of human modification of the global nitrogen cycle

(2013) J. W. Erisman et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Model Based Assessment of Nitrate Pollution of Water Resources on a Federal State Level for the Dimensioning of Agro-environmental Reduction Strategies

(2012) Petra Kuhr et al.   WATER RESOURCES MANAGEMENT

Factors controlling nitrate fluxes in groundwater in agricultural areas

(2012) Lixia Liao et al.   WATER RESOURCES RESEARCH

Parameterization and regionalization of redox based denitrification for GIS-embedded nitrate transport modeling in Pleistocene aquifer systems

(2009) C. Merz et al.   Environmental geology.

Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions

(2008) J. N. Galloway et al.   SCIENCE

Nitrate attenuation in groundwater: A review of biogeochemical controlling processes

(2008) Michael O. Rivett et al.   WATER RESEARCH

Redox Processes and Water Quality of Selected Principal Aquifer Systems

(2007) P.B. McMahon et al.   Groundwater