4.7 Article

A parsimonious model for predicting the NO3--N concentration in shallow groundwater in intensive agricultural areas using few easily accessible indicators and small datasets based on machine learning

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

Alexandre Bailly et al.

Summary: This study compares the impact of training dataset size and interactions on the performance of machine learning and deep learning models. The results show that machine learning models are less influenced by dataset size but require interaction terms to achieve good performance, while deep learning models can achieve good performance even without interaction terms. Overall, well-specified machine learning models outperform deep learning models.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2022)

Article Environmental Sciences

Nitrate concentration analysis and prediction in a shallow aquifer in central-eastern Tunisia using artificial neural network and time series modelling

Asma El Amri et al.

Summary: This study analyzed nitrate concentrations in a shallow aquifer in central-eastern Tunisia and identified the factors contributing to it. Agricultural activities were found to be the main source of nitrate contamination. By using the proposed ARIMA model, future changes in nitrate concentrations can be predicted.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

Article Environmental Sciences

Electrical conductivity and dissolved oxygen as predictors of nitrate concentrations in shallow groundwater in Erhai Lake region

Dan Zhang et al.

Summary: The study found that land use type and seasonal variations significantly affect the forms and concentrations of nitrogen in shallow groundwater, with electrical conductivity and redox environment reflecting their variations.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Engineering, Civil

DOC and nitrate fluxes from farmland; impact on a dolostone aquifer KCZ

G. Medici et al.

Summary: This study focuses on quantifying fluxes of DOC and nitrate in farmland, using the Transect Method to calculate mass fluxes in groundwater. The research found that localized contamination significantly impacts groundwater chemical concentrations and identified the vulnerable contamination zone. Future modeling efforts should target this shallow vulnerability zone and the Transect Method can be used to define boundary conditions.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

A high-resolution nitrate vulnerability assessment of sandy aquifers (DRASTIC-N)

Denitza D. Voutchkova et al.

Summary: Groundwater protection from agricultural nitrate pollution is crucial for safeguarding aquatic ecosystems and human health. The nitrate vulnerability assessment is essential for managing and protecting groundwater. The paper introduces a nitrate-specific vulnerability assessment method, DRASTIC-N, based on the widely recognized DRASTIC method with added geochemical parameter, suitable for glacial sandy aquifers vulnerable to nitrate pollution.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)

Article Environmental Sciences

Application of novel framework approach for prediction of nitrate concentration susceptibility in coastal multi-aquifers, Bangladesh

Abu Reza Md Towfiqul Islam et al.

Summary: This study aims to predict and map nitrate concentration susceptibility in the coastal multi-aquifers of Bangladesh using a novel framework approach. By employing ensemble learning algorithms and cross-validation methods, the study identified depth, pH, and As as the most influential factors affecting nitrate concentration in groundwater. The Boosting model outperformed other models in mapping nitrate concentration susceptibility, showcasing the effectiveness of the proposed approach for groundwater pollution management.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Green & Sustainable Science & Technology

Effect of hydrogeological conditions on groundwater nitrate pollution and human health risk assessment of nitrate in Jiaokou Irrigation District

Qiying Zhang et al.

Summary: The study utilized the GWF, DRASTIC model, and HHRA model to investigate nitrate pollution in the Jiaokou Irrigation District, China, analyzing the impact of hydrogeological conditions and assessing human health risks. The results showed high nitrate concentration mainly in cultivated land, with high aquifer vulnerability levels in central and eastern parts. Health risks were higher for pregnant and breastfeeding women compared to children. This research provides important information for policymakers to protect groundwater from nitrate pollution.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Engineering, Civil

A lumped model to simulate nitrate concentration evolution in groundwater at catchment scale

Nicolas Surdyk et al.

Summary: Groundwater nitrate contamination requires measures to reduce agricultural impacts. Models, especially lumped models like BICHE, can be useful for understanding nitrate transfer trends and forecasting, showing good performance in long-term trend analysis.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

Forecasting nitrate evolution in an alluvial aquifer under distinct environmental and climate change scenarios (Lower Rhine Embayment, Germany)

Felix Ortmeyer et al.

Summary: The study analyzed the effects of different climate scenarios on water balance and nitrate concentration, indicating that nitrate concentrations vary with climate change. Results showed a significant increase in nitrate concentrations in all scenarios, especially with the RCP 8.5 scenario.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Geochemistry & Geophysics

Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural network

Mouigni Baraka Nafouanti et al.

Summary: Groundwater fluoride poses health risks to humans, and analyzing its quality can be time-consuming and costly. This study utilized statistical methods such as Random Forest, Artificial Neural Network, and Logistic Regression to predict groundwater fluoride in the Datong Basin region. The results show that Random Forest exhibited the highest accuracy in predicting groundwater fluoride contamination, making it the most effective model for this study.

APPLIED GEOCHEMISTRY (2021)

Article Environmental Sciences

Prediction of groundwater quality using efficient machine learning technique

Sudhakar Singha et al.

Summary: To ensure safe drinking water in the future, understanding the quality and pollution level of existing groundwater is crucial, with high-accuracy water quality prediction being key. The deep learning model showed the highest accuracy in predicting groundwater quality, making it the most realistic and accurate approach for such predictions.

CHEMOSPHERE (2021)

Article Agriculture, Multidisciplinary

Rainfall intensification increases nitrate leaching from tilled but not no-till cropping systems in the US Midwest

Laura J. T. Hess et al.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2020)

Article Environmental Sciences

Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm

Dieu Tien Bui et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Multidisciplinary Sciences

Managing nitrogen to restore water quality in China

ChaoQing Yu et al.

NATURE (2019)

Article Environmental Sciences

Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study

Kyle P. Messier et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Environmental Sciences

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

Lukas Knoll et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Environmental Sciences

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

Farzaneh Sajedi-Hosseini et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2018)

Article Agriculture, Multidisciplinary

How does climate variability influence nitrogen loss in temperate agroecosystems under contrasting management systems?

K. A. Congreves et al.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2016)

Review Environmental Sciences

Deep challenges for China's war on water pollution

Dongmei Han et al.

ENVIRONMENTAL POLLUTION (2016)

Article Environmental Sciences

Nitrate in groundwater of China: Sources and driving forces

Baojing Gu et al.

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2013)

Article Agriculture, Multidisciplinary

Nitrate leaching under maize cropping systems in Po Valley (Italy)

Alessia Perego et al.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2012)

Article Environmental Sciences

Groundwater nitrate contamination: Factors and indicators

Katharina Wick et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2012)

Article Environmental Sciences

Nitrogen Dynamics at the Groundwater-Surface Water Interface of a Degraded Urban Stream

Paul M. Mayer et al.

JOURNAL OF ENVIRONMENTAL QUALITY (2010)

Review Engineering, Environmental

Nitrate attenuation in groundwater: A review of biogeochemical controlling processes

Michael O. Rivett et al.

WATER RESEARCH (2008)

Article Computer Science, Artificial Intelligence

Model selection for small sample regression

O Chapelle et al.

MACHINE LEARNING (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)