Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 15, 2025

Mine water influx is a significant geological hazard during mine development, influenced by various factors such as conditions, hydrology, climate, and mining techniques. This phenomenon characterized non-linearity high complexity, leading to frequent accidents in coal mines. These not only impact production quality but also jeopardize the safety of staff. In order better predict amount surging mines provide an important basis for damage prevention work, based on time series data from January 2020 February 2023 Northern Guizhou Province Longfeng Coal Mine, BP-ARIMA prediction model was established combining BP neural network ARIMA autoregressive sliding average model, It predicted total 6 months July 2022 2023, compared results with four models, namely, traditional method Large well method, GM(1,1) grey used absolute relative error calculation accuracy. The show that BP-ARIMA(3,1,1) much closer actual value, 1.02% maximum 3.036%, goodness fit R² 0.93, which than other single substantially improves accuracy influx. Furthermore, utilizing future predictions were made, offering scientific foundation effective control measures.

Language: Английский

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Identification of hydrogeochemical processes in shallow groundwater using multivariate statistical analysis and inverse geochemical modeling

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 6, 2025

Language: Английский

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Comprehensive evaluation of groundwater quality in population-dense and extensive agricultural regions and study on its relationship with agricultural production and human activities

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(3)

Published: Jan. 30, 2025

Language: Английский

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Study on the Adsorption Mechanism and Response Surface Optimization of Fluorine and Phosphorus by the Red Clay in Guizhou

ACS Omega, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

The presence of fluorine and phosphorus in phosphogypsum leachate directly affects the local ecological environment groundwater quality. This paper examined adsorption characteristics by red clay near a landfill Guizhou Province, China, under different pH values, initial concentrations, soil dosages, particle sizes soil. Response surface methodology (RSM) was employed to optimize three factors (pH, concentration, dosage) selected Box-Behnken design that have great influence on single-factor adsorption. optimum condition for identified as = 3, concentration 91.08 mg/L, dosage 5.31 g, while 4.17, 99.49 5.82 g. Langmuir equation, quasi-secondary kinetic model, Elovich model were used fitting, which demonstrated good fitting. Finally, comparing characterization results scanning electron microscopy (SEM-EDX), X-ray diffraction (XRD), infrared spectroscopy (FTIR), process accompanied electrostatic addition chemical ligand exchange, result multiple effects. findings this study will provide reference prevention, control, management fluoro-phosphorus pollution dumps.

Language: Английский

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Comprehensive analysis of groundwater hydrochemistry and nitrate health risks in the Baiquan basin, Northern China

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e19233 - e19233

Published: April 15, 2025

Groundwater is a crucial water source and strategic resource, essential for sustaining both urban rural livelihoods, supporting economic social development, maintaining ecological balance. This study investigates the hydrochemical properties controlling factors of groundwater in Baiquan basin (BQB) by analyzing quality data collected during dry wet periods. Additionally, suitability drinking agricultural irrigation was evaluated. The findings reveal that BQB generally weakly alkaline primarily consists hard-fresh water. Although there are seasonal variations main ion concentrations, HCO 3 − Ca 2+ predominant anions cations, respectively. Consequently, type mainly -Ca⋅Mg type, with secondary classification SO 4 ⋅Cl-Ca ⋅ Mg. composition influenced dissolution carbonate silicate minerals, as well cation exchange processes. it affected anthropogenic inputs, particularly from use fertilizers. assessment results indicated all samples classified either good or moderate, significant majority falling into category. northern section exhibited lower entropy weight index (EWQI) values season comparison to season. For irrigated agriculture, serves high-quality throughout rainy seasons. Furthermore, non-carcinogenic risks notably concentrated north-western south-eastern regions area. Health associated nitrates elevated Notably, infants were significantly high across seasons substantially exceeded those children adults. These provide valuable scientific insights management development resources BQB.

Language: Английский

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Evaluation of groundwater quality with multi-source pollution based on source identification and health risks

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175064 - 175064

Published: July 26, 2024

Language: Английский

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Understanding the Water Quality Changes of the Typical Plain River Network Area Using Comprehensive Assessment Methods

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8766 - 8766

Published: Oct. 10, 2024

Water quality assessment is an important method for understanding the spatial-temporal variation characteristics of water quality. Therefore, present study has been performed to evaluate a typical plain river network area in Changzhou City, Jiangsu, China, where system characterized by reciprocal flow and diverse pollution sources. The samples from 2017 2021 were comprehensively assessed using comprehensive methods that combine single-factor index (SFPI) with multivariate statistical analysis. Initially, analyses conducted exceedances correlations SFPI was applied classify categories. Furthermore, principal component analysis (PCA) cluster (CA) employed reduce dimensionality indicators group monitoring sections similar characteristics. results indicate overall City lightly polluted trend improvement. primary pollutants identified are total phosphorus (TP) ammonia nitrogen (NH3-N). This highlights organic pollution, self-purification capacity, eutrophication bodies most significant factors affecting sampling sites classified into three groups (good, moderate, poor). this provide theoretical reference environment management ecological protection areas.

Language: Английский

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A Groundwater Quality Assessment Model for Water Quality Index: Combining Principal Component Analysis, Entropy Weight Method, and Coefficient of Variation Method for Dimensionality Reduction and Weight Optimization, and Its Application.

Water Environment Research, Journal Year: 2024, Volume and Issue: 96(12)

Published: Dec. 1, 2024

Abstract Groundwater underpins water supply for most of the world's regions, yet its sustainable utilization has been markedly compromised by inappropriate exploitation and a multitude pollution sources. Water quality evaluation emerged as an essential strategy to guarantee optimized vigilant conservation resources. In this study, principal component analysis (PCA), entropy weight method (EWM), coefficient variation (CVM), Quality Index (WQI) were used construct integrated WQI groundwater assessment model that integrates PCA‐CVM‐EWM dimensionality reduction optimization. Taking village in Shandong Province, China, example, PCA identified seven indicators. The CVM‐EWM coupled calculate comprehensive weights through principle minimum information entropy, followed based on values. results indicated Class III predominated study area, accounting 74%, with localized present. hydrochemical type was primarily SO 4 ·HCO 3 ‐Ca, significantly influenced human activities. coefficients Fe, Mn, NH ‐N all exceeded 1. Compared other methods, demonstrated superior performance selection evaluative indicators, distribution, assessment, showing distinct advantage data numerous indicators substantial variation. findings provided scientific reference diagnosing issues formulating preventive control measures. Practitioner Points A index constructed. Optimized steps selecting assigning model. Selection indicator correlation analysis. variability is considered.

Language: Английский

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Unravelling integrated groundwater management in pollution-prone agricultural cities: a synergistic approach combining probabilistic risk, source apportionment and artificial intelligence

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136514 - 136514

Published: Nov. 15, 2024

Language: Английский

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