0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Policy & Risk Sign in to save

How much do the conventional parameters contribute to the biological toxicity of surface water in different types of villages?

Environmental Sciences Europe 2021 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ying Shao, Yueting Fan, Yinjie Yang, Min Zhou, Tingting Li, Fang Fang, Chenchen Wang, Yanxue Jiang, Yanxue Jiang, Zhongli Chen, Jinsong Guo

Summary

Researchers investigated surface water quality in different types of Chinese villages and found that conventional physicochemical parameters alone were insufficient to fully characterize biological toxicity, with the contribution of each parameter varying significantly by village type and pollution source.

Abstract Background In rural areas, the surface water quality is seriously threatened by pollution from agriculture, breeding, industrial and tourism activities. Even though many strategies and programs were launched for rural environment management, it is challenging to tackle the serious surface water pollution in villages. Since pollution status varies with the type of villages, there is no single parameter that defines environment quality completely. Until recently, most of rural surface water quality monitoring programs focus only on the conventional parameters, while can these conventional parameters reflect comprehensive status of water quality? To study how much the conventional parameters contribute to biological toxicity of surface water in villages, the in situ parameters of pH, DO, EC, ORP, laboratorial parameters of COD, TN, NO 3 − -N, NO 2 − -N, NH 4 + -N, TP, and PO 4 3− -P and acute toxicity were analyzed for the surface water samples those were collected from six types of villages, named breeding, agricultural, handicraft, industrial, agricultural and breeding, and tourism. The correlation analysis was applied to establish the linkages and contributions of each parameter. Results The results showed that all detected surface waters were alkaline, and the concentration of TN and most of COD concentrations in all six types of villages were higher than the Class V limits specified in environmental quality standards for surface water (GB3838-2002). Pearson’s correlation analysis showed that significantly positive correlations were found for the acute toxicity effects and laboratorial parameters of NO 2 − -N, NH 4 + -N and PO 4 3− -P in agricultural villages, and negative correlations were found for the acute toxicity effects and laboratorial parameters of TN and NO 3 − -N. No significant correlation was observed in breeding villages and industrial villages. Conclusion The problems of nitrogen pollution and aerobic pollution are still serious in villages, and more attention should be paid in further rural environment management. NH 4 + -N could contribute to the acute toxicity of surface water in the most of investigated villages, while no significant correlation was observed between acute toxicity and conventional parameters in industrial villages and tourism villages. Environmental monitoring programs focusing just on the classical conventional parameters are far from sufficient, since the main toxic contributors are quite different in diverse villages. The outcomes of the present study contribute to demonstrate the performance and usefulness of bioanalytical techniques for water quality assessment.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Multi-Endpoint Toxicity Tests and Effect-Targeting Risk Assessment of Surface Water and Pollution Sources in a Typical Rural Area in the Yellow River Basin, China

Researchers conducted multi-endpoint toxicity testing of surface water in a rural Yellow River Basin area in China, detecting significant estrogenic activity and genotoxicity in samples near sewage sources, highlighting the cumulative health risks of mixed contaminant exposure.

Article Tier 2

A new holistic perspective to assess the ecological risk of microplastics: A case study in Baiyangdian Basin, China

Researchers developed a more comprehensive method for assessing the ecological risks of microplastic pollution by considering not just concentration but also the physical and chemical properties of the particles. Applied to a Chinese wetland basin, the approach revealed that traditional methods significantly underestimate the true ecological risk, with human activity and poor water flow contributing to the highest danger zones.

Article Tier 2

Water Quality Evaluation, Spatial Distribution Characteristics, and Source Analysis of Pollutants in Wanquan River, China

This paper is not about microplastics — it assesses water quality in a Chinese river basin, finding that agricultural runoff and domestic sewage are the main pollution sources, without examining plastic contamination.

Article Tier 2

Microplastic pollution in Chinese Rivers: A detailed analysis of distribution, risk factors, and ecological impact

Researchers aggregated data from 2,474 microplastic samples across 165 publications to assess ecological risk in Chinese rivers, finding widespread contamination with average abundance varying substantially by watershed characteristics. A revised risk assessment accounting for particle morphology and polymer toxicity raised concern levels beyond previous estimates.

Article Tier 2

A Comprehensive Method for Water Environment Assessment considering Trends of Water Quality

Researchers developed a comprehensive water quality assessment method that accounts for both current pollution levels and trends over time, applying it to rivers feeding a major Chinese reservoir. Water quality assessment frameworks are increasingly being adapted to include microplastic contamination as a standard monitoring parameter.

Share this paper