98%
921
2 minutes
20
Analyzing field data from pumping tests, we show that as with many other natural phenomena, groundwater flow exhibits complex dynamics described by 1/f power spectrum. This result is theoretically studied within an agent perspective. Using a traveling agent model, we prove that this statistical behavior emerges when the medium is complex. Some heuristic reasoning is provided to justify both spatial and dynamic complexity, as the result of the superposition of an infinite number of stochastic processes. Even more, we show that this implies that non-Kolmogorovian probability is needed for its study, and provide a set of new partial differential equations for groundwater flow.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203025 | PMC |
http://dx.doi.org/10.7717/peerj.557 | DOI Listing |
Environ Sci Technol
September 2025
Oregon State University, Department of Biological & Ecological Engineering, Corvallis, Oregon 97331-4501, United States.
Chemical forensics aims to identify major contamination sources, but existing workflows often rely on predefined targets and known sources, introducing bias. Here, we present a data-driven workflow that reduces this bias by applying an unsupervised machine learning technique. We applied both nonmetric multidimensional scaling (NMDS) and non-negative matrix factorization (NMF) on the same nontargeted chemical data set to compare their different interpretations of environmental sources.
View Article and Find Full Text PDFWater Res
September 2025
School of Mines, China University of Mining & Technology, Xuzhou, 221116, PR China.
In-situ microemulsion has shown great potential for remediation of dense non-aqueous phase liquids (DNAPLs) contaminated aquifers due to the capacity to enhance DNAPL solubility and mobility. Understanding the pore-scale removal behavior of DNAPL and quantifying proportions of mobilization/solubilization in flushing process are essential to improve remediation efficiency. However, owing to the opacity of aquifer medium, the sand columns commonly used in flushing experiments are hard to reveal the dynamic behaviors and removal mechanism of DNAPLs in aquifer by in-situ microemulsion.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, Strasbourg, 67083, France.
Many large rivers have been regulated for navigation improvement, hydro-electricity production, agricultural development and flood protection. River regulation alters both aquatic and riverine habitat dynamics as well as ecological functionalities and ecosystem services. This study aims to evaluate the impacts of river regulation performed along the Rhine as well as climate change to develop a process-based restoration strategy for the Rhinau-Taubergiessen area.
View Article and Find Full Text PDFGround Water
September 2025
U.S. Geologic Survey, Upper Midwest Water Science Center, Madison, WI.
PEST++IES (White 2018; White et al. 2020) is widely used in the groundwater modeling community for its ability to perform computationally efficient history matching and uncertainty analysis in a highly parameterized context. One primary advantage of using an iterative ensemble smoother is that the number of model runs required per iteration depends on the number of realizations in an ensemble, not the number of parameters in each realization.
View Article and Find Full Text PDFGround Water
September 2025
College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.
Cross-sectional (2D) groundwater models are commonly applied to simulate complex processes that are challenging to capture using the coarse grids of 3D regional-scale models. 2D models are often extracted from 3D models for this purpose. However, translating groundwater properties from 3D to 2D models so that regional flow patterns are preserved poses several challenges.
View Article and Find Full Text PDF