From legacy contamination to watershed systems science: a review of scientific insights and technologies developed through DOE-supported research in water and …
Water resources, including groundwater and prominent rivers worldwide, are under duress
because of excessive contaminant and nutrient loads. To help mitigate this problem, the …
because of excessive contaminant and nutrient loads. To help mitigate this problem, the …
[HTML][HTML] Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling
Combining different sources of information about the subsurface is an inherent challenge in
the process of making realistic geological and hydrostratigraphic models. Often the available …
the process of making realistic geological and hydrostratigraphic models. Often the available …
Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1. 0)
Geological uncertainty quantification is critical to subsurface modeling and prediction, such
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …
Double verification and quantitative traceability: A solution for mixed mine water sources
Y Zeng, A Mei, Q Wu, S Meng, D Zhao, Z Hua - Journal of Hydrology, 2024 - Elsevier
Accurate identification of mine water sources is one of the keys to safe coal mining.
However, conventional water source identification methods rely on groundwater-level …
However, conventional water source identification methods rely on groundwater-level …
[HTML][HTML] Watershed zonation through hillslope clustering for tractably quantifying above-and below-ground watershed heterogeneity and functions
HM Wainwright, S Uhlemann, M Franklin… - Hydrology and Earth …, 2022 - hess.copernicus.org
In this study, we develop a watershed zonation approach for characterizing watershed
organization and functions in a tractable manner by integrating multiple spatial data layers …
organization and functions in a tractable manner by integrating multiple spatial data layers …
Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management
NS Kawo, J Korus, ML Gulbrandsen - Hydrogeology Journal, 2023 - Springer
Quaternary glacial aquifers are important water sources for irrigation in many agricultural
regions, including eastern Nebraska, USA. Quaternary glacial aquifers are heterogeneous …
regions, including eastern Nebraska, USA. Quaternary glacial aquifers are heterogeneous …
A novel methodology for the stochastic integration of geophysical and hydrogeological data in geologically consistent models
To address groundwater issues, it is often necessary to develop geological and
hydrogeological models. Combining geological, geophysical and hydrogeological data …
hydrogeological models. Combining geological, geophysical and hydrogeological data …
A Tree‐Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling
Direct sampling (DS) is a versatile multiple‐point statistics method for generating spatial‐
temporal geostatistical models. DS is known for being able to address a variety of training …
temporal geostatistical models. DS is known for being able to address a variety of training …
A nearest neighbor multiple-point statistics method for fast geological modeling
C Zuo, Z Pan, Z Yin, C Guo - Computers & Geosciences, 2022 - Elsevier
Multiple-point statistics (MPS) is a powerful method to generate realistic geological models.
Given a training image as a prior model, the program iteratively reproduces spatial patterns …
Given a training image as a prior model, the program iteratively reproduces spatial patterns …
Three‐dimensional probabilistic hydrofacies modeling using machine learning
Characterizing the 3D distribution of hydraulic properties in glacial sediments is challenging
due to fine‐scale heterogeneity and complexity. Borehole lithological data provide high …
due to fine‐scale heterogeneity and complexity. Borehole lithological data provide high …