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ACS ES&T air 2024年第4期1卷 283-293页

作者： Xuan Liu Jay R Turner Christopher R Oxford Jacob McNeill Brenna Walsh Emmie Le Roy Crystal L Weagle Emily Stone Haihui Zhu Wenyu Liu Zilin Wei Nicole P Hyslop Jason Giacomo Ann M Dillner Abdus Salam Al-Amin Hossen Zubayer Islam Ihab Abboud Clement Akoshile Omar Amador-Muñoz Nguyen Xuan Anh Araya Asfaw Rajasekhar Balasubramanian Rachel Ying-Wen Chang Craig Coburn Sagnik Dey David J Diner Jinlu Dong Tareq Farrah Paterne Gahungu Rebecca M Garland Michel Grutter de la Mora Sina Hasheminassab Juanette John Jhoon Kim Jong Sung Kim Kristy Langerman Pei-Chen Lee Puji Lestari Yang Liu Tesfaye Mamo Mathieu Martins Olga L Mayol-Bracero Mogesh Naidoo Sang Seo Park Yoav Schechner Robyn Schofield Sachchida N Tripathi Eli Windwer Ming-Tsang Wu Qiang Zhang Michael Brauer Yinon Rudich Randall V Martin Department of Energy Environmental & Chemical Engineering Washington University in St. Louis St. Louis Missouri 63130 United States. Air Quality Research Center University of California Davis Davis California 95616 United States. Department of Chemistry University of Dhaka Dhaka 1000 Bangladesh. Air Quality Research Division Environment and Climate Change Canada Toronto Ontario M3H 5T4 Canada. Department of Physics University of Ilorin Ilorin 240003 Nigeria. Instituto de Ciencias de la Atmósfera y Cambio Climático Universidad Nacional Autónoma de México Mexico City 04510 Mexico. Institute of Geophysics Vietnam Academy of Science and Technology Hanoi 11307 Vietnam. Institute of Geophysics and Space Science Addis Ababa University Addis Ababa 1176 Ethiopia. Department of Civil and Environmental Engineering National University of Singapore Singapore 117576 Singapore. Department of Physics and Atmospheric Science Dalhousie University Halifax Nova Scotia B3H 4R2 Canada. Department of Geography and Environment University of Lethbridge Lethbridge Alberta T1K 3M4 Canada. Centre for Atmospheric Sciences Indian Institute of Technology Delhi New Delhi 110016 India. Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 United States. School of Environment Tsinghua University Beijing 100084 People's Republic of China. Research Laboratories Khalifa University Abu Dhabi 127788 United Arab Emirates. Institute of Applied Statistics University of Burundi Bujumbura BP1550 Burundi. Council for Scientific and Industrial Research Pretoria 0001 South Africa. Unit for Environmental Sciences and Management North-West University Potchefstroom 2531 South Africa. Department of Geography Geo-Informatics and Meteorology University of Pretoria Pretoria 0002 South Africa. Department of Atmospheric Sciences Yonsei University Seoul 03722 Republic of Korea. Department of Community Health and Epidemiology Dalhousie University Halifax Nova Scotia B3

Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019-2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 μg/m) in PM is also found in Dhaka (Bangladesh) along with a high average TEO level (6 μg/m). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.

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Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

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Scientific World Journal 2022年第1期2022卷 3123788页

作者： Gandharum, Laju Hartono, Djoko Mulyo Karsidi, Asep Ahmad, Mubariq School of Environmental Science Universitas Indonesia (UI) Jl. Salemba Raya No. 4 Jakarta 10430 Indonesia Center of Regional Resources Development Technology (PTPSW) National Research and Innovation Agency (BRIN) Gedung Geostech 820 Banten 15314 Indonesia Environmental Engineering Study Program Faculty of Engineering Universitas Indonesia (UI) Depok 16424 Indonesia Department of Geography Faculty Mathematics and Natural Sciences Universitas Indonesia (UI) Depok 16424 Indonesia

Uncontrolled urban expansion resulting from urbanization has a disastrous impact on agricultural land. This situation is being experienced by the densely populated and fertile island Java in Indonesia. Remote sensing technologies have developed rapidly in recent years, including the creation of Google Earth Engine (GEE). Intensity analysis (IA) is increasingly being used to systematically and substantially analyze land-use/land-cover (LULC) change. As yet, however, no study of land conversion from agriculture to urban areas in Indonesia has adopted GEE and IA approaches simultaneously. Therefore, this study aims to monitor urban penetration to agricultural land in the north coastal region of West Java Province by applying both methods to two time intervals: 2003-2013 and 2013-2020. Landsat data and a robust random forest (RF) classifier available in GEE were chosen for producing LULC maps. Monitoring LULC change using GEE and IA has demonstrated reliable findings. The overall accuracy of Landsat image classification results for 2003, 2013, and 2020 were 88%, 87%, and 88%, respectively. IA outputs at interval levels for all categories showed that the annual change-of-area rate was higher during 2013-2020 than during 2003-2013. At the category level, IA results showed that the area of agricultural land experienced net losses in both periods, with net loss in 2013-2020 being 2.3 times greater than that in 2003-2013 (∼1,850 ha per year). In contrast, the built-up area made net gains in both periods, reaching almost twice as much in the second period as in the first (∼2,030 ha per year). The transition-level IA performed proved that agricultural land had been the primary target for the expansion of built-up areas. The most extensive spatial distribution of land conversion from agriculture to built-up area was concentrated in the regencies of Bekasi, Karawang, and Cirebon. These findings are intended to provide stakeholders with enrichment in terms of available literature

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Sensitivity Analysis of Wind Energy Resources with Bayesian non-Gaussian and nonstationary Functional ANOVA

arXiv

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arXiv 2021年

作者： Zhang, Jiachen Crippa, Paola Genton, Marc G. Castruccio, Stefano Department of Applied and Computational Mathematics and Statistics University of Notre Dame United States Department of Civid and Environmental Engineering and Geoscience University of Notre Dame United States Statistics Program King Abdullah University of Science and Technology Saudi Arabia

The transition from non-renewable to renewable energies represents a global societal challenge, and developing a sustainable energy portfolio is an especially daunting task for developing countries where little to no information is available regarding the abundance of renewable resources such as wind. Weather model simulations are key to obtain such information when observational data are scarce and sparse over a country as large and geographically diverse as Saudi Arabia. However, output from such models is uncertain, as it depends on inputs such as the parametrization of the physical processes and the spatial resolution of the simulated domain. In such situations, a sensitivity analysis must be performed and the input may have a spatially heterogeneous influence of wind. In this work, we propose a latent Gaussian functional analysis of variance (ANOVA) model that relies on a nonstationary Gaussian Markov random field approximation of a continuous latent process. The proposed approach is able to capture the local sensitivity of Gaussian and non-Gaussian wind characteristics such as speed and threshold exceedances over a large simulation domain, and a continuous underlying process also allows us to assess the effect of different spatial resolutions. Our results indicate that (1) the non-local planetary boundary layer scheme and high spatial resolution are both instrumental in capturing wind speed and energy (especially over complex mountainous terrain), and (2) the impact of planetary boundary layer scheme and resolution on Saudi Arabia’s planned wind farms is small (at most 1.4%). Thus, our results lend support for the construction of these wind farms in the next decade. © 2021, CC BY-NC-ND.

关键词： Sensitivity analysis

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The Study of Solid Waste Management to Extend the Lifetime of Sukoharjo Landfill, Pati Regency 4

The Study of Solid Waste Management to Extend the Lifetime o...

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4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019

作者： Viantikasari, Mei Purwanto, P. Budihardjo, Mochamad Arief Program in Environmental Science Diponegoro University Semarang50275 Indonesia Department of Chemical Engineering Diponegoro University Semarang50275 Indonesia Department of Environmental Engineering Diponegoro University Semarang50275 Indonesia

The waste generation increases along with the increase of population and then the percentage of waste services is increasing every year so the capacity of Sukoharjo landfill becomes decreasing. While to find a suitable location for new landfill sites that are completed requirements of regulation is difficult. It is needed some actions to extend the lifetime of Sukoharjo landfill, one of them is application 3R (Reduce, Reuse, Recycle) mechanism in waste management. This study aims to analyze the lifetime of Sukoharjo landfills with the mechanism of Reuse, Reduce and Recycle (3R). The method used in this research is quantitative and qualitative methods. Based on the calculation, the landfill only available until 2022. The existence of composting and recycling of anorganic waste, landfill lifetime will extend until 2025. Our results show that there is a significant comparison of the volume waste in landfills between untreated incoming trash with treated by Reduce, Reuse, Recycle (3R) mechanism. By 2028, the waste generation in a landfill will be 24,821,724 kg. During composting (30%) and recycling of anorganic waste (15%), the volume of waste in landfill is reduced to 14,401,796 kg. © The Authors, published by EDP sciences, 2019.

关键词： Recycling

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Non-Empirical Models for Assessing the Thermal Properties of Nonlinear Polyatomic Molecules

SSRN

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SSRN 2025年

作者： Eyube, Edwin Samson Yabwa, D. Onate, C.A. Makama, E.K. Tahir, A.M. Omugbe, E. Makasson, C.R. Umar, U. Department of Physics Faculty of Physical Sciences Modibbo Adama University P.M.B. 2076 Adamawa State Yola Nigeria Department of Physics Faculty of Science Taraba State University P.M.B. 1176 Taraba State Jalingo Nigeria Physics Program College of Agriculture Engineering and Science Bowen University Iwo Osun State Nigeria Department of Physics Faculty of Natural Sciences University of Jos P.M.B. 2084 Plateau State Jos Nigeria Department of Science Laboratory Technology School of Science and Technology Adamawa State Polytechnic P.M.B. 2146 Adamawa State Yola Nigeria Department of Physics University of Agriculture and Environmental Sciences P.M.B. 1038 Imo State Umuagwo Nigeria Department of Physics Modibbo Adama University Secondary School P.M.B. 2076 Adamawa State Yola Nigeria

The current study explores computational models developed using the improved Scarf potential and harmonic oscillator to simulate vibrational modes in nonlinear polyatomic systems. These models are derived from the partition functions of the system and are designed to predict molar Gibbs free energy, entropy, enthalpy, and heat capacity. The models are applied to nonlinear polyatomic molecules, including aluminum chloride (AlCl2), boron difluoride (BF2), and sulfur dioxide (SO2). For Gibbs free energy and entropy, the equations yield a mean percentage relative error (MPRE) of no more than 0.09% compared to NIST data. Furthermore, using the heat capacity expression, MPRE values of 0.968%, 1.035%, and 2.764% are obtained for AlCl2, BF2, and SO2, respectively. These findings are in good agreement with results from existing literature on nonlinear molecules © 2025, The Authors. All rights reserved.

关键词： Free energy

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Power generation in white cement plants from waste heat recovery using steam-organic combined Rankine cycle

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Case Studies in Chemical and environmental engineering 2021年 4卷

作者： Khater, A.M. Soliman, Ahmed Ahmed, Tamer S. Ismail, Ibrahim M. Chemical Engineering Department Faculty of Engineering and Technology Badr University in cairo (BUC) Cairo Egypt Chemical Engineering Department Faculty of Engineering Cairo University Giza 12613 Egypt Environmental Engineering Program Zewail City of Science and Technology 6th of October City Giza 12578 Egypt

Cement is one of the highly energy-intensive industries. Producing one ton of cement consumes 3-4-GJ which represent about 40% of the variable costs of cement production. Moreover, fuel cost represents 26–34% of production costs. Increasing energy efficiency is essential in the cement industry, especially in the white cement production. The thermal energy consumption of the white cement production process is twice the average thermal consumption of grey cement manufacture. Improving energy efficiency in the cement industry reduces CO₂ emissions in addition to reducing production costs. This study considered the recovery of waste heat in a white cement plant to improve its energy efficiency. The conventional power generation cycles, i.e., steam Rankine cycle, organic Rankine cycle were studied as well as steam-organic combined Rankine cycle. Six different schemes were proposed for the different Rankine cycle systems. A comparative study was made to determine the optimum type of Rankine cycle, scheme, working fluid, and operating conditions based on both thermodynamic and economic evaluation. This research provides a general methodology to evaluate working fluids of different organic Rankine cycle systems to recover high-temperature waste heat. Isopentane and its different isomers -n-pentane, cyclopentane, spiropentane and neopentane-were selected as working fluids. Spiropentane produced the highest net power “4483 kWh” and the highest thermal efficiency “41.69%”. Although spiropentane achieved the best performance, cyclopentane is recommended to be used as a working fluid due to its availability and relatively cheap price. It requires the lowest capital cost among the other working fluids. Moreover, it has achieved an irreversibility rate lower than spiropentane and its thermal efficiency is lower than spiropentane by only 1.6%. Steam-organic combined Rankine cycle is the best choice for recovering high-temperature waste heat. it can generate larger amount

关键词： Cascade Rankine cycle Energy efficiency Organic Rankine cycle Waste heat recovery White cement industry

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Deciphering microplastic ecotoxicology:impacts on crops and soil ecosystem functions

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Circular Agricultural Systems 2021年第1期1卷 55-61页

作者： Shahid Iqbal Jianchu Xu Sehroon Khan Muhammad Saleem Arif Tahira Yasmeen Sadia Nadir Douglas Allen Schaefer Honghe Centre for Mountain Futures Kunming Institute of BotanyChinese Academy of ScienceHonghe 654400YunnanChina CIFOR-ICRAF China Country Program World Agroforestry CentreKunming 650201China Department of Environmental Sciences and Engineering Government College UniversityFaisalabad38000Pakistan Department of Chemistry University of Science and TechnologyBannu28100KPKPakistan

Review on microplastic toxicity in agroecosystems is ***,we develop a conceptual model(based on literature to date)that describes various microplastic effects using a *** also classify crops depending on their observed responses,and discuss several conceptual mechanisms of soil *** model shows that microplastic effects on crops can be positive,toxic,lethal and ***,microfibers in a wide range of sizes can positively affect ***,toxic effects of microplastics with/without other pollutants are more common at different ***,biodegradable plastic effects are lethal,calling into question their environmental ***-effect on crops is also possible but less *** other crops(e.g.,wheat,maize and bean),only onion seems resistant to *** uptake of micro/nanoplastic demands a clear benchmark to ensure ***,mixed effects are observed on soil *** in soil enzymes and litter decomposition can affect nutrients and organic matter *** can be induced by increasing *** in microbial community structure and activities are inevitable.

关键词： crops soil sizes

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The Effect of Alfalfa on Subsurface Discharge and Nutrient Losses Mediated by Precipitation Characteristics and Antecedent Moisture Conditions

SSRN

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SSRN 2024年

作者： Arrueta, Lourdes King, Kevin Hanrahan, Brittany Martin, Jay Kalcic, Margaret Environmental Science Graduate Program The Ohio State University 3138A Smith Lab 174 West 18th ColumbusOH43210 United States 590 Woody Hayes Dr. ColumbusOH43210 United States 12201 Sunrise Valley Drive RestonVA20192 United States Department of Food Agricultural and Biological Engineering 590 Woody Hayes Drive ColumbusOH43210 United States The Ohio State University Sustainability Institute 3018 Smith Lab 174 W. 18th Avenue ColumbusOH43210 United States Biological Systems Engineering Department University of Wisconsin-Madison 115 Agricultural Engineering Building 460 Henry Mall MadisonWI53706 United States

This study examines the effect of alfalfa (Medicago sativa L.) on nitrogen (N) and phosphorus (P) loads in subsurface (tile) drainage across storm events using edge-of-field monitoring data from two sites (A and B) located in the northwest region of Ohio, USA. A k-median cluster analysis was used to classify 462 storm events at Site A and 684 storm events at Site B based on precipitation amount and wet antecedent moisture conditions (AMC). Patterns of nutrient loss in tile drainage were compared between fields with alfalfa and fields with cash and cover crops using a difference-in-differences analysis across three identified storm event types: Dry storm events (Site A: AMC25 mm, Site B: AMC>29 mm), and large storm events (Site A: precipitation amount>29 mm, Site B: precipitation amount>38 mm). Compared to the cash and cover crop rotations, alfalfa had the following effects on discharge and water quality: a reduction in subsurface discharge during large storm events at site B;reduced subsurface nitrate (NO3-N) and total N (TN) loads across all storm event types at Site A;reduced subsurface dissolved reactive P (DRP) and total P (TP) loads during large events at both sites. The impact of alfalfa during large storm events is particularly important given that most nutrient export occurs during these events. © 2024, The Authors. All rights reserved.

关键词： Water quality

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Non-Empirical Models for Assessing the Thermal Properties of Nonlinear Polyatomic Molecules

SSRN

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SSRN 2025年

作者： Eyube, Edwin Samson Yabwa, D. Onate, C.A. Makama, E.K. Tahir, A.M. Omugbe, E. Makasson, C.R. Umar, U. Department of Physics Faculty of Physical Sciences Modibbo Adama University P.M.B. 2076 Adamawa State Yola Nigeria Department of Physics Faculty of Science Taraba State University P.M.B. 1176 Taraba State Jalingo Nigeria Physics Program College of Agriculture Engineering and Science Bowen University Osun State Iwo Nigeria Department of Physics Faculty of Natural Sciences University of Jos P.M.B. 2084 Plateau State Jos Nigeria Department of Science Laboratory Technology School of Science and Technology Adamawa State Polytechnic P.M.B. 2146 Adamawa State Yola Nigeria Department of Physics University of Agriculture and Environmental Sciences Umuagwo P.M.B. 1038 Imo State Nigeria Department of Physics Modibbo Adama University Secondary School P.M.B. 2076 Adamawa State Yola Nigeria

关键词： Free energy

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Metal-enriched nanoparticles and black carbon:A perspective from the Brazil railway system air pollution

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Geoscience Frontiers 2021年第3期12卷 624-635页

作者： Bianca D.Lima Elba C.Teixeira James C.Hower Matheus S.Civeira Omar Ramírez Cheng-Xue Yang Marcos L.S.Oliveira Luis F.O.Silva Postgraduate Program in Remote Sensing and Meteorology Geosciences InstituteUniversidade Federal do Rio Grande do SulAv.Bento Gonçalves9500Porto AlegreRS 91501–970Brazil Research Department Fundação Estadual de Proteção Ambiental Henrique Luís RoesslerAv.Borges de Medeiros261Porto AlegreRS 90020–021Brazil Center for Applied Energy Research University of Kentucky2540 Research Park DriveLexingtonKY 40511USA Postgraduate Program in Mines Metallurgy and MaterialsUniversidade Federal do Rio Grande do SulAv.Bento Gonçalves9500Porto AlegreRS 91501–970Brazil Faculty of Engineering Environmental EngineeringUniversidad Militar Nueva GranadaKm 2 CajicáZipaquiráColombia Institute of Earth Science China University of Geosciences(Beijing)29 Xueyuan RdHaidian DistrictChina Department of Civil and Environmental Universidad de la CostaCUCCalle 58#55-66BarranquillaAtlanticoColombia Universidad de Lima Departamento de Ingeniería civil y Arquitectura.Avenida Javier Prado Este 4600–Santiago de Surco 1503Peru

Having a better understanding of air pollutants in railway systems is crucial to ensure a clean public *** study measured,for the first time in Brazil,nanoparticles(NPs)and black carbon(BC)on two groundlevel platforms and inside trains of the Metropolitan Area of Porto Alegre(MAPA).An intense sampling campaign during thirteen consecutive months was carried out and the chemical composition of NPs was examined by advanced microscopy *** results showed that highest concentrations of the pollutants occur in colder seasons and influenced by variables such as frequency of the trains and passenger ***,internal and external sources of pollution at the stations were *** predominance of NPs enriched with metals that increase oxidative stress like Cd,Fe,Pb,Cr,Zn,Ni,V,Hg,Sn,and Ba both on the platforms and inside trains,including Fe-minerals as hematite and magnetite,represents a critical risk to the health of passengers and employees of the *** interdisciplinary and multi-analytical study aims to provide an improved understanding of reported adverse health effects induced by railway system aerosols.

关键词： Nanoparticles Potential hazardous elements environmental chemistry Human health Railway environment Indoor air quality

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