Water Research X最新文献_第3页

Spatial-economic scenarios to increase resilience to urban flooding 提高城市洪水抵御能力的空间经济情景。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100284

Maria Chiara Lippera , Ganbaatar Khurelbaatar , Daneish Despot , Gislain Lipeme Kouyi , Anacleto Rizzo , Jan Friesen

{"title":"Spatial-economic scenarios to increase resilience to urban flooding","authors":"Maria Chiara Lippera , Ganbaatar Khurelbaatar , Daneish Despot , Gislain Lipeme Kouyi , Anacleto Rizzo , Jan Friesen","doi":"10.1016/j.wroa.2024.100284","DOIUrl":"10.1016/j.wroa.2024.100284","url":null,"abstract":"<div><div>Due to accelerating climate change and the need for new development to accommodate population growth, adaptation of urban drainage systems has become a pressing issue in cities. Questions arise whether decentralised urban drainage systems are a better alternative to centralised systems, and whether Nature Based Solutions' (NBS) multifunctionality also brings economic benefits. This research aims to develop spatio-economic scenarios to support cities in increasing their resilience to urban flooding with NBS. The novelty of our work lies in the automated routines to assess the potential for decentralised NBS within the existing urban catchment. The identification of locations and dimensioning is based on open, publicly available geospatial data. Moreover, a block-based decentralization potential metric is developed to indicate stormwater mitigation potential in any urban setting. The Ecully catchment, Lyon metropolitan area (France), is presented as a case study to achieve zero combined sewer overflow (CSO) for specific design storm events. This planning workflow enables project cost savings through the most suitable allocation of distributed interventions, with cost functions also incorporating scaling effects. By reducing the number of decentralised NBS sites compared to smaller, wide-distributed interventions up to 34 % of project costs are saved when planning for a 5-year design storm and up to 7 % for a 100-year design storm. When the decentralised NBS scenario is analysed alongside other urban stormwater management practices, the centralised constructed wetland for CSO results to be the most economical solution due to the higher retention capacity and scaling effect, significantly outperforming the grey alternatives.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100284"},"PeriodicalIF":7.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events 基于概率深度学习的冲击负荷事件下污水处理厂出水水质预测。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100291

Hailong Yin , Yongqi Chen , Jingshu Zhou , Yifan Xie , Qing Wei , Zuxin Xu

{"title":"A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events","authors":"Hailong Yin , Yongqi Chen , Jingshu Zhou , Yifan Xie , Qing Wei , Zuxin Xu","doi":"10.1016/j.wroa.2024.100291","DOIUrl":"10.1016/j.wroa.2024.100291","url":null,"abstract":"<div><div>Sudden shocking load events featuring significant increases in inflow quantities or concentrations of wastewater treatment plants (WWTPs), are a major threat to the attainment of treated effluents to discharge quality standards. To aid in real-time decision-making for stable WWTP operations, this study developed a probabilistic deep learning model that comprises encoder-decoder long short-term memory (LSTM) networks with added capacity of producing probability predictions, to enhance the robustness of real-time WWTP effluent quality prediction under such events. The developed probabilistic encoder-decoder LSTM (P-ED-LSTM) model was tested in an actual WWTP, where bihourly effluent quality prediction of total nitrogen was performed and compared with classical deep learning models, including LSTM, gated recurrent unit (GRU) and Transformer. It was found that under shocking load events, the P-ED-LSTM could achieve a 49.7% improvement in prediction accuracy for bihourly real-time predictions of effluent concentration compared to the LSTM, GRU, and Transformer. A higher quantile of the probability data from the P-ED-LSTM model output, indicated a prediction value more approximate to real effluent quality. The P-ED-LSTM model also exhibited higher predictive power for the next multiple time steps with shocking load scenarios. It captured approximately 90% of the actual over-limit discharges up to 6 hours ahead, significantly outperforming other deep learning models. Therefore, the P-ED-LSTM model, with its robust adaptability to significant fluctuations, has the potential for broader applications across WWTPs with different processes, as well as providing strategies for wastewater system regulation under emergency conditions.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100291"},"PeriodicalIF":7.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142886490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-purpose elemental sulfur for capturing and accelerating biodegradation of petroleum hydrocarbons in anaerobic environment 双用途单质硫在厌氧环境中捕获和加速石油烃的生物降解。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100290

Qian Zhao , Chengmei Liao , Enli Jiang , Xuejun Yan , Huijuan Su , Lili Tian , Nan Li , Fernanda Leite Lobo , Xin Wang

{"title":"Dual-purpose elemental sulfur for capturing and accelerating biodegradation of petroleum hydrocarbons in anaerobic environment","authors":"Qian Zhao , Chengmei Liao , Enli Jiang , Xuejun Yan , Huijuan Su , Lili Tian , Nan Li , Fernanda Leite Lobo , Xin Wang","doi":"10.1016/j.wroa.2024.100290","DOIUrl":"10.1016/j.wroa.2024.100290","url":null,"abstract":"<div><div>Hydrophobic organic pollutants in aqueous environments are challenging to biodegrade due to limited contact between microorganisms, the pollutants and the electron acceptor, particularly under anaerobic or anoxic conditions. Here, we propose a novel strategy that uses inexpensive, dual-function elemental sulfur (S<sup>0</sup>) to enhance biodegradation. Using petroleum hydrocarbons as the target pollutants, we demonstrated that hydrophobic and nonpolar S° can concentrate hydrocarbons while simultaneously serving as an electron acceptor to enrich hydrocarbon-degrading bacteria. The permeable reactive barrier filled with S<sup>0</sup> effectively removed petroleum hydrocarbons. In addition to rapid adsorption, we discovered, for the first time, that petroleum hydrocarbons underwent efficient biodegradation through the reduction of S<sup>0</sup>. Specifically, n-alkanes were degraded by 80 % to 90 % and polycyclic aromatic hydrocarbons by 40 % to 95 %. These degradation rates were 17 % to 30 % and 26 % to 43 % higher, respectively, compared to those observed without S<sup>0</sup>. Consecutive subcultures combined with untargeted metabolomics analysis revealed that bacteria capable of dissimilatory sulfur reduction enhanced the fermentation process. These bacteria provided electrons to the metabolic network, which facilitated the mineralization of petroleum hydrocarbons. Our findings highlight the significant potential of S° for removing hydrophobic organic pollutants in oxygen-free environments, demonstrate the feasibility of integrating adsorption, biodegradation, and electron supply to enhance pollutant removal.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100290"},"PeriodicalIF":7.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664143/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2025.100309

Minjian Li , Chongqiao Tang , Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

{"title":"Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption","authors":"Minjian Li , Chongqiao Tang , Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren","doi":"10.1016/j.wroa.2025.100309","DOIUrl":"10.1016/j.wroa.2025.100309","url":null,"abstract":"<div><div>Benchmarking electricity consumption of wastewater treatment plants (WWTPs) is fundamental for sustainable wastewater management, as these facilities have a concomitant electricity-intensive nature along with their pollutant removal and resource recovery functions. Due to the challenge of characterizing influent water quality using traditional methods, satisfactory benchmarks have long been elusive. To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R<sup>2</sup>) >0.85. The benchmarks are established with four critical parameters influencing electricity consumption: scale, influent quality, discharge standard and treatment process. Regional variations of the four parameters and their effects on regional WWTP electricity consumption are elaborated. Results indicate that the overall influent concentration characterized by spectral clustering is the major influencing factor of regional WWTP annual average electricity consumption per unit of volume (UEC). The findings not only enhance understanding of WWTP electricity consumption patterns and provide a scalable model for wider application, but also demonstrate a novel methodology for addressing multi-variable problems.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100309"},"PeriodicalIF":7.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143347437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Full-scale simultaneous partial nitrification, anammox, and denitrification for the efficient treatment of carbon and nitrogen in low-C/N wastewater 大规模同时部分硝化、氨氧化和反硝化，高效处理低碳氮比废水中的碳和氮。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100288

Xi Cao , Tianqi Liu , Xiang Li , Yong Huang , Qin Nie , Ming Li

{"title":"Full-scale simultaneous partial nitrification, anammox, and denitrification for the efficient treatment of carbon and nitrogen in low-C/N wastewater","authors":"Xi Cao , Tianqi Liu , Xiang Li , Yong Huang , Qin Nie , Ming Li","doi":"10.1016/j.wroa.2024.100288","DOIUrl":"10.1016/j.wroa.2024.100288","url":null,"abstract":"<div><div>A full-scale simultaneous partial nitrification, anaerobic ammonia oxidation (anammox), and denitrification (SNAD) reactor was initiated to address the problem of high energy consumption for the treatment of low C/N wastewater. The SNAD system achieved a nitrogen removal rate of 0.9 kg/(m<sup>3</sup>·d) at an influent NH₄<sup>+</sup>–N concentration of 500 mg/L after 450 days of stable operation. Partial nitrification was achieved by maintaining free ammonia levels at 0.8 ± 0.3 mg/L and dissolved oxygen concentrations between 0.3 mg/L and 1.2 mg/L, which resulted in synergistic nitrogen removal, with anammox contributing 61 % and denitrification contributing 39 %. Microbiological analyses indicated that the dominant microorganisms were <em>Candidatus Brocadia, Thauera, Denitratisoma</em>, and <em>Nitrosomonas</em>. In conclusion, study provides a solid foundation for the broader implementation of the SNAD process in wastewater treatment systems.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100288"},"PeriodicalIF":7.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-12-31 DOI: 10.1016/j.wroa.2024.100300

Francesco De Paola , Francesco Pugliese , Nicola Fontana , Maurizio Giugni

{"title":"A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks","authors":"Francesco De Paola , Francesco Pugliese , Nicola Fontana , Maurizio Giugni","doi":"10.1016/j.wroa.2024.100300","DOIUrl":"10.1016/j.wroa.2024.100300","url":null,"abstract":"<div><div>Pumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. One of the most effective strategies to ensure economic sustainability is Pump Scheduling (PS), assuring the optimization of pump management and enabling significant energy cost saving. Meta-heuristic algorithms can be applied to Pump Scheduling, given their ability to provide reliable global solutions, further complemented by limited computational efforts. Nevertheless, they do not assure the achievement of the optimal global solution.</div><div>In this paper, the Pump Scheduling optimization was solved by applying a modified Harmony Search (HS) algorithm, aimed at optimizing the energy consumption and the maintenance costs of pumps, by limiting the number of daily switches. The EPANET 2.0 solver was employed for hydraulic simulations and novel setting equations and penalties were included to limit the number of feasible solutions. The model was tested on two benchmark water networks, showing its capability to return near-optimal solutions within a short computational time.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100300"},"PeriodicalIF":7.2,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11757763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-12-28 DOI: 10.1016/j.wroa.2024.100297

Luka Vinokić , Milan Dotlić , Veljko Prodanović , Slobodan Kolaković , Slobodan P. Simonovic , Milan Stojković

{"title":"Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment","authors":"Luka Vinokić , Milan Dotlić , Veljko Prodanović , Slobodan Kolaković , Slobodan P. Simonovic , Milan Stojković","doi":"10.1016/j.wroa.2024.100297","DOIUrl":"10.1016/j.wroa.2024.100297","url":null,"abstract":"<div><div>This study evaluates three Machine Learning (ML) models—Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)—focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting. TKAN demonstrated strong alignment with observed statistical parameters, achieving a Mean Absolute Error (MAE) of 5.799 m³/s and a Nash-Sutcliffe Efficiency (NSE) of 0.958, compared to MAE and NSE values of 8.865 m³/s and 0.942 for LSTM, and 5.706 m³/s and 0.961 for TCN, respectively. Multi-step forecasting revealed TKAN's robust performance up to a three-day forecast horizon, with a slight decline in accuracy as the forecast period extended. Uncertainty analysis indicated reasonable variance levels, with a mean 3-day forecast uncertainty of 35.02% at a 95% confidence level for TKAN, compared to 39.95% for LSTM and 28.46% for TCN. For a 7-day forecast, TKAN showed a mean uncertainty of 40.97%, compared to 45.01% for LSTM and 36.22% for TCN. By enhancing model transparency and improving datasets, this study significantly advances the integration of machine learning into hydrological forecasting, offering robust methods for developing adaptive water management systems in response to changing climate conditions.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100297"},"PeriodicalIF":7.2,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11764612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smaller sizes of polyethylene terephthalate microplastics mainly stimulate heterotrophic N2O production in aerobic granular sludge systems

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-12-27 DOI: 10.1016/j.wroa.2024.100299

Yingrui Liu , Yanying He , Qian Lu , Tingting Zhu , Yufen Wang , Yindong Tong , Yingxin Zhao , Bing-Jie Ni , Yiwen Liu

{"title":"Smaller sizes of polyethylene terephthalate microplastics mainly stimulate heterotrophic N2O production in aerobic granular sludge systems","authors":"Yingrui Liu , Yanying He , Qian Lu , Tingting Zhu , Yufen Wang , Yindong Tong , Yingxin Zhao , Bing-Jie Ni , Yiwen Liu","doi":"10.1016/j.wroa.2024.100299","DOIUrl":"10.1016/j.wroa.2024.100299","url":null,"abstract":"<div><div>Widespread polyethylene terephthalate microplastics (PET MPs) have played unintended role in nitrous oxide (N<sub>2</sub>O) turnovers (i.e., production and consumption) at wastewater treatment plants (WWTPs). Mainstream aerobic granular sludge (AGS) systems possess potentially strong N<sub>2</sub>O-sink capability, which may be reduced by PET MPs stress through altering N<sub>2</sub>O-contributing pathways, electron transfer, and microbial community structures. In this study, the effects of PET MPs with two common particle sizes of effluent from WWTPs (0.1 and 0.5 mm) on N<sub>2</sub>O turnovers, production pathways and N<sub>2</sub>O-sink capability were systematically disclosed in AGS systems by a series of biochemical tests and molecular biological means to achieve the goal of carbon neutrality. The results indicated that 0.1 mm PET MPs could more significantly stimulate N<sub>2</sub>O production in AGS systems by inhibiting denitrifying metabolism, compared with control and 0.5 mm PET MPs systems. Specifically, 0.1 mm PET MPs slightly increased the relative abundance of <em>Nitrosomonas</em>, reducing N<sub>2</sub>O yields via promoting the hydroxylamine (NH<sub>2</sub>OH) oxidation pathway during nitrification. Also, 0.1 mm PET MPs inhibited the electron transport system activities and the relative abundance of N<sub>2</sub>O reductase, hindering N<sub>2</sub>O reduction during denitrification. Most importantly, 0.1 mm PET MPs more apparently reduced the N<sub>2</sub>O-sink capability based on the ratio of N<sub>2</sub>O reductase gene and nitrite reductase gene.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100299"},"PeriodicalIF":7.2,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Laboratory performance assessment of low-cost water level sensor for field monitoring in the tropics 用于热带地区野外监测的低成本水位传感器的实验室性能评估。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-12-26 DOI: 10.1016/j.wroa.2024.100298

Ning Ding , Qingchuan Zhu , Frederic Cherqui , Nicolas Walcker , Jean-Luc Bertrand-Krajewski , Perrine Hamel

{"title":"Laboratory performance assessment of low-cost water level sensor for field monitoring in the tropics","authors":"Ning Ding , Qingchuan Zhu , Frederic Cherqui , Nicolas Walcker , Jean-Luc Bertrand-Krajewski , Perrine Hamel","doi":"10.1016/j.wroa.2024.100298","DOIUrl":"10.1016/j.wroa.2024.100298","url":null,"abstract":"<div><div>As Water Sensitive Urban Design (WSUD) is a key strategy in integrated urban water management worldwide, there is a need for robust monitoring of WSUD systems. Being economical and flexible for operation and communication, low-cost sensor systems show great potential to mainstream digital water management. Yet, such systems are insufficiently tested, casting doubt on the reliability of their measurements. Here, we document a robust testing approach for a pressure transducer water level low-cost sensor (KIT0139) and a traditional sensor (OTT PLS) in both laboratory and field conditions. We tested six different devices under three temperatures relevant to tropical climate: 25, 30, 35 °C and proposed a field calibration approach. Results reveal that the low-cost sensors were robust as the six individual devices performed consistently under different testing conditions. After calibration, low-cost sensors provided sufficient accuracy (±10mm) and precision for water levels more than 0.05m. While varying water flow direction did not significantly influence the performance, we showed that calibration should be done for individual devices. In addition, large (>5 °C) variations in water temperature and varying wet/dry conditions may also influence the performance of the low-cost sensors. The field calibration approach was validated in a 3-month experiment, confirming that this model of low-cost sensor can effectively replace traditional sensors in the field in tropical climates. Our study confirms that systematic and thorough testing is needed for low-cost sensors systems to realize their full potential for scientific-grade applications. We provide practical recommendations to conduct such testing from the laboratory to the field.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100298"},"PeriodicalIF":7.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745960/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Continuous-flow phosphate removal using Cry-Ca-COS Monolith: Insights from dynamic adsorption modeling 使用Cry-Ca-COS整体石的连续流磷酸盐去除：来自动态吸附模型的见解。

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-12-13 DOI: 10.1016/j.wroa.2024.100296

Chanadda Phawachalotorn , Worawit Wongniramaikul , Satabodee Kaewnoo , Aree Choodum

{"title":"Continuous-flow phosphate removal using Cry-Ca-COS Monolith: Insights from dynamic adsorption modeling","authors":"Chanadda Phawachalotorn , Worawit Wongniramaikul , Satabodee Kaewnoo , Aree Choodum","doi":"10.1016/j.wroa.2024.100296","DOIUrl":"10.1016/j.wroa.2024.100296","url":null,"abstract":"<div><div>This study rigorously evaluates the adsorption performance of the Cry-Ca-COS monolith for phosphate removal in a column operation mode. Characterization of the material both before and after exhaustion in a continuous flow system (column form) showed no difference compared to results from a batch system (tablet form). The XPS results indicated that the adsorption mechanism of phosphate on the Cry-Ca-COS column involved surface microprecipitation and ligand exchange (inner-sphere complexation). A systematic examination of key parameters revealed that higher column height, lower flow rate, and higher initial phosphate concentration favor increased phosphate adsorption in continuous mode. The application of the developed system to a real wastewater sample resulted in a satisfactory removal efficiency of 99.16 %, along with a concurrent reduction in total suspended solids (TSS) by 63.07 %. The adsorption data were analyzed using five dynamic adsorption models—Adam-Bohart, Wolborska, Thomas, Yoon-Nelson, and Yan—employing both linear and non-linear approaches. The non-linear models demonstrated a better fit with the experimental data, as indicated by higher correlation coefficients (<em>R</em>² = 0.9994 in the Yoon-Nelson model). An analysis of comprehensive errors was also conducted to assess the adequacy and precision of the model equations.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100296"},"PeriodicalIF":7.2,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731986/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0