Article
Environmental Sciences
Xingchen Zhang, Lixia Chen, Chao Zhou
Summary: Landslides along the Three Gorges Reservoir in China are a threat to coastal residents and waterway safety. This paper proposes an effective method for predicting the deformation trend of reservoir bank landslides to reduce false positive misjudgments. The Time-Series InSAR method and Sentinel-1A images from 2018 to 2022 were used for landslide deformation monitoring, and the Hurst index was calculated to characterize the deformation trend. The combination of Time-Series InSAR and the Hurst index can effectively monitor deformation and predict the stability trend of reservoir bank landslides.
Article
Mathematics, Applied
M. Dolores Ruiz-Medina
Summary: Long Range Dependence (LRD) in functional sequences is characterized in the spectral domain under suitable conditions. A weak-consistent parametric estimator of the long-memory operator is obtained by minimizing a divergence information functional loss. The results derived allow for inference from the discrete sampling of Gaussian solutions to fractional and multifractional pseudodifferential models.
FRACTIONAL CALCULUS AND APPLIED ANALYSIS
(2022)
Article
Mechanics
Nitin B. Burud, J. M. Chandra Kishen
Summary: The dependence of current events on past events, known as long memory phenomenon, is significant in stochastic processes. The complexity of concrete fracture process arises from long-range interactions of multi-scale cracks, which may lead to long memory effects. We quantify the long memory effect in concrete fracture process using Hurst exponent for acoustic emission measurements. The magnitude and inter-event time series are studied for three different beam sizes under monotonic and fatigue loading. The long memory effect is strongly observed under fatigue loading. Local variations in Hurst exponent reveal the fundamental difference between monotonic and fatigue loading, which can be utilized for damage detection in concrete.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Remote Sensing
Vangelis Fotakidis, Irene Chrysafis, Giorgos Mallinis, Nikos Koutsias
Summary: This study evaluates the feasibility of using three spectral indices for continuous burned area monitoring and finds that using the differenced Normalized Burn Ratio (dNBR) and Relativized Burn Ratio (RBR) is more efficient than using the Normalized Burn Ratio (NBR).
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Qunming Wang, Xinyu Ding, Xiaohua Tong, Peter M. Atkinson
Summary: The study introduces a spatio-temporal spectral unmixing (STSU) approach, which extends spectral unmixing into the spatio-temporal domain to obtain more reliable land cover information. This method does not require pure endmember extraction and directly uses extracted mixed training samples to construct a learning model, making it suitable for dynamic monitoring of land cover changes.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Darko Sarvan, Milica Tosic, Marko Borovinic, Suzana Blesic
Summary: In this study, detrended methods and wavelet transform spectral analysis were used to characterize long-term persistence properties of temperature anomalies time series, showing that these properties were preserved in the data processing. Additionally, the Hurst space analysis method was applied to classify climatic records based on their persistence and cyclical presentation.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Environmental Sciences
Robert A. Sohn, Robert N. Harris
Summary: This study uses yearlong temperature profile time-series data to investigate heat and mass fluxes in and around the Deep Hole thermal area of Yellowstone Lake. Sediments outside the thermal area have different thermal properties compared to those inside, with significant spatial and temporal variability observed in the latter.
WATER RESOURCES RESEARCH
(2021)
Article
Mathematics
Raoul Nigmatullin, Semyon Dorokhin, Alexander Ivchenko
Summary: The paper focuses on the generalization of the Hurst empirical law and proposes reduced parameters for quantitative description of long-time series. Analyzing three hypotheses, it demonstrates that the generalized Hurst laws can accurately describe trendless sequences associated with radiometric measurements with a relative error not exceeding 2%. This general approach can also be applied to other trendless sequences.
Article
Computer Science, Artificial Intelligence
Simon Rudkin, Wanling Qiu, Pawel Dlotko
Summary: Norms of Persistent Homology, introduced in topological data analysis, serve as indicators of system instability and resemble financial market uncertainty indexes. This paper establishes a contemporaneous relationship between persistence norms and all types of uncertainty. By incorporating a dynamic modeling framework, it is demonstrated that unobserved uncertainty causes persistence norms. Furthermore, the study reveals that correlations between unobserved uncertainty and persistence norms increase before market crashes. The evidence from the dynamic analysis supports the conclusion that persistence norms can signal impending market crashes.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Lyudmyla Kirichenko, Roman Lavrynenko
Summary: This paper investigates the capabilities of machine learning for probabilistic forecasting of fractional Brownian motion (fBm). It focuses on predicting the probability of an fBm time series exceeding a certain threshold after a specific number of time steps, given only the knowledge of its Hurst exponent. The study aims to determine if self-similarity is preserved in forecasting time series and identify the most effective machine learning algorithms. Two types of forecasting methods are examined: methods with predefined distribution shape and those without. The results show that self-similarity properties can be reliably reproduced in the continuations of the fBm time series predicted by machine learning methods. The study also compares various probabilistic forecasting methods experimentally and discusses their potential applications in analyzing and modeling fractal time series.
FRACTAL AND FRACTIONAL
(2023)
Article
Agronomy
Laura Recuero, Lilian Maila, Victor Cicuendez, Cesar Saenz, Javier Litago, Lucia Tornos, Silvia Merino-de-Miguel, Alicia Palacios-Orueta
Summary: Multiple cropping systems are essential for ensuring food security under the increasing demand for cereals. This research assessed cropland intensification in Ecuador using spectral analysis of MODIS NDVI time series. The results show that over half of the studied croplands experienced changes in cropping systems and 40% showed positive trends in terms of the number of growing crop cycles. It was found that double cropping systems were more widely used than growing three crops per year.
Article
Biodiversity Conservation
Junjie Fu, Wei Wang, Peter D. Hunter, Wei Li, Junyao Sun
Summary: Dam construction is important for power generation and water capture, but the effects of cascade dams with different regulation types on vegetation coverage need further investigation. This study examined the effects of dam construction on vegetation coverage and predicted the trends at different scales.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
David Andres Rivas-Tabares, Antonio Saa-Requejo, Juan Jose Martin-Sotoca, Ana Maria Tarquis
Summary: The analysis of vegetation indices time series has been increasingly improved for characterizing agricultural land processes, especially in semiarid regions where factors like rainfall, soil properties and climate strongly influence crop growth. By examining NDVI series from different agroclimatic zones and applying the concept of the generalized Hurst exponent, this study revealed the influences of soil-climate interactions on the dynamic of NDVI series of rainfed cereals in the semiarid.
Article
Environmental Sciences
Zahra Noorisameleh, William A. Gough, M. Monirul Qader Mirza
Summary: This study explores the persistence and spatial-temporal variability of drought severity in the diverse dryland of Iran using data from 44 synoptic stations from 1989 to 2018. The results confirm the persistence of droughts in Iran with high regional variability. An inverse relationship is found between the long-term coefficient of variation of monthly precipitation and the persistence percentage in different arid regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
J. L. Lopez, S. Hernandez, A. Urrutia, X. A. Lopez-Cortes, H. Araya, L. Morales-Salinas
Summary: Climate change has a profound impact on society, with research showing the need for further optimization in handling missing data. Methods such as detrended fluctuation analysis can improve data analysis outcomes.
COMPUTERS & GEOSCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Charles J. Paradis, Emma R. Dixon, Lauren M. Lui, Adam P. Arkin, Jack C. Parker, Jonathan D. Istok, Edmund Perfect, Larry D. McKay, Terry C. Hazen
Article
Geosciences, Multidisciplinary
Charles J. Paradis, Emma R. Dixon, Lauren M. Lui, Adam P. Arkin, Jack C. Parker, Jonathan D. Istok, Edmund Perfect, Larry D. McKay, Terry C. Hazen
Article
Mathematics, Interdisciplinary Applications
Behzad Ghanbarian, Edmund Perfect, Hui-Hai Liu
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2019)
Article
Mathematics, Interdisciplinary Applications
J. W. Brabazon, E. Perfect, C. H. Gates, L. J. Santodonato, I Dhiman, H. Z. Bilheux, J-C Bilheux, L. D. Mckay
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2019)
Article
Energy & Fuels
Victoria H. DiStefano, Joanna McFarlane, Andrew G. Stack, Edmund Perfect, David F. R. Mildner, Markus Bleuel, Steve J. Chipera, Kenneth C. Littrell, Michael C. Cheshire, Katherine E. Manz, Lawrence M. Anovitz
Article
Engineering, Civil
Yuxuan Xia, Jianchao Cai, Edmund Perfect, Wei Wei, Qi Zhang, Qingbang Meng
JOURNAL OF HYDROLOGY
(2019)
Article
Water Resources
B. B. Horodecky, E. Perfect, J. W. Brabazon, C. H. Gates, H. Z. Bilheux
ADVANCES IN WATER RESOURCES
(2020)
Article
Nuclear Science & Technology
Joanna McFarlane, Lawrence M. Anovitz, Michael C. Cheshire, Victoria H. DiStefano, Hassina Z. Bilheux, Jean-Christophe Bilheux, Luke L. Daemen, Richard E. Hale, Robert L. Howard, A. Ramirez-Cuesta, Louis J. Santodonato, Markus Bleuel, Daniel S. Hussey, David L. Jacobson, Jacob M. LaManna, Edmund Perfect, Logan M. Qualls
Summary: Deep underground repositories are essential for isolating radioactive waste, with bentonite playing a crucial role in many multibarrier repository systems. This study analyzed the hydraulic behavior of bentonite samples under different conditions, revealing that hydrothermal treatment with KCl significantly increased water transport in the bentonite.
NUCLEAR TECHNOLOGY
(2021)
Article
Geochemistry & Geophysics
Ankur Roy, Edmund Perfect, Tapan Mukerji
Summary: The study introduces the concept of lacunarity ratio (LR), which normalizes the lacunarity of a given non-binary dataset to its random counterpart to analyze the relationship between attributes and spatial clustering. The technique can help identify the occurrence of large or steep fractures with respect to fracture clusters and improve modeling strategies.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Chemistry, Multidisciplinary
Joanna McFarlane, Victoria H. DiStefano, Philip R. Bingham, Hassina Z. Bilheux, Michael C. Cheshire, Richard E. Hale, Daniel S. Hussey, David L. Jacobson, Lindsay Kolbus, Jacob M. LaManna, Edmund Perfect, Mark Rivers, Louis J. Santodonato, Lawrence M. Anovitz
Summary: This study measured aqueous fluid imbibition rates in fractures in the Eagle Ford Shale using neutron imaging, analyzed the impact of different solutions on uptake rates, and investigated the effects of fracture widths, physical liquid properties, and wetting front heights on imbibition. The results also showed that wetting properties can vary on a relatively fine scale during imbibition.
Article
Agronomy
Katelyn M. Marcacci, Jeffrey M. Warren, Edmund Perfect, Jesse L. Labb
Summary: This study reviews the current knowledge on the effects of soil biotic components, such as roots and mycorrhizal fungi, on hydraulic properties. Laboratory experiments were conducted to specifically test the impact of these components on two different soils. The results demonstrate that the presence of roots and mycorrhizal fungi significantly affects the hydraulic properties of soil, highlighting the importance of considering these factors in soil hydraulic models.
Article
Engineering, Civil
Jessica M. Thompson, Jon M. Hathaway, Edmund Perfect, John S. Schwartz
Summary: The study found substantial interactions between infiltrated stormwater from a regenerative stormwater conveyance and the surrounding groundwater system, influenced by seasonal fluxes, weather patterns, and the presence of underground sewer lines. The RSC was observed to mound below during small to medium storm events, turning into a sink for adjacent areas during larger events. The presence of sewer lines was identified as the most significant factor influencing trends in groundwater interactions.
SUSTAINABLE AND RESILIENT INFRASTRUCTURE
(2021)
Review
Quantum Science & Technology
Scott E. Crawford, Roman A. Shugayev, Hari P. Paudel, Ping Lu, Madhava Syamlal, Paul R. Ohodnicki, Benjamin Chorpening, Randall Gentry, Yuhua Duan
Summary: Quantum sensing is revolutionizing the way ultrasensitive measurements are made, particularly within the energy sector. The increasing interest in quantum sensing is creating opportunities to enhance processes related to energy production, distribution, and consumption.
ADVANCED QUANTUM TECHNOLOGIES
(2021)
Article
Environmental Sciences
Edmund Perfect, Jared W. Brabazon, Christopher H. Gates
VADOSE ZONE JOURNAL
(2020)
Article
Environmental Sciences
J. W. Brabazon, E. Perfect, C. H. Gates, H. Z. Bilheux, J. S. Tyner, L. D. McKay, B. B. Horodecky
VADOSE ZONE JOURNAL
(2019)