Water quality assessment based on Nemerow pollution index method: A case study of Heilongtan reservoir in central Sichuan province, China

Su, Kai; Wang, Qin; Li, Linxiao; Cao, Rong; Xi, Yingwei; Li, Guizhi

doi:10.1371/journal.pone.0273305

Cited by 20 publications

(11 citation statements)

References 9 publications

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“…EM is usually combined with the comprehensive assessment method to perform risk assessment in food safety, and the related work is presented in the Section Comprehensive assessment . NPI is a weighted multi-factor pollution index, which emphasizes the most polluting factors while also considering the contribution of other factors in the assessment system 33 . This method first calculates the single-factor pollution index, then computes the comprehensive pollution index using the maximum and the average of the single-factor pollution index, such as calculating the heavy metal contamination risk of edible mushrooms 34 and vegetables 35 .…”

Section: Data Analysis Methods In Food Safetymentioning

confidence: 99%

Review of visual analytics methods for food safety risks

Chen,

Wu,

Zhang

et al. 2023

npj Sci Food

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With the availability of big data for food safety, more and more advanced data analysis methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which has emerged in recent years, integrates human and machine intelligence into the data analysis process in a visually interactive manner, helping researchers gain insights into large-scale data and providing new solutions for RAPW. This review presents the developments in visual analytics for food safety RAPW in the past decade. Firstly, the data sources, data characteristics, and analysis tasks in the food safety field are summarized. Then, data analysis methods for four types of analysis tasks: association analysis, risk assessment, risk prediction, and fraud identification, are reviewed. After that, the visualization and interaction techniques are reviewed for four types of characteristic data: multidimensional, hierarchical, associative, and spatial-temporal data. Finally, opportunities and challenges in this area are proposed, such as the visual analysis of multimodal food safety data, the application of artificial intelligence techniques in the visual analysis pipeline, etc.

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Section: Data Analysis Methods In Food Safetymentioning

confidence: 99%

Review of visual analytics methods for food safety risks

Chen,

Wu,

Zhang

et al. 2023

npj Sci Food

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“…96/2019, 20/2023 and 50/2023, [33]) defined for Cd, Pb and Ni. The pollution index was calculated using the following formula [34]: The concentrations of all TMs shown in Figure 5 clearly show that they fluctuated considerably during the 8 days of sampling but exhibited a common pattern. Especially indicative changes were registered for Zn and Cu, and to some extent also for Cd and Pb.…”

Section: Risk Assessmentmentioning

confidence: 99%

“…96/2019, 20/2023 and 50/2023, [33]) defined for Cd, Pb and Ni. The pollution index was calculated using the following formula [34]:…”

Section: Risk Assessmentmentioning

confidence: 99%

Examining the Impact of Long-Term Industrialization on the Trace Metal Contaminants Distribution in Seawater of the Pula Bay, Croatia

Grozdanić,

Cindrić,

Finderle

et al. 2024

JMSE

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In this study, we examined for the first time the spatio-temporal distribution of trace metal (TM) contaminants (Zn, Cd, Pb, Cu, Ni and Co) in the seawater column of Pula Bay. The bay has been known for decades as one of the most industrialized regions on the Croatian side of the Adriatic. Water samples were collected at 20 sites (at two depths) in four different seasons. The main physico-chemical parameters and DOC were measured along the TMs. The spatial distribution clearly showed that areas with industrial and nautical activities are sources of Zn, Pb and Cu, while no increase was observed for Cd, Ni and Co. Compared to the reference area outside the bay, the increase in dissolved concentrations ranged from a factor of 1.1 for Ni and Co to 8.5 for Pb. A clear difference in TM concentrations was observed between seasons, with concentrations being higher in warmer periods than in colder periods. The potential bioavailability/toxicity of TMs was examined using a passive sampling technique: diffusive gradients in thin films (DGT). In addition, a single-factor pollution index based on the available EQSs was used for both the dissolved TMs and DGT to assess the potential risk to the environment.

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“…Multiple types of heavy metals often coexist in water bodies, and the Nemerow integrated pollution index method is a common method for evaluating heavy metal pollution in water bodies. It can reflect the current status of heavy metal pollution in water bodies and the different contributions of various heavy metals to the composite pollution effect, and it can screen the main pollutants 24 . The single-factor pollution index is divided into four levels, namely, P i ≤ 1 for no pollution, 1 < P i ≤ 2 for low pollution, 2 < P i ≤ 3 for medium pollution, and P i > 3 for high pollution.…”

Section: Spatial and Temporal Distribution Characteristics Of Antibio...mentioning

confidence: 99%

Spatial and temporal distribution characteristics of antibiotics and heavy metals in the Yitong River basin and ecological risk assessment

Zhao

Wang

Qian

et al. 2023

Sci Rep

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Due to rapid socioeconomic development, antibiotic pollution and heavy metal pollution are receiving increasing amounts of attention. Both antibiotics and heavy metals in the environment are persistent and toxic, and the interactions between the pollutants create potential long-term hazards for the ecological environment and human health as mixed pollutants. In this study, the surface water of the Yitong River in Changchun was used as the research object, and the hazards associated with antibiotics and heavy metals in the surface water were assessed by analyzing the spatial and temporal distribution characteristics of antibiotics and heavy metals and by using ecological risk assessment and human health risk assessment models. The results showed that ofloxacin (OFL) and norfloxacin (NOR) varied seasonally according to the seasonal climate, with total concentrations ranging from 17.65 to 902.47 ng/L and ND to 260.49 ng/L for OFL and NOR, respectively, and from 8.30 to 120.40 μg/L, 1.52 to 113.41 μg/L and 0.03 to 0.04 μg/L for copper (Cu), zinc (Zn) and cadmium (Cd), respectively. In terms of spatial distribution, the concentration of antibiotics in the urban sections, which had intensive human activities, was higher than that in the suburban sections, while the concentration of heavy metals in the suburban sections, which had intensive agricultural operations, was greater than that in the urban section. Ecological risk evaluation showed that NOR and OFL were present in the water bodies at a high-risk level, Cd was at a low pollution level, and the heavy metal Cd was the primary pollutant associated with health risks toward for adults and children, and it was mainly at a medium risk level. Additionally, both antibiotics and heavy metals posed higher health risks for children than for adults.

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Water quality assessment based on Nemerow pollution index method: A case study of Heilongtan reservoir in central Sichuan province, China

Cited by 20 publications

References 9 publications

Review of visual analytics methods for food safety risks

Review of visual analytics methods for food safety risks

Examining the Impact of Long-Term Industrialization on the Trace Metal Contaminants Distribution in Seawater of the Pula Bay, Croatia

Spatial and temporal distribution characteristics of antibiotics and heavy metals in the Yitong River basin and ecological risk assessment

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