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Machine learning facilitated the modeling of plastics hydrothermal pretreatment toward constructing an on-ship marine litter-to-methanol plant

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Frontiers of Chemical Science and Engineering 2024年第10期18卷 105-117页

作者： Yi Cheng Qiong Pan Jie Li Nan Zhang Yang Yang Jiawei Wang Ningbo Gao Department of Chemical Engineering and Applied Chemistry Aston UniversityBirmingham B47ETUK Energy and Bioproducts Research Institute Aston UniversityBirmingham B47ETUK Centre for Process Integration Department of Chemical EngineeringSchool of EngineeringThe University of ManchesterManchester M139PLUK State Key Laboratory of Coal Combustion Huazhong University of Science and TechnologyWuhan 430074China School of Energy and Power Engineering Xi’an Jiaotong UniversityXi’an 710049China

An onboard facility shows promise in efficiently converting floating plastics into valuable products,such as methanol,negating the need for regional transport and land-based *** presents an effective means of processing plastics,requiring their transformation into gasification-compatible feedstock,such as *** study explores hydrochar composition modeling,utilizing advanced algorithms and rigorous analyses to unravel the intricacies of elemental composition ratios,identify influential factors,and optimize hydrochar production *** investigation begins with decision tree modeling,which successfully captures relationships but encounters overfitting ***,the decision tree vote analysis,particularly for the H/C ratio,yielding an impressive R2 of ***,the research delves into the economic feasibility of the marine plastics-to-methanol *** payback periods,driven by fluctuating methanol prices observed over a decade(ranging from 3.3 to 7 yr for hydrochar production plants),are *** factories emerge as resilient solutions,capitalizing on marine natural gas resources while striving for near-net-zero *** comprehensive study advances our understanding of hydrochar composition and offers insights into the economic potential of environmentally sustainable marine plastics-to-methanol processes.

关键词： marine plastics hydrothermal methanol machine learning technoeconomic assessment

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Fishing Production and Fishing Changes in Hong Kong after the Ground Trawl Ban of 31st December 2012:A Geospatial Evaluation

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Journal of Geographical Research 2023年第1期6卷 39-53页

作者： Alastor M.Coleby Eric P.M.Grist Environment and Resources Management School of Continuing EducationHong Kong Baptist UniversityShek MunNew Territories Hong Kong SAR999077China College of Engineering Mathematics&Physical SciencesUniversity of ExeterExeterEX44PYUnited Kingdom

From data published by the Hong Kong SAR(HKSAR)government in their two sole fisheries surveys of 2006 and 2016/2017,the current authors produced regional maps using spatial interpolation to more accurately describe and estimate the geographic coverage of changes in fishing production in Hong Kong waters since the ground trawl ban of 2012 December *** suggest the fishing industry has adapted to smaller craft,and that fishing production increased in several areas in the period after the ground trawl ban came into *** addition,the maps enable a smoother assessment to be made of the geospatial changes in fishing production which have occurred since the ground trawl ban and suggest a‘workaround’by *** particular,small fishing craft known as sampans are able to take advantage by being more suitable vessels for areas such as narrower or shallower *** plastics pollution is also a proxy indicator of these activities,as evidenced by discarded fishing gear that includes plastic nets,floats,and other fishing boat equipment.

关键词： Fishing production Commercial fishing marine plastics Ground trawl ban

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