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Article

Occurrence, Distribution, and Risk Assessment of Phenolic Endocrine-Disrupting Chemicals in Surface Waters of the World’s Longest Water Diversion Project: The Non-Negligible Impact of Local Wastewater Emissions

Jiangsu Engineering Research Center of Environmental Functional Materials, School of Chemistry and Chemical Engineering, Huaiyin Normal University, Huai’an 223300, China
*
Author to whom correspondence should be addressed.
Toxics 2026, 14(5), 427; https://doi.org/10.3390/toxics14050427
Submission received: 12 April 2026 / Revised: 9 May 2026 / Accepted: 12 May 2026 / Published: 13 May 2026
(This article belongs to the Section Emerging Contaminants)

Abstract

Water contamination by phenolic endocrine-disrupting chemicals (EDCs) is a global environmental concern. Yet, the occurrence of phenolic EDCs in artificial water diversion systems remains poorly understood. Thus, the Eastern Route of the South-to-North Water Diversion Project, the world’s longest water diversion project, was chosen as the study area to investigate the spatiotemporal distribution of alkylphenols (APs) and bisphenol A (BPA), typical phenolic EDCs, and to evaluate their risks. During the diversion operation, higher mean ΣAP concentrations were observed in lakes of Nansi and Dongping relative to the Luoma Lake–Dongping Lake and Yangtze–Luoma Lake diversion channels. The AP composition in the two lakes was also different from that in the two channels. These findings demonstrated that the canal water was not a key source of AP contamination in the lakes, highlighting the importance of local wastewater inputs. The spatial distribution of ΣAP and BPA concentrations in the lakes was mainly affected by the riverine inputs. For ecological risks, 4-n-nonylphenol (4-n-NP) exhibited moderate ecological risks at 81.3% of sampling sites in Dongping Lake and 68.8% of those in Luoma Lake, highlighting the need for heightened attention in future studies. Even under the high exposure scenario, 4-n-NP and BPA would not produce health risks to residents through water intakes. Overall, surface water resources of the Eastern Route Project were confirmed to be safe for human consumption.

Graphical Abstract

1. Introduction

To date, approximately 800 chemicals have been identified or hypothesized to disrupt the endocrine system functions in organisms [1,2,3]. Such substances are known as endocrine-disrupting chemicals (EDCs). As a major class of EDCs, phenolic EDCs have attracted extensive research attention in recent decades, as they exhibit estrogenic activity toward wildlife and humans even at trace exposure concentrations [4,5]. Alkylphenols (APs) and bisphenols are typical phenolic EDCs, which are extensively applied in domestic, agricultural, and industrial applications [6,7]. During the stage of production, use, and disposal, APs and bisphenols can be released into the environment [8,9,10,11,12,13]. Therefore, systematic investigation of the occurrence and spatial–temporal distribution of APs and bisphenols in the environment is of great significance for evaluating their potential environmental and health risks.
The APs are phenol derivatives with one or more chains of carbons of varied length attached to the phenol group [14]. Based on the carbon atom numbers in alkyl chains, the APs can be classified into the short (<8 carbon atoms) and long (C8-C12) chain APs. In general, short-chain APs are considered less environmentally problematic than the long-chain APs, due to their higher biodegradability, lower bioaccumulation potential, and lower estrogenic potency [15]. However, 4-tert-butylphenol (4-t-BP), a short-chain AP, warrants increased attention due to its suspected endocrine-disrupting effects [11,16]. Nonylphenols (NPs), a group of substances with a 9-carbon linear or branched alkyl chain attached to phenol, are among the widely used long-chain APs [13,17]. 4-nonylphenol (4-NP), with the alkyl chain located at the para (4-) position on a phenol, exhibits structural similarity to the endogenous estrogens and thus acts as an endocrine-disrupting chemical [13]. Similarly to the 4-t-BP, 4-NP is used in the polymer industry, functioning both as a comonomer for phenolic resins and as a chain terminator in polycarbonate production. In contrast to 4-t-BP, however, 4-NP exhibits different release pathways and exposure patterns [15]. Therefore, the environmental and human risks of the short- or long-chain APs should be assessed individually.
The bisphenols, a category of compounds comprising two phenolic rings, are mainly used to synthesize polymers and resins for subsequent manufacturing of plastic materials [18]. Bisphenol A (BPA) is one of the most extensively used bisphenols, with a worldwide demand exceeding 6.5 million tons in 2012 [19,20,21]. In 2022, China’s in-use stocks were estimated at approximately 34 million tons [22]. Due to the intensive application, as well as inappropriate disposal of BPA-containing products, BPA is continually discharged into the environment [23]. Meanwhile, a large number of studies have confirmed that BPA exhibited endocrine-mediated effects, such as reproductive toxicity, neurotoxicity, and metabolic diseases [10,24]. To safeguard human health, recently, the tolerable daily intake (TDI) of BPA was decreased to 0.2 ng kg−1 day−1 [25].
APs and BPA are now ubiquitous in aquatic ecosystems worldwide, with their occurrence documented in various rivers and lakes [3,12,26]. The occurrence of APs and BPA in the aquatic environment is closely associated with anthropogenic activities [3,17,27]. Wastewater treatment plant (WWTP) effluents are recognized as a major source of APs and BPA released into aquatic environments [8,28]. The majority of research focusing on the occurrence and distribution of APs and BPA has centered on natural aquatic ecosystems, whereas investigations into APs and BPA residues in artificial aquatic environments remain relatively scarce.
The South-to-North Water Diversion Project is the world’s longest water diversion infrastructure. Comprising three main routes, this project plays a pivotal role in mitigating water scarcity disparities between southern and northern China [29]. The Eastern Route Project was constructed with the purpose of diverting the Yangtze River water to northern China, with a total transfer volume exceeding 1000 million m3 during the 2023–2024 operational period [30]. To manage the distribution and diversion of water resources effectively, a series of sluices and pumping facilities were built on the water diversion channels [31]. Previous studies have demonstrated that the distribution of pollutants such as organophosphate esters, microplastics, and neonicotinoids in the channels and lakes of the Eastern Route Project was influenced by the artificial water regulation [32,33,34]. The priority pollutant screening investigation along the Eastern Route Project has revealed the accumulation of toxic organic chemicals in lakes, which may produce potential adverse effects on water-receiving areas [35]. Currently, the occurrence and residue levels of APs and BPA in the Eastern Route Project remain poorly characterized. Notably, water from the Eastern Route Project serves as a potential drinking water source for northern China. Therefore, the assessment of APs and BPA pollution levels in its surface water bodies is critical to safeguarding the safety of the water supply.
Thus, the present study selected the Eastern Route Project as the research area to systematically explore the occurrence and residual levels of APs and BPA in artificial water diversion systems, and to evaluate their associated ecological and human health risks.

2. Materials and Methods

2.1. Field Sampling

The Yangtze River–Dongping Lake section of the Eastern Route Project, 1045 km in length, is the foundational engineering body for the entire project (Figure 1). This section is divided into two segments: the Yangtze–Luoma Lake (YL) segment and the Luoma Lake–Dongping Lake (LD) segment. Surface water samples (1 L) were collected from 17 sampling sites (YL1–YL17) along the YL water diversion channel in October 2022 and July 2023, and from 16 sites (LD1–LD16) along the LD water diversion channel in July and December 2023. In addition, water samples were taken at 39 sites across the lakes of Dongping (DP), Nansi (NS), Luoma (LM), and Hongze (HZ) in July and December 2023. The precipitation in Xuzhou City, located at the junction of Shandong Province and Jiangsu Province, was reported to be 254.3 mm in July, 8.6 mm in October, and 19.3 mm in December in 2023 [36]. Thus, water samples collected in July were classified as wet-season water samples, while those obtained in October or December were categorized as dry-season ones. Sample collection and storage were performed strictly following China’s National Ecological and Environmental Standards (HJ 1192-2021) [37].

2.2. Sample Pretreatment and Analysis

Water sample pretreatment and analysis were conducted in accordance with the aforementioned standard with minor adjustments. Briefly, water samples were filtered through glass fiber filters (0.7 µm, Whatman International Ltd., Maidstone, England) and aliquoted in duplicate. Filtered samples (0.4 L) were subjected to solid-phase extraction at a flow rate of 3 mL min−1 using Oasis HLB cartridges (200 mg, 6 mL, Waters Corporation, Milford, MA, USA). The cartridges were eluted with 5 mL of methanol and 5 mL of dichloromethane. The combined eluents were concentrated under a gentle nitrogen stream, filtered through a 0.22 µm PTFE membrane filter, and finally reconstituted in acetonitrile for instrumental analysis. The 9 target APs (4-t-butylphenol (4-t-BP), 4-n-butylphenol (4-n-BP), 4-n-pentylphenol, 4-n-hexylphenol, 4-t-octylphenol, 4-n-heptylphenol, 4-nonyl-branched phenol, 4-n-octylphenol, 4-n-nonylphenol (4-n-NP)) and BPA in the water samples were analyzed by using HPLC-MS/MS. Further details on the instrumental parameters (Table S1), quality assurance, and quality control (Table S2) can be found in the Supplementary Materials.

2.3. Risk Assessment

The environmental risks of the target APs and BPA were assessed by the risk quotient (RQ) method [3,34,38], as described below:
R Q = M e a s u r e d   e n v i r o n m e n t a l   c o n c e n t r a t i o n   ( M E C ) P r e d i c t e d   n o - e f f e c t   c o n c e n t r a t i o n   ( P N E C )
The health risks associated with the target APs and BPA were evaluated by calculating chronic daily intake (CDI) (mg kg−1 d−1) [32,39], as described below:
C D I = A P s / B P A ×   I R ×   E F × E D   B W   × A T
It was assumed that the drinking water treatment plants removed approximately 80% of the target APs and BPA from surface water [40,41,42,43,44,45]. Thus, the measured concentrations of the target APs and BPA in this study were multiplied by 0.2 for the CDI calculation. IR is the water intake rate, which was reported to be 2.0 ± 0.1, 1.7 ± 0.2, 1.4 ± 0.1, and 1.3 ± 0.1 L d−1 for men, women, boys, and girls, respectively [46,47]. EF is the exposure frequency (365 days yr−1). ED is the exposure duration, which was suggested to be 9 and 26 years for children and adults, respectively [46,47]. BW is the body weight, which was suggested to be 65 ± 3.1, 56.8 ± 3.5, 43 ± 13.3, and 35 ± 11.4 kg for men, women, boys, and girls, respectively [46,47]. AT is the average time (365 × ED). Considering the variability in body weight and water intake rate, Monte Carlo simulations were introduced in the CDI calculation. The mean values and standard deviations of APs/BPA, IR, and BW, which were assumed to be distributed log-normally, log-normally, and normally, respectively, were utilized to generate 10,000 random data points to calculate the CDI probability distribution. The simulated 90th percentile values were defined as a high-exposure scenario [32].

2.4. Statistical Analysis

The statistical analysis of the significant difference was performed by the Tukey–Kramer honest significant difference test at α = 0.05 level, using JMP statistical software packages (JMP 12.0, SAS Institute Inc., Cary, NC, USA) in this study. Monte Carlo simulations were introduced in the CDI estimation by using the Oracle Crystal Ball (version 11.1, Oracle Corporation, Redwood Shores, CA, USA). OriginPro software (version 9.8, OriginLab Corporation, Northampton, MA, USA) was used for the simulation data visualization. Other software such as Microsoft Excel (version 16.0, Microsoft Corporation, Redmond, WA, USA) and SPSS (version 27.0, IBM Corporation, Armonk, NY, USA) were used for data analysis in this study.

3. Results and Discussion

3.1. Concentrations and Composition of APs in the Eastern Route Project

Nine target APs were analyzed in this study, and only 4-n-BP, 4-n-NP, and 4-t-BP were detected. The detection frequencies of these three APs ranged from 41.2% to 100% in the two water diversion channels, and were 100% in the four lakes (Table S3). This indicated that these three APs were ubiquitous in the lake waters. It has been reported that APs can be transferred into lakes by riverine inputs and atmospheric deposition [14,17,28]. The average ΣAP concentrations in the DP Lake, NS Lake, LM Lake, HZ Lake, LD channel, and YL channel were 233.8, 217.3, 133.1, 117.2, 199.3, and 216.8 ng L−1 in the wet season and 155.7, 171.1, 129.2, 109.0, 116.6, and 69.7 ng L−1 in the dry season, respectively (Table S3), which were lower than that in the Taihu Lake (486.8 ng L−1) [38]. During the diversion operation (dry season), significantly higher mean ΣAP concentrations were observed in lakes of NS and DP relative to the YL channel (p < 0.05) (Figure S1).
The concentrations in the DP Lake, NS Lake, LM Lake, HZ Lake, LD channel, and YL channel were 7.5–46.6, 2.1–55.3, 6.2–41.8, 12.2–50.6, 7.6–51.5, and 3.8–36.3 ng L−1 for 4-n-BP, 7.9–175.2, 11.1–217.6, 10.1–92.2, 3.1–139.2, 1.9–173.3, and 3.5–145.0 ng L−1 for 4-n-NP, and 7.2–181.8, 34.2–228.7, 23.6–96.0, 16.2–147.6, 13.4–280.4, 3.0–195.3 ng L−1 for 4-t-BP, respectively (Figure 2a; Table S3). The mean 4-n-BP and 4-n-NP concentrations in the channel and lake waters did not exhibit seasonal differences, whereas the average 4-t-BP concentrations demonstrated significant seasonal variations in most locations, excluding HZ Lake (p < 0.05) (Figure 2a). The relatively high average concentration of 4-t-BP in the wet season may be related to the high atmospheric deposition and increased surface runoff in the rainy season [11,48]. HZ Lake is the largest regulating reservoir on the Eastern Route Project. The water level changes in the HZ Lake were heavily impacted by human activities, which may have an impact on the distribution of pollutants [32,49].
The average proportions of 4-t-BP in surface waters of the DP Lake, NS Lake, LM Lake, HZ Lake, LD channel, and YL channel were 63.9%, 67.4%, 57.8%, 41.9%, 73.0%, and 66.5% in the wet season, and 33.2%, 51.3%, 35.9%, 40.0%, 41.6%, and 46.1% in the dry season, separately (Figure 2b). The average 4-n-NP proportions in the above locations were 29.1%, 25.4%, 33.0%, 35.3%, 18.1%, and 23.2% in the wet season, and 51.7%, 34.0%, 46.7%, 40.8%, 38.8%, and 44.2% in the dry season, separately (Figure 2b). In DP Lake, the average 4-t-BP proportion decreased by 30.7% from the wet to the dry season, whereas that of 4-n-NP increased by 22.6%, showing the highest seasonal variation among the four lakes studied. As the final level regulating reservoir in the Eastern Route Project, DP Lake received water from Jiangsu Province mainly by the LD and YL channels during the dry season [30]. However, the average concentration and proportion of 4-n-NP in the DP Lake were higher than those in the two channels (Figure 2b). These findings demonstrated that the canal water was not a significant source of 4-n-NP in DP Lake, and the local wastewater emissions cannot be ignored. Numerous prior studies have reported that local WWTP effluents represent the primary source of 4-n-NP in the aquatic environment [11,13,28].

3.2. Concentration of BPA in the Eastern Route Project

The BPA detection frequencies in the Eastern Route Project ranged from 53.3% to 100% in the wet season, and were 100% in the dry season (Table S3). This indicated that BPA was ubiquitous in the dry season. BPA may enter the aquatic environment via the production of BPA and BPA-containing products, effluent discharges from WWTPs, landfill leachates, and the leaching of BPA-based materials after disposal [23]. The average BPA concentrations in the DP Lake, NS Lake, LM Lake, HZ Lake, LD channel, and YL channel were 14.9, 15.6, 17.6, 8.9, 13.8, and 20.9 ng L−1 in the wet season, and 56.0, 63.5, 52.2, 61.9, 60.9, and 36.0 ng L−1 in the dry season, respectively (Table S3; Figure 3). These levels were comparable with those (ng L−1) in the Taihu Lake (26.0) [50], Qinhuai River Basin (63.1) [51], and Beiyun River Basin (92.1) [21]. Notably, average BPA concentrations in the aforementioned channels and lakes were lower in the wet season (Figure 3), likely due to the dilution effect of rainfall [48,51]. BPA exhibits negligible volatility and is relatively short-lived in the atmosphere, resulting in a very low concentration in rainfall [10]. At the city scale, a statistically significant positive correlation was identified between mean BPA concentrations in the four lakes and gross domestic product (p < 0.05) (Figure S2), implying the impact of socioeconomic activities on BPA contamination in lake waters. With the economic development, the total BPA emissions in the Chinese mainland were reported to be 0.23 Mt in 2022, and approximately 34% of these emissions were released into water bodies [22].

3.3. Spatial Distribution of the Detected APs and BPA in the Water

In the LD channel during the wet season, the lowest ΣAP concentration was observed at LD9, which was located beside the Weishan sluice (Figure 4a). During the dry season, the AP composition percentage in LD9 was obviously different from that in LD8 (Figure 4b). The sluice operation may hinder the channel water flow, inhibiting the spread of pollution [31]. Thus, the spatial distribution of AP concentrations and compositions in the LD channel may be influenced by the sluice operation. In the YL channel, the lowest ΣAP concentration in the two seasons was observed at YL17, which was located beside the Yangtze River (Figure 4a). During the wet season, the YL channel water would be released into the Yangtze River. The mean annual runoff was reported to be 68.4 m3 s−1 in the Suqian station of the YL channel [52]. Thus, the YL channel water may be a noteworthy source for APs in the Yangtze River. For lakes during the two seasons, relatively high ΣAP concentrations were observed at D7 and D8 in DP Lake, N1 and N6 in NS Lake, L5 and L6 in LM Lake, and H14 and H15 in HZ Lake, respectively (Figure 5). These sampling sites were located beside the river estuaries. This implied that the spatial variation in AP concentrations within lakes was influenced by the riverine inputs.
In the two seasons, relatively high BPA concentrations in the LD channel were observed at sites of LD3 to LD7 (Figure 6a), which were located beside the Liangshan WWTPs. Thus, the relatively high BPA concentrations in these sites may be related to the WWTP discharges. According to the Shandong Statistical Yearbook in 2023, the total WWTP effluents in Jining City were reported to be 280.6 million m3 [53]. The highest BPA concentration in the YL channel in the two seasons was observed at YL1, which may be influenced by discharges from the Pihong River. In the lakes, the lowest BPA concentrations were found at D3 in DP Lake (Figure 6b), N8 in NS Lake (Figure 6c), L2 in LM Lake (Figure 6d), and H2 in HZ Lake (Figure 6e), respectively. These sampling sites, distant from the inflow river estuaries, were subject to limited influence from the fluvial inputs.

3.4. Environmental Risk Assessment

The maximum RQs for 4-t-BP and BPA were below 0.1 in water samples from the two channels and four lakes (Figure 7). This demonstrated that 4-t-BP and BPA posed a low ecological risk [3,51]. The RQs for 4-n-NP were between 0.1 and 1 in 81.3%, 37.5%, 68.8%, 50.0%, 43.8%, and 38.2% of the sampling sites in the DP Lake, NS Lake, LM Lake, HZ Lake, LD channel, and YL channel, respectively, demonstrating that 4-n-NP posed a moderate ecological risk in the studied water bodies. Overall, 4-n-NP in the surface waters of DP Lake and LM Lake needs more attention in future studies. During the risk assessment, the PNEC values for 4-t-BP (6.4 µg L−1), 4-n-NP (0.33 µg L−1), and BPA (1.5 µg L−1) from the European Union were used in this study [15]. These PNEC values were lower than those in China, Japan, and the USA [4,54]. If the PNEC value from China were adopted during the risk assessment, 4-t-BP and BPA would also pose a low risk. At present, the PNEC value for 4-t-BP in China has not been reported. Therefore, the derivation and validation of PNEC values for 4-t-BP in China warrant prioritized research attention.

3.5. Health Risk Assessment

Surface water from the Eastern Route Project serves as a critical drinking water source for North China. Nevertheless, drinking water treatment plants are unable to achieve complete removal of APs and BPA from such surface water, with removal efficiencies ranging from 60% to 90% [40,41,42,43,44,45]. Therefore, the health risks of the detected APs and BPA by water consumption were evaluated by calculating the CDI. The CDI calculations rely on fixed parameter values. In this study, Monte Carlo simulations were adopted in the CDI calculation by integrating probabilistic distributions of input parameters, enabling a more realistic characterization of exposure risks [32]. The results indicated that the high-exposure scenario CDIs (mg kg−1 day−1) for the man, woman, boy and girl were 9.6 × 10−13, 9.6 × 10−13, 1.2 × 10−12, and 1.2 × 10−12 for 4-t-BP (Figure 8a), 2.1 × 10−13, 2.0 × 10−13, 2.7 × 10−13, and 2.7 × 10−13 for 4-n-BP (Figure 8b), 6.1 × 10−13, 5.9 × 10−13, 7.4 × 10−13, and 7.5 × 10−13 for 4-n-NP (Figure 8c), and 4.3 × 10−13, 4.2 × 10−13, 5.3 × 10−13, and 5.2 × 10−13 for BPA (Figure 8d), respectively. The TDI values for 4-n-NP and BPA in humans were reported to be 5.0 × 10−3 and 2.0 × 10−7 mg kg−1 day−1 [15,25]. This suggested that 4-n-NP and BPA in the Eastern Route Project would not produce health risks to residents through water intakes. To date, the TDI values for 4-t-BP and 4-n-BP have not been reported [15], so their health risks cannot be defined. This critical knowledge gap further hinders the formulation of regulatory limits for these two APs in drinking water systems. Therefore, it is necessary for further toxicological studies to determine their TDI values and clarify the corresponding health implications.

4. Conclusions

This study focused on investigating the residues of typical APs and BPA in the Eastern Route Project. The findings provide valuable data for understanding the distribution of phenolic EDCs in artificial aquatic environments. The average concentrations of 4-t-BP, 4-n-NP, 4-n-BP, and BPA were 103.0, 45.5, 19.6, and 33.3 ng L−1 in the channels, and 75.1, 54.0, 21.0, and 40.5 ng L−1 in the lakes, respectively. These levels can serve as a baseline for evaluating the impacts of anthropogenic activities on their levels in the Eastern Route Project. In future studies, more attention should also be focused on the distribution of phenolic EDCs in sediments. The distinct seasonal variations between 4-t-BP and BPA may be attributed to their different input sources. The spatial distribution in concentrations of APs and BPA in the lakes was mainly affected by the riverine inputs. 4-n-NP in DP Lake and LM Lake merits greater focus in subsequent studies. Finally, surface water resources of the Eastern Route Project were confirmed to be safe for human consumption. In future, it is necessary to derive the TDI values for 4-t-BP and 4-n-BP. This will provide a reliable toxicological basis for their health risk assessment.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics14050427/s1, Figure S1: The total alkylphenol concentration in surface waters of the Eastern Route of the South-to North Water Diversion Project during the dry season. The difference in AP concentrations between the seasons was significant or not at the 0.05 level for sharing different letters or the same letter, respectively; Figure S2: The variations in the average BPA concentrations in four lakes as a function of gross domestic product at city scales; Table S1: Optimized LC-MS/MS parameters for the 9 APs and BPA; Table S2: Recoveries (%) of the 9 APs and BPA in the water, their instrumental limits of detections (LOD) and quantifications (LOQ), and their method limits of detections (MOD) and quantifications (MOQ); Table S3: Concentration ranges (ng L−1) and detection frequencies (%) of the target APs and BPA in surface waters of the ER-SNWDP.

Author Contributions

Funding acquisition, Y.C. and X.Z.; Writing—Original Draft, Y.C.; Writing—Editing, X.Z.; Resources, Y.Y.; Supervision, Y.Y.; Investigation, Q.L.; Software, Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Jiangsu Provincial Natural Science Foundation (BK20230726), the National Natural Science Foundation of China (52209089), and the Huai’an Natural Science Foundation (HAB202354).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Acknowledgments

Thanks to all the people who have helped to write and revise this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hong, Y.; Feng, C.; Yan, Z.; Wang, Y.; Liu, D.; Liao, W.; Bai, Y. Nonylphenol occurrence, distribution, toxicity and analytical methods in freshwater. Environ. Chem. Lett. 2020, 18, 2095–2106. [Google Scholar] [CrossRef]
  2. Swansborough, C.; Soto, J.; Shapland, I.; Hughes, C.B.; Jennings, E.; McArdle, M.; Mihaich, E.; Majoris, E.; Bunge, M. Trend analysis of environmental concentrations of Bisphenol A in European waters and sediments. Environ. Res. 2025, 282, 121946. [Google Scholar] [CrossRef]
  3. Xiao, Y.; Han, D.; Currell, M.; Song, X.; Zhang, Y. Review of Endocrine Disrupting Compounds (EDCs) in China’s water environments: Implications for environmental fate, transport and health risks. Water Res. 2023, 245, 120645. [Google Scholar] [CrossRef]
  4. Hong, Y.; Li, H.; Feng, C.; Liu, D.; Yan, Z.; Qiao, Y.; Bai, Y.; Wu, F. A review on the water quality criteria of nonylphenol and the methodological construction for reproduction toxicity endocrine disrupting chemicals. Rev. Environ. Contam. Toxicol. 2022, 260, 5. [Google Scholar] [CrossRef]
  5. Ji, L.; Ji, S.; Wang, C.; Kepp, K.P. Molecular mechanism of alternative P450-catalyzed metabolism of environmental phenolic endocrine-disrupting chemicals. Environ. Sci. Technol. 2018, 52, 4422–4431. [Google Scholar] [CrossRef]
  6. Khetan, S.K. Endocrine Disruptors in the Environment; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2014. [Google Scholar] [CrossRef]
  7. Wang, X.; Xiang, W.; Wang, S.; Ge, J.; Qu, R.; Wang, Z. Oxidative oligomerization of phenolic endocrine disrupting chemicals mediated by Mn (III)-L complexes and the role of phenoxyl radicals in the enhanced removal: Experimental and theoretical studies. Environ. Sci. Technol. 2019, 54, 1573–1582. [Google Scholar] [CrossRef] [PubMed]
  8. Chen, H.; Zheng, Y. A comprehensive review on the sources, environmental behavior, and degradation of alkylphenol ethoxylates and their metabolites in surface water and soils. J. Environ. Qual. 2025, 54, 1631–1652. [Google Scholar] [CrossRef]
  9. ECB (European Chemicals Bureau). European Union Risk Assessment Report for 4-Nonylphenol (Branched) and Nonylphenol. European Chemicals Bureau, Joint Research Centre, European Commission, Italy. 2002. Available online: https://echa.europa.eu/documents/10162/43080e23-3646-4ddf-836b-a248bd4225c6 (accessed on 12 April 2026).
  10. ECB (European Chemicals Bureau). European Union Risk Assessment Report for 4,4′-Isopropylidenediphenol (Bisphenol-A). European Chemicals Bureau, Joint Research Centre, European Commission, Italy. 2003. Available online: https://echa.europa.eu/documents/10162/c6a8dcfc-1823-4d31-8a24-2c1168f0d217 (accessed on 12 April 2026).
  11. ECB (European Chemicals Bureau). European Union Risk Assessment Report for P-Tert-Butylphenol. European Chemicals Bureau, Joint Research Centre, European Commission, Italy. 2008. Available online: https://euon.echa.europa.eu/documents/10162/605c05d5-0ef9-46cf-b5a2-bb8a51ac26e5 (accessed on 12 April 2026).
  12. Pohl, A.; Bodzek, M. Alkylphenols and bisphenol A in the aquatic environment and their leaching from plastic products—A review. Desalin. Water Treat. 2023, 315, 446–457. [Google Scholar] [CrossRef]
  13. Yang, L.; Luan, T.; Li, Y.; Lin, L. Understanding nonylphenol’s aquatic fate: An integrated review of partitioning, natural attenuation, and contribution mechanism. Environ. Pollut. 2025, 384, 126907. [Google Scholar] [CrossRef] [PubMed]
  14. Bhandari, G.; Bagheri, A.R.; Bhatt, P.; Bilal, M. Occurrence, potential ecological risks, and degradation of endocrine disrupter, nonylphenol, from the aqueous environment. Chemosphere 2021, 275, 130013. [Google Scholar] [CrossRef] [PubMed]
  15. Lassen, C.; Jensen, A.; Maag, J.; Christensen, F.; Kjølholt, J.; Jeppesen, C.N.; Mikkelsen, S.H.; Innanen, S. Survey of Alkylphenols and Alkylphenol Ethoxylates; Danish EPA: Odense, Denmark, 2012; Available online: https://www2.mst.dk/udgiv/publications/2013/04/978-87-92903-99-0.pdf (accessed on 12 April 2026).
  16. Wang, H.; Liu, J.; Qiang, S.; Che, Y.; Hu, T. 4-tert-Butylphenol impairs the liver by inducing excess liver lipid accumulation via disrupting the lipid metabolism pathway in zebrafish. Environ. Pollut. 2024, 356, 124385. [Google Scholar] [CrossRef]
  17. Soares, A.; Guieysse, B.; Jefferson, B.; Cartmell, E.; Lester, J. Nonylphenol in the environment: A critical review on occurrence, fate, toxicity and treatment in wastewaters. Environ. Int. 2008, 34, 1033–1049. [Google Scholar] [CrossRef] [PubMed]
  18. Wang, S.; Peng, C.; Sheng, N.; Lian, L.; Dai, J.; Guan, X. Occurrence, ecological risk and estrogenic effect of 19 bisphenol analogues in the surface water used for drinking water in Shanghai, China. Water Res. 2025, 279, 123408. [Google Scholar] [CrossRef]
  19. Chen, D.; Kannan, K.; Tan, H.; Zheng, Z.; Feng, Y.-L.; Wu, Y.; Widelka, M. Bisphenol analogues other than BPA: Environmental occurrence, human exposure, and toxicity—A review. Environ. Sci. Technol. 2016, 50, 5438–5453. [Google Scholar] [CrossRef]
  20. Im, J.; Löffler, F.E. Fate of bisphenol A in terrestrial and aquatic environments. Environ. Sci. Technol. 2016, 50, 8403–8416. [Google Scholar] [CrossRef]
  21. Yang, N.; Zhang, Y.; Yang, N.; Men, C.; Zuo, J. Distribution characteristics and relationship of microplastics, phthalate esters, and bisphenol A in the Beiyun River basin of Beijing. J. Hazard. Mater. 2024, 480, 136190. [Google Scholar] [CrossRef] [PubMed]
  22. Wang, J.; Chan, F.K.S.; Johnson, M.F.; Chan, H.K.; Cui, Y.; Chen, J.; Chen, W.-Q. Material cycles, environmental emissions, and ecological risks of bisphenol A (BPA) in China and implications for sustainable plastic management. Environ. Sci. Technol. 2025, 59, 1631–1646. [Google Scholar] [CrossRef]
  23. Corrales, J.; Kristofco, L.A.; Steele, W.B.; Yates, B.S.; Breed, C.S.; Williams, E.S.; Brooks, B.W. Global assessment of bisphenol A in the environment: Review and analysis of its occurrence and bioaccumulation. Dose-Response 2015, 13, 1–29. [Google Scholar] [CrossRef] [PubMed]
  24. Moreman, J.; Lee, O.; Trznadel, M.; David, A.; Kudoh, T.; Tyler, C.R. Acute toxicity, teratogenic, and estrogenic effects of bisphenol A and its alternative replacements bisphenol S, bisphenol F, and bisphenol AF in zebrafish embryo-larvae. Environ. Sci. Technol. 2017, 51, 12796–12805. [Google Scholar] [CrossRef]
  25. EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP); Lambré, Y.; Baviera, J.M.B.; Bolognesi, C.; Chesson, A.; Cocconcelli, P.S.; Crebelli, R.; Gott, D.M.; Grob, K.; Lampi, E.; et al. Re-evaluation of the risks to public health related to the presence of bisphenol A (BPA) in foodstuffs. EFSA J. 2023, 21, 6857. [Google Scholar] [CrossRef]
  26. Zhao, Y.; Ji, J.; Wu, Y.; Chen, S.; Xu, M.; Cao, X.; Liu, H.; Wang, Z.; Bi, H.; Guan, G.; et al. Nonylphenol and its derivatives: Environmental distribution, treatment strategy, management and future perspectives. Chemosphere 2024, 352, 141377. [Google Scholar] [CrossRef]
  27. Hu, Y.; Zhu, Q.; Yan, X.; Liao, C.; Jiang, G. Occurrence, fate and risk assessment of BPA and its substituents in wastewater treatment plant: A review. Environ. Res. 2019, 178, 108732. [Google Scholar] [CrossRef] [PubMed]
  28. Ying, G.-G.; Williams, B.; Kookana, R. Environmental fate of alkylphenols and alkylphenol ethoxylates—A review. Environ. Int. 2002, 28, 215–226. [Google Scholar] [CrossRef] [PubMed]
  29. Cai, J.; Peng, J. Introduction of the Beijing–Hangzhou grand canal and analysis of its heritage values. J. Hydro-Environ. Res. 2019, 26, 2–7. [Google Scholar] [CrossRef]
  30. MWR (Ministry of Water Resources of China). China South-to-North Water Diversion Project Construction Yearbook; MWR: Wuhan, China, 2024. [Google Scholar]
  31. Yan, H.; Lin, Y.; Chen, Q.; Zhang, J.; He, S.; Feng, T.; Wang, Z.; Chen, C.; Ding, J. A review of the eco-environmental impacts of the South-to-North Water Diversion: Implications for Interbasin Water Transfers. Engineering 2023, 30, 161–169. [Google Scholar] [CrossRef]
  32. Cao, Y.; Zhang, X.; Yan, Y.; Li, Q.; Shen, J. Spatiotemporal variations and risk assessment of organophosphate esters in surface waters of the Eastern Route of the South-to-North Water Diversion Project, China: A comprehensive survey for human health. Environ. Technol. Innov. 2025, 40, 104571. [Google Scholar] [CrossRef]
  33. Huang, S.; Peng, C.; Wang, Z.; Xiong, X.; Bi, Y.; Liu, Y.; Li, D. Spatiotemporal distribution of microplastics in surface water, biofilms, and sediments in the world’s largest drinking water diversion project. Sci. Total Environ. 2021, 789, 148001. [Google Scholar] [CrossRef]
  34. Zhang, X.; Cao, Y.; Zhang, Z.; Li, Q.; Yan, Y. Residues of neonicotinoid insecticides in artificial waterways of the Eastern Route of the South-to North water diversion project, China: Implications for environmental risks and human health. Environ. Pollut. 2024, 363, 125132. [Google Scholar] [CrossRef]
  35. Zhao, Z.; Gong, X.; Ding, Q.; Jin, M.; Wang, Z.; Lu, S.; Zhang, L. Environmental implications from the priority pollutants screening in impoundment reservoir along the eastern route of China’s South-to-North Water Diversion Project. Sci. Total Environ. 2021, 794, 148700. [Google Scholar] [CrossRef]
  36. JPBS. Jiangsu Statistical Yearbook in 2022; Jiangsu Provincial Bureau of Statistics: Nanjing, China, 2023. [Google Scholar]
  37. HJ 1192-2021; Determination of 9 Alkylphenols and Bisphenol A—Solid Phase Extraction/High Performance Liquid Chromatography. China’s National Ecological and Environmental Standards: Beijing, China, 2021.
  38. Liu, D.; Liu, J.; Guo, M.; Xu, H.; Zhang, S.; Shi, L.; Yao, C. Occurrence, distribution, and risk assessment of alkylphenols, bisphenol A, and tetrabromobisphenol A in surface water, suspended particulate matter, and sediment in Taihu Lake and its tributaries. Mar. Pollut. Bull. 2016, 112, 142–150. [Google Scholar] [CrossRef]
  39. Vesković, J.; Onjia, A. Exposure and Toxicity Factors in Health Risk Assessment of Heavy Metal(loid)s in Water. Water 2025, 17, 2901. [Google Scholar] [CrossRef]
  40. Arnold, S.M.; Clark, K.E.; Staples, C.A.; Klecka, G.M.; Dimond, S.S.; Caspers, N.; Hentges, S.G. Relevance of drinking water as a source of human exposure to bisphenol A. J. Expo. Sci. Environ. Epidemiol. 2013, 23, 137–144. [Google Scholar] [CrossRef]
  41. Benotti, M.J.; Trenholm, R.A.; Vanderford, B.J.; Holady, J.C.; Stanford, B.D.; Snyder, S.A. Pharmaceuticals and endocrine disrupting compounds in U.S. drinking water. Environ. Sci. Technol. 2009, 43, 597–603. [Google Scholar] [CrossRef] [PubMed]
  42. Chen, H.; Liang, C.; Wu, Z.; Chang, E.; Lin, T.; Chiang, P.; Wang, G. Occurrence and assessment of treatment efficiency of nonylphenol, octylphenol and bisphenol-A in drinking water in Taiwan. Sci. Total Environ. 2013, 449, 20–28. [Google Scholar] [CrossRef] [PubMed]
  43. Fan, Z.; Hu, J.; An, W.; Yang, M. Detection and occurrence of chlorinated byproducts of bisphenol A, nonylphenol, and estrogens in drinking water of China: Comparison to the parent compounds. Environ. Sci. Technol. 2013, 47, 10841–10850. [Google Scholar] [CrossRef] [PubMed]
  44. Kleywegt, S.; Pileggi, V.; Yang, P.; Hao, C.; Zhao, X.; Rocks, C.; Thach, S.; Cheung, P.; Whitehead, B. Pharmaceuticals, hormones and bisphenol A in untreated source and finished drinking water in Ontario, Canada—Occurrence and treatment efficiency. Sci. Total Environ. 2011, 409, 1481–1488. [Google Scholar] [CrossRef]
  45. Padhye, L.P.; Yao, H.; Kung’u, F.T.; Huang, C.-H. Year-long evaluation on the occurrence and fate of pharmaceuticals, personal care products, and endocrine disrupting chemicals in an urban drinking water treatment plant. Water Res. 2014, 51, 266–276. [Google Scholar] [CrossRef]
  46. Duan, X. Highlights of the Chinese Exposure Factors Handbook (Children); China Environment Press: Wuhan, China, 2014; (In Chinese with English abstract). [Google Scholar]
  47. Duan, X. Highlights of the Chinese Exposure Factors Handbook (Adults); China Environment Press: Wuhan, China, 2016; (In Chinese with English abstract). [Google Scholar]
  48. Liu, R.; Luo, X.; Shu, S.; Ding, J.; Zhang, G.; Wang, Z.; Zou, H.; Zhang, Y. Impact of rainfall on the occurrence, spatiotemporal distribution, and partition trend of micropollutants in Taihu Lake, China: Bisphenol A and 4-nonylphenol as examples. Ecotoxicol. Environ. Saf. 2020, 204, 111064. [Google Scholar] [CrossRef]
  49. Wei, Q.; Xue, L.; Liao, S.; Yang, J.; Niu, B. Analysis of Driving Forces on Ecohydrological Regime and Environmental Flow Changes in Hongze Lake, China. Ecol. Inform. 2024, 79, 102423. [Google Scholar] [CrossRef]
  50. Liu, Y.; Zhang, S.; Song, N.; Guo, R.; Chen, M.; Mai, D.; Yan, Z.; Han, Z.; Chen, J. Occurrence, distribution and sources of bisphenol analogues in a shallow Chinese freshwater lake (Taihu Lake): Implications for ecological and human health risk. Sci. Total Environ. 2017, 599, 1090–1098. [Google Scholar] [CrossRef]
  51. Zhang, S.; Fan, Y.; Qian, X.; Wu, Z.; Feng, S.; Xu, W.; Wang, G. Spatiotemporal distribution, source apportionment, and ecological risk of bisphenol analogues in a highly urbanized river basin. Sci. Total Environ. 2024, 920, 170964. [Google Scholar] [CrossRef]
  52. BWRJP (Bureau of Water Resource of Jiangsu Province). Jiangsu Shuiwen; China Water Power Press: Beijing, China, 2021. [Google Scholar]
  53. Shandong Provincial Bureau of Statistics. Shandong Statistical Yearbook in 2023; Shandong Provincial Bureau of Statistics: Jinan, China, 2023. [Google Scholar]
  54. Feng, C.; Wang, H.; Wang, Y.; Wu, F. Predicted No Effect Concentration of Bisphenol A (BPA) Based on Different Toxicological Endpoints. Asian J. Ecotoxicol. 2015, 10, 119–129. [Google Scholar]
Figure 1. Location of the study area and sampling sites in surface waters of the Eastern Route of the South-to North Water Diversion Project, China. (a) Water diversion channels; (b) Dongping Lake; (c) Nansi Lake; (d) Luoma Lake; (e) Hongze Lake.
Figure 1. Location of the study area and sampling sites in surface waters of the Eastern Route of the South-to North Water Diversion Project, China. (a) Water diversion channels; (b) Dongping Lake; (c) Nansi Lake; (d) Luoma Lake; (e) Hongze Lake.
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Figure 2. Concentrations(a) and composition (b) of the targeted alkylphenols (APs) in surface waters of the Eastern Route of the South-to North Water Diversion Project. The difference in AP concentrations between the seasons was significant or not at the 0.05 level for sharing different letters (A, B) or the same letter (A), respectively.
Figure 2. Concentrations(a) and composition (b) of the targeted alkylphenols (APs) in surface waters of the Eastern Route of the South-to North Water Diversion Project. The difference in AP concentrations between the seasons was significant or not at the 0.05 level for sharing different letters (A, B) or the same letter (A), respectively.
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Figure 3. Concentrations of BPA in surface waters of the Eastern Route of the South-to North Water Diversion Project. The difference in BPA concentrations between the seasons was significant or not at the 0.05 level for sharing different letters (A, B) or the same letter (A), respectively.
Figure 3. Concentrations of BPA in surface waters of the Eastern Route of the South-to North Water Diversion Project. The difference in BPA concentrations between the seasons was significant or not at the 0.05 level for sharing different letters (A, B) or the same letter (A), respectively.
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Figure 4. Spatial distribution of the targeted alkylphenol concentrations (ng L−1) in the water diversion channels of the Eastern Route of the South-to North Water Diversion Project.
Figure 4. Spatial distribution of the targeted alkylphenol concentrations (ng L−1) in the water diversion channels of the Eastern Route of the South-to North Water Diversion Project.
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Figure 5. Spatialdistribution of the targeted alkylphenol concentrations (ng L−1) in the lakes (Dongping Lake (a,b), Nansi Lake (c,d), Luoma Lake (e,f), and Hongze Lake (g,h)) of the Eastern Route of the South-to North Water Diversion Project.
Figure 5. Spatialdistribution of the targeted alkylphenol concentrations (ng L−1) in the lakes (Dongping Lake (a,b), Nansi Lake (c,d), Luoma Lake (e,f), and Hongze Lake (g,h)) of the Eastern Route of the South-to North Water Diversion Project.
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Figure 6. Spatial distribution of BPA concentrations (ng L−1) in surface waters of the Eastern Route of the South-to North Water Diversion Project in the dry and wet seasons. (a) Water diversion channels; (b) Dongping Lake; (c) Nansi Lake; (d) Luoma Lake; (e) Hongze Lake.
Figure 6. Spatial distribution of BPA concentrations (ng L−1) in surface waters of the Eastern Route of the South-to North Water Diversion Project in the dry and wet seasons. (a) Water diversion channels; (b) Dongping Lake; (c) Nansi Lake; (d) Luoma Lake; (e) Hongze Lake.
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Figure 7. Ecologicalrisks of 4-t-BP (a), 4-n-NP (b), and BPA (c) in surface waters of the Eastern Route of the South-to North Water Diversion Project.
Figure 7. Ecologicalrisks of 4-t-BP (a), 4-n-NP (b), and BPA (c) in surface waters of the Eastern Route of the South-to North Water Diversion Project.
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Figure 8. The cumulative probability of estimated chronic daily intake of 4-t-BP (a), 4-n-BP (b), 4-n-NP (c), and BPA (d) from water consumption for adults and children. The vertical dashed lines represent the high-exposure scenario CDIs for children and adults.
Figure 8. The cumulative probability of estimated chronic daily intake of 4-t-BP (a), 4-n-BP (b), 4-n-NP (c), and BPA (d) from water consumption for adults and children. The vertical dashed lines represent the high-exposure scenario CDIs for children and adults.
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Cao, Y.; Zhang, X.; Yan, Y.; Li, Q. Occurrence, Distribution, and Risk Assessment of Phenolic Endocrine-Disrupting Chemicals in Surface Waters of the World’s Longest Water Diversion Project: The Non-Negligible Impact of Local Wastewater Emissions. Toxics 2026, 14, 427. https://doi.org/10.3390/toxics14050427

AMA Style

Cao Y, Zhang X, Yan Y, Li Q. Occurrence, Distribution, and Risk Assessment of Phenolic Endocrine-Disrupting Chemicals in Surface Waters of the World’s Longest Water Diversion Project: The Non-Negligible Impact of Local Wastewater Emissions. Toxics. 2026; 14(5):427. https://doi.org/10.3390/toxics14050427

Chicago/Turabian Style

Cao, Yuanxin, Xiaoxin Zhang, Yubo Yan, and Qiao Li. 2026. "Occurrence, Distribution, and Risk Assessment of Phenolic Endocrine-Disrupting Chemicals in Surface Waters of the World’s Longest Water Diversion Project: The Non-Negligible Impact of Local Wastewater Emissions" Toxics 14, no. 5: 427. https://doi.org/10.3390/toxics14050427

APA Style

Cao, Y., Zhang, X., Yan, Y., & Li, Q. (2026). Occurrence, Distribution, and Risk Assessment of Phenolic Endocrine-Disrupting Chemicals in Surface Waters of the World’s Longest Water Diversion Project: The Non-Negligible Impact of Local Wastewater Emissions. Toxics, 14(5), 427. https://doi.org/10.3390/toxics14050427

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