Water quality assessment is an important method for understanding the spatial-temporal variation characteristics of water quality. Therefore, the present study has been performed to evaluate the water quality for a typical plain river network area in Changzhou City, Jiangsu, China, where the river system is characterized by reciprocal flow and diverse pollution sources. The water quality samples from 2017 to 2021 were comprehensively assessed using comprehensive methods that combine the single-factor pollution index (SFPI) method with multivariate statistical analysis. Initially, statistical analyses were conducted to evaluate water quality exceedances and correlations and the SFPI method was applied to classify water quality categories. Furthermore, principal component analysis (PCA) and cluster analysis (CA) were employed to reduce the dimensionality of water quality indicators and group monitoring sections with similar characteristics. The results indicate that the overall water quality in Changzhou City is lightly polluted with a trend of improvement. The primary pollutants identified are total phosphorus (TP) and ammonia nitrogen (NH₃-N). This study highlights that organic pollution, self-purification capacity, and eutrophication of river water bodies are the most significant factors affecting water quality. The sampling sites were classified into three groups (good, moderate, and poor). The water quality assessment results of this study provide a theoretical reference for water environment management and ecological protection in plain river network areas.

A comprehensive understanding of water-quality spatiotemporal variations is essential for the long-term management of aquatic environments. However, the absence of indicators that fully capture the extent of eutrophication, the lack of long-term water-quality monitoring data, and the complexity of water pollutants sources have limited research on pollution characteristics and eutrophication assessments in plain river network areas. In this study, based on the monitoring data of water-quality indicators in the Beijing–Hangzhou Grand Canal (Changzhou section), the temporal and spatial distribution characteristics of nutrient salts, as well as the eutrophication status of the water body, were revealed by using the comprehensive trophic level index (TLI) method. Meanwhile, the main sources of water pollutants were defined, and targeted control measures were proposed. The results showed that water-quality deterioration is more pronounced during the non-flood season, with significantly higher concentrations of ammonia nitrogen (NH₃-N) and total phosphorus (TP) compared to the flood season. Additionally, the analysis of the nitrogen-to-phosphorus (N:P) ratio suggested that some sampling sites exhibited phosphorus limitation. The eutrophication assessment indicated that most sections are eutrophic, with S8 and S2 being the most heavily polluted and at risk of cyanobacterial blooms. The primary sources of pollutants were identified as agricultural runoff, domestic sewage, and industrial discharges. To address these issues, it was recommended to reduce external pollution sources while focusing on internal control (1. Enhance the management of livestock and poultry farming; 2. Upgrade wastewater purification facilities; 3. Establish ecological protection zones along the riverbanks) and enhance aquatic ecosystem restoration. A coordinated and watershed-wide approach is crucial to improving water quality in this region. The findings of this study provide a scientific basis for the protection of the water environment and pollution control in plain river network areas.

Existing standards rely primarily on cross-flow velocity limits, whereas the cumulative influence of cross-flow length on ship drift and channel safety remains insufficiently quantified. In this study, a flow-field-driven manoeuvring assessment framework that integrates a steady two-dimensional nonuniform flow model with a standard 3-DOF MMG manoeuvring model is developed, and numerical simulations are performed for representative inland cargo ships operating in China’s Class I–V waterways under conservative upstream conditions. The key contributions of this study are as follows: (i) Introduction of the acceptable maximum safety cross-flow length (AMSCL), defined as the maximum cross-flow zone length that allows a ship to exit the zone within safety boundaries without requiring channel widening at a given excessive cross-flow velocity. (ii) Across Class I–V waterways, the AMSCL values range from 7.78 to 54.98 m for cross-flow velocities between 0.35 and 0.60 m/s, demonstrating the strong combined effects of cross-flow velocity and length on safety margins. (iii) Based on the AMSCL and simulated trajectories, chart-based criteria are developed to determine the required local channel widening and to quantify its approximately linear relationship with cross-flow velocity and length. (iv) A confluence case study (Guangping River–Pinglu Canal) confirms that the proposed widening scheme improves heading stability and reduces cross-flow-induced navigation risk. This research provides a quantitative framework for enhancing navigation safety and optimizing channel design in inland waterways subject to excessive cross-flow.