{"title":"A Shannon entropy-based model for the gas adsorption process by coal","authors":"Zhongfan Zhu, Luoying Li","doi":"10.1007/s12665-024-12003-4","DOIUrl":null,"url":null,"abstract":"<div><p>The adsorption behavior of gas by coal layers is crucial for preventing and controlling mine gas disasters, alleviating supply issues related to conventional fossil fuels, and reducing environmental pollution. Therefore, this study aims to characterize the gas adsorption process in coal using a probability method based on Shannon entropy theory. The proposed entropic model effectively predicts the temporal variation of gas adsorption in coal, demonstrating a high correlation coefficient of 0.941, a relative error of 0.101, and a low relative root mean square error of 0.201. Furthermore, the maximum gas adsorption capacity identified in the entropy-based model is closely associated with several influencing factors, including temperature, pressure, moisture content, coal particle size, and coal type. The calibrated entropic model features a straightforward mathematical form and serves as a valuable tool for predicting variations in gas adsorption amounts in various engineering scenarios, provided that certain conditions (temperature, pressure, moisture content, and coal characteristics) are established from limited datasets.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-024-12003-4","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The adsorption behavior of gas by coal layers is crucial for preventing and controlling mine gas disasters, alleviating supply issues related to conventional fossil fuels, and reducing environmental pollution. Therefore, this study aims to characterize the gas adsorption process in coal using a probability method based on Shannon entropy theory. The proposed entropic model effectively predicts the temporal variation of gas adsorption in coal, demonstrating a high correlation coefficient of 0.941, a relative error of 0.101, and a low relative root mean square error of 0.201. Furthermore, the maximum gas adsorption capacity identified in the entropy-based model is closely associated with several influencing factors, including temperature, pressure, moisture content, coal particle size, and coal type. The calibrated entropic model features a straightforward mathematical form and serves as a valuable tool for predicting variations in gas adsorption amounts in various engineering scenarios, provided that certain conditions (temperature, pressure, moisture content, and coal characteristics) are established from limited datasets.
期刊介绍:
Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth:
Water and soil contamination caused by waste management and disposal practices
Environmental problems associated with transportation by land, air, or water
Geological processes that may impact biosystems or humans
Man-made or naturally occurring geological or hydrological hazards
Environmental problems associated with the recovery of materials from the earth
Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources
Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials
Management of environmental data and information in data banks and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment
In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.