Article
Mathematics
Nasser Madani
Summary: Sequential indicator simulation is a popular algorithm for modeling geological features, but its ability to capture long-range geological features has been a topic of debate. This study proposes an improved Bayesian sequential indicator simulation approach that incorporates soft data and assigns weights to their probabilities. Experimental results demonstrate that this method outperforms other techniques in reproducing long-range geological features while maintaining consistency with other statistical measures.
Article
Computer Science, Interdisciplinary Applications
Fan Zhang, Ray-Bing Chen, Ying Hung, Xinwei Deng
Summary: Gaussian process models are commonly used in computer experiment analysis, but existing solutions for variable selection are unsatisfactory. We propose an indicator-based Bayesian variable selection procedure that considers the effects from both the mean and covariance functions. The performance of this method is evaluated through simulations and real applications in computer experiments.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2023)
Article
Engineering, Environmental
Cheng-Shin Jang
Summary: Assessments of spatiotemporal PM2.5 concentrations in Taiwan were conducted using multivariate indicator kriging. The study found that multivariate integration can streamline the analytic process and the 3-year PM2.5 data is suitable for assessing risk categories. However, the current regulatory standard for annual average PM2.5 of 12 μg/m³ was deemed inappropriate in Taiwan based on the assessment of the 3-year spatiotemporal variability of PM2.5 concentrations.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Geosciences, Multidisciplinary
Khelifa Mohammed, Khedidja Abdelhamid, Hamidi Mansour
Summary: This study aims to assess the vulnerability and pollution risks of the M'leta Plain using the DRASTIC and DRIST methods, and prepare a report based on a thematic map. The results showed that the M'leta Plain is characterized by low to high vulnerability, with almost the entire plain having low to medium vulnerability.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Engineering, Mechanical
Guangyao Zhang, Yi Wang, Xiaomeng Li, Yi Qin, Baoping Tang
Summary: A novel health indicator (HI) based on signal probability distribution measures is proposed in this paper for machinery condition monitoring. It can effectively recognize the state shift of machinery during the degradation process and is robust to transient interferences without complicated model training.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Environmental Sciences
Yaser Nikpeyman, Vahid Nikpeyman, Reza Derakhshani, Amir Raoof
Summary: The study applied GIS indexing and overlay methods to assess groundwater vulnerability in the Mosha aquifer. Findings show that the aquifer is highly responsive to anthropogenic contaminants from urbanized areas, with roads and latrines potentially releasing pollutants into the environment and contaminating groundwater.
Article
Environmental Sciences
Mahdi Majedi-Asl, Mehdi Fuladipanah, Hedi Mahmoudpour, Ebrahim Ebrahimpour, Ozgur Kisi
Summary: In this study, a vulnerability map and genetic algorithm were used to design an optimal monitoring network for the Urmia coastal aquifer. The optimization process considered the correlation between electrical conductivity and vulnerability index, as well as the number and spatial distribution of monitoring wells. The results showed that the chosen weighting coefficient had a significant effect on the optimal solution, resulting in a reduction of 18 wells from the existing network.
GEOCARTO INTERNATIONAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Mehdi Komasi, Hesam Goudarzi
Summary: Optimal groundwater monitoring networks play a crucial role in water resources management. This study presented two scenarios for designing and optimizing monitoring networks using the Kriging method and entropy theory. The first scenario resulted in a network of 12 observation stations found by the non-dominated sorting genetic algorithm, while the second scenario obtained a network with 11 stations determined through entropy theory.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Development Studies
Jessica L'Roe, Diane Detoeuf, Michelle Wieland, Bernard Ikati, Moise Enduyi Kimuha, Francois Sandrin, Odette Angauko Sukari, Junior Nzale Nkumu, Heidi E. Kretser, David Wilkie
Summary: To effectively monitor the quality of life and assess the impacts of interventions, development scholars and practitioners are searching for sensitive and practical methods of measuring well-being. The use of a well-being index derived from locally defined basic necessities, known as the Basic Necessities Survey (BNS), has gained traction among NGOs. Using data from the BNS tool, a Well-being Index (WBI) can be calculated that is relevant and comparable to the local context. Findings from a survey conducted in the Ituri Region of the Democratic Republic of the Congo demonstrate the lower well-being scores among vulnerable and marginalized groups, and the sensitivity of the WBI to detect short-term changes. This approach offers a locally informed and multidimensional well-being metric for low-income regions.
Article
Energy & Fuels
Xiaoxia Liang, Fang Duan, Ian Bennett, David Mba
Summary: This study proposes a system health indicator for large rotating machinery in the oil and gas industries. The indicator uses dynamic risk profile, financial loss, and fault probability for maintenance and fault prevention. Through fault detection and risk assessment, it enables early fault detection and assists in effective operational decision-making.
Article
Water Resources
Praveen Kumar Kannojiya, Ashwani Raju, Anjali Singh, Nupur Srivastava, Sandeep Singh, Munendra Singh
Summary: This study used the 'Indicator Kriging' approach to assess health risks from trace elements concentration in drinking water resources in the Central Ganga Alluvial Plain of northern India. The results indicate potentially alarming health risks in urban areas, which account for a significant percentage of the population and area, pointing to the need for substantial remediation measures.
URBAN WATER JOURNAL
(2022)
Article
Mechanics
Daniel Resende Goncalves, Jose dos Reis Vieira de Moura Jr, Paulo Elias Carneiro Pereira, Marcos Vinicius Agapito Mendes, Henrique Senna Diniz-Pinto
Summary: Nondestructive techniques in SHM have improved significantly over the past decades, with EMI-SHM being tested in various fields. The study proposes using the indicator kriging method to predict the existence of damage in the center of a structure, showing reduced reliability with increasing spacing between sensors/actuators. Ultimately, the results demonstrate the potential of this approach in mapping out damaged areas and predicting their location.
COMPTES RENDUS MECANIQUE
(2021)
Article
Psychology, Applied
Xiaofeng Zhou, Xu Zhao, Ninghao Sun, Dongdong Wang, Ruipeng Tong
Summary: This study constructs a new and direct method to assess miners' occupational health and well-being. The severity of the consequences of inadequate organizational response is identified as the dominant factor. The study provides an innovative and complete description of the interaction mechanisms among job stress, job burnout, and health outcomes, as well as evidence-based recommendations for stress and health management in the mining industry.
Article
Geosciences, Multidisciplinary
Mohamadreza Shad Salanghouch, Mohammad Emami Niri
Summary: An inverse framework based on Bayes' theorem is proposed for integrating well logs and seismic data into the reservoir lithofacies modeling process in this paper. The method combines Sequential Indicator Simulation (SIS) with a stochastic optimization method (Probability Perturbation Method (PPM)), and utilizes a Genetic Algorithm's crossover operator to enhance the PPM exploitation ability. Application of this approach on a 3D test model shows significant improvement in consistency and matching of lithofacies models compared to traditional constraining approaches.
Article
Chemistry, Organic
Fatemeh Valizadeh Kakhki, Mohamad Pauzi Zakaria, Mehdi Mohammadi, Ahmad Zaharin Aris, Hassan Tajik
POLYCYCLIC AROMATIC COMPOUNDS
(2020)
Article
Environmental Sciences
Nur Afifah Hanun Ismail, Sze Yee Wee, Didi Erwandi Mohamad Haron, Nitty Hirawaty Kamarulzaman, Ahmad Zaharin Aris
MARINE POLLUTION BULLETIN
(2020)
Article
Plant Sciences
Murtala Dangulla, Latifah Abd Manaf, Mohammad Firuz Ramli, Mohd Rusli Yacob
URBAN FORESTRY & URBAN GREENING
(2020)
Article
Chemistry, Applied
Muhammad Raznisyafiq Razak, Nor Azah Yusof, Ahmad Zaharin Aris, Hanisah Mohmad Nasir, Md. Jelas Haron, Nor Azowa Ibrahim, Ili Syazana Johari, Sazlinda Kamaruzaman
REACTIVE & FUNCTIONAL POLYMERS
(2020)
Article
Environmental Sciences
Hazzeman Haris, Ahmad Zaharin Aris, Mazlin Bin Mokhtar, Ley Juen Looi
Article
Engineering, Environmental
Sze Yee Wee, Didi Erwandi Mohamad Haron, Ahmad Zaharin Aris, Fatimah Md Yusoff, Sarva Mangala Praveena
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2020)
Article
Construction & Building Technology
Ali Ahmad, Kazem Fakharian
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2020)
Article
Engineering, Geological
Kazem Fakharian, Nasrin Vafaei
Summary: This study focuses on the reduction in sand-pile skin friction with initial relative density increment from medium to dense. By simulating the frictional behavior of a sand-pile interface, the study examines the effects of initial relative density of sand, initial normal load, and constant normal stiffness on the magnitude of the pile skin friction. The results indicate that the mobilized shear stress at failure significantly depends on the shear stress state with respect to the inflexion point on the volume change graph.
CANADIAN GEOTECHNICAL JOURNAL
(2021)
Article
Engineering, Environmental
Azim Haziq Zainuddin, Sze Yee Wee, Ahmad Zaharin Aris
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2020)
Article
Engineering, Geological
Davood Akbarimehr, Kazem Fakharian
Summary: The study investigated the effects of rubber content on the geotechnical properties of clay-rubber mixture, with results indicating that 10% rubber content achieved the highest damping ratio. Increasing rubber content and shear strain amplitude led to a decrease in shear modulus, while using rubber powder enhanced the damping ratio.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Engineering, Geological
Kazem Fakharian, Ali Ahmad
Summary: The study shows that adding granulated rubber decreases shear modulus and increases damping ratio of granulated rubber-sand mixtures, while also helping to reduce the degradation rate of shear modulus. Anisotropic consolidation has little effects on the variations of shear modulus and damping ratio of sand-rubber mixtures.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Engineering, Geological
Kazem Fakharian, Aref Pilban
Summary: This study conducted pullout tests on conventional and diagonally enhanced geocells, finding that the diagonally enhanced geocells showed significantly better stiffness and ultimate resistance compared to conventional geocells. Experiments on sand further demonstrated that the bearing capacity and load-settlement response of footings supported by the diagonally enhanced geocells were improved in comparison to conventional geocells.
GEOTEXTILES AND GEOMEMBRANES
(2021)
Article
Engineering, Civil
Nasrin Vafaei, Kazem Fakharian, Abouzar Sadrekarimi
Summary: Sand-steel interface behavior differs from sand-sand interface behavior, with sand density having a significant effect on interface shear behavior. Sand-steel interfaces are less dilative and exhibit smaller critical shearing displacements compared to sand-sand interfaces, with sliding displacement prevailing at higher sand densities. Interface friction angle is influenced by inter-particle shear resistance, particle crushing, and particle rearrangement/rotation mechanisms.
TRANSPORTATION GEOTECHNICS
(2021)
Article
Engineering, Geological
Farzad Kaviani-Hamedani, Kazem Fakharian, Ali Lashkari
Summary: Continuous bidirectional shear wave velocity measurements were conducted on triaxial soil specimens to investigate fabric evolution during shearing, revealing severe soil anisotropy at the critical state. A new fabric function considering soil fabric's influence on elastic moduli was proposed, showing unique anisotropic fabric at the critical state.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2021)
Article
Engineering, Geological
Seyed Ali Asghari Pari, Ghassem Habibagahi, Arsalan Ghahramani, Kazem Fakharian
INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING
(2020)
