Application of selected partial order tools to analyze fate and toxicity indicators of environmentally hazardous chemicals

Carlsen, Lars; Brüggemann, Rainer; Sailaukhanuly, Yerbolat

doi:10.1016/j.ecolind.2012.12.028

Cited by 13 publications

(8 citation statements)

References 24 publications

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“…The scenarios composing this chain take part in a sequence, which can be ranked without any additional information beyond the data matrix (Carlsen et al, 2013). Following a chain upwards leads to a simultaneous increase in the values of one or more indicators without experiencing a decrease in the values of any indicator.…”

Section: Camentioning

confidence: 99%

Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies

Tsonkova

Böhm

Quinkenstein

et al. 2015

Agricultural Systems

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Section: Camentioning

confidence: 99%

Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies

Tsonkova

Böhm

Quinkenstein

et al. 2015

Agricultural Systems

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“…Pollutants are changing both quantitatively and qualitatively, and the number of chemicals currently in circulation is 38,000 with more than 300 new materials being synthesized every year due to the diversification of industrial structures and high-tech industry [3,4]. In line with national development, growth and policy, industrial wastewater is becoming more contaminated and difficult to process.…”

Section: Introductionmentioning

confidence: 98%

Design of ZnCdS Quantum Dots Loaded on Mesoporous Silica as a UV-Light-Sensitive Photocatalyst

Pourahmad

Deljoopour

2015

Synthesis and Reactivity in Inorganic, Metal-Organic, and Nano-

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The synthesis of ZnCdS nanomaterial in MCM-41 matrix has been realized by chemical synthesis between MCM-41, ZnCl 2 and CdCl 2 via an ion exchange method in aqueous solution.X-ray diffraction analysis (XRD), diffuse reflectance spectroscopy (DRS), transmission electron microscopy (TEM) and fourier transform infrared (FT-IR) were used to characterize the products. Several parameters were examined, catalyst amount (0.1-6 g L -1 ), pH (3-12) and initial concentration of MB (0.16-3.2 ppm). The extent of degradation was estimated from the residual concentration by spectrophotometrically. The average size of ZnCdCl 2 in MCM-41 nanostructure was obtained about 3 nm by TEM.

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“…The challenge of water shortages has been growing rapidly due to various factors, including depletion of water resources, environmental pollution, and the rapid growth of industrialization . There are currently around 38000 chemical pollutants in circulation, and each year, more than 300 new materials are synthesized, adding to the existing number of pollutants . The unstable nature of wastewater, coupled with its high chromaticity and presence of refractory organic compounds, poses a challenge to conventional purification techniques. , For instance, physical adsorption methods only segregate impurities without achieving full disintegration, thus potentially causing further pollution. , Additionally, costly chemical approaches are ineffective in eliminating coloration.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making

Schossler,

Ojo,

2023

ACS EST Water

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Titanium dioxide (TiO 2 ) is commonly used as a photocatalyst for treating water contaminants. However, experimentally determining the photodegradation kinetics is both expensive and time-consuming. In this study, the authors developed gradient booster regressor (GBR) and extreme gradient boosted (XGBoost) decision tree models using the BayesSearchCV and hyperopt libraries, respectively, to fine-tune the hyperparameters. The goal was to estimate photodegradation rate constants for organic contaminants and investigate the relationship between input variables and their characteristics to enhance model performance. To assess the models' predictive capabilities, the researchers employed quantitative approaches such as the coefficient of determination (R 2 ), mean absolute error (MAE), and root mean squared error (RMSE). Additionally, they utilized the SHAP technique, which applies cooperative game theory to estimate photodegradation rates and rank the importance of features, to provide interpretability to the results. The study identified enhanced models that outperformed other models in the literature, with the XGBoost model combined with the TPE algorithm performing the best, achieving an R 2 of 0.891, an MAE of 0.100, and an RMSE of 0.157. Furthermore, the SHAP technique provided insights into the features predicting photodegradation rates and their correlations.

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Application of selected partial order tools to analyze fate and toxicity indicators of environmentally hazardous chemicals

Cited by 13 publications

References 24 publications

Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies

Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies

Design of ZnCdS Quantum Dots Loaded on Mesoporous Silica as a UV-Light-Sensitive Photocatalyst

Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making

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