Source identification of surface water pollution using multivariate statistics combined with physicochemical and socioeconomic parameters

Zhang, Han; Li, Hongfei; Gao, Dongdong; Yu, Haiyang

doi:10.1016/j.scitotenv.2021.151274

Cited by 52 publications

(14 citation statements)

References 48 publications

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“…The environmental emission of PPCPs is not equal across geographical (and, critically) socioeconomic dimensions (Choi et al, 2020). Recent studies have suggested aquatic pollution associations between socioeconomic drivers (e.g., gross national income [GNI] and population density) and wastewater treatment practices (see Choi et al, 2020; Wang, Walker, et al, 2020; Zhang et al, 2022). A detailed discussion of the effects of socioeconomic drivers on watershed integrity, chemical pollution, and risk is outside the scope of our study and is considered elsewhere (see Iskandar et al, 2020; Scown et al, 2017).…”

Section: What Is Our Understanding Of the Topic Area?mentioning

confidence: 99%

Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future?

Wilkinson,

Thornhill,

Oldenkamp

et al. 2023

Enviro Toxic and Chemistry

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Pharmaceuticals and personal care products (PPCPs) are an indispensable component of a healthy society. However, they are well established environmental contaminants, and many can elicit biological disruption in exposed organisms. It is now a decade since the Society of Environmental Toxicology and Chemistry (SETAC) published its landmark review of PPCPs in the environment (Boxall et al., 2012). Here we discuss key research priorities for the next 10 years with an aim on how regions where PPCPs pose the greatest risk to environmental and human health, either now or in the future, can be identified. Specifically, we discuss why this problem is of importance and review our current understanding of PPCPs in the aquatic environment. Foci include PPCP occurrence and what drives their environmental emission as well as our ability to both quantify and model their distribution. We highlight critical areas for future research including the involvement of citizen science for environmental monitoring and using modelling techniques to bridge the gap between research capacity and needs. As prioritisation of regions in need of environmental monitoring is needed to assess future/current risk, we also propose four criteria with which this may be achieved. Applying these criteria to available monitoring data we narrow the focus on where monitoring efforts for PPCPs are most urgent. Specifically, 19 cities across Africa, Central America, the Caribbean, and Asia were highlighted as priorities for future environmental monitoring and risk characterisation. Together, this informs our suggestion of four priority research questions for the next 10 years.

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Section: What Is Our Understanding Of the Topic Area?mentioning

confidence: 99%

Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future?

Wilkinson,

Thornhill,

Oldenkamp

et al. 2023

Enviro Toxic and Chemistry

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Section: Introductionmentioning

confidence: 99%

“…(Cheng et al 2020, Huang et al 2010. Therefore, rapid water quality assessment and accurate identi cation of pollution sources can help researchers develop strategies for water management and pollutant control (Zhang et al 2022).Recently, China has mainly been relying on sampling analysis and automated monitoring stations to obtain water quality data. Various complex monitoring procedures are typically used, and additional physical and chemical parameters for water quality monitoring are included over time.…”

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confidence: 99%

Water quality assessment and pollution source apportionment using multivariate statistical and PMF receptor modeling techniques in a sub-watershed of the upper Yangtze River, Southwest China

Ren

Yang

Zhao

et al. 2023

Environ Geochem Health

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The rapid industrial and agricultural development as well as urbanization signi cantly affect the water environment, especially in subwatersheds where the contaminants/constituents present in the pollution sources are complex and the ow is unstable. Water quality assessment and quantitative identi cation of pollution sources are the primary prerequisites for the improvement of water management and quality. In this work, 168 water samples were collected from seven stations throughout 2018-2019 along the Laixi River, which is an important pollution control unit in the upper reaches of the Yangtze River. Multivariate statistics and positive matrix factorization (PMF) receptor modeling techniques were used to evaluate the characteristics of the river-water quality and reveal the pollution sources. Principal component analysis (PCA) was used to screen the crucial parameters and establish an optimized water quality assessment procedure to reduce the analysis cost and improve the assessment e ciency. Cluster analysis (CA) further illustrates the spatiotemporal distribution characteristics of river water quality. Results indicated that high-pollution areas are concentrated in the tributaries, and the high-pollution periods are the spring and winter, which veri es the reliability of the evaluation system. The PMF model identi ed ve and six potential pollution sources in the cold and warm seasons, respectively. Among them, pollution from agricultural activities and domestic wastewater shows the highest contributions (33.2% and 30.3%, respectively) during the cold and warm seasons, respectively. The results of this study can provide corresponding theoretical support for pollutant control and water quality improvement, and avoid the ecological and health risks caused by the deterioration of water quality. IntroductionRiver-water quality is a serious problem, especially for urban managers and researchers worldwide. Clean rivers provide a safeguard for human health and the ecosystem and prevent the environmental, economic, and social risks associated with pollution (Liu et al. 2019a, Sener et al. 2017). However, with the increase in population, urbanization, and industrialization, pollution from industrial and domestic wastewaters as well as agricultural and urban runoffs has increased the load on surface water. Thus, water resource management faces serious challenges to reduce pollutants (Casillas-Garcia et al. 2021, Zhang et al. 2020a). In the sub-watersheds that lack supervision, the water quality is especially unstable, and the pollution sources are complicated. (Cheng et al. 2020, Huang et al. 2010. Therefore, rapid water quality assessment and accurate identi cation of pollution sources can help researchers develop strategies for water management and pollutant control (Zhang et al. 2022).Recently, China has mainly been relying on sampling analysis and automated monitoring stations to obtain water quality data. Various complex monitoring procedures are typically used, and additional physical and chemical parameters for wa...

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“…The entire ecosystem of this particular dam depends on the overall quality of dam region. Nevertheless, water pollution has been increased due to manmade activities, industrialization and use of chemical-fertilizers in agriculture fields (Zhang et al, 2022;Sangawe et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Assessment of some physico-chemical parameters of water sample from Jayakwadi dam, Aurangabad, M.S., India

Sangawe¹,

Saraf²,

Shaikh³

2023

EEC

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The development of a particular ecosystem requires water for sustainability of living organisms. Different organic and inorganic components are dissolved in water, as it is universal solvent. The optimum level of different constituents is responsible to maintain respective quality for the suitable growth and development of plants, animals and micro-organisms. The physico-chemical parameters of water samples collected in the year 2018-2019 from Jayakwadi dam were analysed. To understand these parameters is important, as the Jaykwadi dam water is essential for drinking, irrigation and industrial concern of Marathwada region. Therefore, in this paper different physico-chemical parameters viz. Temperature, pH, DO, BOD, Hardness, alkalinity, TDS, turbidity, Chlorides, Phosphates, chlorine, nitrates etc. are studied.

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Source identification of surface water pollution using multivariate statistics combined with physicochemical and socioeconomic parameters

Cited by 52 publications

References 48 publications

Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future?

Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future?

Water quality assessment and pollution source apportionment using multivariate statistical and PMF receptor modeling techniques in a sub-watershed of the upper Yangtze River, Southwest China

Assessment of some physico-chemical parameters of water sample from Jayakwadi dam, Aurangabad, M.S., India

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