Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China

Jiang, Jiping; Khan, Afed Ullah; Shi, Bin; Tang, Sijie; Khan, Jehanzeb

doi:10.1007/s13201-019-0938-4

Cited by 25 publications

(10 citation statements)

References 55 publications

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“…Amongst the degraded monitoring locations, fifty percent of the monitoring stations along the Huaihe River were seriously polluted. The Huaihe River’s water quality has deteriorated in recent decades, and substantial regions of the province do not fulfill national surface water quality criteria [ 124 ]. In addition, the river water around the smelter was heavily polluted by heavy metals.…”

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

“…Also, the exposed area’s well water may have become polluted with Cd and As due to smelting activities [ 117 ]. Stormwater sweeps all sorts of pollutants from various land practices to the river [ 124 ], and irrigation of farmland with heavy metal polluted river water posed a serious threat to soil health [ 125 ]. Irrigative sewage transports heavy metals to the soil, where they are fixed in a variety of ways.…”

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

“…Commercial wastewater release is a significant Pb contamination source in the Yangtze River Delta and Pearl River Delta [ 18 ]. Due to frequent water pollution incidents, the Huaihe River, China’s seventh-largest river, poses a severe threat to its national security and socio-economic development [ 124 ]. The Huaihe River basin is China’s primary grain-producing region [ 124 ].…”

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

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Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Adnan

Xiao

et al. 2022

Toxics

103

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Contamination by heavy metals is a significant issue worldwide. In recent decades, soil heavy metals pollutants in China had adverse impacts on soil quality and threatened food security and human health. Anthropogenic inputs mainly generate heavy metal contamination in China. In this review, the approaches were used in these investigations, focusing on geochemical strategies and metal isotope methods, particularly useful for determining the pathway of mining and smelting derived pollution in the soil. Our findings indicate that heavy metal distribution substantially impacts topsoils around mining and smelting sites, which release massive amounts of heavy metals into the environment. Furthermore, heavy metal contamination and related hazards posed by Pb, Cd, As, and Hg are more severe to plants, soil organisms, and humans. It’s worth observing that kids are particularly vulnerable to Pb toxicity. And this review also provides novel approaches to control and reduce the impacts of heavy metal pollution. Hydrometallurgy offers a potential method for extracting metals and removing potentially harmful heavy metals from waste to reduce pollution. However, environmentally friendly remediation of contaminated sites is a significant challenge. This paper also evaluates current technological advancements in the remediation of polluted soil, such as stabilization/solidification, natural attenuation, electrokinetic remediation, soil washing, and phytoremediation. The ability of biological approaches, especially phytoremediation, is cost-effective and favorable to the environment.

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Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

See 1 more Smart Citation

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Adnan

Xiao

et al. 2022

Toxics

103

View full text Add to dashboard Cite

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“…Many studies have successfully applied PMF to the source apportionment of ambient particulate matter [17,18]. In recent years, PMF has also been used to investigate pollution sources in aqueous environments [e.g., 19,[20][21][22][23]. PMF has the following advantages: (1) it includes the integration of non-negative constraints; (2) uncertainties in the data are introduced into the model;…”

Section: Introductionmentioning

confidence: 99%

Hazard Ranking of Wastewater Sources in a Highly Polluted River in Northern Taiwan by Using Positive Matrix Factorization With Metal Elements

Hsieh

Lin

Wang

et al. 2022

Preprint

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Improving water quality is a critical issue worldwide. However, the general parameters (i.e., temperature, pH, turbidity, total solids, fecal coliform, dissolved oxygen, biochemical oxygen demand, phosphates, and nitrates) used in water quality index estimations are unable to identify pollution from industrial wastewater. This study investigated pollution sources at a river pollution hotspot by using the positive matrix factorization (PMF) model. A two-phase sampling collection along a highly polluted river in northern Taiwan was designed. The sampling spots were distributed along the river in Phase I to monitor the spatial variation of river pollutants. A pollution hotspot was determined based on two indices, namely the summed concentrations of elements and a metal index (MI). In Phase II, the river water samples were collected from the hotspot twice daily over 30 consecutive days to monitor the temporal variation of river pollutants. Source profiles of metal elements were obtained during the monitoring period. The Phase II samples were then factorized using the PMF model. Factor profiles retrieved from the PMF model were further assigned to industrial categories through Pearson correlation coefficients and hierarchical classification. The results indicated that the main pollution source was bare printed circuit boards (BPCB), which contributed up to 92% of the copper in the pollution hotspot. In terms of MI apportionment of 11 metals related to health effects, BPCB contributed 91% of the MI in high pollution events. Overall, the MI apportionment provides linkages between pollution level and human health. This is an evidence for policymakers that the regulation of the effluents of BPCB is an effective means to controlling copper concentrations and thus improving water quality in the study area.

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“…Multiple spatial scale analysis is important as it links LULC with biological, physicochemical and trace elements at different scales. LULC in the upstream of a river or station plays vital role in the contamination of water bodies [5]. [6] developed LULC-water quality relationship at riparian scale.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Terrestrial Determinants on Surface Water Quality at Multiple Spatial Scales

Khan¹,

Khan²,

Khan³

et al. 2021

Pol. J. Environ. Stud.

Self Cite

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Investigating terrestrial determinants impacts on surface water quality is critical for watershed management. This research work reports the terrestrial determinants influence on surface water quality at multiple spatial scales at two trans-boundary rivers of Pakistan: The Ravi and Sutlej. This study is based on 18 physicochemical and trace elements (pH, turbidity, electrical conductivity (EC), NO 3 , total dissolved solid (TDS), chemical oxygen demand (COD), biological oxygen demand (BOD), dissolved oxygen (DO), hardness, total nitrogen, phosphorus, Cu, Pb, As, Cr, Mn, Zn, and Cd) from 15 water quality monitoring stations. Terrestrial determinants especially village land use, coarse grained soil (high permeability) and mean slope (high erosion) can impair surface water quality. On the other hand, fine grained soil can protect stream health due to strong retention capacity and low infiltration capability. All spatial scales best explained terrestrial determinants-water quality relationship. Conservative practices are suggested at riparian as well as subbasin scale to account for the nearest and furthest pollutants sources. Restoration of riparian ecosystems should be a high priority for water quality enhancement in particular along the Ravi and Sutlej rivers and the two plains where there are intensive human activities at village level.

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Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China

Cited by 25 publications

References 55 publications

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Hazard Ranking of Wastewater Sources in a Highly Polluted River in Northern Taiwan by Using Positive Matrix Factorization With Metal Elements

Assessment of the Impacts of Terrestrial Determinants on Surface Water Quality at Multiple Spatial Scales

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