Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods
Although estimating the uncertainty of models used for modelling nitrate contamination of
groundwater is essential in groundwater management, it has been generally ignored. This …
groundwater is essential in groundwater management, it has been generally ignored. This …
Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning
B Kasraei, B Heung, DD Saurette, MG Schmidt… - … Modelling & Software, 2021 - Elsevier
Digital soil mapping (DSM) techniques have provided soil information that has
revolutionized soil management across multiple spatial extents and scales. DSM …
revolutionized soil management across multiple spatial extents and scales. DSM …
[HTML][HTML] The risk assessment of arsenic contamination in the urbanized coastal aquifer of Rayong groundwater basin, Thailand using the machine learning approach
N Sumdang, S Chotpantarat, KH Cho… - … and Environmental Safety, 2023 - Elsevier
The rapid expansion of urbanization has resulted in an insufficient of groundwater resource.
In order to use groundwater more efficiently, a risk assessment of groundwater pollution …
In order to use groundwater more efficiently, a risk assessment of groundwater pollution …
[HTML][HTML] A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression
M Schmidt, D Saurette, J Zhang, C Bulmer, D Filatow… - Geoderma, 2023 - Elsevier
Pedotransfer functions (PTFs) have been developed for many regions to estimate values
missing from soil profile databases. However, globally there are many areas without existing …
missing from soil profile databases. However, globally there are many areas without existing …
Bayesian Model averaging ensemble approach for multi-time-ahead groundwater level prediction combining the GRACE, GLEAM, and GLDAS data in arid areas
T Zhou, X Wen, Q Feng, H Yu, H Xi - Remote Sensing, 2022 - mdpi.com
Accurate groundwater level (GWL) prediction is essential for the sustainable management of
groundwater resources. However, the prediction of GWLs remains a challenge due to …
groundwater resources. However, the prediction of GWLs remains a challenge due to …
Hydrological ensemble forecasting using a multi-model framework
P Dion, JL Martel, R Arsenault - Journal of Hydrology, 2021 - Elsevier
Ensemble streamflow predictions (ESP) from a single hydrological model tend to under-
sample the variability needed to provide a good representation of streamflow observations …
sample the variability needed to provide a good representation of streamflow observations …
Deep learning-based predictive framework for groundwater level forecast in arid irrigated areas
W Liu, H Yu, L Yang, Z Yin, M Zhu, X Wen - Water, 2021 - mdpi.com
An accurate groundwater level (GWL) forecast at multi timescales is vital for agricultural
management and water resource scheduling in arid irrigated areas such as the Hexi …
management and water resource scheduling in arid irrigated areas such as the Hexi …
[HTML][HTML] A novel local-global dependency deep learning model for soil mapping
The accurate and cost-effective mapping of soil texture is essential for agricultural
development and environmental activities. Soil texture exhibits high spatial heterogeneity …
development and environmental activities. Soil texture exhibits high spatial heterogeneity …
A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation
Exact and dependable runoff forecasting plays a vital role in water resources management
and utilization. This paper proposes a B-spline quantile regression probability density …
and utilization. This paper proposes a B-spline quantile regression probability density …