Roles of hydro-geotechnical and slope stability characteristics in the erosion of Ajali and Nanka geologic formations in southeastern Nigeria

Arabian Journal of Geosciences, Journal Year: 2022, Volume and Issue: 15(18)

Published: Sept. 1, 2022

Language: Английский

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Predicting water quality through daily concentration of dissolved oxygen using improved artificial intelligence

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Nov. 21, 2023

As an important hydrological parameter, dissolved oxygen (DO) concentration is a well-accepted indicator of water quality. This study deals with introducing and evaluating four novel integrative methods for the prediction DO. To this end, teaching-learning-based optimization (TLBO), sine cosine algorithm, cycle algorithm (WCA), electromagnetic field (EFO) are appointed to train commonly-used predictive system, namely multi-layer perceptron neural network (MLPNN). The records USGS station called Klamath River (Klamath County, Oregon) used. First, networks fed by data between October 01, 2014, September 30, 2018. Later, their competency assessed using belonging subsequent year (i.e., from 2018 2019). reliability all models, as well superiority WCA-MLPNN, was revealed mean absolute errors (MAEs 0.9800, 1.1113, 0.9624, 0.9783) in training phase. calculated Pearson correlation coefficients (RPs 0.8785, 0.8587, 0.8762, 0.8815) plus root square (RMSEs 1.2980, 1.4493, 1.3096, 1.2903) showed that EFO-MLPNN TLBO-MLPNN perform slightly better than WCA-MLPNN testing Besides, analyzing complexity time pointed out most efficient tool predicting In comparison relevant previous literature indicated suggested models provide accuracy improvement machine learning-based DO modeling.

Language: Английский

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Applying Harmony Degree Equation and TOPSIS Combined with Entropy Weights in Surface Water Classification

Civil Engineering Journal, Journal Year: 2024, Volume and Issue: 10(4), P. 1196 - 1209

Published: April 1, 2024

This study classified surface water quality in Can Tho city using the Eutrophication index, Harmony Degree Equation (HDE), and Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). Water data were collected two seasons at 38 locations with 18 parameters, including temperature, pH, dissolved oxygen (DO), biochemical demand (BOD), chemical (COD), total suspended solids (TSS), nitrite (N-NO2-), nitrate (N-NO3-), ammonium (N-NH4+), orthophosphate (P-PO43-), Fe, F-, Pb, As, Hg, coliform, chlorine-, phosphorus-based pesticides. parameters are compared national technical regulations on (QCVN 08-MT:2015/BTNMT). The HDE method based entropy weight has been applied evaluate comprehensive harmony degree for various purposes. In addition, TOPSIS was also used rank each location determine priority level that required mitigation treatment solutions. Surface area had low content contaminated TSS coliform both seasons. rainy season tends decrease dry season. Based results, assessed as suitable domestic activities (needs treatment), irrigation, navigation (HDII = 0.922), while irrigation (HDIII= 1.00). Moreover, a state potential eutrophication (EI > 0), which higher during SW25 SW28 most seriously eutrophic seasons, respectively. analysis indicated SW22 need measures seasons; furthermore, SW2-SW4 (dry season) SW23 (rainy appropriate management impact SW4 affected significant seasonal impacts, have high lowest Therefore, future studies needed identify specific sources variation these reduce impacts. results provide helpful information decision-making process management. Doi: 10.28991/CEJ-2024-010-04-012 Full Text: PDF

Language: Английский

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Groundwater suitability assessment for irrigation and drinking purposes by integrating spatial analysis, machine learning, water quality index, and health risk model

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(27), P. 39155 - 39176

Published: May 29, 2024

Language: Английский

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Identification and assessment of Critical parameters affecting drinking water quality: A case study of water treatment plants of India

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101221 - 101221

Published: June 3, 2024

Language: Английский

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