ArticleEnvironmental monitoring and assessment2016
Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems.
Article in Environmental monitoring and assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Article
- Seasonal and spatial variations in eutrophication and water quality of Lake Aha, Guiyang city, China.PloS one · 2025Article
- Geochemical assessment of groundwater quality using Nemerov's pollution index: a micro-level study in the groundwater critical zone of western Rajasthan, India.Journal of water and health · 2025Article
- Article
- Temporal and spatial variability of water quality in an urban wetland and the effects of season and rainfall: a case study in the Daguan Wetland, China.Environmental monitoring and assessment · 2022Article
- Water quality characteristics, sources, and assessment of surface water in an industrial mining city, southwest of China.Environmental monitoring and assessment · 2022Article
- Evaluation and prediction of water quality in the dammed estuaries and rivers of Taihu Lake.Environmental science and pollution research international · 2022Article
- Teleconnection between climate oscillations and riverine nutrient dynamics in Southeast China based on wavelet analysis.Environmental science and pollution research international · 2021Article
- Article
- Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia.Environmental monitoring and assessment · 2021Article
- Multivariate analysis of water quality parameters in Lake Palic, Serbia.Environmental monitoring and assessment · 2021Article
- Article
- Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest.Scientific reports · 2020Article
- Use of multivariate statistical methods to analyze the monitoring of surface water quality in the Doce River basin, Minas Gerais, Brazil.Environmental science and pollution research international · 2020Article
- Response of the nitrogen load and its driving forces in estuarine water to dam construction in Taihu Lake, China.Environmental science and pollution research international · 2020Article
- Water pollution characteristics and analysis of Chaohu Lake basin by using different assessment methods.Environmental science and pollution research international · 2020Article
- Implementation of a monitoring approach: the Palic-Ludas lake system in the Republic of Serbia.Environmental monitoring and assessment · 2020Article
- Hydrochemistry and Water Quality Index of groundwater resources in Enugu north district, Enugu, Nigeria.Environmental monitoring and assessment · 2019Article
- Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the context of water resource management and pollution control, the characterization of water quality impairments and identification of dominant pollutants are of critical importance. In this study, water quality impairment was assessed on the basis of 7 hydrochemical variables that were monitored bimonthly at 17 sites in 2010 along the rural-suburban-urban portion of the Wen-Rui Tang River in eastern China. Seven methods were used to assess water quality in the river system. These methods included single-factor assessment, water quality grading, comprehensive pollution index, the Nemerow pollution index, principle component analysis, fuzzy comprehensive evaluation, and comprehensive water quality identification index. Our analysis showed that the comprehensive water quality identification index was the best method for assessing water quality in the Wen-Rui Tang River due to its ability to effectively characterize highly polluted waters with multiple impairments. Furthermore, a guideline for the applications of these methods was presented based on their characteristics and efficacy. Results indicated that the dominant pollutant impairing water quality was total nitrogen comprised mainly of ammonium. The temporal variation of water quality was closely related to precipitation as a result of dilution. The spatial variation of water quality was associated with anthropogenic influences (urban, industrial, and agriculture activities) and water flow direction (downstream segments experiencing cumulative effects of upstream inputs). These findings provide valuable information and guidance for water pollution control and water resource management in highly polluted surface waters with multiple water quality impairments in areas with rapid industrial growth and urbanization.
Indexed as
Identifiers
26643812What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.