Optimizing Suspended Sediment Models: A Novel Expert System with Spatial Probabilities and Isolated Points DOI Open Access
Mira Sabat, Abdelali Terfous, Abdellah Ghenaim

и другие.

Water, Год журнала: 2024, Номер 16(24), С. 3575 - 3575

Опубликована: Дек. 12, 2024

Predicting suspended sediment concentration (SSC) profiles with high accuracy remains a critical challenge for environmental and engineering applications. This study presents novel, data-driven expert system that leverages knowledge-based framework to select optimal SSC models based on diverse flow conditions. The utilizes model function ranges spatial relationships between data points as key decision factors. methodology is applied vertical velocity distribution in steady uniform river flows. systematically extracts categorizes influencing parameters, generating weighted averages interpolate extrapolate where single exhibit limitations. Two weight calculation methods are implemented: (1) conditional probability approach utilizing within control cells, (2) an isolated point analysis distances cell centers. exhibits some similarities Voronoi tessellations associated Laplace Sibson weights, offering robust innovative method modeling. proposed empowers hydrologists engineers by selecting applying the most suitable different scenarios, leading enhanced prediction reliability. work represents significant advancement field of transport modeling, providing valuable tool improved water resource management protection.

Язык: Английский

Integrate bubble flotation and intermittent microbubble-enhanced cold plasma activation for scalable disinfection of food processing wastewater DOI Creative Commons
Deepak Panchal, Qiuyun Lu,

Ziya Saedi

и другие.

Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 131677 - 131677

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP) DOI
Khaled Merabet, Fabio Di Nunno, Francesco Granata

и другие.

Earth Science Informatics, Год журнала: 2025, Номер 18(3)

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

2

Depth-Adaptive Air and Underwater Invisible Light Communication System with Aerial Reflection Repeater Assistance DOI Creative Commons
Takahiro Kodama,

Keita Tanaka,

Kiichiro Kuwahara

и другие.

Information, Год журнала: 2025, Номер 16(1), С. 19 - 19

Опубликована: Янв. 2, 2025

This study proposes a novel optical wireless communication system for high-speed, large-capacity data transmission, supporting underwater IoT devices in shallow seas. The employs mirror-equipped aerial drone as relay between drones and terrestrial station, using 850 nm signals low atmospheric loss enhanced confidentiality. Adaptive modulation optimizes transmission capacity based on SNR, accounting air channel characteristics. Experiments confirmed an exponential SNR decrease with distance (0.6–1.8 m) demonstrated successful 4K UHD video streaming seawater (turbidity: 2.2 NTU) without quality loss. design ensures cost-effectiveness stable alignment advanced posture control.

Язык: Английский

Процитировано

0

Underwater Invisible Light Communication Network with Beam Steering Technology for Dynamic Switching Between Aerial and Underwater Optical Paths DOI Creative Commons

Kiichiro Kuwahara,

Keita Tanaka,

Ayumu Kariya

и другие.

Sensors, Год журнала: 2025, Номер 25(4), С. 1053 - 1053

Опубликована: Фев. 10, 2025

This study proposes a bidirectional underwater optical wireless communication network that maximizes data transmission capacity by dynamically switching between and aerial paths based on channel conditions. The proposed system employs adaptive modulation beam steering techniques to address dynamic factors, such as turbidity distance, in channels. experimental results revealed the path when distance exceeded 1.8 m led significant performance improvements, with consistent SNR bit rates maintained channel, unlike exponential degradation observed underwater. Dynamic evaluations demonstrated high stability, even incremental increases distances. In 4K UHD video streaming experiment, from reduced quality degradation, delivering near-original latency low 20 ms. Furthermore, tolerance experiments for misalignment showed sharp drop at maximum of 2 degrees, 12 dB loss reduction 222 Mbps capacity. These findings suggest selectively utilizing conditions enables reliable efficient transmission, paving way next-generation networks.

Язык: Английский

Процитировано

0

The study on the effect of lipid composition of beef tallow on muddy soup in hotpot DOI

Siyue Liu,

Huiyu Kuang,

Tao Yuan

и другие.

Journal of Food Composition and Analysis, Год журнала: 2025, Номер unknown, С. 107405 - 107405

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Green Solutions to Valorize Marine Dredged Sediments as an Anthropogenic Geomaterial DOI
Mrunal S Bokade, Devendra Narain Singh

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 116219 - 116219

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Effect of Soluble Alcohol on the Foamability of Silica Nanoparticles in Combination with Quaternary Ammonium Surfactant DOI
Yulong Jiang, Danhua Xie

Colloids and Surfaces A Physicochemical and Engineering Aspects, Год журнала: 2025, Номер unknown, С. 136779 - 136779

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Water Quality in School Environments: a Case Study in Southeastern Pará DOI Creative Commons
Samara Araújo Kawall,

Lia Milria Ximendes Silva,

L. Ribeiro

и другие.

Revista de Gestão e Secretariado (Management and Administrative Professional Review), Год журнала: 2025, Номер 16(4), С. e4815 - e4815

Опубликована: Апрель 4, 2025

The study evaluated the quality of water consumed at Deuzuita Melo de Albuquerque Municipal School in Marabá/PA, aiming for compliance with standards Ordinance GM/MS No. 888/2021 and international guidelines. research analysed physicochemical parameters (pH, residual chlorine, turbidity, apparent color) microbiological indicators (total coliforms Escherichia coli) three school drinking fountains. samples indicated regulatory limits, ensuring potability. supply system consists an artesian well 8,000-liter reservoir, maintenance periodic analysis conducted by Quântica Laboratório Ambiental. data demonstrated effective disinfection, balanced pH (6.0–9.5), low turbidity (<1 TU), absence E. coli. underscores importance continuous monitoring environments to prevent waterborne diseases ensure health academic performance. findings contribute public policies focused on management infrastructure, emphasizing educational environmental awareness initiatives.

Язык: Английский

Процитировано

0

Evaluating constructed wetlands with water hyacinth for greywater treatment: Media comparison and ANN-based predictive modelling DOI
Chandrashekhar Parab,

Akshit Patel,

Kunwar D. Yadav

и другие.

Bioresource Technology Reports, Год журнала: 2025, Номер unknown, С. 102112 - 102112

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Water Quality Monitoring: A Water Quality Dataset from an On-Site Study in Macao DOI Creative Commons

Jessica Gao,

Bochao Chen,

Su-Kit Tang

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4130 - 4130

Опубликована: Апрель 9, 2025

The Building Safe Water Use Plan promoted by the Macao Marine and Bureau aims to encourage property management entities regularly maintain building water supply systems ensure safety stability of drinking water. However, traditional laboratory testing methods are often time-consuming labor-intensive, making real-time efficient quality monitoring challenging. To address this issue, study proposes a Raspberry Pi-based multi-sensor system for rapid detection improved efficiency. This integrates multiple sensors measure key parameters, such as pH, total dissolved solids (TDSs), temperature, turbidity, while recording data in real-time. were continuously collected over period five months (July November 2024). analyzed validated using machine learning algorithms, including Isolation Forest, Random Logistic Regression, Local Outlier Factor. Among these models, Forest exhibited best overall performance, achieving an accuracy 98.10% F1 score 98.99%. These results show that dataset demonstrates high reliability anomaly classification tasks, accurately identifying deviations quality. approach not only enhances efficiency but also provides technological support urban management.

Язык: Английский

Процитировано

0