An IoT and machine learning solutions for monitoring agricultural water quality: a robust framework DOI Creative Commons
Mushtaque Ahmed Rahu, Muhammad Mujtaba Shaikh, Sarang Karim

et al.

Mehran University Research Journal of Engineering and Technology, Journal Year: 2023, Volume and Issue: 43(1), P. 192 - 192

Published: Dec. 30, 2023

All living things, comprising animals, plants, and people require water to survive. The world is covered in water, just 1 percent of it fresh functional. importance value freshwater have increased due population growth rising demands. Approximately more than 70 the world's used for agriculture. Agricultural employees are least productive, inefficient, heavily subsidized users world. They also utilize most overall. Irrigation consumes a considerable amount water. field's supply needs be safeguarded. A critical stage estimating agricultural production crop irrigation. global shortage serious issue, will only get worse years come. Precision agriculture intelligent irrigation solutions that solve aforementioned issues. Smart systems other modern technologies must improve quantity high-quality Such system has potential quite accurate, but requires data about climate quality region where used. This study examines smart using Internet Things (IoT) cloud-based architecture. water's temperature, pH, total dissolved solids (TDS), turbidity all measured by this device before processed cloud range machine learning (ML) approaches. Regarding content limits, farmers given accurate information. Farmers can increase effective techniques. ML methods support vector machines (SVM), random forests (RF), linear regression, Naive Bayes, decision trees (DT) categorize pre-processed sets. Performance metrics like accuracy, precision, recall, f1-score calculate performance algorithms.

Language: Английский

Progress in sustainable remediation: Utilizing biosurfactants for eco-friendly contaminant cleanup DOI
Alan Shaji,

P. Thamarai,

V.C. Deivayanai

et al.

Bioresource Technology Reports, Journal Year: 2024, Volume and Issue: 27, P. 101901 - 101901

Published: July 11, 2024

Language: Английский

Citations

5
A systematic review of agricultural use water quality indices DOI Creative Commons
Nathan Johnston, John Rolfe, Nicole Flint

et al.

Environmental and Sustainability Indicators, Journal Year: 2024, Volume and Issue: 23, P. 100417 - 100417

Published: May 29, 2024

Water Quality Indices (WQIs) are increasingly being applied for reporting on the suitability of water a variety human uses including agriculture. This systematic review identified and compared 42 examples Agricultural use (AgWQIs) surface waters in published literature. The confirmed growing popularity AgWQI reporting, particularly last six years. All studies incorporated irrigated cropping into their with three also addressing stock watering. that all parameter thresholds adopted by originated from either Food Agriculture Organisation United Nations publication quality agriculture or National Standards. An common key was developed to overcome interstudy method variability facilitate comparative assessment. assessment determined study methods two sources, Canadian Council Ministers Environment Index, Sanitation Foundation Index. For adopting latter method, further strategies weightings eight functions developing ratings were identified. Our explored limitations some equations, known as proportionality constant. Significant variation parameters, classes, thresholds, subindices, between found, but areas agreement. Based findings, guide has been assist future development.

Language: Английский

Citations

4
Assessing groundwater quality and suitability in Qatar: Strategic insights for sustainable water management and environmental protection DOI Creative Commons
Sarra Aloui, Adel Zghibi, Annamaria Mazzoni

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100582 - 100582

Published: Jan. 1, 2025

Language: Английский

Citations

0
Calcium carbonate sediment corrosion and formation investigation in drinking water distribution network in Sough City, Iran DOI Creative Commons

Abdol Hosein Salehi Sarvak,

Seyed Ali Almodaresi,

Abolghasem Mirhoseini Dehabadi

et al.

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

Published: Jan. 20, 2025

One of the major problems facing water industry is corrosion and sedimentation, which causes such as reduced quality useful life supply network equipment. This study aimed to investigate sediments formed in drinking distribution Sough City. In this cross-sectional study, samples were prepared from 7 wells, storage reservoirs, a dedicated area 2006 2017. The parameters included pH, TDS, temperature, total alkalinity, calcium hardness, hardness indices Langelier, Ryznar, Pokurious, Aggressive measured all sources. mean -0.59 ± 0.62, 8.48 0.79, 7.24 0.28, 12.01 0.22, respectively. average PSI seasons was more than 7, AI equal 12, pH 7.8, but summer it increased slightly 8.5. research showed that amount corrosiveness sedimentation not related physicochemical parameters. Examination City 2011 tends carbonate sedimentation. A magnetic field used remove network.

Language: Английский

Citations

0
Seasonal variations and correlation analysis of water quality parameters in the Chambal River, Rajasthan, India DOI Open Access
Krishna Pal Singh, Abhishek Saxena

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(2)

Published: Feb. 1, 2025

Abstract The study investigated the water quality of Chambal River from 2010 to 2022 throughout year. measured parameters like pH, EC (Electrical Conductivity), TDS (Total Dissolved Solids), and Total Hardness (TH) fluctuate between 7.70 8.35 (with an average 8), 289 484 μS/cm 347 μS/cm), 185 315 mg/l 224 mg/l), 68 120 93 respectively, on yearly basis. While turbidity, nitrate levels, ammonia nitrogen, fluoride, boron dissolved) 0.79 8 NTU 2 NTU), 0.38 0.92 0.06 0.61 0.22 0.24 0.94 0.67 0.04 0.33 0.16 Quality Index (WQI) ranges 10 149 with 73 a However, WQI 27 95 56) in summer, 6 294 116) rainy, 4 123 156) autumn, 1 82 52) winter. These results indicate poor overall Water (WQI), rendering River's unsuitable for drinking purposes. Furthermore, principal component analysis dendrogram were used this study. findings highlight urgent need stricter pollution control measures safeguard river's health. Practitioner Points present is based Seasonal Variations Correlation Analysis Parameters via multiparametric approaches year River, Rajasthan, India. Two types statistics (Principal Component Dendrogram analysis) have been applied here know variation distribution WQI. pH fluctuated within IS standard, slight summer alkalinity increase. remained stable, higher due evaporation. Turbidity peaked monsoon reduced dry periods. Poor was found sampling site hence reader discussed journal may take interest it. Urgent health different pollutants. Pearson correlation reveals strong positive correlations WQI, TDS, TH, while negative are observed these clusters concentration.

Language: Английский

Citations

0
Investigating the relationship between land use and water quality in urban waterbodies DOI Creative Commons

Omur Faruq,

Md. Abdul Malak,

Nahrin Jannat Hossain

et al.

Cleaner Water, Journal Year: 2025, Volume and Issue: unknown, P. 100070 - 100070

Published: Feb. 1, 2025

Language: Английский

Citations

0
Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India DOI

D. Karunanidhi,

Mohan Raj,

Priyadarsi D. Roy

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(4)

Published: March 14, 2025

Language: Английский

Citations

0
Water Quality Index and the quality of freshwater resource uMhlathuze river, Kwazulu-Natal, South Africa: A Review DOI

Cimanga Lukusa,

Viswanadha Srirama Rajasekhar Pullabhotla

Pure and Applied Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract uMhlathuze River in KwaZulu-Natal, South Africa, is a critical freshwater resource supporting industrial, agricultural, and domestic activities. However, its water quality under threat from various anthropogenic pressures. This review synthesises existing literature to assess the river’s quality, focusing on key contaminants, spatial temporal trends, ecological impacts, socio-economic implications. Key pollutants identified include elevated levels of nitrates (>10 mg/L), phosphates (>2 heavy metals such as lead (Pb > 0.01 mg/L) chromium (Cr 0.05 (Nsibande et al. Afr. J. Aquat. Sci. 2024, 262–274, 3.), microbial contaminants with faecal coliforms exceeding 1,000 CFU/100 mL (Mthembu al., Microbiol. Res. 2012, 2020–2026, 9.). Seasonal variations exacerbate these issues, higher pollutant loads observed during rainy periods due increased runoff urban areas. Figures illustrating contaminant trends by season or location could complement findings. The degraded has led declines biodiversity, including fish aquatic macroinvertebrates, poses significant public health risks for communities reliant river drinking sanitation. Maps pollution hotspots biodiversity loss would aid visualizing impacts. knowledge gaps inconsistent sampling methodologies, insufficient long-term data, absence region-specific Water Quality Index (WQI). highlights need standardised WQI frameworks, advanced monitoring technologies, tracking mechanisms address challenges. Additionally, studies community-based conservation initiatives are recommended mitigate impacts improve sustainability. These findings serve foundation targeted research policy actions protect sustainably manage system.

Language: Английский

Citations

0
The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model DOI
Md Galal Uddin, Apoorva Bamal, Mir Talas Mahammad Diganta

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 122, P. 411 - 435

Published: March 18, 2025

Language: Английский

Citations

0
Surface Water Quality Assessment in Jinta County, Jiuquan City, Gansu Province Using the Water Quality Index Method DOI

Haotian Liang,

Ronglong Mu,

Hui Li

et al.

Environmental science and engineering, Journal Year: 2025, Volume and Issue: unknown, P. 195 - 201

Published: Jan. 1, 2025

Language: Английский

Citations

0