Recent Monitoring of Ground Water Quality in and Around Industrial Area of Vellore City at Two Different Monsoon Periods, South India DOI Open Access
M. Sangeetha Priya,

A. Thaminum Ansari,

V. Kanchana

et al.

Oriental Journal Of Chemistry, Journal Year: 2023, Volume and Issue: 39(5), P. 1170 - 1183

Published: Oct. 30, 2023

The present study focuses on the assessment of seasonal variation in groundwater quality and around industrial area Vellore City. samples were collected seasonally are categorized as premonsoon, monsoon post-monsoon during April 2022 March 2023. Eighteen physicochemical parameters assessed for forty eight different along region City at two Monsoon periods. analysis water parameters, including pH, EC, TDS, Ca2+, Mg2+, Na+, K+, Cl-, HCO3-, CO32-, SO42-, heavy metals, was done accordance with BIS WHO standards. results these surveys used to pinpoint geochemical processes taking place this area. According analytical findings, there significant variations inclinations between locations. Water management treatment policy decisions can be made support which also help identify potential health issues.

Language: Английский

Investigation of groundwater quality in the Southern Coast of the Black Sea: application of computational health risk assessment in Giresun, Türkiye DOI
Mehmet Metin Yazman, Bayram Yüksel, Fikret Ustaoğlu

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(39), P. 52306 - 52325

Published: Aug. 15, 2024

Language: Английский

Citations

39
Characterizing seasonal, environmental and human-induced factors influencing the dynamics of Rispana River's water quality: Implications for sustainable river management DOI Creative Commons

Sushmita Bhatt,

Arun Pratap Mishra, Naveen Chandra

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102007 - 102007

Published: March 19, 2024

This study will comprehensively evaluate the Rispana River's aquatic environment from February to June 2021, integrating physicochemical, biological, and hydrological data. Key objectives include identifying pollution sources, assessing climate change impacts, evaluating health effects on humans life. Analysis of 50 water samples reveals significant pH variations across five sampling sites influenced by natural human factors. Fluctuating temperatures (16.41 °C–20.81 °C) impact various parameters, including dissolved oxygen (DO), total solids (TDS), biochemical demand (BOD). Microbiological assessment detects coliforms, indicating contamination with potential risks. The highlights degradation River due change. Urgent action is needed mitigate impacts safeguard health. Sustained monitoring strategic management approaches are crucial for river's sustainability. Collaborative efforts necessary address sources restore health, emphasizing importance protecting this vital resource current future generations.

Language: Английский

Citations

32
Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner optimization DOI
Siyamak Doroudi, Yusef Kheyruri, Ahmad Sharafati

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 106969 - 106969

Published: Jan. 11, 2025

Language: Английский

Citations

2
Analysis of delamination and its effect on polymer matrix composites DOI
K. Karthik,

Assefa Belay Teferi,

Sathish Rengarajan

et al.

Materials Today Proceedings, Journal Year: 2023, Volume and Issue: unknown

Published: July 1, 2023

Language: Английский

Citations

16
Unraveling the impacts of multiscale landscape patterns and socioeconomic development on water quality: A case study of the National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China DOI Creative Commons

Xuefu Pu,

Qingping Cheng

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 51, P. 101660 - 101660

Published: Jan. 19, 2024

National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China Revealing the current water quality status rivers and reservoirs its drivers is crucial to achieving United Nations Goal 6 (SDG 6). We assessed spatial-temporal dynamics influence of natural socioeconomic factors on index (WQI) parameters using redundancy analysis (RDA) partial least squares path model (PLSPM). The results indicate following. (1) annual average values WQI City from 2018 2020 were 92.26, 92.06, 92.45, respectively. spring, summer, autumn, winter 92.48, 90.38, 92.68, 93.49, seasonal levels good or higher. However, spatial heterogeneity exists for some City. (2) highly complex. landscape composition, configuration, pollutant discharges are key affecting annually seasonally, a scale dependence observed. (3) Chemical physical directly affect WQI, particularly at small scales (100 m 500 buffer zones). have strong inhibitory effect (−0.79, −0.78) (−0.56, −0.72), whereas weak promoting (0.05–0.13). Landscape composition configuration indirectly WQI. In contrast, pollution discharge impact through their chemical factors. These findings demonstrate that social interact multiple ways, impacting reservoirs. This interaction depends scale. Therefore, it consider appropriate distance future land use planning, design planning Moreover, controlling wastewater industrial agricultural activities domestic usage vital ensuring high quality.

Language: Английский

Citations

6
Study on enhancing groundwater quality in a coastal area of Saudi Arabia using a curved glass solar still DOI
Mohammed A. Almeshaal,

P. Manoj Kumar

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101154 - 101154

Published: March 21, 2024

Language: Английский

Citations

5
Assessment of Groundwater Quality through Hydrochemistry Using Principal Components Analysis (PCA) and Water Quality Index (WQI) in Kızılırmak Delta, Turkey DOI Open Access
Sema Arıman, N. Göksü Soydan, Neslihan Beden

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1570 - 1570

Published: May 30, 2024

This study aimed to characterize the chemical composition and spatial distribution of groundwater in Kızılırmak Delta Turkey evaluate suitability for drinking water use through a Water Quality Index (WQI) assessment. Eleven parameters, including nitrate (NO3−), calcium (Ca2+), magnesium (Mg2+), sodium (Na+), chloride (Cl−), potassium (K+), bicarbonate (HCO3−), sulfate (SO42−), hardness (measured as CaCO3), electrical conductivity (EC), pH were analyzed determine quality each sample. The WQI was determined using weighted arithmetic index method specified by Canadian Council Ministers Environment (CCME). result all observation wells plotted. Principal Component Analysis (PCA) generated utilizing analytical data from eleven selected samples. As study, according calculated values, most not suitable purposes. minimum Ca2+ concentration area 108,817 mg/L, maximum 692,382 which showed that samples exceeded WHO limit. same situation is valid Mg2+, values vary between 100.383 5183.026 mg/L. From parameters it has been understood eastern part region more than western results correlation analysis strongest positive Mg2+ Na+ EC 0.989. present shows delta, deteriorating quality, should be treated before used protected contamination hazards.

Language: Английский

Citations

5
Groundwater Quality Assessment Based on the Random Forest Water Quality Index—Taking Karamay City as an Example DOI Open Access

Yanna Xiong,

Tianyi Zhang, Xi Sun

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(19), P. 14477 - 14477

Published: Oct. 4, 2023

In the past few decades, global industrial development and population growth have led to a scarcity of water resources, making sustainable management groundwater challenge. The Water Quality Index (WQI) serves as comprehensive method for assessing quality can provide valuable recommendations at level, optimizing policies management. However, subjectivity uncertainty traditional WQI negative impacts on evaluation outcomes, particularly in determining indicator weights selecting aggregation functions. proposed index based random forest (RFWQI) model this study addresses these issues. It selects indicators actual pollution situation area, employs an advanced rank indicators, determines using centroid method, scores sub-index function designed development, compares results two commonly used functions identify optimal one. Based aggregated scores, 137 monitoring sites is classified into five levels: “Excellent”, “Good”, “Medium”, “Poor”, or “Unacceptable”. Among 11 (sodium, sulfate, chloride, bicarbonate, total dissolved solids, fluoride, boron, nitrate, pH, CODMn, hardness), chloride was given highest weight (0.236), followed by solids (0.156), sodium lowest (0.008). exhibits good prediction capability before hyperparameter tuning (86% accuracy, RMSE 0.378), after grid search five-fold cross-validation, combination determined, further improving performance (94% F1-Score 0.967, AUC 0.91, 0.232). For newly developed function, interpolation score each indicator, comparing functions, NSF selected most suitable assessment. Overall, area poor (52.5% low quality) not drinking.

Language: Английский

Citations

10
A long-period assessment of climate change impact on river water quality in the central region of Iran DOI
Malihe Moazeni,

Masoud Sayedipour,

Kun‐Yi Andrew Lin

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

Citations

0
Self Automated Borewell Barrier with Child Safe Guard Using Iot DOI

R. Swaranambigai,

Meisam Ansari,

S. Madhavan

et al.

Engineering headway, Journal Year: 2025, Volume and Issue: 16, P. 71 - 77

Published: Jan. 23, 2025

Toddler safety is paramount, particularly in situations such as a toddler falling into borewell, which can be extremely perilous. This study introduces novel IoT-based approach to ensure prompt and successful child rescue emergencies. By automating the process, it reduces hazards associated with traditional methods eliminates need for physical intervention. IoT-driven borewell system integrates early detection, intelligent response, preventative measures, significantly enhancing chances of operation safeguarding children dangerous circumstances.

Language: Английский

Citations

0