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

The Science of the total environment, 2019-06, Vol.668, p.1317-1327

2019

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

Environmental research letters, 2020-06, Vol.15 (6), p.64004

2020

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SPOTting Model Parameters Using a Ready-Made Python Package

PloS one, 2015-12, Vol.10 (12), p.e0145180-e0145180

2015

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Finding common development paths in voluntary national reviews reporting on sustainable development goals using aspect-based sentiment analysis

PloS one, 2024-08, Vol.19 (8), p.e0307886

2024

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Economic and environmental impact assessment of sustainable future irrigation practices in the Indus Basin of Pakistan

Scientific reports, 2021-12, Vol.11 (1), p.23466-23466, Article 23466

2021

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A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa

Scientific reports, 2024-02, Vol.14 (1), p.4274-4274, Article 4274

2024

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Calculation of a food consumption nitrogen footprint for Germany

Environmental research letters, 2021-07, Vol.16 (7), p.75005

2021

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Water Resources Management Strategies for Irrigated Agriculture in the Indus Basin of Pakistan

Water (Basel), 2020-05, Vol.12 (5), p.1429

2020

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Land use affects total dissolved nitrogen and nitrate concentrations in tropical montane streams in Kenya

The Science of the total environment, 2017-12, Vol.603-604, p.519-532

2017

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Comparing molecular composition of dissolved organic matter in soil and stream water: Influence of land use and chemical characteristics

The Science of the total environment, 2016-11, Vol.571, p.142-152

2016

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Water transport and tracer mixing in volcanic ash soils at a tropical hillslope: A wet layered sloping sponge

Hydrological processes, 2020-04, Vol.34 (9), p.2032-2047

2020

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New Seasonal Shift in In-Stream Diurnal Nitrate Cycles Identified by Mining High-Frequency Data

PloS one, 2016-04, Vol.11 (4), p.e0153138-e0153138

2016

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A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C

Climatic change, 2017-04, Vol.141 (3), p.577-595

2017

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Author Correction: Trade-offs between parameter constraints and model realism: a case study

Scientific reports, 2022-03, Vol.12 (1), p.4961-4961, Article 4961

2022

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A field, laboratory, and literature review evaluation of the water retention curve of volcanic ash soils: How well do standard laboratory methods reflect field conditions?

Hydrological processes, 2021-01, Vol.35 (1), p.n/a

2021

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Explainable AI Framework for Multivariate Hydrochemical Time Series

Machine learning and knowledge extraction, 2021-03, Vol.3 (1), p.170-204

2021

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Exploring the interplay between climate change and schistosomiasis transmission dynamics

Infectious disease modelling, 2024-03, Vol.9 (1), p.158-176

2024

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Agricultural land is the main source of stream sediments after conversion of an African montane forest

Scientific reports, 2020-09, Vol.10 (1), p.14827-14827, Article 14827

2020

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Adapting Strategies for Effective Schistosomiasis Prevention: A Mathematical Modeling Approach

Mathematics (Basel), 2023-06, Vol.11 (12), p.2609

2023

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Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow

Frontiers in water, 2021-06, Vol.3

2021

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Betting on the best case: higher end warming is underrepresented in research

Environmental research letters, 2021-08, Vol.16 (8), p.84036

2021

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Afforestation or intense pasturing improve the ecological and economic value of abandoned tropical farmlands

Nature communications, 2014-11, Vol.5 (1), p.5612-5612, Article 5612

2014

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Diurnal Patterns in Solute Concentrations Measured with In Situ UV-Vis Sensors: Natural Fluctuations or Artefacts?

Sensors (Basel, Switzerland), 2020-02, Vol.20 (3), p.859

2020

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High-Resolution, In Situ Monitoring of Stable Isotopes of Water Revealed Insight into Hydrological Response Behavior

Water (Basel), 2020-02, Vol.12 (2), p.565

2020

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Compositional diversity of rehabilitated tropical lands supports multiple ecosystem services and buffers uncertainties

Nature communications, 2016-06, Vol.7 (1), p.11877-11877, Article 11877

2016

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

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

SPOTting Model Parameters Using a Ready-Made Python Package

Finding common development paths in voluntary national reviews reporting on sustainable development goals using aspect-based sentiment analysis

Economic and environmental impact assessment of sustainable future irrigation practices in the Indus Basin of Pakistan

A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa

Calculation of a food consumption nitrogen footprint for Germany

Water Resources Management Strategies for Irrigated Agriculture in the Indus Basin of Pakistan

Land use affects total dissolved nitrogen and nitrate concentrations in tropical montane streams in Kenya

Comparing molecular composition of dissolved organic matter in soil and stream water: Influence of land use and chemical characteristics

Water transport and tracer mixing in volcanic ash soils at a tropical hillslope: A wet layered sloping sponge

New Seasonal Shift in In-Stream Diurnal Nitrate Cycles Identified by Mining High-Frequency Data

A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C

Author Correction: Trade-offs between parameter constraints and model realism: a case study

A field, laboratory, and literature review evaluation of the water retention curve of volcanic ash soils: How well do standard laboratory methods reflect field conditions?

Explainable AI Framework for Multivariate Hydrochemical Time Series

Exploring the interplay between climate change and schistosomiasis transmission dynamics

Agricultural land is the main source of stream sediments after conversion of an African montane forest

Adapting Strategies for Effective Schistosomiasis Prevention: A Mathematical Modeling Approach

Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow

Betting on the best case: higher end warming is underrepresented in research

Afforestation or intense pasturing improve the ecological and economic value of abandoned tropical farmlands

Diurnal Patterns in Solute Concentrations Measured with In Situ UV-Vis Sensors: Natural Fluctuations or Artefacts?

High-Resolution, In Situ Monitoring of Stable Isotopes of Water Revealed Insight into Hydrological Response Behavior

Compositional diversity of rehabilitated tropical lands supports multiple ecosystem services and buffers uncertainties

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