An integrated appraisal of the hydrogeochemistry and the potential public health risks of groundwater nitrate and fluoride in eastern Ghana

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101264 - 101264

Опубликована: Июнь 28, 2024

Язык: Английский

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Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India

Results in Engineering, Год журнала: 2024, Номер 21, С. 101828 - 101828

Опубликована: Янв. 29, 2024

In recent times, the densely populated Bengaluru metropolis in India has faced challenges related to water scarcity, particularly relying on Krishna Raja Sagara (KRS) dam. The forecasting of reservoir levels become challenging due spatio-temporal fluctuations meteorological conditions and complex physical processes. As a result, developing suitable management meet population's demand requires an accurate dependable estimate dam's level. This work attempted use daily weather data by utilizing long short-term memory (LSTM) networks. Seven high-performance models (viz., M1 M7) with varying window sizes horizons have been trained this their performance is compared. metrics revealed that M7 model outperformed other for level prediction, coefficient determination (R2) score 0.93, root mean square error (RMSE) 2.94, absolute percentage (MAPE) 0.01. study also provides valuable dashboard tracking forecasted largest Cauvery basin. Finally, innovative integration LSTM technology predictions dam not only addresses posed but sets new standard precision forecasting, thereby establishing crucial decision-support tool real-time monitoring enhanced resource India's metropolis.

Язык: Английский

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Innovative multistep and synchronous soft sensing prediction of COD and NH3 in WWTPs via multimodal data and multiple attention mechanisms

Water Research, Год журнала: 2025, Номер 278, С. 123405 - 123405

Опубликована: Фев. 28, 2025

Язык: Английский

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Temperature-Dependent Compressive Strength Modeling of Geopolymer Blocks Utilizing Glass Powder and Steel Slag

Results in Materials, Год журнала: 2024, Номер 24, С. 100636 - 100636

Опубликована: Ноя. 9, 2024

Язык: Английский

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Modeling soil loss under rainfall events using machine learning algorithms

Journal of Environmental Management, Год журнала: 2024, Номер 352, С. 120004 - 120004

Опубликована: Янв. 12, 2024

Язык: Английский

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Immobilized microbial consortia: An eco-friendly and sustainable solution for aquaculture waste management

The Microbe, Год журнала: 2024, Номер 4, С. 100100 - 100100

Опубликована: Июнь 5, 2024

Aquaculture pond is a dynamic ecosystem with continuously changing physical, chemical, and biological elements. Environmental issues often create significant hindrances to long-term development of aquaculture industries in developing countries. Lack knowledge on scientific farm management has resulted excessive usage antibiotics other chemicals leading impacts the surrounding ecosystem. While focussing sustainable aquaculture, bottom sediment quality an important aspect aquaculture; but it receives far less attention than water quality. Usually, deterioration accumulated organic matter increases oxygen demand influences redox potential. This creates anoxic conditions sediments at sediment-water interface, releases ammonia, hydrogen sulphide, nitrogenous compounds toxic gases, massive losses production. could therefore reduce production capacity be profitable farmers, discouraging them from entering sectors, especially younger generation. An eco-friendly, convenient low-cost waste strategies need adopted mitigate these make system productive profitable. review critically evaluates importance, feasibility bioremediation potential Immobilized microbial consortia (IMC) general specifically addresses Bacillus MCCB 101 for detritus or degradation, nitrifying bacterial (NBC) nitrification photosynthetic sulphur bacteria (PSB), Rhodospeudomonas julia 147, sulphide mitigation ponds towards converting system.

Язык: Английский

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Harnessing explainable artificial intelligence (XAI) for enhanced geopolymer concrete mix optimization

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103036 - 103036

Опубликована: Сен. 1, 2024

Язык: Английский

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Experimental and Machine Learning-Based Investigation of Cyclic Thermal Resilience of Geopolymer Concrete with Slag and Glass Powders

Iranian Journal of Science and Technology Transactions of Civil Engineering, Год журнала: 2024, Номер unknown

Опубликована: Дек. 27, 2024

Язык: Английский

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Phragmites australis straw and biochar additives regulate soil organic carbon fractions in a degraded coastal salt marsh

Ecological Engineering, Год журнала: 2024, Номер 206, С. 107328 - 107328

Опубликована: Июнь 24, 2024

Язык: Английский

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Briefing: Intensive inland aquaculture ponds: challenges and research opportunities

Environmental Geotechnics, Год журнала: 2024, Номер unknown, С. 1 - 5

Опубликована: Фев. 28, 2024

This briefing presents an overview of inland aquaculture scenario that focuses on challenges farming, contaminant transport and the future aqua farming in a broader perspective environmental geotechnics. Un-engineered practices are cause concern, special attention is necessary waste water management, cross-contamination with adjacent environment, sludge–subsoil interaction, pond embankment slope failure, leachate migration into vadose zone, geoenvironmental remediation strategies geotechnical engineering aspects engineered construction.

Язык: Английский

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