Research on Direction Finding Error Analysis Based on Passive Sonar Buoy Array DOI
Xuemin Wang, Wenpeng Zhang,

Pengqian Yang

et al.

Published: Dec. 27, 2024

Language: Английский

Artificial Intelligence: Intensifying or Mitigating Unemployment? DOI
Meng Qin, Yongshan Wan,

Junyi Dou

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102755 - 102755

Published: Nov. 6, 2024

Language: Английский

Citations

9

Comprehensive evaluation of groundwater quality in population-dense and extensive agricultural regions and study on its relationship with agricultural production and human activities DOI
Beibei Zhang, Xin Hu,

Yu Yang

et al.

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

Published: Jan. 30, 2025

Language: Английский

Citations

0

Using multiple machine learning algorithms to optimize the water quality index model and their applicability DOI Creative Commons
Fei Ding, Shilong Hao, Wenjie Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113299 - 113299

Published: March 1, 2025

Language: Английский

Citations

0

Multi-objective optimization of process parameters for laser cladding of Cr3C2/15-5PH composite coatings on 20CrMnTi using RSM-CMOPSO-EWM-CV DOI Creative Commons
Yanbin Du,

Kaiyi Mao,

Xin Lei

et al.

Journal of Materials Research and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China DOI
Jing Gao, Jian Li,

T. K. Tong

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113491 - 113491

Published: May 1, 2025

Language: Английский

Citations

0

Response characteristics of dissolved nitrogen and phosphorus migration to outcrop bedrock pattern in karst slopes under individual rainfall DOI
Xue Yang, Youjin Yan, Quanhou Dai

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108322 - 108322

Published: Sept. 6, 2024

Language: Английский

Citations

2

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

Haizhen Hu,

Jia Wang, Gang Zhou

et al.

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

Citations

2

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. DOI
Beibei Zhang,

Xin Hu,

Bo Li

et al.

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

Citations

2

Evaluation of Groundwater Resources Carrying Capacity Based on the Improved Matter-Element Extension Model - Taking Ningxia Province as an Example DOI
Chaoyi Li, Bo Li,

Yu Yang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Research on Direction Finding Error Analysis Based on Passive Sonar Buoy Array DOI
Xuemin Wang, Wenpeng Zhang,

Pengqian Yang

et al.

Published: Dec. 27, 2024

Language: Английский

Citations

0