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Response of bacterial communities and soil chemistry to flood durations and recovery phases

environmental Science and Pollution Research 2025年第15期32卷 9429-9442页

作者： Sao, Sochan Praise, Susan Nishiyama, Masateru Ann, Vannak Phung, Luc Duc Watanabe, Toru The United Graduate School of Agricultural Sciences Iwate University 18-8 Ueda 3-Chome Iwate Morioka020-8550 Japan Faculty of Hydrology and Water Resources Engineering Institute of Technology of Cambodia PO Box 86 Russian Federation Blvd Phnom Penh120404 Cambodia Department of Food Life and Environmental Sciences Faculty of Agriculture Yamagata University 1-23 Wakaba-Machi Yamagata Tsuruoka997-8555 Japan

Flooding profoundly impacts soil bacterial communities;however, the underlying mechanisms remain poorly understood. This study investigated how flooding (3, 8, and 16 days) and post-flooding (immediately and 2, 5, and 30 days) durations affect soil physicochemical properties, bacterial communities, and their interactions—crucial factors in floodplain nutrient and carbon cycling. The results showed that bacteria constituted 99.9% of the total microbial composition, while archaea, contributing only 0.1%, had a negligible impact on soil traits. At 2–5 days after flooding (DAF), elevated soil electrical conductivity (EC) and pH enhanced soil bacterial abundance and activity, leading to increased water-extractable dissolved organic carbon (DOC), water-extractable total dissolved nitrogen, and biological production (BIX), accompanied by the degradation of soil organic matter (SOM) and aromatic compounds (SUVA254). These changes indicated robust interactions between soil bacterial communities and physicochemical properties affected by flooding events. However, these relationships weakened at 30 DAF, suggesting potential transitions from anaerobic to aerobic conditions in post-flooding soils after 5 DAF. Structural equation modelling indicated that an extended post-flooding duration increased BIX, accompanied by SOM and DOC degradation, providing nutrients and energy to soil microbes and consequently leading to increased bacterial diversity. This study underscores the significant impact of flooding and post-flooding durations on soil bacterial community composition and diversity, mediated by changes in EC, pH, SOM, and DOM, potentially influencing nutrient cycling in floodplains. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Physicochemical properties

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Machine learning-based modeling of surface water temperature dynamics in arctic lakes

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environmental Science and Pollution Research 2024年第49期31卷 59642-59655页

作者： Kim, Hyung Il Kim, Dongkyun Salamattalab, Mohammad Milad Mahdian, Mehran Bateni, Sayed M. Noori, Roohollah DL E & amp C Civil Business Division Donuimun D Tower 134 Tongil-Ro Jongno-Gu Seoul Korea Republic of Department of Civil and Environmental Engineering Hongik University Mapo-Gu Seoul Korea Republic of School of Civil Engineering Iran University of Science and Technology Tehran Narmak*** Iran Department of Civil Environmental and Construction Engineering and Water Resources Research Center University of Hawaii at Manoa HonoluluHI United States Graduate Faculty of Environment University of Tehran Tehran*** Iran Faculty of Governance University of Tehran Tehran*** Iran UNESCO-UNISA Africa Chair in Nanoscience and Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge Pretoria392 South Africa

Lake surface-water temperature (LSWT) regulates physical and biochemical processes in lakes. Therefore, understanding the LSWT dynamics is important, especially in Arctic zone since the region is experiencing a warming rate that is greater than the Earth’s average. However, regular measurements of LSWT in the remote Arctic lakes always face difficulties or cannot be done by satellites accurately due to the cloud cover and their limited spatiotemporal resolution. Here, we used a historically rich data (1960–2023) to develop four machine learning-based algorithms for the daily LSWT modeling in Lake Inari, situated in Arctic zone, using the air-temperature data. Our results showed that both air-temperature (0.030 °C/yr) and LSWT (0.023m °C/yr) were warming with a rate faster than those in the globe. The long-short-term memory model, with the coefficients of determination varied from 0.96 to 0.98, outperformed other algorithms in modeling of the daily LSWT dynamics in Lake Inari, followed by both support vector regression and neural network tools, and random forest model. As the air-temperature data are widely accessible through synoptic stations and remote sensing techniques, our suggested models can be simply adopted for other Arctic lakes, where the local water-temperature data are often lacking or contain large windows of missing data due to harsh atmospheric conditions and equipment failure. Graphical abstract: (Figure presented.) © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Long short-term memory

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Towards carbon neutrality:Sustainable recycling and upcycling strategies and mechanisms for polyethylene terephthalate via biotic/abiotic pathways

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Eco-Environment & Health 2024年第2期3卷 117-130页

作者： Jiaqi Yang Zhiling Li Qiongying Xu Wenzong Liu Shuhong Gao Peiwu Qin Zhenglin Chen Aijie Wang School of Civil&Environmental Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China State Key Laboratory of Urban Water Resources and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150090China Institute of Biopharmaceutical and Health Engineering Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China

Polyethylene terephthalate(PET),one of the most ubiquitous engineering plastics,presents both environmental challenges and opportunities for carbon neutrality and a circular *** review comprehensively addressed the latest developments in biotic and abiotic approaches for PET recycling/***,microbial depolymerization of PET,along with the biosynthesis of reclaimed monomers[terephthalic acid(TPA),ethylene glycol(EG)]to value-added products,presents an alternative for managing PET waste and enables CO_(2)***,thermal treatments(i.e.,hydrolysis,glycolysis,methanolysis,etc.)and photo/electrocatalysis,enabled by catalysis advances,can depolymerize or convert PET/PET monomers in a more flexible,simple,fast,and controllable *** abiotic/biotic catalysis offers great potential for PET upcycling to generate commodity chemicals and alternative materials,ideally at lower energy inputs,greenhouse gas emissions,and costs,compared to virgin polymer ***,over 25 types of upgraded PET products(e.g.,adipic acid,muconic acid,catechol,vanillin,and glycolic acid,etc.)have been identified,underscoring the potential of PET upcycling in diverse *** can be made to develop chemo-catalytic depolymerization of PET,improve microbial depolymerization of PET(e.g.,hydrolysis efficiency,enzymatic activity,thermal and pH level stability,etc.),as well as identify new microorganisms or hydrolases capable of degrading PET through computational and machine learning ***,this review provides a roadmap for advancing PET recycling and upcycling technologies,which hold the potential to shape the future of PET waste management and contribute to the preservation of our ecosystems.

关键词： PET depolymerization Monomers Recycling/upcycling Biocatalysis Photo/electrocatalysis

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Flood hazard assessment in Kuala Langsa village, Langsa city, Aceh Province-Indonesia

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Case Studies in Chemical and environmental engineering 2024年 10卷

作者： Isma, Faiz Kusuma, M.S. Badri Nugroho, E Oktariyanto Adityawan, M Bagus Civil Engineering Doctoral Program Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Center for Water Resources Development Faculty of Civil and Environmental Engineering Institut Teknologi Bandung School of Water Resources Engineering and Management Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Department of Civil Engineering Faculty of Engineering Universitas Samudra

This study evaluates the flood hazard index in Kuala Langsa Village, Langsa City, Aceh, a region prone to frequent flooding due to its low-lying coastal location in eastern Aceh. It serves as a crucial link between North Sumatra and Aceh provinces. The area's significance underscores the importance of understanding and mitigating flood risks. By utilizing the coupled 1D/2D Hydraulic model, flood hazards are accurately predicted and mapped. The field data collection (as calibration) measures the maximum tidal water level based on information from residents affected by flooding on the land surface under their houses. Hydrological conditions during the December 2017 flood event are simulated using HEC-HMS. Hydraulic conditions are evaluated using HEC-RAS 6.4.1. The research aims to assess the flood hazard index in Kuala Langsa Village under spring tide conditions, considering variations in base flow and flood flow with return periods of 2 and 50 years upstream. The main results show that an FHI >2.62 (high) covers an area of 169.74 ha, 2.62 > FHI >2.23 (moderate) encompasses 172.60 ha, and FHI <2.23 (low) accounts for 222.32 ha. During the Q50 upstream flood, there was an increase in flood extent: low by 61.20 %, medium by 25.32 %, and high by 5.57 %. These findings deepen our understanding of estuary flood mechanisms and emphasize the importance of developing more effective adaptation strategies to reduce flood risks in the future. © 2024 The Authors

关键词： Adaptation calibration Flood hazard index Hydraulic 1D/2D Hydrological Kuala Langsa village Tidal propagation

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Sadewa satellite remote sensing data to Manggarai 1-hour water level machine learning model 8

Sadewa satellite remote sensing data to Manggarai 1-hour wat...

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8th International Conference on Advanced Informatics: Concepts, Theory, and Application, ICAICTA 2021

作者： Valerian, Jonathan Raditya Rohmat, Faizal Kardhana, Hadi Kusuma, Muhammad Syahril Badri Yatsrib, Muhammad Institut Teknologi Bandung Master of Water Resources Management Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Research Group Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Engineering and Management Study Program Faculty of Civil and Environmental Engineering Bandung Indonesia

ISBN: (纸本)9781665417433

The Manggarai water Gate is a measurement point strategically located to measure Jakarta's flooding magnitude that keeps increasing from year to year. The 2015s gate capacity improvement underscores this importance. This paper applies a machine learning model that utilizes an atmospheric approach to predict the Manggarai water level as output. In the process, optimization is done by comparing three spatial input sizes and performing a sensitivity analysis of the input variables. Using a simple recurrent sequence, the model can predict the water level with a coefficient of determination (R2) reaching 0.7 using 18-hour recurrent data. This study can be used as the basis for further development that can take satellite data lead time advantage that is crucial for the early warning system. © 2021 IEEE.

关键词： water levels

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An analytical study on local buckling strength of box stub-columns made of SBHS500 under axial compression 11th

An analytical study on local buckling strength of box stub-c...

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11th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2022

作者： Yamazaki, R. Ono, K. Takeshima, N. Okada, S. Kitane, Y. Matsumura, M. Department of Civil and Environmental Engineering Waseda University Tokyo Japan IHI Infrastructure Systems Co. Ltd Tokyo Japan Department of Civil and Earth Resources Engineering Graduate School of Engineering Kyoto University Kyoto Japan Center for Water Cycle Marine Environment and Disaster Management Kumamoto University Kumamoto Japan

ISBN: (纸本)9781032345314

In 2017, SBHS (Steels for Bridge High-performance Structure) has been specified in "Specifications for Highway Bridges" in Japan. In order to investigate local buckling strength of welded box stub-column made of SBHS500 under axial compression, finite element analyses were conducted, covering a wide range of width-to-thickness ratio (RR). The validity of the analysis models was examined by comparing the experiment results in previous study and reproduction analysis results. Then, the local buckling strength obtained from analysis results were compared with existing ultimate strength curves. As a result, the ultimate strength values obtained from parametric analysis were slightly lower than values given by existing ultimate strength curves around RR = 0.7. In the end of this study, another ultimate strength curve which can evaluate local buckling strength of welded box stub column made of SBHS500 more accurately was proposed based on the analysis results. © 2022 the Author(s).

关键词： Axial compression

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Spatial Analysis of Flood Hazard Based on Rainfall-Runoff-Inundation Model Under Design Discharge Scenario

SSRN

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SSRN 2024年

作者： Farid, Mohammad Syuhada, Muhammad Marshal Sihombing, Yeremia Immanuel Kuntoro, Arno Adi Nugroho, Joko Adityawan, Mohammad Bagus Virtriana, Riantini Javas, Jovian Dewi, Nadira Tsamara Gunawan, Willy Cahyadhiputra Water Resources Development Center Institut Teknologi Bandung Indonesia Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Indonesia Graduate School of Water Resources Management Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Indonesia Remote Sensing and GIS Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Indonesia Civil Engineering Department Universitas Jenderal Achmad Yani Indonesia

Floods are a recurring natural disaster in Indonesia, especially in areas with high rainfall. An example is the Bandung basin, which includes the Cikeruh river basin that experiences chronic flooding. As the center of West Java's government, Greater Bandung is significantly affected by floods. To optimize flood mitigation efforts, it is necessary to consider the river basin’s flood hazard levels. This study aims to develop a flood hazard map for the Cikeruh river basin based on the results of an inundation simulation using the Rainfall-Runoff-Inundation (RRI) model. The RRI model can simulate rainfall, runoff, and flood inundation simultaneously, making it an ideal tool for flood hazard mapping. The study found that 31.2% of the river basin area is affected by flooding with a 25-year return period of rainfall, with the majority of inundated areas having an H3 or medium hazard level. In addition, the study results indicate that location, topography and land cover factors have a large influence on the occurrence of flood hazard. The resulting flood hazard map can provide input to authorities for determining flood mitigation policies in the Cikeruh river basin. © 2024, The Authors. All rights reserved.

关键词： Rivers

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Heavy metals in agricultural soil in China: A systematic review and meta-analysis

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Eco-Environment & Health 2022年第4期1卷 219-228页

作者： Moyan Wen Ziqi Ma Daniel BGingerich Xiao Zhao Dongye Zhao College of Water Resources and Civil Engineering China Agricultural UniversityBeijing 100083China Department of Civil Environmental and Geodetic EngineeringThe Ohio State UniversityColumbusOH 43210USA Department of Integrated Systems Engineering The Ohio State UniversityColumbusOH 43210USA Environmental Engineering Program Department of Civil EngineeringAuburn UniversityAuburnAL 36849USA

Research about farmland pollution by heavy metals/metalloids in China has drawn growing ***,there was rare information on spatiotemporal evolution and pollution levels of heavy metals in the major grainproducing *** extracted and examined data from 276 publications between 2010 and 2021 covering five major grain-producing regions in China from 2010 to *** evolution characteristics of main heavy metals/metalloids was obtained by *** addition,subgroup analyses were carried out to study preliminary correlations related to accumulation of the ***(Cd)was found to be the most prevailing pollutant in the regions in terms of both spatial distribution and temporal *** Huang-Huai-Hai Plain was the most severely *** of Cd,mercury(Hg)and copper(Cu)increased from 2010 to 2015 when compared with the 1990 background ***,the levels of five key heavy metals(Cd,Cu,Hg,lead[Pb]and zinc[Zn])showed increasing trends from 2016 to 2021 in all five *** pH and mean annual precipitation had variable influences on heavy metal *** soil and areas with less rainfall faced higher pollution *** cropped with mixed species showed smaller effect sizes of heavy metals than those with single upland crop,suggesting that mixed farmland use patterns could alleviate the levels of heavy metals in *** various soil remediation efforts,farmland projects only held a small market *** findings are important to support the research of risk assessment,regulatory development,pollution prevention,fund allocation and remediation actions.

关键词： Heavy metal Agricultural soil Soil pollution Meta-analysis Spatiotemporal evolution

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A Multi-Scale Approach to Assess water Quality and Evaporation in Agricultural Irrigation Canals

SSRN

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SSRN 2024年

作者： Fender, Chloe L. Good, Stephen Garcia-Jaramillo, Manuel Department of Environmental and Molecular Toxicology Oregon State University CorvallisOR United States Department of Biological and Ecological Engineering Oregon State University CorvallisOR United States Water Resources Graduate Program Oregon State University CorvallisOR United States

Irrigation networks play a crucial role in water distribution and food production in agricultural systems and contribute to the overall economy. While studies have examined the effects of organic chemical pollutants, including pesticides, on crop and soil health, there is a lack of research on the overall composition and occurrence of organic chemical contaminants in irrigation water. To this point, there are currently no standardized methods for monitoring contaminants and assessing the transformation and potential toxicity of these compounds in irrigation water distribution systems. In this study, we used liquid chromatography high-resolution mass spectrometry to analyze the organic chemical composition of water samples from an irrigation canal and a river that serves as the source of water for the canal. We estimated the relative evaporation rate in the canal as a proxy for residence time by measuring the isotopic ratio of hydrogen and oxygen in the canal water with cavity ring-down spectroscopy. We assessed adverse effects of chemical contaminants in our samples by evaluating the collected water with a high-throughput zebrafish embryonic platform. We evaluated the hazard of annotated chemicals with an assessment tool developed by the US EPA. The canal showed a greater decrease in the abundance of organic contaminants relative to the river as we moved further from the source. Evaporation, a proxy for residence time, was evaluated in the canal and increased after a holding reservoir due to its higher surface area relative to the rest of the canal. This study improves our understanding of the occurrence and degradation of organic chemicals in irrigation networks compared with rivers, and how they may correlate with evaporation and distance. The approach implemented in this study can help build a standardized methodology for monitoring water quality and assessing the potential toxicity of organic contaminants in agricultural irrigation systems. © 2024, The Authors.

关键词： Organic chemicals

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Regeneration and reuse of anode graphite from spent lithium-ion batteries with low greenhouse gas (GHG) emissions

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Chinese Chemical Letters 2023年第10期34卷 111-115页

作者： Junjie Liu Hui Shi Ke Yu Yanni Geng Xingyu Hu Genping Yi Jianzhi Zhang Xubiao Luo National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063China Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063China School of Environment and Energy Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China State Key Lab of Urban Water Resource and Environment School of Civil and Environmental EngineeringHarbin Institute of Technology ShenzhenShenzhen 518055China

Regenerating spent graphite(SG)from retired lithium-ion batteries(LIBs)can effectively avoid resource ***,the technology is challenged by the impurity content and energy *** this study,micro-expanded graphite(MEG)was synthesized by one-step oxidation method using waste LIBs anode graphite as material and perchloric acid as intercalation and oxidant ***,its performance as a LIBs anode material were investigated as well as the greenhouse gas(GHG)emissions of the whole process were *** acid was successfully embedded in the SG during the reaction,which effectively removed the impurities in the *** introduced during intercalation and delamination,such as nanopores and intercrystalline *** provide additional space for Li ions during charging and discharging,thereby promoting capacity *** prepared MEG expresses a rate capability as high as 340.32 m Ah/g at a current density of 0.1 C and still retains 81.73%of the capacity after 100 cycles at a current density of 1 ***,the GHG emissions of the synthesis process of this article and other literatures are *** results demonstrated that perchloric acid treatment process provides a low-carbon,time-and energy-saving approach for regenerated SG as battery grade material.

关键词： Spent graphite Retired lithium-ion batteries Greenhouse gas emissions Regenerated Perchloric acid Micro-expanded graphite

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