Article
Environmental Sciences
Bewuket B. Tefera, Haimanote K. Bayabil, Zhaohui Tong, Fitsum T. Teshome, Peng Wenbo, Yuncong C. Li, Niguss Solomon Hailegnaw, Bin Gao
Summary: Salinity affects over 33% of irrigated farmland globally. Developing a low-cost, safe, and effective material as a soil salinity mitigation option would be of significant importance. This study proposed to synthesize a hydrogel using liquefied biomass from sugarcane bagasse, polyvinyl alcohol, and sodium tetraborate decahydrate. The effectiveness of the produced hydrogel in mitigating soil salinity was evaluated based on an incubation experiment at two salinity levels (5 and 10 dS m-1).
Article
Geosciences, Multidisciplinary
Seyma Akca, Oguz Gungor
Summary: Soil salinity, caused by natural processes or human activities, brings economic and social problems. This study used deep learning-based U-NET algorithm and multispectral images to investigate soil salinity in the Harran Plain, Turkey. The results show that the deep learning architecture achieved higher accuracy in detecting soil salinity compared to the SVM method.
Article
Biology
Gederts Ievinsh, Una Andersone-Ozola, Astra Jekabsone
Summary: The aim of this study was to compare the changes in growth, ion accumulation and tissue water content in different salt-tolerant plants subjected to NaCl and KCl salinity. The results showed that different plants had varying responses to salt stress, but the effects of NaCl and KCl on plant growth were mainly due to the action of ions.
Article
Geosciences, Multidisciplinary
Mamoun A. Gharaibeh, Ammar A. Albalasmeh, Ali El Hanandeh
Summary: The research demonstrates a novel approach using neural networks to improve the accuracy of estimating ECe, incorporating location-specific parameters to handle heteroscedasticity in data. This approach outperformed traditional methods and showed promise for better management of agricultural soils. While the study used a specific location as a case study, the approach is generalizable to other locations.
Article
Agronomy
Van Hong Nguyen, Joern Germer, Folkard Asch
Summary: The study evaluates topsoil salinity in the Vietnam Mekong Delta and explores a potential link between topsoil salinity and rice production systems. The results highlight the usefulness of geophysical methods in assessing and monitoring soil salinity at an agricultural scale, providing valuable insights for agricultural production.
JOURNAL OF AGRONOMY AND CROP SCIENCE
(2023)
Article
Genetics & Heredity
Maria Lie Selle, Ingelin Steinsland, Finn Lindgren, Vladimir Brajkovic, Vlatka Cubric-Curik, Gregor Gorjanc
Summary: The study presents a hierarchical haplotype network model that estimates haplotype effects based on phylogenetic relationships, improving estimation compared to an independent haplotype model, especially for specific haplotypes with few observations. By utilizing hierarchical autoregression to model information flow between similar haplotypes, the model shows potential to capture background specific effects and performs comparably to a mutation model. Demonstrated with a study on mitochondrial haplotype effects on milk yield in cattle, the model is provided with R code for fitting using the INLA package.
FRONTIERS IN GENETICS
(2021)
Article
Engineering, Multidisciplinary
Mohsin Ali Khan, M. Izhar Shah, Muhammad Faisal Javed, M. Ijaz Khan, Saim Rasheed, M. A. El-Shorbagy, Essam Roshdy El-Zahar, M. Y. Malik
Summary: Modeling surface water quality using artificial intelligence-based models is essential and challenging. This article presents a methodology using Random Forest to optimize modeling inputs and reduce complexity, specifically for modeling surface water salinity in the upper Indus River basin. The proposed approach utilizes various water quality parameters measured over a 30-year period and evaluates model performance using statistical indicators.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Mohammad Rafie Rafiee, Hamid Zareifard, Mehdi Mahbod, Mahmood Mahmoodi-Eshkaftaki
Summary: This study introduces multilevel Gaussian factor models to jointly model multivariate groundwater data and evaluates their performance in estimating water quality. The GF2 model outperforms ordinary Kriging in joint modeling of EC and Mg + Ca + Na, and the best fitting is obtained under Gaussian and Matern covariance functions. The spatial variation patterns obtained by the multilevel Gaussian factor model and Kriging show a notable resemblance in both EC and SAR variables. The cultivable area estimated by the two models are not significantly different.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Chemistry, Analytical
Georgios Kargas, Nikolaos Ntoulas, Andreas Tsapatsouli
Summary: The irrigation of green roofs with recycled or saline water can help save valuable drinking water. Monitoring the substrate electrical conductivity (ECsw) is crucial for the sustainable growth of plants on green roofs. This study estimated the ECsw of an extensive green roof substrate using the WET-2 dielectric sensor. The use of the salinity index method reliably predicted the ECsw up to 10-11 dS m(-1), but overestimated it at very low electrical conductivity levels.
Article
Engineering, Industrial
Linhan Ouyang, Chanseok Park, Yan Ma, Yizhong Ma, Min Wang
Summary: This paper introduces a Bayesian hierarchical modelling approach and SUR model for process optimisation, aiming to improve efficiency through model selection and estimation. Additionally, a two-stage optimisation strategy considering practitioners' preference information is proposed to find the best settings and compare them with an ideal solution method.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Mechanical
M. R. Jones, T. J. Rogers, K. Worden, E. J. Cross
Summary: This paper presents a Bayesian source localization strategy that is robust to complexities in locating damage within composite materials and structures, learning the relationship between source locations and time differences of arrival through a Gaussian process, generating likelihood mappings for emission locations, offering more informative strategies than deterministic predictions, and demonstrating favorable performance in structures with complex geometrical features compared to other similar methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Environmental Studies
Billal Hossen, Helmut Yabar, Jamal Faruque
Summary: Soil salinity is a significant problem for the coastal region of Bangladesh, and this study aimed to assess the soil salinity using remote sensing techniques. The findings indicate that the current soil salinity indices are insufficient for accurate assessment. Alternative geospatial approaches should be explored.
Article
Engineering, Geological
Yu Feng, Ke Gao, Arnaud Mignan, Jiawei Li
Summary: A novel Bayesian hierarchical model is proposed to quantify uncertainty in local mean stress estimation and improve estimation results at different locations. The improved probabilistic estimation not only can be applied to other analyses involving mean stresses, but also provides more accurate results.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Byeong-Hun Woo, Dong-Ho Yoo, In-Kyu Jeon, Jee-Sang Kim, Kyung-Suk Yoo, Hong Gi Kim
Summary: In this study, an equation for predicting the thermal conductivity of cement composites was proposed and estimated using Gaussian process regression. The application of experimental data resulted in highly accurate predictions, demonstrating its effectiveness in existing research.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Mathematics
Junbo Zhang, Daoji Li, Yingzhi Xia, Qifeng Liao
Summary: This paper proposes a new two-step approach to estimate 1-km-resolution PM2.5 concentrations in Shanghai using satellite data. The approach refines AOD data to a higher resolution using a Bayesian retrieval method and then uses a hierarchical Gaussian process model to estimate PM2.5 concentrations. The results show accurate predictive performance of the proposed approach.
Article
Statistics & Probability
Somnath Chaudhuri, Pablo Juan, Jorge Mateu
Summary: Using accident records in an urban environment, this study develops a spatio-temporal model to predict the number of traffic collisions and generate risk maps for the entire road network. The use of SPDE network triangulation to estimate spatial autocorrelation on a linear network is a novel approach. The resulting risk maps offer valuable information for accident prevention and interdisciplinary road safety measures.
JOURNAL OF APPLIED STATISTICS
(2023)
Article
Engineering, Environmental
Asael Fabian Martinez, Somnath Chaudhuri, Carlos Diaz-Avalos, Pablo Juan, Jorge Mateu, Ramses H. Mena
Summary: An unsupervised classification method is proposed for point events occurring on a geometric network. It utilizes the flexibility and practicality of random partition models to discover clustering structures of observations from a specific phenomenon on a given set of edges. By incorporating spatial effects through a random partition distribution induced by a Dirichlet process, the method offers an appealing clustering approach. A Gibbs sampler algorithm is proposed and evaluated with sensitivity analysis. The analysis of crime and violence patterns in Mexico City serves as the motivation and illustration for this proposal.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Green & Sustainable Science & Technology
Teresa Rodriguez-Espinosa, Jose Navarro-Pedreno, Ignacio Gomez Lucas, Maria Belen Almendro Candel, Ana Perez Gimeno, Manuel Jordan Vidal, Iliana Papamichael, Antonis A. Zorpas
Summary: Soil nutrient imbalance is a global threat to food security and ecosystem sustainability. However, adding organic residues or constructing anthropogenic soils can optimize it. The heavy metal content in organic residues is a concern, but little is known about the potential heavy metal risk of pruning residues applied to soil. This study characterizes the elemental composition and solubility of heavy metals in various organic residues and compares them to legal frameworks governing heavy metal content in agricultural substrates. The results show minimal heavy metal risk in pruning residues, making them suitable for organic fertilization plans.
Article
Chemistry, Multidisciplinary
Teresa Rodriguez-Espinosa, Jose Navarro-Pedreno, Ignacio Gomez Lucas, Maria Belen Almendro Candel, Ana Gimeno, Antonis A. A. Zorpas
Summary: Member States of the European Union are required to ban burning arable stubble by 2023 and improve the recycling of organic waste into fertilizers and organic farming practices by 2030. This is because the current lack of nutrients from soils and crops leads to food insecurity, human malnutrition, and diseases. Therefore, innovative solutions using waste as technosols are needed. The objective of this paper is to educate on the potential nutrients provided by pruning residues. The study characterizes the elemental composition, solubility of nutrients, and physical and chemical properties of various organic wastes. Results show significant differences in nutrient content and solubility, with sewage sludge compost, olive pruning, and pine needle residue having the highest nutrient presence. However, it is important for farmers to consider the short-term soluble nutrient rate and synchronize it with a plant's nutrient requirement during its life cycle when applying pruning residues as a nutritional supplement. The study also highlights the significance of organic waste's solubility in providing short-term nutrients to crops, particularly K, Ca, Mg, and Na for efficient biofertilization.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Environmental
Ignacio Melendez-Pastor, Otoniel M. Lopez-Granado, Jose Navarro-Pedreno, Encarni I. Hernandez, Manuel Jordan M. Vidal, Ignacio Gomez Lucas
Summary: This study investigates the presence and persistence of DDT-DDE in a Mediterranean coastal plain and analyzes the environmental factors that influence its spatial distribution in watercourses. Machine learning techniques were used to classify DDT-DDE concentration levels based on other environmental variables. The results show that distance to drain canals, soil electrical conductivity, and soil sand texture fraction are the most informative variables for predicting DDT-DDE water concentration clusters.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2023)
Article
Environmental Sciences
Teresa Rodriguez-Espinosa, Iliana Papamichael, Irene Voukkali, Ana Perez Gimeno, Maria Belen Almendro Candel, Jose Navarro-Pedreno, Antonis A. Zorpas, Ignacio Gomez Lucas
Summary: Population growth leads to increased demand for resources, which exceeds the Earth's limited capacity. Sustainable organic farming can reduce the use of inorganic fertilizers and utilize organic waste for plant nutrition. The combination of organic and inorganic fertilization is recommended to increase crop yield, and practical methods for managing organic waste within a circular economy are needed.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Soil Science
Ouafa Othmani, Kamel Khanchoul, Sana Boubehziz, Hamza Bouguerra, Abderraouf Benslama, Jose Navarro-Pedreno
Summary: This study analyzed the spatial variability of soil erodibility using a digital elevation model and soil sample data in the Rhirane catchment. The K-value and soil physical properties were used to create interpolation maps. The results showed significant differences in soil organic matter content between different soil types and correlations between soil erodibility and various factors such as particle size, organic matter, and permeability.
Article
Green & Sustainable Science & Technology
Sonia Sandez, Valeria Ibanez-Fores, Victoria Perez-Belis, Pablo Juan, Maria D. Bovea
Summary: Repair is an important strategy in the circular economy to extend the lifespan of products. A study on consumer practices towards electric and electronic equipment (EEE) showed a lack of maintenance and low reparability levels. However, there is a future willingness to repair these items if manufacturers provide means to do so.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Environmental Sciences
Teresa Rodriguez-Espinosa, Ana Gimeno, Maria Belen Almendro Candel, Ignacio Gomez Lucas, Jose Navarro-Pedreno
Summary: In water-deficient regions, the quality constraints of agricultural runoff, drainage water or surplus irrigation water need to be considered. This study focuses on a nature-based water treatment system using anaerobic bioreactors with horizontal or vertical flow. Different wastes were used as bioreactor components to enhance the circular economy strategy. The research aimed to monitor the water quality before and after treatment and found reductions in most parameters, especially nitrogen with the combination of coarse sand and almond pruning as a filter bed in horizontal water flow. Further research is needed to achieve reductions in all studied parameters.
Article
Green & Sustainable Science & Technology
Hamza Bouguerra, Salah Eddine Tachi, Hamza Bouchehed, Gordon Gilja, Nadir Aloui, Yacine Hasnaoui, Abdelmalek Aliche, Saadia Benmamar, Jose Navarro-Pedreno
Summary: The study aimed to compare the performance of four machine learning techniques in predicting the occurrence of erosion in the Macta basin, northwestern Algeria. By utilizing multi-source data in a GIS environment, the erosion factors in the area were determined. The results revealed that machine learning and deep learning, as well as stacking ensemble techniques, showed outstanding performance with an accuracy over 98%.
Review
Construction & Building Technology
Pablo Pulgar Rubilar, Manuel M. Jordan Vidal, David Blanco Fernandez, Marisol Osorio Ramirez, Luis Perillan Torres, Marcela Lizana Vial, Danny Lobos Calquin, Francisco Pardo Fabregat, Jose Navarro Pedreno
Summary: This documentary review aimed to investigate the scientific production on environmental analysis tools and certifications for sustainable cities and communities between 2016 and 2023. The analysis of 27 selected review articles revealed the outcomes, limitations, trends, and future predictions of sustainability measures, as well as specific strategies applicable to local realities.
Article
Soil Science
Luis D. Olivares-Martinez, Alberto Gomez-Tagle, Jorge Mataix-Solera
Summary: The forest floor plays a crucial role in maintaining forest ecosystems. This study investigates the long-term effects of surface and ground fires on the infiltration capacity of volcanic forest soil. The results show that fire recurrence and type have a non-linear relationship with soil water repellency and hydraulic conductivity.
SPANISH JOURNAL OF SOIL SCIENCE
(2023)
Review
Soil Science
Manuel Miguel Jordan Vidal
Summary: Since the 1980s, there has been an increased environmental sensitivity, leading to an improved understanding of the role of soil in ecosystems. European soils, especially those in the Mediterranean region, have been heavily impacted by human activity. The assessment of soil quality requires continuous information and measurable indicators. Consensus and guidelines are needed for the concept of soil quality and environmental indicators. Assessing soil quality is crucial for effective soil management.
Article
Geochemistry & Geophysics
Om Prakash Kumar, Amiya S. Naik, P. Gopinathan, T. Subramani, Vishvajeet Singh, Prakash K. Singh, Uma K. Shukla, Arun Prabhu
Summary: This study characterizes lignite samples from Kapurdi, Giral, and Sonari mines in Rajasthan's Barmer Basin using petrographic and geochemical techniques. The results provide insights into the geochemical properties, hydrocarbon potential, depositional environment, and paleo-climatic conditions of these lignite deposits. The study finds high volatile matter and sulfur concentrations in the Barmer lignite deposits, as well as indications of a wet environment during organic material decomposition. The findings have implications for understanding the coalification profile and hydrocarbon source rock potential in the region.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2024)
Review
Geochemistry & Geophysics
Ashkan Jahandari, Behnam Abbasnejad
Summary: The assessment of heavy metal concentrations in agricultural soil is important for crop safety and quality, as well as potential risks to human health. This review analyzed published data on seven heavy metals in Iranian farmland soils and found that nickel and cadmium exceeded permissible levels. Arsenic showed significant contamination in multiple provinces, while lead and cadmium were highly contaminated in Fars province. Overall, the contamination levels of heavy metals in Iranian agricultural soils were relatively low.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2024)
Article
Geochemistry & Geophysics
Imran Ud Din, Said Muhammad, Shah Faisal, Inayat ur Rehman, Wajid Ali
Summary: The presence of heavy metal contamination in coal mines and surrounding environments in the Hangu and Kurram districts poses potential risks to the environment and human health.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2024)
Article
Geochemistry & Geophysics
Douglas Almeida Silveira, Paola Ferreira Barbosa, Cassiano Costa e Castro, Guilherme Ferreira da Silva, Joseneusa Brilhante Rodrigues
Summary: This study analyzed apatite grains from the Angico dos Dias Carbonatite Complex region in Brazil using an electron probe microanalyzer. The results showed that the apatite grains had characteristics of metacarbonatitic lithotypes and some had undergone substitution processes. Statistical analysis helped identify the sources of the apatite grains and confirmed the presence of carbonatitic bodies in the area.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2024)
