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World Environmental and water resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Gomez-Tunque, Kennedy Richard Ingol-Blanco, Eusebio Mejia-Marcacuzco, Abel Chávarri-Velarde, Eduardo Pino-Vargas, Edwin Graduate Program in Water Resources Engineering School of Civil Engineering Universidad Nacional de Huancavelica Lima Peru Graduate Program in Water Resources Engineering Universidad Nacional Agraria la Molina Lima Peru Dept. of Civil Engineering Universidad Nacional Jorge Basadre Grohmann Tacna Peru

ISBN: (数字)9780784484852

ISBN: (纸本)9780784484852

Forecasting the El Niño-Southern Oscillation (ENSO) is one of the most challenging tasks because ENSO events show large differences in their amplitude, temporal evolution, and spatial pattern. This research discusses a deep neural network model that integrates convolutional short-term and long-term memory (ConvLSTM) to forecast the patterns of sea surface temperature that represent the evolution of ENSO over different time horizons with simultaneous space-time sequences in the Niño 3.4 and Niño 1+2 regions. Monthly gridded sea surface temperature and anomaly index data were used in El Niño regions for the period 1854-2021. In general, the methodology includes the sea surface temperature (SST) normalization of the tropical Pacific, the creation and selection of the architecture of the deep neural network model, and the training and validation. Furthermore, the forecast and evaluation of the SST and SST anomalies in space-time with the El Niño of 1982/1983 and 1997/1998 and with different time horizons for the test stage were developed. The results show a good model performance with ENSO data for El Niño 1982/1983 (training) and El Niño 1997/1998 (validation) in space and time, and with climatic indices for regions 3.4 and 1+2. The model performance was evaluated using statistical metrics of observed and forecasted data over six months in the equatorial Pacific Ocean (latitude 10°S-10°N and longitude 140°E-80°W). In general, all the metrics used to evaluate the accuracy and forecast of the model show a range from good to excellent for both El Niño regions in the six months of forecast. © World Environmental and water resources Congress *** rights reserved

关键词： Surface temperature

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Prospecting toxicity of the avobenzone sunscreen in plants

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Environmental Science and Pollution Research 2024年第31期31卷 44308-44317页

作者： Beijora, Sara Splendor Vaz, Thalia Aparecida Correia Santo, Diego Espirito de Almeida, Edson Araújo Junior, Osvaldo Valarini Parolin, Mauro da Silva Gonzalez, Regiane de Souza, Débora Cristina Peron, Ana Paula Chemical Engineering Course Federal Technological University of Paraná Campo Mourão Paraná Brazil Graduate Program in Environmental Engineering Federal Technological University of Paraná Paraná Francisco Beltrão Brazil Graduate Program in Chemistry State University of Maringá Paraná Maringá Brazil Academic Department of Food and Chemical Engineering Federal Technological University of Paraná Paraná Campo Mourão Brazil Graduate Program in Geography State University of Maringá Paraná Maringá Brazil Graduate Program in Food Technology Federal Technological University of Paraná Paraná Campo Mourão Brazil Graduate Program in Water Resources and Environmental Engineering Federal University of Paraná Paraná Brazil Graduate Program in Technological Innovations Federal Technological University of Paraná Via Rosalina Maria Dos Santos 1233 Paraná Campo Mourão87.301-899 Brazil

Avobenzone (AVO) is a sunscreen with high global production and is constantly released into the environment. Incorporating sewage biosolids for fertilization purposes, the leaching from cultivated soils, and the use of wastewater for irrigation explain its presence in the soil. There is a lack of information about the impact of this sunscreen on plants. In the present study, the ecotoxicity of AVO was tested at concentrations 1, 10, 100, and 1,000 ng/L. All concentrations caused a reduction in root growth of Allium cepa, Cucumis sativus, and Lycopersicum esculentum seeds, as well as a mitodepressive effect, changes in the mitotic spindle and a reduction in root growth of A. cepa bulbs. The cell cycle was disturbed because AVO disarmed the enzymatic defense system of root meristems, leading to an accumulation of hydroxyl radicals and superoxides, besides lipid peroxidation in cells. Therefore, AVO shows a high potential to cause damage to plants and can negatively affect agricultural production and the growth of non-cultivated plants. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Cell proliferation

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Toxicity of the emerging pollutants propylparaben and dichloropropylparaben to terrestrial plants

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Environmental Science and Pollution Research 2024年第33期31卷 45834-45846页

作者： Okon, Caio Rocha, Mylena Bathke de Souza Ratuchinski, Lizandra Santo, Diego Espirito Duarte, Charla Chaionara Schults de Lima Feitoza, Lidiane Junior, Osvaldo Valarini Ferreira, Paulo Michel Pinheiro de Almeida, Edson Araújo Halmemam, Maria Cristina Oliveira dade SilvaOliveira, Danielle Cristina da Silva Gonzalez, Regiane de Souza, Débora Cristina Peron, Ana Paula Chemical Enginnering Course Federal Technological University of Paraná Paraná Campo Mourão Brazil Graduate Program in Environmental Engineering Federal Technological University of Paraná Paraná Francisco Beltrão Brazil Academic Department of Biological Sciences Federal University of Piauí Piauí Teresina Brazil Academic Department of Food and Chemical Engineering Federal Technological University of Paraná Paraná Campo Mourão Brazil Academic Department of Biophysics and Physiology Federal University of Piauí Piauí Teresina Brazil Graduate Program in Chemistry State University of Maringá Paraná Maringá Brazil Department of Biodiversity and Nature Conservation Federal Technological University of Paraná Paraná Campo Mourão Brazil Academic Department of Chemistry Federal Technological University of Paraná Paraná Campo Mourão Brazil Graduate Program in Food Technology Federal Technological University of Paraná Paraná Campo Mourão Brazil Graduate Program in Water Resources and Environmental Engineering Federal University of Paraná Paraná Brazil Graduate Program in Technological Innovations Federal Technological University of Paraná Via Rosalina Maria Dos Santos Paraná Campo Mourão1233 Brazil

Propylparaben (PrP) and dichloropropylparaben (diClPrP) are found in soil worldwide, mainly due to the incorporation of urban sludge in crop soils and the use of non-raw wastewater for irrigation. Studies on the adverse effects of PrP on plants are incipient and not found for diClPrP. PrP and diClPrP were evaluated at concentrations 4, 40, and 400 µg/L for their phytotoxic potential to seeds of Allium cepa (onion), Cucumis sativus (cucumber), Lycopersicum sculentum (tomato), and Lactuca sativa (lettuce), and cytotoxic, genotoxic potential, and for generating oxygen-reactive substances in root meristems of A. cepa bulbs. PrP and diClPrP caused a significant reduction in seed root elongation in all four species. In A. cepa bulb roots, PrP and diClPrP resulted in a high prophase index;in addition, PrP at 400 µg/L and diClPrP at the three concentrations significantly decreased cell proliferation and caused alterations in a significant number of cells. Furthermore, diClPrP concentrations induced the development of hooked roots in onion bulbs. The two chemical compounds caused significant changes in the modulation of catalase, ascorbate peroxidase, and guaiacol peroxidase, disarming the root meristems against hydroxyl radicals and superoxides. Therefore, PrP and diClPrP were phytotoxic and cytogenotoxic to the species tested, proving dangerous to plants. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Oxygen

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Assessing the Performance of Machine Learning Algorithms for water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High water Levels

SSRN

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SSRN 2024年

作者： Priyasiri, Wilmat D.S.M. Rittima, Areeya Kraisangka, Jidapa Sawangphol, Wudhichart Phankamolsil, Yutthana Talaluxmana, Yutthana Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Thailand Faculty of Information and Communication Technology Mahidol University Thailand Environmental Engineering and Disaster Management Program Mahidol University Kanchanaburi Campus Thailand Department of Water Resources Engineering Faculty of Engineering Kasetsart University Thailand

High precision of hydrological prediction is crucial for real–time operation of flood and drought risk mitigation and strategic planning. This study assessed the predictive performances of three Machine Learning (ML) algorithms;XGBoost, Random Forest (RF), and Multi–Layer Neural Networks (MLNNs) for water level prediction with a focus on low and high water levels. The one–day and one–week water level prediction models for six key gauged stations along the Chao Phraya River and its major tributaries were accordingly developed. Selecting the combination of input features was carried out and structured in the prediction model at all gauged stations based on the physical river–reservoir system using past water level, rainfall, controlled reservoir outflow, and upstream discharges with different travel times. The statistical evaluation indicated that both XGBoost and RF, the tree–based ML models, with rainfall input robustly outperformed than MLNNs, as it strongly achieved higher R2 from 0.957 to 0.999 for model training and from 0.743 to 0.995 for model testing and lower MAE, MSE, and RMSE values for all prediction scenarios. Among these three ML algorithms applied for daily prediction, RF demonstrated the superior performance for low water level prediction exhibiting the smallest percentage error of overestimating lying between +0.0088% and +0.9380%. XGBoost, RF, and MLNNs, demonstrated acceptable performance level for high water level prediction as it shows small percentage error of both overestimating and underestimating lying between –2.2696% and +1.1587%. Additionally, it can capture the entire testing dataset with high precision than weekly model. © 2024, The Authors. All rights reserved.

关键词： Rain

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ANALYSIS OF NITROGEN FLOW IN FOOD WASTE: A CASE STUDY OF THE UNIVERSITY RESTAURANT-UNB 32nd

ANALYSIS OF NITROGEN FLOW IN FOOD WASTE: A CASE STUDY OF THE...

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32nd European Biomass Conference and Exhibition, EUBCE 2024

作者： Ramos, Arthur Augusto Frasson De Brites, Eneida Campos Felipe Soares, Raquel Moraes Silveira, Edgar A. Contreras, Francisco University of Brasilia Department of Civil and Environmental Engineering DF Brasilia70910-900 Brazil University of Brasilia Graduate Program on Environmental Technology and Water Resources Department of Civil and Environmental Engineering DF Brasilia70910-900 Brazil Federal Institute of Education Science and Technology of Brasília Estrutural Campus DF Brasília71250-000 Brazil University of Brasília Mechanical Sciences Graduate Program Laboratory of Energy and Environment DF Brasilia70910-900 Brazil

With the projected global population reaching 9.7 billion by 2050, the production and consumption of food continue to escalate. Nitrogen is pivotal in this landscape due to its significance in living organisms and the environmental repercussions associated with nutrient-rich waste. Inappropriate disposal of such residues contributes to nitrogen release into the environment, impacting aquatic ecosystems and precipitating the generation of greenhouse gases. This study tackles the global challenge of effectively managing nitrogen in food waste by utilizing Material Flow Analysis (MFA) as a tool to comprehend this cycle. The analysis uncovered that vegetables, legumes, and fruits constitute the primary sources of waste generation, while meats, despite their lower mass, account for a substantial proportion of total nitrogen depletion. In the surveyed month of October 2023, 174,834 meals were served, resulting in an average food consumption N-footprint of 0.003 kg of nitrogen discarded per individual meal within the restaurant’s organic waste. These findings indicate that 65% of nitrogen is consumed in meal form, while 35% is discarded as organic solid waste. However, 53% of the nitrogen in the residues originates from food preparation processes, with food preparation responsible for over half of this figure. A deeper process analysis reveals that vegetables have low nitrogen concentrations, although they significantly contribute to waste at all stages. In contrast, meats and eggs, with higher nitrogen concentrations, emerge as noteworthy contributors to the overall nitrogen content in waste. Vegetables and meats contribute about 50% and 45% of the total nitrogen, respectively. These outcomes substantially enhance our comprehension of waste generation dynamics and nutrient utilization at the university restaurant, assisting with waste management, design of sustainable menus, reduction of food waste, and optimized resource utilization, contributing to sustainability and re

关键词： Effluent treatment

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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Understanding the interplay of sludge characteristics and dewatering in water treatment plants: a review

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Environmental Technology Reviews 2024年第1期13卷 794-813页

作者： Paffrath, Silvia F. Carissimi, Elvis Schner, Jéssica C. N. Ferrari, Keila F. H. Etchepare, Ramiro G. Graduate Program in Water Resources and Environmental Engineering Federal University of Paraná Curitiba Brazil Department of Sanitary and Environmental Engineering Federal University of Santa Maria Santa Maria Brazil Graduate Program in Civil Engineering Federal University of Santa Maria Santa Maria Brazil Department of Hydraulics Sanitation Federal University of Paraná Curitiba Brazil

In the realm of water supply and the management of residues arising from water treatment plants (WTP), an essential challenge lies in understanding and characterising sludge, and assessing whether these characteristics impact sludge dewatering, an essential step to reduce the management costs of these wastes. This review focuses specifically on the characterisation of sludge properties relevant to dewatering performance, addressing an underexplored aspect within recent literature on water treatment plant sludge (WTS). Unlike prior studies, which predominantly focus on sludge reuse after dewatering, this review systematically examines the direct correlations and interdependencies between sludge characteristics and dewatering outcomes, addressing gaps in literature. A bibliometric analysis of global WTS research revealed an annual average of fewer than 14 publications since 1957. Keywords related to sludge characteristics are notably scarce in connection with ‘dewatering’, highlighting a specific gap that this review aims to address. This review categorises sludge characteristics into ‘micro-properties’ and ‘macro-properties’, providing detailed descriptions of each. The latter primarily influence dewatering and are generally unmeasured in WTPs due to the inherent difficulties in their determination. However, it’s possible to derive macro-properties from micro-properties, establishing their relationship and subsequently selecting an appropriate dewatering technique. Main findings underscore direct proportionality between: viscosity (micro) and capillary suction time–CST (macro), solid concentration–SC (micro) and CST;and inverse proportionality between: SC and specific resistance to filtration–SRF (macro). These findings contribute a refined understanding of parameters affecting sludge dewatering processes, supporting further research focused on enhancing efficiency in WTS management. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Dewatering

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Microplastics in wastewater and sludge from centralized and decentralized wastewater treatment plants: Effects of treatment systems and microplastic characteristics

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Chemosphere 2024年 361卷 142536页

作者： Maw, Me Me Boontanon, Narin Aung, Humm Kham Zan Zan Jindal, Ranjna Fujii, Shigeo Visvanathan, Chettiyappan Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73710 Thailand Research Center and Technology Development for Environmental Innovation Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73710 Thailand Graduate School of Global Environmental Studies Kyoto University Kyoto606-8501 Japan

Domestic wastewater treatment plants (WWTPs) play a vital role in limiting the release of microplastics (MP) into the environment. This study examined MP removal efficiency from five centralized and four decentralized domestic WWTPs in Bangkok, Thailand. MP concentrations in wastewater and sludge were comparable between centralized and decentralized WWTPs, despite these decentralized WWTPs serving smaller populations and having limited treatment capacity. The elimination of MPs ranged from 50 to 96.8% in centralized WWTPs and 14.2–53.6% in decentralized WWTPs. It is noted that the retained MPs concentrations in sludge ranged from 20,000 to 228,100 MP/kg dry weight. The prevalence of synthetic fibers and fragments could be attributed to their pathways from laundry or car tires, and the accidental release of a variety of plastic wastes ended up in investigated domestic WWTPs. Removal of MPs between the centralized and decentralized WWTPs was influenced by several impact factors including initial MP concentrations, longer retention times, MP fragmentation, and variations of MP concentrations in sludge leading to different activated sludge process configurations. Sewage sludge has become a primary location for the accumulation of incoming microplastics in WWTPs. The MPs entering and leaving each unit process were varied due to the unique characteristics of MPs, and their different treatment efficiencies. While the extended hydraulic retention period in decentralized WWTPs decreased the MP removal efficacy, the centralized WWTP with the two-stage activated sludge process achieved the highest MP removal efficiency. © 2024 The Authors

关键词： Microplastic

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Human-nature relationships and its implications on the management of eastern arc water catchments of Tanzania

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water Science 2023年第1期37卷 11-17页

作者： Lema, M.W. Kapinga, A.G. Madamombe, G.T. Kwawuvi, D. Department of Environmental Engineering and Management University of Dodoma Dodoma Tanzania Department of Environmental Management Pan Africa University Life and Earth Sciences Institute (PAULESI) University of Ibadan Ibadan Nigeria Environmental Management Renewable Energy and Climate Change Research Centre Harare Institute of Technology Harare Zimbabwe Graduate Research Program on Climate Change and Water Resources University of Abomey-Calavi du Benin Abomey Benin

This study is aimed at understanding the Human–Nature Relationships (HNRs) in the Lower Mngeta and Upper Zigi catchments, as parts of Eastern Arc water catchment areas, in the United Republic of Tanzania. This study employed the Theory of Planned Behavior (TPB) and Norm-Activation Model (NAM) to understand the position of humans in the two catchments’ ecosystems. The study design involved Focus Group Discussions, Key Informant Interview, and Household Questionnaire Surveys. A total of 310 (185 males and 125 females) villagers were involved in this study. Furthermore, four HRN typologies, master over nature, partner with nature, a participant in nature, and steward of nature, were adopted. The study findings indicated that there was no significant difference (X ² test, p > 0.05) in HNRs between the two catchments. Moreover, master over nature typology was dominant in both catchments, with values of 59.4% (n = 200) and 59.5% (n = 85) in Lower Mngeta and Upper Zigi, respectively. The main reason is that HNR is dependent on the nature of the livelihood activities and the mode of subsistence of a particular community. It was also found that the communities in Lower Mngeta and Upper Zigi catchments are mostly dependent on agricultural and hunting activities that highly depended on the two catchment resources. This study, therefore, recommends an increase in the level of community participation in all decision-making activities, as well as an increase in environmental education for sustainable utilization and management of the two catchment resources. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Catchment master Mngeta participant Zigi

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Drought propagation in an Andean basin in South America: a spatio-temporal analysis approach with monitoring indices

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Arabian Journal of Geosciences 2025年第3期18卷 1-21页

作者： Ocampo-Marulanda, Camilo Mera-Franco, Julián David Lizcano, Víctor Augusto Carvajal-Escobar, Yesid Canchala, Teresita Zorrilla-Millan, Daniel Felipe Caicedo-Bravo, Eduardo Water Resources Engineering and Soil Research Group (IREHISA) School of Natural Resources and Environmental Engineering Universidad del Valle Cali Colombia Graduate Program in Biometrics and Applied Statistics Department of Statistics and Informatics Federal Rural University of Pernambuco Recife Brazil School of Exact Sciences and Engineering Universidad Sergio Arboleda Bogotá Colombia Programa de Ingeniería Ambiental Facultad de Ingeniería Universidad Mariana Pasto Colombia School of Electrical and Electronic Engineering Universidad del Valle Cali Colombia

Drought is a climatic phenomenon that has increased in severity over time. This study analyzed drought spread in the Alto Patía basin (13,047 km2) in South America, applying the Standardized Precipitation Index (SPI), Vegetation Health Index (VHI), and Streamflow Drought Index (SDI) to assess meteorological, agricultural, and hydrological drought, respectively. Synchronous and asynchronous correlations were estimated, and Wavelet analysis was conducted to verify relationships among drought types. Results show that the lag between drought types varies based on the intensity, temporal continuity, and spatial extent of meteorological drought. A lag of zero months (1–2 months) was observed between meteorological and hydrological drought when moderate (severe) meteorological drought partially (fully) covers the basin. Agricultural drought, however, does not always correspond to meteorological drought during isolated rainfall events. As the first study in Colombia to systematically connect these drought types, this research addresses a gap in understanding how drought impacts progress across systems in regions with complex rainfall patterns. These findings offer critical insights into the interdependencies among drought types, supporting enhanced drought monitoring and early warning systems in similar climatic regions. By identifying specific lags between meteorological and hydrological droughts, this study provides practical guidance for land management, water conservation, and crop planning, offering a foundation for future research on drought resilience strategies.

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