Predicting Soil Organic Carbon Content by Combining Unmanned Aerial Vehicle Multispectral Images and Machine Learning Algorithms

Journal of soil science and plant nutrition, Journal Year: 2025, Volume and Issue: unknown

Published: May 27, 2025

Language: Английский

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Evaluating the Service Capacity of Port-Centric Intermodal Transshipment Hub

Journal of Marine Science and Engineering, Journal Year: 2023, Volume and Issue: 11(7), P. 1403 - 1403

Published: July 12, 2023

Port-centric intermodal transshipment hubs are significant nodes in the global freight network and likewise gateway to a country’s external communications. It is vital increase service capacity of PCITHs, it necessary assess port-centric respond growth economies needs. This study provides detailed definition through review relevant kinds works from literature analyzes their primary functions. Based on research perspective sea–rail transportation, three evaluation dimensions divided into radiation scale capacity, transportation connection resource integration focusing functions cargo aggregation, transfer, different modes. The indicators were then selected based dimensions. subjective objective weightings calculated by G1 weighting method modified CRITIC method, combination determined game theory. capability was evaluated fuzzy matter element results quantified Euclidean closeness degree. Finally, barrier degree model, current PCITHs that urgently need improvement explored, targeted suggestions proposed this paper. show Tianjin Port has highest followed Ningbo Zhoushan Port. port rail dedicated line mileage most critical area needs attention Qingdao improve container volume, while Guangzhou Xiamen handling capacity.

Language: Английский

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Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(17), P. 4214 - 4214

Published: Aug. 27, 2023

Soil moisture is a key parameter for the circulation of water and energy exchange between surface atmosphere, playing an important role in hydrology, agriculture, meteorology. Traditional methods monitoring soil suffer from spatial discontinuity, time-consuming processes, high costs. Remote sensing technology enables non-destructive efficient retrieval land information, allowing rapid to schedule crop irrigation evaluate efficiency. Satellite data with different resolutions provide observation scales. Evaluating accuracy estimating based on open free satellite data, as well exploring comprehensiveness adaptability satellites temporal observations, are research contents current monitoring. The study utilized three types namely GF-1, Landsat-8, GF-4, respective 16 m (every 4 days), 30 50 (daily). gray relational analysis (GRA) was employed identify vegetation indices that selected sensitivity at varying depths (3 cm, 10 20 cm). Then, this random forest (RF), Extra Tree (ETr), linear regression (LR) algorithms estimate optical sources. results showed estimation growth stages. model exhibited upward trend during middle late stages, coinciding higher coverage; however, it demonstrated decline early stages due either absence or limited presence vegetation. Among images, derived GF-1 were more sensitive characteristics superior (with R2 ranging 0.129–0.928, RMSE 0.017–0.078), followed by Landsat-8 0.117–0.862, 0.017–0.088). GF-4 worst 0.070–0.921, 0.020–0.140). Thus, suitable vegetated areas. In addition, ETr outperformed other models both stability (ETr model: 0.117 0.928, 0.021 0.091; RF 0.225 0.926, 0.019 0.085; LR 0.048 0.733, 0.030 0.144). Utilizing recommended construct assessing variations farming northern China. Therefore, cases where there ground sample advisable utilize high-spatiotemporal-resolution remote along machine learning such RF, which small samples, estimation.

Language: Английский

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A novel mixture sampling strategy combining latin hypercube sampling with optimized one factor at a time method: A case study on mixtures of antibiotics and pesticides

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 461, P. 132568 - 132568

Published: Sept. 17, 2023

Language: Английский

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In vivo and in vitro chemical composition and biological activity of traditional vs. dispensing granule decoctions of Coptidis Rhizoma: A comparative study

Biomedical Chromatography, Journal Year: 2024, Volume and Issue: 38(9)

Published: July 11, 2024

Coptidis Rhizoma (CR) holds significant clinical importance. In this study, we conducted a comparative analysis of CR's dispensing granule decoction (DGD) and traditional (TD) to establish comprehensive evaluation method for the quality DGD. We selected nine batches DGD (three from each manufacturers A, B C) 10 pieces analysis. determined content representative components using high-performance liquid chromatography assessed blood in vivo post-administration ultra-performance chromatography-mass spectrometry. The antibacterial activity was measured drug-sensitive tablet method. To evaluate overall consistency TD, employed CRITIC Grey relational Our results indicated no difference between scores DGD-B with exhibiting highest quality. However, DGD-A DGD-C showed variations compared TD. After equivalent correction, approached that Furthermore, our supported findings This study offers novel approach providing insights into improving

Language: Английский

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A Groundwater Quality Assessment Model for Water Quality Index: Combining Principal Component Analysis, Entropy Weight Method, and Coefficient of Variation Method for Dimensionality Reduction and Weight Optimization, and Its Application.

Water Environment Research, Journal Year: 2024, Volume and Issue: 96(12)

Published: Dec. 1, 2024

Abstract Groundwater underpins water supply for most of the world's regions, yet its sustainable utilization has been markedly compromised by inappropriate exploitation and a multitude pollution sources. Water quality evaluation emerged as an essential strategy to guarantee optimized vigilant conservation resources. In this study, principal component analysis (PCA), entropy weight method (EWM), coefficient variation (CVM), Quality Index (WQI) were used construct integrated WQI groundwater assessment model that integrates PCA‐CVM‐EWM dimensionality reduction optimization. Taking village in Shandong Province, China, example, PCA identified seven indicators. The CVM‐EWM coupled calculate comprehensive weights through principle minimum information entropy, followed based on values. results indicated Class III predominated study area, accounting 74%, with localized present. hydrochemical type was primarily SO 4 ·HCO 3 ‐Ca, significantly influenced human activities. coefficients Fe, Mn, NH ‐N all exceeded 1. Compared other methods, demonstrated superior performance selection evaluative indicators, distribution, assessment, showing distinct advantage data numerous indicators substantial variation. findings provided scientific reference diagnosing issues formulating preventive control measures. Practitioner Points A index constructed. Optimized steps selecting assigning model. Selection indicator correlation analysis. variability is considered.

Language: Английский

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Analysis of Hydrologic Drought Frequency Using Multivariate Copulas in Shaying River Basin

Water, Journal Year: 2022, Volume and Issue: 14(8), P. 1306 - 1306

Published: April 17, 2022

Droughts, considered one of the most dangerous and costly water cycle expressions, always occurs over a certain region, lasting several weeks or months, involving multiple variables. In this work, multivariate approach was used for statistical characterization hydrological droughts in Shaying River Basin with data from 1959–2008. The standard runoff index (SRI) run theory were employed to defined drought character variables (duration, severity, intensity peak). Then, joint probability analysis four symmetric corresponding asymmetric Archimedean Copulas presented; frequency return periods (Tand Tor) estimated. results showed that have severity 4.79 5.09, peak is 1.35 1.50 Zhoukou station Luohe station, respectively; rank correlation coefficients τ are more than 0.5, which means copulas can effectively describe distributions among Drought risk shows spatial variation: downstream observed at characterized by higher risk. general, provide reliable method when constructing comprehensive evaluating characteristics. Thus, paper useful indications multi-dimensional droughts’ risks assessment Basin.

Language: Английский

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Evaluation of aquatic ecological health of sluice-controlled rivers in Huai River Basin (China) using evaluation index system

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(43), P. 65128 - 65143

Published: April 28, 2022

Language: Английский

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Oxidative Stress of Cadmium and Lead at Environmentally Relevant Concentrations on Hepatopancreas of Macrobrachium nipponensis and Their Mixture Interactivity: Implications for Water Quality Criteria Amendment

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 20(1), P. 360 - 360

Published: Dec. 26, 2022

The biotoxicity of heavy metals in water has always been the focus ecological health research. In this study, oxidative stress-associated toxicity cadmium (Cd) and lead (Pb) at environmentally relevant concentrations on hepatopancreas Macrobrachium nipponensis was investigated based multiple biomarker responses a 28-day indoor exposure study. Changes integrated (IBR) their interactivity were subsequently analyzed. No dead individuals found across any tested conditions. chronic depended type time same concentration. At low concentrations, organisms have regulatory capacity to cope with excess reactive oxygen species (ROS) induced by Pb stress over time. detail, activity superoxide dismutase (SOD) inhibited high concentration as passed. sensitivity metallothionein (MT) Cd stronger than Pb, potential for cause lipid peroxidation damage higher Pb. time, had greater disturbance effect nervous system Cd, especially early stage. contribution interaction varied dynamically exposure, but mostly showed antagonism. results study important significance guiding diagnosis health, amendment quality criteria, management wastewater discharge.

Language: Английский

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Optimizing sustainable machining for magnesium alloys: a comparative study of GRA and TOPSIS

Cogent Engineering, Journal Year: 2024, Volume and Issue: 11(1)

Published: Feb. 6, 2024

This study delves into a comparative analysis of two multi-criteria decision methods, Grey Relational Analysis (GRA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), fine-tune sustainable machining parameters AZ31 magnesium alloy. In the realm straight cutting, TOPSIS reveals an optimal configuration, featuring spindle speed 1000 rpm, feedrate 375 mm/s, depth cut at 0.5 mm. Conversely, GRA prescribes different setup: 1900 2 context angular suggests mm, while advocates 1100 A closer look that Sustainability Assessment Index (SAI) signals delivers superior sustainability outcomes across both cutting modes. These findings present invaluable insights optimization processes, providing decision-makers with tools select most appropriate approach their unique requirements. The horizon future research could expand include additional materials, further enriching tapestry practices.

Language: Английский

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