Machine learning rather than trial and error to close morphodynamical tuneable parameters: Application to a two-phase/two-layer model DOI Creative Commons
Robin Meurice, Sandra Soares Frazão

Journal of Hydroinformatics, Год журнала: 2024, Номер 26(4), С. 744 - 761

Опубликована: Март 14, 2024

ABSTRACT Physics-based numerical models often depend on several parameters to close. Some of them can be expressed using established theoretical or empirical closure formulations. However, some others aggregate complex physical processes and are hence left as tuneable parameters, only calibrated by trial error. Yet, calibration data not always available do so, which prevents these from being applied wide ranges laboratory river flows. We propose a machine learning-based methodology close any group unclosed correlated here two-phase/two-layer (2P2L) morphodynamical model. The combines experiment with known solution learning. It is the considered model two friction for generalizable vastly acknowledged formulations lack in literature. resulting hybrid model, combining original 2P2L models, tested against dam break test cases. Despite excessive smoothness underestimation concentration sediment, performed similarly other literature requiring error showed high stability accuracy regarding estimation water-sediment mixture's inertia.

Язык: Английский

A novel data-driven machine learning techniques to predict compressive strength of fly ash and recycled coarse aggregates based self-compacting concrete DOI

Surbhi Gupta Aggarwal,

Rajwinder Singh, Ayush Rathore

и другие.

Materials Today Communications, Год журнала: 2024, Номер 39, С. 109294 - 109294

Опубликована: Май 19, 2024

Язык: Английский

Процитировано

12

Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model DOI

Chengshuai Liu,

Caihong Hu, Chenchen Zhao

и другие.

Water Resources Management, Год журнала: 2024, Номер 38(6), С. 2059 - 2078

Опубликована: Фев. 14, 2024

Язык: Английский

Процитировано

10

A Comprehensive Review on Sediment Transport, Flow Dynamics, and Hazards in Steep Channels DOI Open Access
Ajaz Ahmad Mir, Mahesh Patel

Journal of Water Management Modeling, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The hydrological channel networks of the steep mountains are extensively designated and organized geographic systems very complicated. They composed granular beds that uneven subjected to fluid forces fluctuate spatially temporally. flow movement sediment in these streams significantly shaped by large rocks such as boulders. However, it is difficult comprehend mountain because significant information unavailable regarding channels compared plane bed streams. To address this issue, a critical review numerical, computational dynamics, machine learning mechanisms underlying transport across different conditions presented while considering current foreseeable for various phenomena. present study emphasized carry out further analysis on using advanced available techniques get an insight into morphology channels. Furthermore, hazards associated with reviewed they have impact infrastructure habitation mountainous regions.

Язык: Английский

Процитировано

7

Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches DOI Creative Commons
Yan Wang, Maha El-Meligy, Haytham F. Isleem

и другие.

Journal Of Big Data, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

1

Prognosis of flow of fly ash and blast furnace slag-based concrete: leveraging advanced machine learning algorithms DOI
Rahul Kumar, Ayush Rathore, Rajwinder Singh

и другие.

Asian Journal of Civil Engineering, Год журнала: 2023, Номер 25(3), С. 2483 - 2497

Опубликована: Ноя. 8, 2023

Язык: Английский

Процитировано

15

Impact of improper municipal solid waste management on fostering One Health approach in Ethiopia — challenges and opportunities: a systematic review DOI Creative Commons
Tsegay Kahsay Gebrekidan,

Niguse Gebru Weldemariam,

Hagos Degefa Hidru

и другие.

Science in One Health, Год журнала: 2024, Номер 3, С. 100081 - 100081

Опубликована: Янв. 1, 2024

Improper disposal of solid waste, predominantly illegal dumping, can lead to severe air and water pollution, land degradation, climate change, health hazards due the persistence hazardous materials. As a result, it is threatening public animal health, environmental sustainability, economic development. The One Health approach, which acknowledges interconnectedness human, animal, offers comprehensive solution. This systematic review examines impact improper municipal waste on fostering approaches at national level Ethiopia by identifying key challenges opportunities. Publications were retrieved from peer-reviewed, indexed journal publications, government documents (policies, proclamations, regulations, guidelines), credible non-governmental organization publications selected electronic databases (Google scholar, PubMed, EMBASE, Global Health, Web Science, etc.), governmental offices. Despite efforts advance approach in through formation National Steering Committee technical working groups, implementation hindered such as poor sectoral integration, insufficient advocacy, financial constraints, limited research. These contribute worsening zoonotic infectious diseases issues inadequate management. Nonetheless, opportunities exist integration via holistic programs, interdisciplinary collaboration, community engagement, policy enhancement, institutional capacity building, public-private partnerships. Therefore, enhancing increasing advocacy securing support necessary back management initiatives related Further research crucial understand potential benefits Ethiopia.

Язык: Английский

Процитировано

4

Municipal solid waste management in Ethiopia: Physical and chemical compositions and generation rate: Systematic review DOI Creative Commons
Tsegay Kahsay Gebrekidan, Gebremariam Gebrezgabher Gebremedhin,

Abraha Kahsay Weldemariam

и другие.

Journal of the Air & Waste Management Association, Год журнала: 2024, Номер 74(12), С. 861 - 883

Опубликована: Окт. 23, 2024

Municipal solid waste management (MSWM) in Ethiopia is a complex issue with institutional, social, political, environmental, and economic dimensions, impacting sustainable development. Effective MSWM planning necessitates understanding the generation rate composition of waste. This systematic review synthesizes qualitative quantitative data from various sources to aggregate current knowledge, identify gaps, provide comprehensive municipal Ethiopia. The findings reveal that 0.38 kg/ca/day, being predominantly food waste, followed by ash, dust, sand, yard Over 85% this MSW either reusable or recyclable, significant portion organic matter (73.13% biodegradable) 11.78% recyclable materials. Physicochemical analyses Ethiopian suitable for composting biogas production, offering opportunities reduce environmental pollution, GHGs, support urban agriculture, create job opportunities. However; challenges persist, including lack political will, weak planning, limited community awareness, inadequate infrastructure, only 31.8% collected legally, leading inefficient harmful disposal practices. To improve MSWM, should focus on public awareness; increased funding, infrastructure investment, private sector partnerships, implementing 4 R principles (reduce, reuse, recycle). An integrated approach involving government, industry, civil society essential. Further research physicochemical properties strategic uses needed enhance

Язык: Английский

Процитировано

4

Optimizing bed shear stress prediction in open flow channels: an investigation of heuristic machine learning techniques DOI
Ajaz Ahmad Mir, Mahesh Patel

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Фев. 15, 2025

Язык: Английский

Процитировано

0

Mean Limiting Pressure Factors Determination in Contiguous Pile Walls using RAFELA and Nonlinear Regression Models in Spatially Random Soil DOI Creative Commons

Divesh Ranjan Kumar,

Sittha Kaorapapong,

Warit Wipulanusat

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104436 - 104436

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Peak discharge amplication of debris flows in colluvial channels with varying cross-sections DOI
Ning Lan, Kaiheng Hu, Pu Li

и другие.

Environmental Earth Sciences, Год журнала: 2025, Номер 84(8)

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0