Pollution Characteristics and Eutrophication Assessment in Plain River Network Areas: A Case Study of the Beijing–Hangzhou Grand Canal (Changzhou Section)

Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3353 - 3353

Published: Nov. 22, 2024

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

Language: Английский

---

Inversion of Chlorophyll-a Concentration in Wuliangsu Lake Based on OGolden-DBO-XGBoost

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4798 - 4798

Published: June 1, 2024

Chlorophyll-a (Chl-a) concentration is one of the important indicators in water bodies for assessing ecological health quality. In this paper, an OGolden-DBO-XGBoost Chl-a inversion model proposed using Wuliangsu Lake as study area, and by combining Sentinel-2 remote-sensing satellite images measured data Lake, XGBoost optimized hybrid-strategy-improved dung beetle optimization algorithm (OGolden-DBO), model. The model’s coefficients determination (R2s) were 0.8936 0.8850 on training set test set, according to results. root mean squared errors (RMSEs) 3.1353 2.9659 μg/L, absolute (MAEs) 1.8918 2.4282 μg/L. performed well provided a strong support detection Lake.

Language: Английский

---

Seasonal Eutrophication in Lentic Small Waterbodies: Understanding Nutrients-Chlorophyll-a Relationships and Implications

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100563 - 100563

Published: Dec. 1, 2024

Language: Английский

---