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Geotechnical Frontiers 2025: Geotechnics of Natural Hazards

作者： Ji, Xiaohang Xiao, Ming Martin, Eileen Dept. of Civil and Environmental Engineering Pennsylvania State Univ. University ParkPA United States Dept. of Geophysics Dept. of Applied Math and Statistics Hydrologic Science and Engineering Program Colorado School of Mines GoldenCO United States

ISBN: (数字)9780784485996

Increasing air temperatures are driving permafrost warming across the Arctic and sub-Arctic. This in turn degrades the geomechanical properties of soils, disrupts the natural environment and infrastructure systems, and results in long-lasting societal impacts. Understanding the thermal state of degrading permafrost in the Arctic is crucial for maintaining resilient infrastructure in the changing Arctic. This study employs Distributed Temperature Sensing (DTS) to monitor permafrost temperature near Utqiaġvik, Alaska, from 2021 to 2024. Fiber-optic DTS sensors have unique and attractive characteristics that allow their deployment in the Arctic for low-maintenance, cost-effective, and high-resolution data. This paper presents the temperature recordings of a 2-km DTS system on the tundra near Utqiaġvik, Alaska, by the Elson Lagoon. A hysteresis model is developed to link permafrost temperature with air temperature, incorporating meteorological data and ground surface conditions. The study also explores the impact of civil infrastructure on permafrost thermal dynamics. © ASCE.

关键词： Permafrost

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Advancements in sludge-to-energy strategies for rubber processing industries: a comprehensive review

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International Journal of Energy and Water Resources 2025年第2期9卷 1189-1199页

作者： Tin, K.K. Taweepreda, W. Singh, A. Kumar, A. Environmental Management Faculty of Environmental Management Prince of Songkla University Hat-Yai Songkhla 90110 Thailand Polymer Science Program Division of Physical Science Faculty of Science Prince of Songkla University Hat-Yai Songkhla 90110 Thailand Department of Zoology Swami Shraddhanand College University of Delhi Delhi 110036 India Department of Mechanical Engineering Delhi Technological University Delhi 110042 India Nodal Centre of Excellence in Energy Transition (NCEET) Delhi Technological University Delhi 110042 India

This study explores the energy potential of rubber sludge, highlighting its calorific value (13.92–22.15 MJ/kg) and significant organic content, making it a promising feedstock for renewable energy. Techniques such as pyrolysis, anaerobic digestion, combustion, and gasification can effectively harness this potential. Comparative analysis indicates that rubber sludge has an energy recovery potential comparable to or even higher than lignite. Thermochemical processes, including hydrothermal liquefaction and gasification, offer benefits such as reduced waste toxicity and volume, alongside energy and material recovery. However, challenges such as high costs, technical difficulties, and potential pollutant emissions persist. Cost–benefit analyses indicate economic feasibility under specific conditions like high conversion efficiency and favorable policies. Current global practices in rubber sludge management vary, with countries like Denmark, Germany, and Sweden implementing advanced treatments, while others face challenges in coordination and technology. Future research emphasizes improving conversion technologies and integrating hybrid energy systems to enhance energy recovery and reduce environmental impact. The study underscores the importance of life cycle assessments in optimizing the sustainability of rubber sludge-to-energy processes and advocates for innovative approaches through Design Thinking to develop tailored solutions. This comprehensive review highlights the potential of rubber sludge as a renewable energy source and provides a framework for future research and policy development. © The Author(s), under exclusive licence to Iranian Society of environmentalists (IRSEN) and science and Research Branch, Islamic Azad University 2024.

关键词： Energy Factory Rubber processing Sludge Sustainable

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Molecular insight of dissolved organic matter and chlorinated disinfection by-products in reclaimed water during chlorination with permanganate preoxidation

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Chemosphere 2024年 349卷 140807页

作者： Hu, Wei Niu, Xi-Zhi Chen, Huan Ye, Bei Liang, Jun-Kun Guan, Yun-Tao Wu, Qian-Yuan Environmental Protection Key Laboratory of Microorganism Application and Risk Control Guangdong Provincial Engineering Research Center for Urban Water Recycling and Environmental Safety Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Environmental Engineering and Science Program Department of Chemical and Environmental Engineering University of Cincinnati CincinnatiOH45221 United States Department of Environmental Engineering and Earth Science Clemson University SC29634 United States

Permanganate is a common preoxidant applied in water treatment to remove organic pollutants and to reduce the formation of disinfection by-products. However, the effect of permanganate preoxidation on the transformation of dissolved effluent organic matter (dEfOM) and on the formation of unknown chlorinated disinfection by-products (Cl-DBPs) during chlorination remains unknown at molecular level. In this work, the molecular changes of dEfOM during permanganate preoxidation and subsequent chlorination were characterized using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Permanganate preoxidation was found to decrease the DBE (double bond equivalent) and AImod (modified aromaticity index) of the dEfOM. The identity and fate of over 400 unknown Cl-DBPs during KMnO4-chlorine treatment were investigated. Most Cl-DBPs and the precursors were found to be highly unsaturated aliphatic and phenolic compounds. The Cl-DBPs precursors with lower H/C and lower O/C were preferentially removed by permanganate preoxidation. Additionally, permanganate preoxidation decreased the number of unknown Cl-DBPs by 30% and intensity of unknown Cl-DBPs by 25%. One-chlorine-containing DBPs were the major Cl-DBPs and had more CH2 groups and higher DBEw than Cl-DBPs containing two and three chlorine atoms. 60% of the Cl-DBPs formation was attributed to substitution reactions (i.e., +Cl–H, +2Cl–2H, +3Cl–3H, +ClO–H, +Cl2O3–2H). This work provides detailed molecular level information on the efficacy of permanganate preoxidation on the control of overall Cl-DBPs formation during chlorination. © 2023 Elsevier Ltd

关键词： Chlorination

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Nano-enhanced potassium biostimulants: augmenting wheat yield, antioxidant activity, and micronutrient bioavailability in arid agricultural systems

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Nanotechnology for environmental engineering 2025年第2期10卷 1-14页

作者： Shahryari, Ali Esmaeilzadeh Bahabadi, Sedigheh Beyzaei, Hamid Mohammadi, Yasaman Nusrat, Easmin Sharifan, Hamidreza Department of Biology Faculty of Basic Sciences University of Zabol Zabol Iran Department of Chemistry Faculty of Basic Sciences University of Zabol Zabol Iran Environmental Science and Engineering Program University of Texas at El Paso El PasoTX United States Department of Chemistry and Biochemistry University of Texas at El Paso El PasoTX United States

The development of agricultural biostimulants (BS) has marked a significant advancement in bolstering crop resilience against environmental stressors. This study investigates synthesizing and applying six novel nano-based potassium (K)-enriched biostimulants that enhance micronutrient availability, nitrogen uptake, and subsequent plant growth during seed germination and developmental phases. Using Nuclear Magnetic Resonance (NMR) and Fourier-transform infrared Spectroscopy (FTIR), the synthesized biostimulants were characterized before their application in soil-supporting wheat (Triticum aestivum L.) cultivation. The biostimulants’ effects at three concentrations (0.1, 0.2, and 0.5 mmol) and were evaluated on physiological and biomolecular parameters. To assess nutrient availability, soil mineral content was analyzed via X-ray Photoelectron Spectroscopy (XPS). An increase in biostimulant concentration led to a marked rise in seed germination rates, correlating with elevated bioavailability of nitrates, ammonia, sulfur, potassium, and other key micronutrients. At a threshold concentration of 0.2 mmol, a notable improvement in the bioavailability of nutrients and a significant increase in the total phenol and flavonoid content was observed. The phenolic content was measured using the Folin-Ciocalteu method and expressed as Gallic Acid Equivalents (GAE), while flavonoids were quantified based on quercetin equivalents. These phytochemicals were correlated with enhanced antioxidant activities, measured using the Ferric Reducing Antioxidant Power (FRAP) assay. The results indicated an 80% increase in antioxidant capacity, particularly for biostimulant BS6 at the 0.2 mmol concentration. Furthermore, biostimulants demonstrated a positive effect on the elongation of radicles and plumules, contributing to improved plant vigor. Overall, the study highlights the potential of synthesized K-based biostimulants to significantly enhance crop productivity, nutrient uptake, and antio

关键词： Fourier transform infrared spectroscopy

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Geophysical Constraints on Decarbonized Systems—Building Spatio-Temporal Uncertainties into Future Electricity Grid Planning

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Current Sustainable/Renewable Energy Reports 2023年第4期10卷 218-233页

作者： Chowdhury, Afm Kamal Wild, Thomas Deshmukh, Ranjit Iyer, Gokul Galelli, Stefano Earth System Science Interdisciplinary Center University of Maryland College ParkMD20740 United States College ParkMD20740 United States Environmental Studies Program University of California Santa Barbara Santa BarbaraCA93106 United States Bren School of Environmental Science and Management University of California Santa Barbara Santa BarbaraCA93106 United States School of Civil and Environemntal Engineering Cornell University IthacaNY14853 United States

Purpose of Review: Future electricity grids will be characterized by the high penetration of renewables to support the decarbonization process. Yet, this transition will further expose grids to a broad spectrum of geophysical forces, such as weather and climate or the availability of land and minerals. Here, we synthesize the current body of knowledge on the relationship between geophysical constraints and electricity grid planning. Recent Findings: We show that there have been promising advances in the data, methods, and modelling tools needed to incorporate the effect of geophysical constraints on demand, resource availability, and grid operations. However, current research efforts are typically focused on the effect of a single constraint, thereby lacking a broader view of the problem. Summary: More system-specific and finer-scale analyses are necessary to better understand how spatio-temporal variability in geophysical forces affects grid planning. Moreover, we need a broader focus on the multi-sectoral implications of decarbonization efforts, including the societal consequences of grid management decisions. Importantly, all these efforts are challenged by the computational requirements of existing power system models, which often limit our ability to characterize uncertainty and scale analyses across larger domains. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Uncertainty analysis

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Insights of phytoremediation mechanisms for viruses based on in-vitro, in-vivo and in-silico assessments of selected herbal plants

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Chemosphere 2024年 351卷 141101页

作者： Zure, Diaiti David Kuo, Hsion-Wen Drizo, Aleksandra Department of Environmental Science and Engineering Sustainable Science and Management Program Tunghai University Taiwan

Waterborne pathogenic viruses present unrelenting challenges to the global health and wastewater treatment industry. Phytoremediation offers promising solutions for wastewater treatment through plant-based technologies. This study investigated antiviral mechanisms in-vivo using bacteriophages MS2 and T4 as surrogates for effective herbs screened in-vitro from three embryophytes (Ocimum basilicum, Mentha sp., Plectranthus amboinicus), two macrophytes (Eichhornia crassipes, Pistia stratiotes) and a perennial grass (Cyperus rotundas). In-silico virtual screening predicted antiviral phytochemicals for further antiviral potency assessment. Results suggested in-vitro antiviral activities of embryophytes and macrophytes were higher (43–62%) than grass (21–26%). O. basilicum (OB, 57–62%) and P. stratiotes (PS, 59–60%) exhibited the highest antiviral activities. In-vivo tests showed notable virus reduction (>60%) in culture solution, attributed to rhizofiltration (66–74%) and phytoinactivation/phytodegradation (63–84%). In-silico analysis identified rutin as a primary antiviral phytochemical for MS2 (−9.7 kcal/mol) and T4 (−10.9 kcal/mol), correlating with dose-response inactivation (∼58–62%). In-vivo tests suggested additional phytocompounds may contribute to viral inactivation, presenting new opportunities for herb-based wastewater treatment solutions. Consequently, this study not only demonstrates the antiviral capabilities of OB and PS but also introduces an innovative approach for addressing viral contaminants in water. © 2024 Elsevier Ltd

关键词： Antiviral mechanisms Herbal plants Phytoremediation Surrogate viruses Wastewater treatment

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Impact of spatial distribution of light intensity on disinfection kinetics of Mycobacterium smegmatis and E. coli using TiO2-based photocatalyst

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Nanotechnology for environmental engineering 2023年第2期8卷 567-579页

作者： Mandal, Chinmoy Nishad, Vartika Sahu, Manoranjan 507 Aerosol and Nanoparticle Technology Laboratory Environmental Science and Engineering Department Indian Institute of Technology Bombay Powai Mumbai400076 India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai400076 India Centre for Machine Intelligence and Data Science Indian Institute of Technology Bombay Mumbai400076 India

Photocatalysis using various nanomaterials of different characteristics has been investigated with various metrics for achieving optimal efficiency. However, the spatial distribution of light intensities from the light source, a key factor in photocatalysis process and the selection of an appropriate kinetic model for explaining disinfection characteristics of different microorganisms have not been given ample consideration. In this study, a suitable model has been applied to identify spatial distribution of light based on the light source used and applied in the kinetic models to identify the disinfection rate. Disinfection efficiencies of nanoparticles (TiO2 and Cu-doped TiO2) with different light intensities on gram-positive bacteria, Mycobacterium smegmatis and gram-negative bacteria E. coli was evaluated. The kinetic study revealed that Mycobacterium smegmatis fits well with Chick–Watson model, while E. coli fits well with delayed Chick–Watson model. The rate constants (k) were found to be 0.013 min−1 (TiO2), 0.021 min−1 (3%Cu–TiO2) and 0.020 min−1 (Cu2+) for Mycobacterium and 0.019 min−1 (TiO2) for E. coli. From model evaluation, light intensity decreased exponentially from 3.07 µW cm−2 (3 cm) to 0.98 µW cm−2 (6 cm) and 0.10 µW cm−2 (25 cm) resulting in a sharp decline in the inactivation potential;however, the effect was insignificant beyond 10 cm. On doubling the intensity, disinfection efficiency increased by 1.6 log CFUml−1 (TiO2) and 2.4 log CFU ml−1 (Cu–TiO2), but with one-fourth of intensity it decreased by 1.2 log CFUml−1 (TiO2) and 1.8 log CFUml−1 (Cu–TiO2). Therefore, by optimizing the combination of nanoparticles like TiO2 and Cu, light intensity at 6.14 µW cm−2 and optimal spatial distribution of the light source at 3 cm, increased efficiency of microbial disinfection could be achieved. Thus, this study provides an approach to optimize photocatalytic parameters with inclusion of spatial distribution of light intensity for enhancing the photocatalyt

关键词： Titanium dioxide

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Study of bioaerosol disinfection kinetics and application of nonlinear regression modeling for optimization of TiO2-based photocatalytic disinfection process

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Nanotechnology for environmental engineering 2023年第4期8卷 911-922页

作者： Nishad, Vartika Mandal, Chinmoy Sahu, Manoranjan Aerosol and Nanoparticle Technology Laboratory Environmental Science and Engineering Department Indian Institute of Technology Bombay 507 Powai Mumbai400076 India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai400076 India Centre for Machine Intelligence and Data Science Indian Institute of Technology Bombay Mumbai400076 India

Bacteria and viruses are some of the major sources of indoor air pollution. Many strategies are utilized to control indoor biopollutants. Among the new emerging technologies, this work focuses on the photocatalytic oxidation process and application of disinfection models to optimize the photocatalytic process in bioaerosol control. The kinetics of bioaerosol disinfection was investigated in the photocatalytic process with nonlinear regression analysis for Serratia marcescens and E. coli bacteria. The Chick–Watson model was found suitable and was applied for determination of the inactivation kinetics. The inactivation rate constant k’ was found to be 0.0038 min−1 for S. marcescens and 0.09 min−1 for E. coli. The outcomes showed that in the process of disinfection kinetics of bioaerosols, pseudo-first-order kinetics fits well. With nonlinear regression analysis, a model was developed based on functional parameters such as UV intensity (20 to 100 W/m2), relative humidity (30 to 85%) and air velocity (37 to 112 ft/min) for S. marcescens and TiO2 loading (960 and 1516 mg/m2), UV intensity (0.5 to 3.4 mW/cm2) and relative humidity (51 to 85%) for E. coli. For E. coli overall inactivation was found to increase with an increase in TiO2 loading, RH or UV intensities. The inactivation rate of S. marcescens increased with an increase in UV intensity;however, it was found to decrease at very high or low values of relative humidity and air velocity. Hence, the optimum values for relative velocity were found to be 50% and air velocity of 74 ft/min for S. marcescens. The rate expressions derived for both data can be utilized for predicting and optimizing the disinfection rate at different conditions. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Titanium dioxide

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Effect of physical and biological pretreatment on sugarcane bagasse waste-based biogas production

Effect of physical and biological pretreatment on sugarcane ...

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3rd International Conference on Chemical engineering and Applied sciences, ICChEAS 2022

作者： Sumardiono, Siswo Matin, Hashfi Hawali Abdul Sulistianingtias, Ihdina Nugroho, Tri Yulianto Budiyono, Budiyono Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Semarang50239 Indonesia Study Program of Environmental Science Faculty of Mathematic and Natural Science Universitas Sebelas Maret Surakarta57126 Indonesia Vocational School Universitas Diponegoro Semarang50239 Indonesia

Sugarcane bagasse is a biomass with very potential, especially in agricultural countries. In this research, a study related to pretreatment and the ratio of C/N to biogas production from sugarcane bagasse was conducted. The study was carried out on a laboratory scale with physical pretreatment by grinding with a size of 6 mesh, then biological pretreatment with the microbial consortium 5 % g/V, and variations in the C/N ratio at 25 and 30. Cow rumen fluid was used in this study as a source of anaerobic bacteria and technical urea is used to adjust the C/N ratio. The solid total is set at 7 %. Based on research that has been carried out for 60 days, it was found that physical pretreatment by grinding with a size of 6 mesh can increase biogas production. Biogas production increased both at C/N ratio conditions of 25 and 30. Furthermore, biological pretreatment with the microbial consortium 5 % g/V was proven to increase biogas production at both C/N ratios of 25 and 30. Further studies on the C/N ratio, it was found that the C/N ratio of 25 was better than the C/N ratio of 30. This is evident in several variables, including raw and fine substrate conditions, as well as on variables with or without a microbial consortium, with the amount of biogas productivity at a C/N 25 ratio of 53-90.5 % higher than the C/N 30 ratio. © 2023 Elsevier Ltd. All rights reserved.

关键词： Grinding (machining)

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Projection of climate change effects on flood inundation in the Gin River basin, Sri Lanka 9

Projection of climate change effects on flood inundation in ...

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9th International Conference on Flood Management, ICFM 2023

作者： Jayapadma, Jayapadma Mudalige Miyuru Uthpala Souma, Kazuyoshi Ishidaira, Hiroshi Magome, Jun Wickramaarachchi, Thushara Navodani Special Educational Program on River Basin Environmental Science Integrated Graduate School of Medicine Engineering and Agricultural Sciences University of Yamanashi 4-3-11 Takeda Yamanashi Kofu400-8511 Japan Interdisciplinary Centre for River Basin Environment University of Yamanashi 4-3-11 Takeda Yamanashi Kofu400-8511 Japan Department of Civil and Environmental Engineering Faculty of Engineering University of Ruhuna Galle Hapugala Sri Lanka

Human-induced climate change has altered the frequency and severity of heavy precipitation, droughts, and floods worldwide. Sri Lanka, a developing country in the Indian Ocean, has suffered frequent floods, affecting over 64 % of the population in the past decade. The Gin River, the primary drinking water source of the densely populated Galle district with over 1 million residents, faces recurrent flood disasters. Therefore, this study employed a multi-model ensemble to simultaneously simulate the impact of climate change on both river flow and inundation extent in the frequently flooded Gin River basin located in humid tropical monsoon region. Bias-corrected climate projections of an ensemble of five General Circulation Models (GCMs) from the Coupled Model Inter-comparison Project Phase 5 (CMIP5) under Representative Concentration Pathway (RCP) 4.5 emission scenario were used to project future river flow and flood inundation in the Gin River basin, Sri Lanka. The validated Rainfall-Runoff-Inundation (RRI) model projected a 5 % increase in high flows (flows exceeding a 5 % probability of exceedance ( Copyright © 2024 Jayapadma Mudalige Miyuru Uthpala Jayapadma et al.

关键词： Floods

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