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

Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model DOI Creative Commons
Md Galal Uddin, Azizur Rahman, Firouzeh Taghikhah

et al.

Water Research, Journal Year: 2024, Volume and Issue: 255, P. 121499 - 121499

Published: March 20, 2024

Recently, there has been a significant advancement in the water quality index (WQI) models utilizing data-driven approaches, especially those integrating machine learning and artificial intelligence (ML/AI) technology. Although, several recent studies have revealed that model produced inconsistent results due to data outliers, which significantly impact reliability accuracy. The present study was carried out assess of outliers on recently developed Irish Water Quality Index (IEWQI) model, relies techniques. To author's best knowledge, no systematic framework for evaluating influence such models. For purposes assessing outlier (WQ) this first initiative research introduce comprehensive approach combines with advanced statistical proposed implemented Cork Harbour, Ireland, evaluate IEWQI model's sensitivity input indicators quality. In order detect outlier, utilized two widely used ML techniques, including Isolation Forest (IF) Kernel Density Estimation (KDE) within dataset, predicting WQ without these outliers. validating results, five commonly measures. performance metric (R2) indicates improved slightly (R2 increased from 0.92 0.95) after removing input. But scores were statistically differences among actual values, predictions 95% confidence interval at p < 0.05. uncertainty also contributed <1% final assessment using both datasets (with outliers). addition, all measures indicated techniques provided reliable can be detecting their impacts model. findings reveal although had architecture, they moderate rating schemes' This finding could improve accuracy as well helpful mitigating eclipsing problem. provide evidence how influenced reliability, particularly since confirmed effective accurately despite presence It occur spatio-temporal variability inherent indicators. However, assesses underscores important areas future investigation. These include expanding temporal analysis multi-year data, examining spatial patterns, detection methods. Moreover, it is essential explore real-world revised categories, involve stakeholders management, fine-tune parameters. Analysing across varying resolutions incorporating additional environmental enhance assessment. Consequently, offers valuable insights strengthen robustness provides avenues enhancing its utility broader applications. successfully adopted affect current Harbour only single year data. should tested various domains response terms resolution domain. Nevertheless, recommended conducted adjust or revise schemes investigate practical effects updated categories. potential recommendations adaptability reveals effectiveness applicability more general scenarios.

Language: Английский

Citations

36
Implications of climate change on water quality and sanitation in climate hotspot locations: A case study in Indonesia DOI Creative Commons
Tonni Agustiono Kurniawan, Erick R. Bandala, Mohd Hafiz Dzarfan Othman

et al.

Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: 24(2), P. 517 - 542

Published: Jan. 24, 2024

Abstract Southeast Asia is vulnerable to climate change with over half of its population already being impacted by drought, flooding, and rise in sea levels recently. This work reviews the current water resource challenges Indonesia, prone rising impacts change. A baseline assessment Indonesia's drinking resources related original sources presented. In response a growing concern chronic that undermine supply nationwide, this study analyses safety supervision. To accomplish this, literature survey (100 studies published during 2000–2023 period) was performed identify regional groundwater sustainability security issues. Among main findings study, only 10% rainfall infiltrates groundwater, while 70% rivers are heavily polluted domestic waste. During period, availability decreased 1,200 m3/year 2020, 35% economically feasible for reuse. The deficit Indonesia estimated be 5.5 hm3/year roughly 67% population's demand satisfied 2021. Although might fulfilled private vendors, supply/demand forecasts 2030 suggest gap could not closed increasing supply.

Language: Английский

Citations

29
Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques DOI Creative Commons
Abhijeet Das

Applied Water Science, Journal Year: 2025, Volume and Issue: 15(2)

Published: Jan. 23, 2025

Language: Английский

Citations

4
Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model DOI Creative Commons
Md Galal Uddin, Mir Talas Mahammad Diganta, Abdul Majed Sajib

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 336, P. 122456 - 122456

Published: Sept. 4, 2023

The COVID-19 pandemic has significantly impacted various aspects of life, including environmental conditions. Surface water quality (WQ) is one area affected by lockdowns imposed to control the virus's spread. Numerous recent studies have revealed considerable impact on surface WQ. In response, this research aimed assess in Ireland using an advanced WQ model. To achieve goal, six years monitoring data from 2017 2022 were collected for nine indicators Cork Harbour, Ireland, before, during, and after lockdowns. These include pH, temperature (TEMP), salinity (SAL), biological oxygen demand (BOD5), dissolved (DOX), transparency (TRAN), three nutrient enrichment indicators-dissolved inorganic nitrogen (DIN), molybdate reactive phosphorus (MRP), total oxidized (TON). results showed that lockdown had a significant indicators, particularly TEMP, TON, BOD5. Over study period, most within permissible limit except MRP, with exception during COVID-19. During pandemic, TON DIN decreased, while improved. contrast, COVID-19, at 7% sites deteriorated. Overall, Harbour was categorized as "good," "fair," "marginal" classes over period. Compared temporal variation, improved 17% period Harbour. However, no trend observed. Furthermore, analyzed model's performance assessing indicate model could be effective tool evaluating lockdowns' quality. can provide valuable information decision-making planning protect aquatic ecosystems.

Language: Английский

Citations

41
Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland DOI Creative Commons
Md Galal Uddin,

Aoife Jackson,

Stephen Nash

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 901, P. 165960 - 165960

Published: Aug. 3, 2023

This study aims to evaluate existing approaches for monitoring and assessing water quality in waterbodies the North of Ireland using newly developed methodologies. The results reveal significant differences between new technique "one-out, all-out" approach rating quality. found status be "good," "fair," "marginal," whereas classified as "moderate," respectively. outperformed different waterbody types, with high R2 = 1, NSE 0.99, MEF 0 values. Furthermore, final assessment methodologies had lowest uncertainty (<1 %), efficiency measures (NSE MEF) indicate that are bias-free assess at any geographic scale. this proposed effective states transitional coastal Ireland. also highlighted limitations importance updating resource management systems better protection these waterbodies. findings have implications planning other similar regions.

Language: Английский

Citations

39
Assessing water quality index and health risk using deterministic and probabilistic approaches in Darab County, Iran; A machine learning for fluoride prediction DOI
Amin Mohammadpour,

Mahsa Keshtkar,

Mohammad Reza Samaei

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141284 - 141284

Published: Feb. 7, 2024

Language: Английский

Citations

12
Novel Groundwater Quality Index (GWQI) model: A Reliable Approach for the Assessment of Groundwater DOI Creative Commons
Abdul Majed Sajib, Apoorva Bamal, Mir Talas Mahammad Diganta

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104265 - 104265

Published: Feb. 1, 2025

Language: Английский

Citations

1
Transforming Complex Water Quality Monitoring Data into Water Quality Indices DOI Creative Commons
Nashwa A. Shaaban, David K. Stevens

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

1
Fluoride enrichment in groundwater and its association with other chemical ingredients using GIS in the Arjunanadi River basin, Southern India: Implications from improved water quality index and health risk assessment DOI

Mohan Raj,

D. Karunanidhi,

Priyadarsi D. Roy

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103765 - 103765

Published: Oct. 1, 2024

Language: Английский

Citations

6
Global water quality indices: Development, implications, and limitations DOI Creative Commons
Dheeraj Kumar, Rakesh Kumar, Madhuben Sharma

et al.

Total Environment Advances, Journal Year: 2023, Volume and Issue: 9, P. 200095 - 200095

Published: Dec. 30, 2023

Water quality index is crucial for improving water and clean supply to achieve sustainable development goals directly related water, agriculture, biodiversity, health, climate actions. examines the vital relationship between demand, focusing on role that (WQ) plays in integrated environmental management. This study evaluates methodology limitations of several studies by doing a thorough examination regional global WQ indices synthesizing results. Quality Indices (WQIs) have been used measure since 1960s, offering mechanism changes at specific needs challenges. review assesses using indexes based aims provide detailed analysis various WQIs utilized across globe. The stated measurements into single number, which are categorized as poor, marginal, fair, excellent, exceptional, depict clearly understandably WQ. However, region-specific required due variety standards established national international organizations, well different pollution prevention elements. Thus, there continual interest developing exact suitable region or geographic area. Still, structured in-depth literature examine current research, evaluate, highlight drawbacks methodologies employed each phase. offers insightful information researchers, decision-makers, practitioners tackling ever-changing problems resource debate concentrates WQI-related topics, such how evolved, what variables define their parameter requirements, restrictions have, widely used, benefits over one another regarding worldwide applicability.

Language: Английский

Citations

15