Assessment of seasonal impacts on Water Quality in Yamuna river using Water Quality Index and Multivariate Statistical approaches DOI Creative Commons
Runit Isaac, Shaziya Siddiqui,

Prerna Higgins

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(3), P. 145 - 153

Published: July 24, 2024

This study analyzed the water quality of Yamuna river in Prayagraj across nine locations where sampling was done upstream, downstream and middle stream from May 2019 to April 2020 using fourteen parameters. Quarterly samples showed good Water Quality Index (WQI) values for summer (95.19), monsoon (77.28), winter (90.77), but a decline spring (102.11) due religious activities observed. Inductively coupled plasma mass spectroscopy suggested high concentration Ca2+, Mg2+, K, P river. Principal Component Analysis revealed 9 significant factors (eigen value >0.5) covering 25.13 – 93.89 % variance. Strong correlations included TDS-EC (0.853) Ca2+ Mg2+ (1.00) The correlation between parameters generated by principal component analysis that main affecting vary all seasons. Based on indicators, anthropogenic are accountable deteriorate water. Therefore, pollution status need be made publicly.

Language: Английский

Integration of Water Quality Indices and Multivariate Modeling for Assessing Surface Water Quality in Qaroun Lake, Egypt DOI Open Access
Mohamed Gad, Magda M. Abou El-Safa, Mohamed Farouk

et al.

Water, Journal Year: 2021, Volume and Issue: 13(16), P. 2258 - 2258

Published: Aug. 18, 2021

Water quality has deteriorated in recent years as a result of rising population and unplanned development, impacting ecosystem health. The water parameters Qaroun Lake are contaminated to varying degrees, particularly for aquatic life consumption. For that, the objective this work is improve assessments surface determine different geo-environmental affecting lake environmental system utilizing weighted arithmetic index (WAWQI) four pollution indices (heavy metal (HPI), (MI), contamination (Cd), (PI), that enhanced by multivariate analyses cluster analysis (CA), principal component (PCA), support vector machine regression (SVMR). Surface samples were collected at 16 locations from during 2018 2019. Thirteen physiochemical measured used calculate (WQIs). WQIs such WAWQI, HPI, MI, Cd, PI revealed degree contamination, with respect utilization. unsuitable, high polluted, seriously affected an environment. findings significantly impacted Al, moderately Cd Cu, while slightly Zn due uncontrolled releases domestic industrial wastewater. Furthermore, increasing salinity accelerates deterioration Therefore, sewage drainage wastewater should be treated before discharging into lake. SVMR models based on presented highest performance alternative method predict WQIs. example, calibration (Val.) validation performed best assessing R2 (0.99) (0.97–0.99), respectively. Finally, combination WQIs, CA, PCA, approaches could employed assess Lake.

Language: Английский

Citations

83

Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland DOI Open Access
Mariusz Sojka, Joanna Jaskuła

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(17), P. 10502 - 10502

Published: Aug. 23, 2022

This study investigated the spatial distribution, contamination, potential ecological risks and quantities of pollutant sources six heavy metals (HMs) in sediments 47 rivers. The catchments rivers are situated Poland, but some them located Slovakia, Czech Republic, Germany. Cluster analysis was applied to analyze distribution Cd, Cr, Cu, Ni, Pb, Zn river sediments. Moran I Getis-Ord Gi* statistics were calculated reveal pattern hotspot values. Principal component (PCA) positive matrix factorization (PMF) used identify pollution sources. Furthermore, geochemical indices sediment quality guidelines allowed us assess contamination toxic effects on aquatic biota. results showed that 1/3rd rivers, HM concentrations indicate contamination. EF, PLI, MPI at a rather low level 2/3rd analyzed Only individual may HMs have Spatial autocorrelation using statistic revealed random dispersed PCA identified two HMs’ delivery environment. originate from point non-point sources, while Cd dominant natural origin. PMF three pollution. Among them, urban responsible for Cu delivery, agricultural Zn, industrial Ni Cr. Moreover, no relationship between catchment land-use patterns content

Language: Английский

Citations

53

Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation DOI
Tao Yan, Annan Zhou, Shui‐Long Shen

et al.

Environmental Pollution, Journal Year: 2022, Volume and Issue: 318, P. 120870 - 120870

Published: Dec. 13, 2022

Language: Английский

Citations

53

Evaluation of metal accumulation in Terme River sediments using ecological indices and a bioindicator species DOI
Fikret Ustaoğlu, Serkan Kükrer, Beyhan Taş

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(31), P. 47399 - 47415

Published: Feb. 18, 2022

Language: Английский

Citations

50

A multidimensional approach for microplastics monitoring in two major tropical river basins, Malaysia DOI
Sabiqah Tuan Anuar,

Nor Salmi Abdullah,

Nasehir Khan E.M. Yahya

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 227, P. 115717 - 115717

Published: March 23, 2023

Language: Английский

Citations

27

Evaluation of water quality pollution and analysis of vertical distribution characteristics of typical Rivers in the Pearl River Delta, South China DOI Creative Commons

Yangyang Xue,

Yongwen Ma,

Guoqing Long

et al.

Journal of Sea Research, Journal Year: 2023, Volume and Issue: 193, P. 102380 - 102380

Published: April 19, 2023

Water quality comprehensive evaluation is an essential technical measure for water environment management and treatment. The previous research methods were often insufficient studying black-sticking bodies' formation transformation mechanisms. In view of this, the single pollution index method identification (Iwq) used to evaluate characteristics rivers; main factors sources watershed determined by principal component analysis (PCA), vertical stratification bodies analyzed. results showed that total nitrogen (TN) values pollutants in typical rivers Pearl River Delta higher than class V standard, ammonia (NH3−N) level was second-highest. TN concentration ranges from 4.27 19.83 mg/g, NH3-N 2.44 15.37 mg/g. addition, monitoring 15 rivers, 11 them inferior surface water, including five rivers' categories black-stinking bodies. This may be related process self-purification pollutant transport, densely populated areas are subject discharge domestic sewage industrial sewage. PCA extracted three components (PC), accounting 88.825% variance, with first third PCs controlled human activities second PC influenced natural sources. There a more apparent here Delta, DO important factor affecting distribution chemical oxygen demand (COD), NH3-N, TN, phosphorus (TP), sulfide, Ferrum (Fe), manganese (Mn). severe lack deep led elevated levels Fe, Mn, gases such as hydrogen sulfide released under anaerobic conditions, resulting eutrophication

Language: Английский

Citations

24

Nitrate and fluoride contamination in the groundwater in a tribal region of north Maharashtra, India: An account of health risks and anthropogenic influence DOI
S. N. Patil, Bhavesh D. Patil, Ajaykumar Kadam

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101107 - 101107

Published: Feb. 8, 2024

Language: Английский

Citations

12

The detrimental effects of heavy metals on tributaries exert pressure on water quality, Crossocheilus aplocheilus, and the well-being of human health DOI Creative Commons

Muhammad Subhanullah,

Nazim Hassan, Sajid Ali

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 4, 2024

Abstract The escalating presence of heavy metals (HMs) in the Panjkora River water and their impact on fish pose a significant challenge to both ecological community human health. Consequently, study was conducted with primary aim elucidating influence health-related issues. To address this, concentrations metals, including arsenic (As), cadmium (Cd), iron (Fe), manganese (Mn), lead (Pb), zinc (Zn), species Crossocheilus diplocheilus were investigated across various locations within area. quantification HMs concentration carried out utilizing an atomic absorption spectrophotometer. highest found as 0.060 mg/L for Pb lowest Fe, whereas 2.028 mg/kg As. Human health risk associated eating evaluated by using indices (HRI) non-carcinogenic risks targeted cancer (TR) carcinogenic risks. values index greater than 1 except Fe (0.0792), Zn (0.782), Mn (0.541). mean HRI > recorded As (62.99), Cd (26.85), (10.56). This implies that consumption from river is not safe up some extent. Similarly, TR value As, Cd, 2.8 $$\times {10}^{-2}$$ × 10 - 2 , 1.6 × $${10}^{-3}$$ 3 which showed risk. There detected River. government must implement adaptive measures this issue pollution Additionally, there need further extensive prolonged research studies context.

Language: Английский

Citations

9

Assessing heavy metal and physiochemical pollution load of Danro River and its management using floating bed remediation DOI Creative Commons
Aditi Majumdar, Kirti Avishek

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 30, 2024

River Danro in Garhwa (India) plays a vital role as significant source of surface water and crucial tributary the North Koel River, ultimately joining Ganga Basin. Serving both urban-industrial rural areas, region faces challenges, including sand mining near Belchampa Ghat. This study aimed to assess physicochemical heavy metals pollution at nine sampling locations, utilizing Overall Index Pollution (OIP), Nemerow (NPI), Heavy Metal (HPI). OIP values indicated excellent quality (0.71) non-monsoon slight (6.28) monsoon. NPI ranged from 0.10 1.74 0.22 (clean) 27.15 (heavily polluted) HPI results suggested groundwater contamination, particularly by lead. Principal component analysis (PCA) geospatial mapping showed similar outcomes, highlighting influence adjacent land use on quality. Recognizing significance sustaining life, livelihoods, economic growth, recommends implementing measures like floating bed remediation regulatory actions for effective river management. The acknowledges weaknesses current practical assessment methods contamination. These make it difficult put plans cleaning up controlling contamination into action. Because this, future research developing new in-place techniques should focus creating better ways measure how cleanup is.

Language: Английский

Citations

9

Pollution status and ecological risks of metals in surface water of a coastal estuary and health risk assessment for recreational users DOI

Md. Khalid Hassan Real,

Memet Varol, M. Safiur Rahman

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 348, P. 140768 - 140768

Published: Nov. 22, 2023

Language: Английский

Citations

19