Article
Computer Science, Interdisciplinary Applications
Mostafa Hadavand, Clayton V. Deutsch
Summary: In this paper, deep learning is used to quantify moments of the conditional distribution of a missing variable, followed by the use of the lambda distribution to parametrize the conditional distribution. Geo-statistical quantification and Bayesian updating are used for data imputation, which is important for handling incomplete geological data.
COMPUTERS & GEOSCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Rodrigo Cesar Vasconcelos dos Santos, Marcelle Martins Vargas, Luis Carlos Timm, Samuel Beskow, Tirzah Moreira Siqueira, Carlos Rogerio Mello, Mauricio Fornalski Soares, Maira Martim de Moura, Klaus Reichardt
Summary: This study aims to assess the influence of spatial variabilities of K-sat and Theta on direct surface runoff (DSR) hydrographs using the Limburg Soil Erosion Model (LISEM) in conjunction with measured K-sat data. The effects of K-sat spatial variability and its uncertainties on DSR hydrographs were evaluated using Sequential Gaussian Simulation. The simulated DSR hydrographs and peak discharges were adequately represented by LISEM.
Article
Environmental Sciences
Yibo Yan, Yong Yang
Summary: Revealing the spatiotemporal distribution and changes in regional soil heavy metals is crucial for soil pollution control and management. However, existing studies often overlook the uncertainty of such changes, leading to unreliable results. This study proposes an ST sequential Gaussian simulation (STSGS) method, using soil Pb data collected from 2016 to 2019 in a mining city in China, to reveal the spatiotemporal distribution and variation of heavy metals in regional soils, while considering their uncertainties.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Andras Bardossy, Sebastian Horning
Summary: The spatial structures of natural variables are often complex and exhibit non-Gaussian spatial dependence. Existing approaches to consider non-Gaussian behavior are limited. This study presents a flexible method for defining non-Gaussian spatial dependence, based on continuous deformation of fields with different Gaussian spatial dependence. The methodology is illustrated with theoretical examples and demonstrated in a real-life example of groundwater quality parameters.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Environmental
Stephanie Thiesen, Uwe Ehret
Summary: In this study, the HER method is used to estimate soil contamination risk, compared with IK and OK models, the results show that in the analyzed dataset, IK and HER predictions perform the best and exhibit comparable accuracy and precision. Compared to IK, the advantages of HER in uncertainty estimation at a fine resolution are that it does not require modeling of multiple indicator variograms, correcting order-relation violations, or defining interpolation/extrapolation of distributions.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Geosciences, Multidisciplinary
Lars Troldborg, Maria Ondracek, Julian Koch, Jacob Kidmose, Jens Christian Refsgaard
Summary: This study used a methodology to assess the impact of sheet piles on the water table near a motorway, incorporating stratigraphic uncertainty. Parameter uncertainty was found to be dominant in simulating existing groundwater conditions, while stratigraphic uncertainty played a key role in predicting the impacts of the motorway sheet piles. The methodology's novelty lies in explicitly including uncertainties in geological interpretation of borehole data and using conditional sequential Gaussian simulation to quantify uncertainties, allowing for crucial small-scale variations.
HYDROGEOLOGY JOURNAL
(2021)
Article
Engineering, Civil
Robin Keegan-Treloar, Adrian D. Werner, Dylan J. Irvine, Eddie W. Banks
Summary: Hydraulic head distributions were investigated using Ordinary Indicator Co-Kriging in the Doongmabulla Springs Complex in Queensland, Australia, providing insights into the likelihood of different source aquifers supporting spring flow. Significant uncertainty in conceptual model assessment was identified due to data scarcity and variability.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Environmental
Rasmus Bodker Madsen, Ingelise Moller, Thomas Mejer Hansen
Summary: A novel stochastic methodology combining probabilistic data integration and cognitive modeling is proposed to address the uncertainty issue in deterministic geological models. Testing Gaussian distribution simulation and multiple-point geostatistics (MPS) showed satisfactory simulations in different scenarios, highlighting the importance of the number of uncertain data points and their information content in selecting the most appropriate simulation method.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Engineering, Marine
Emmanouil A. Varouchakis
Summary: This technical note applied a geostatistical model to investigate the spatial distribution of source rock data based on total organic carbon weight concentration. The median polish kriging method was used to address row and column effects, with ordinary kriging methodology applied to residuals. The study also utilized sequential Gaussian simulation to quantify uncertainty and recommended the use of median polish kriging method for similar applications.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Metallurgy & Metallurgical Engineering
Ben Ben Harding, Rodolfo Lagos, Nicos Pfeiffer, Clayton V. V. Deutsch
Summary: This paper presents a probabilistic resource modeling workflow for the Round Mountain epithermal gold deposit, which provides a model of variability and uncertainty based on simulated realizations of categorical and continuous variables. These realizations can be used to quantify deviations in reconciliation during mining and improve the accuracy of gold measurement compared to estimated models. The geological characteristics and uncertainties of Round Mountain, such as the distribution of gold mineralization and input histograms, are considered in the modeling process.
MINING METALLURGY & EXPLORATION
(2023)
Article
Geosciences, Multidisciplinary
Xiaochen Wang, Qinglin Xia
Summary: This study utilized sequential Gaussian simulation (SGS) and the concentration-volume (C-V) fractal model to delineate various alteration zones in the Pulang copper deposit, revealing the relationship between different alteration zones and Cu grades, as well as the distribution of high Cu grades in the deposit.
NATURAL RESOURCES RESEARCH
(2022)
Article
Geochemistry & Geophysics
Yue Liu, Qinglin Xia, Qiuming Cheng
Summary: The structure system is the only pathway connecting deep orebodies with surface tectono-geochemical anomalies, and both show correspondence and consistency. This study proposed a method of sequential Gaussian co-simulation of tectono-geochemical anomalies, which integrates the tectono-geochemical anomalies with the ore-controlling structure system to solve geological prospecting problems related to ore-forming space and material migration. A case study in China showed that the proposed method significantly improves the prediction of concealed ore deposits.
APPLIED GEOCHEMISTRY
(2023)
Review
Environmental Sciences
Costantino Masciopinto, Giuseppe Passarella, Maria C. Caputo, Rita Masciale, Lorenzo De Carlo
Summary: The article emphasizes the necessary improvements in mathematical hydrologic models applied in fractured karstic formations and the importance of fluid dynamic equations in karst aquifers. Further model development is needed to address the tortuosity issues of preferential saturated fluid flow in fractures.
WATER RESOURCES RESEARCH
(2021)
Article
Statistics & Probability
Nathan Wycoff, Mickael Binois, Stefan M. Wild
Summary: Active subspace methods have become popular for subspace sensitivity analysis, but in cases of noisy, expensive, or stochastic simulators, evaluating gradients through finite differencing may be infeasible. When the surrogate model is a Gaussian process, the ASM estimator can be computed in closed form, eliminating the need for finite-difference approximation.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2021)
Article
Statistics & Probability
Ozge Surer, Matthew Plumlee, Stefan M. Wild
Summary: This article presents a sequential framework and a novel criterion for parameter selection in the calibration of simulation models for critical systems. The proposed method improves the efficiency of the calibration process by using intelligent and adaptive selection of parameters to build an emulator. It has been validated through several simulation experiments and a nuclear physics reaction model.
Article
Environmental Sciences
Zahir Nikraftar, Esmaeel Parizi, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani
Summary: Lake Urmia, the second-largest hypersaline lake in the world, has seen a rise in water level in recent years, but it is still uncertain whether it is due to restoration plan activities or natural climate changes. Research suggests that different lakes are influenced by precipitation, with improvements in lake conditions related to cumulative precipitation in preceding months.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Article
Water Resources
Esmaeel Parizi, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani, Zahir Nikraftar
Summary: This study investigated the hydraulic interactions between Lake Urmia (LU) and the aquifers, providing a method to quantify this interaction. The results showed that the groundwater flux controls a significant portion of the lake's water storage. Understanding the hydraulic interaction between LU and the aquifers is crucial for sustainable management.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2022)
Article
Environmental Sciences
Fatemeh Ghazipour, Najmeh Mahjouri
Summary: This study introduces a new methodology for improving seasonal drought forecasting results by developing a BMEF model that combines forecasts from four individual data-driven models. By analyzing climate signals and using uncertainty analysis methods, the reliability of seasonal drought forecasting can be enhanced.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Correction
Chemistry, Multidisciplinary
Asieh Sadat Kazemi, Ali Akbar Noroozi, Anousha Khamsavi, Ali Mazaheri, Seiyed Mossa Hosseini, Yaser Abdi
Article
Geosciences, Multidisciplinary
Shokoufeh Khojeh, Behzad Ataie-Ashtiani, Seiyed Mossa Hosseini
Summary: This study evaluated the efficiency of different Digital Elevation Models (DEMs) in simulating flood inundation areas. The results showed that ALOS and SRTM-30 m performed better in terms of accuracy, while ASTER showed the worst performance. These findings can be used as a basis for selecting DEM sources for flood inundation mapping.
Article
Engineering, Civil
Bahador Zarei, Esmaeel Parizi, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani
Summary: This study developed a groundwater sustainable management index that includes components of environmental, social, economic, and institutional responsibility. Four significant indicators were adopted and executed to evaluate 443 of Iran's aquifers. The results showed that 32% of Iran's aquifers have poor-very poor groundwater sustainable management, and the index is more sensitive to economic and social indicators. Additionally, there was an inverse correlation between the groundwater sustainable management index values and the coefficient of variation of the normalized difference vegetation index.
WATER INTERNATIONAL
(2022)
Article
Environmental Sciences
Esmaeel Parizi, Shokoufeh Khojeh, Seiyed Mossa Hosseini, Yaser Jouybari Moghadam
Summary: This study investigated the impact of UAV DEM resolution on flood characteristics and quantified the errors of global DEMs using UAV DEM measurements. The results showed that decreasing UAV DEM resolution led to an increase in inundation area and mean flow depth, while mean flow velocity decreased. The validation demonstrated that the HEC-RAS 2D model in conjunction with UAV DEM accurately simulated the flood. Comparing global DEMs, TDX DEM performed better, particularly in terms of inundation area.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Civil
Seyed Mostafa Mousavi, Behzad Ataie-Ashtiani, Seiyed Mossa Hosseini
Summary: This study compared statistical approaches and multi-criteria-decision-making (MCDM) in flood hazard susceptibility mapping (FHSM) and evaluated their performance in a case study in northern Iran. The results showed that the MCDM approach outperformed statistical methods in predicting flood risk.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Fatemeh Geravand, Seiyed Mossa Hosseini, Mehran Maghsoudi, Mojtaba Yamani
Summary: This study focuses on the quantitative and qualitative characterization of karst aquifers in the Zagros Mountains region in western Iran. By using state-of-the-art statistical methods, the researchers analyzed spring recession hydrograph and spring water quality to gain insights into the karst aquifers. The results showed that these resources are crucial for the region and the majority of the studied aquifers have a high degree of karstification.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Environmental Sciences
Amir-Reza Sadeghi, Seiyed Mossa Hosseini
Summary: Demarcation of potentially favorable zones for groundwater artificial recharge (GAR) is crucial for preventing saltwater intrusion and ensuring sustainability of groundwater resources in arid regions. This study developed an overlay-index methodology using ArcGIS to delineate these zones based on 11 influential factors. The methodology was applied to two coastal aquifers in Central Iran, and the resulting GAR map showed high accuracy in identifying suitable areas for GAR. The study also estimated the water requirement for GAR to control seawater intrusion in these aquifers, providing valuable information for managers in arid regions.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Engineering, Civil
Mehdi Bagheri-Gavkosh, Seiyed Mossa Hosseini
Summary: Flood seasonality analysis is crucial for identifying hydrologically homogenous regions and understanding flood risk in arid regions. This study analyzed the seasonality of annual maximum floods in 291 stations across Iran and examined the relationships between flood season and various factors. The findings showed strong seasonality in flooding, with a significant difference between northern and southeastern regions. The study suggests that the geographical location of the hydrometric station, particularly latitude, plays a more significant role in shaping flood seasonality.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Seiyed Mossa Hosseini
Summary: This study investigated the use of a nonpumping reactive wells (NPRWs) system with a mixture of granular activated carbon (GAC) and microscale zero-valent iron (MZVI) for the treatment of nitrate-contaminated groundwater. Batch experiments were conducted to determine the reduction kinetics of nitrate and phosphate in water. The results showed that the GAC-based NPRWs achieved a 0.6% g(-1) reduction rate for nitrate, while the mixed MZVI/GAC achieved a higher efficiency of 5.5% g(-1). The use of mixed MZVI/GAC in NPRWs resulted in minimal changes in pH and EC of the groundwater outflows.
CLEAN-SOIL AIR WATER
(2023)
Article
Environmental Sciences
Sorour Sheibani, Behzad Ataie-Ashtiani, Ammar Safaie, Seiyed Mossa Hosseini
Summary: The dynamic evolution of storage volume and salinity of Lake Urmia was investigated. A coupled mathematical model considering the two-way effect of salt and water balance components was developed to estimate the groundwater flux. The results showed significant salt precipitation and decreased evaporation during the lake shrinkage period, while the rising water level resulted in salt dissolution and decreased salinity in the following years.
JOURNAL OF GREAT LAKES RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Zahir Nikraftar, Esmaeel Parizi, Mohsen Saber, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani, Craig T. Simmons
Summary: This study utilizes remote-sensing hydrological data and reanalyzed ERA5-Land data to conduct a comprehensive spatiotemporal and sustainability analysis of freshwater availability and wet/dry periods in the Middle East. The results reveal a significant decline in groundwater storage and highlight the unsustainable nature of the majority of basins in the region. These findings are crucial for mitigating drought risks in a region with limited ground-data sources.
HYDROGEOLOGY JOURNAL
(2023)
Article
Water Resources
Asal Golpaygani, Amirreza Keshtkar, Naser Mashhadi, Seiyed Mossa Hosseini, Ali Afzali
Summary: This study focuses on the Hablehrood River watershed in the northern part of the Iranian Central Plateau, aiming to find the most economical management scenarios for implementing biological best management practices (BMPs) to solve the runoff issue. The study uses SWAT and GA models to determine the best biological management practice with the highest runoff reduction and the lowest possible cost.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
