Characteristics of two comprehensive assessment methods for water quality based on different evaluation criteria and their applications in aquatic environment management

Qi, 刘琦 Liu; Tian, Yulu; Yang, 刘洋 Liu; Dingxue, 许丁雪 Xu; Jiemin, 李洁敏 Li; Yuan, 江源 Jiang

doi:10.5846/stxb201811182499

Cited by 6 publications

(6 citation statements)

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“…The score and weight of each indicator are determined on the basis of a large number of previous research results and the degree of harm to water health. The values of C i and P i in this study are listed in Table 1 [20][21][22][23]. According to the WQI value, water quality can be classified into five levels as follows: excellent [90-100], good [70-90), medium [50-70), poor [25-50), very poor [0-25).…”

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Multiple Evaluations of the Spatial and Temporal Characteristics of Surface Water Quality in the Typical Area of the Yangtze River Delta of China Using the Water Quality Index and Multivariate Statistical Analysis: A Case Study in Shengzhou City

Liu

2023

IJERPH

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Surface water assessments are of critical importance for balancing economic development with the ecological environment in rapidly developing regions. In this research, Shengzhou City, a typical town in the Yangtze River Delta region of China, was chosen to conduct a surface water quality study. As a region with a well-developed water system, monthly water quality monitoring data from eight sampling sites on the major tributaries and the mainstream were selected for six consecutive years from 2013 to 2018, containing seven important water quality indicators (pH, DO, CODMn, CODCr, BOD, NH4+-N, and TP). The comprehensive evaluation method based on the water quality index (WQI) and multivariate statistical analysis methods of cluster analysis (CA) and principal component analysis (PCA) were applied to explore the spatial and temporal changes of water quality in Shengzhou City. The main findings are as follows: (1) spatially, for three main tributaries, Xinchang River had the worst water quality, followed by Changle River, while Huangze River had the best. The water quality of the tributaries had higher volatility than the mainstream. (2) The sampling sites with similar locations had similar water quality characteristics. (3) Seasonally, for the four indicators of DO, CODMn, CODCr, and BOD, the water quality was better in the dry season while, for NH4+-N and TP, water quality was better in the wet season. The low WQI points were more likely to appear in the wet season. (4) The results of WQI assessment showed an improving trend in water quality. (5) Nitrogenous substances and organic matter were the key pollutants in this area. The research results prove that water quality evaluation methods and multivariate statistical methods are effective for the study of regional surface water quality.

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Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Multiple Evaluations of the Spatial and Temporal Characteristics of Surface Water Quality in the Typical Area of the Yangtze River Delta of China Using the Water Quality Index and Multivariate Statistical Analysis: A Case Study in Shengzhou City

Liu

2023

IJERPH

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“…Liu Qi et al evaluated the water quality of Yixun River by using two comprehensive evaluation methods of water quality health assessment and water quality index. It is determined that the two water quality comprehensive evaluation methods of ETI and WQI play an important role in the evaluation of the management effect of the basin after long‐term management (Liu et al, 2019). Taking Tanghe Reservoir as the research object, Tian Yu et al used principal component extraction (PCA) to extract the main pollution factors of monitoring factors, and used WQI min model to evaluate the water quality of Tanghe Reservoir, reflecting the seasonal variation characteristics and main pollution sources of Tanghe Reservoir water quality (Tian et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…A common method for evaluating water quality is single factor assessment, yet it can easily lead to biased evaluation findings that do not accurately represent the state of lake water quality overall (Li et al, 2016; Zhang et al, 2021). While the comprehensive assessment method yields more complex conclusions than the single factor assessment, it is nevertheless straightforward and easy to grasp (Hwang et al, 2020; Liu et al, 2019). Liu Qi et al evaluated the water quality of Yixun River by using two comprehensive evaluation methods of water quality health assessment and water quality index.…”

Section: Introductionmentioning

confidence: 99%

Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Su,

Peng,

Zhu

et al. 2024

Water Environment Research

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This study aims to understand the changes in the water quality of Hanyuan Lake and to show these changes over time. In this study, monthly sampling was conducted at three sampling sites in Hanyuan Lake, and water samples were measured for water quality indicators in the laboratory according to the methods specified in the Environmental Quality Standards for Surface Water (GB3838‐2002). Based on the monitoring data from January to December 2019, the WQI comprehensive evaluation method was used to conduct multiple linear stepwise regression analysis, extract key indicators, and establish the WQImin model. The results show that according to the WQI comprehensive evaluation method, the WQI values of Hanyuan Lake are all above 90, and the grade is excellent. The overall water quality of Hanyuan Lake is excellent, and most of the water quality indexes reach the Class I standard in the Environmental Quality Standards for Surface Water (GB3838‐2002). WQImin1 (R2 = 0.86, p < 0.001, PE = 4.28) as the best WQImin model. In this study, a model with fewer parameters was established by multiple linear regression method, which is conducive to better monitoring of water quality at monitoring stations while saving costs.Practitioner Points According to the WQI comprehensive evaluation method, the WQI values of Hanyuan Lake are all above 90, the rating is excellent. From January 2019 to September 2020, the monthly change trend of each section is roughly the same, showing a trend of first decreasing, then rising, then decreasing, and finally rising and flattening. The WQImin model was developed to completely describe the change in the water body.

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“…Water quality monitoring is a prerequisite for the successful management of a healthy lake. Choosing a fast and effective method to survey the water quality in lakes can help in understanding the water environment, which is key in determining the appropriate pollution control strategies that need to be applied (Liu et al, 2019). Remote sensing, an emerging technological tool, can collect the physical parameters of geological features on large spatial and temporal scales (Song et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the driving forces of spectral inversion methods used for assessing water quality parameters in Poyang Lake, China

Wang,

Zhai,

Yang

et al. 2023

Ecohydrology

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Water quality parameters are key indicators of quality of water and can indicate the algal biomass and eutrophication in lakes. Therefore, this study spectrally inverted and evaluated the water quality of the Poyang Lake in China by analysing the differences between the measured water quality parameters and the observed image spectra of Sentinel‐2 remote sensing. This analysis was done using statistical regression models (SRMs) and various machine learning models (e.g., support vector machine [SVM] and random forest [RF]). The following major conclusions were drawn: (1) nutrients accumulated more in summer (June–August) than in winter (December–February). For example, in local areas of the main river, total nitrogen (TN) concentration reached 3.4 mg/L in summer of 2016, whereas total phosphorus (TP) concentrations were below 0.052 mg/L in winters of 2016 and 2017. (2) The three models, SRM, RF and SVM, achieved good results in the inversions of Secchi depth and permanganate index. However, differences were noted in the inversions of other parameters. For example, the goodness‐of‐fit (r2) between the inversion and measured values of TN concentration from RF was 0.81, while that from SR was 0.73. (3) The spatial distribution patterns of the water quality parameters showed differences. The ammoniacal nitrogen concentration was higher in the central region than that in the western region of the lake, whereas TP concentration was higher at the shoreline of the lake at 0.07 mg/L on 2 April 2017 but was relatively low in the main channel.

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Characteristics of two comprehensive assessment methods for water quality based on different evaluation criteria and their applications in aquatic environment management

Cited by 6 publications

References 0 publications

Multiple Evaluations of the Spatial and Temporal Characteristics of Surface Water Quality in the Typical Area of the Yangtze River Delta of China Using the Water Quality Index and Multivariate Statistical Analysis: A Case Study in Shengzhou City

Multiple Evaluations of the Spatial and Temporal Characteristics of Surface Water Quality in the Typical Area of the Yangtze River Delta of China Using the Water Quality Index and Multivariate Statistical Analysis: A Case Study in Shengzhou City

Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Evaluating the driving forces of spectral inversion methods used for assessing water quality parameters in Poyang Lake, China

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