From Legacy Contamination to Green Infrastructure: Heavy Metal, Microplastics and Nutrient Pollution Management in the Yangtze River Basin
Abstract
1. Introduction
2. Methodology
3. Major Pollutants in the Yangtze River Basin
3.1. Heavy Metals in the Yangtze Drainage System
3.2. Sources of Heavy Metals in the Yangtze River
3.3. Organic Pollutants in the Yangtze River
3.4. Nutrient Pollution
3.5. Cross-Pollutant Interactions and Emerging Concerns
4. Spatial and Temporal Pollution Trends
4.1. Spatial Pollution Trends
4.2. Temporal Evolution: Divergent Trajectories
5. Ecological and Health Risks
5.1. Ecological Risk Through Yangtze River Pollution
5.2. Human Health Risks Through Yangtze River Pollution
6. Remediation Strategies
6.1. Physical and Chemical Methods Applied in the Yangtze River System
6.2. Biological Remediation Applied in the Yangtze River System
6.2.1. Phytoremediation Applied in the Yangtze River System
6.2.2. Microbial Remediation Applied in the Yangtze River System
7. Policy and Management Approaches
8. Integrated Management: One Health and Cross-Pollutant Strategies
9. Challenges and Future Directions
9.1. Knowledge Gaps in Yangtze River System Pollution Reclamation Understanding
9.2. Innovative Solutions for Greening the Golden Belt of the Yangtze River Basin
10. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Primary Contaminants | Sources | Type of Pollutants | Sample Collection Point/Area | Type of Sample | Reference Study |
|---|---|---|---|---|---|
| Heavy metals | |||||
| Lead (Pb) | Industrial activities, urban runoff, historical contamination | Pb | Yangtze River Delta, China | Soil | [76] |
| Cadmium (Cd) | Agricultural practices, industrial discharge, mining | Cd | Lower reaches of the Yangtze River, China | Soil | [77] |
| Mercury (Hg) | Industrial emissions, coal combustion, electronic waste | Hg | Yangtze River Delta, China | Soil | [49] |
| Chromium (Cr) | Industrial effluents, leather tanning, metal plating | Cr | Industrial regions across China | Soil | [78] |
| Arsenic (As) | Natural deposits, mining, pesticides | As | Yangtze River Delta, China | Groundwater | [41] |
| Copper (Cu) | Industrial discharge, mining, agricultural runoff | Cu | Yangtze River Delta, China | Soil | [79] |
| Zinc (Zn) | Industrial activities, galvanization, urban runoff | Zn | Yangtze River Delta, China | Soil | [43] |
| Nickel (Ni) | Industrial emissions, metal refining, batteries | Ni | Yangtze River Delta, China | Soil | [79] |
| Antimony (Sb) | Industrial activities, mining, vehicle brakes | Sb(III), Sb(V) | Yangtze River Delta, China | Soil | [80] |
| Fluoride (F) | Industrial discharge, natural geological sources | F | Informal landfills in the Yangtze River Delta, China | Groundwater | [18] |
| Organic contaminants and Microplastics | |||||
| Polycyclic Aromatic Hydrocarbons (PAHs) | Combustion of fossil fuels, industrial processes, vehicle emissions | PAHs (e.g., Benzo[a]pyrene) | Three Gorges Reservoir, China | Sediment | [64] |
| Organohalogenated Compounds | Industrial discharge, pesticide use, urban runoff | Chlorinated aliphatic hydrocarbons | Shallow groundwater in Shanghai, China | Groundwater | [81] |
| Pesticides (e.g., Atrazine) | Agricultural runoff, pesticide application | Atrazine | Yangtze River Delta, China | Soil | [65] |
| Hexachlorocyclohexane (HCH) | Historical pesticide use, industrial contamination | HCH, DDT | Agricultural soils across China | Soil | [82] |
| Microplastics | Urban runoff, wastewater discharge, plastic degradation | Various polymers | Yangtze River Estuary, China | Water, Sediment | [69] |
| Indicator | Spatial Pattern | Temporal Trend | Primary Driver | Input Type | Policy Response |
|---|---|---|---|---|---|
| Dissolved Cd/Pb | Higher near industrial parks | Decline of 38–42% (2013–2022) | Point-source industrial controls | Legacy plus continuing | “Water Ten” plan; discharge permits |
| Hg (sediment flux) | Peaks at Poyang Lake, Three Gorges Reservoir | Decline of 68% (2007–2020) | Smelter closures; wet scrubbers | Primarily legacy | “Soil Ten” action; smelter phase-out |
| Σ10PAHs | Concentrated in Yangtze River Delta industrial zones | Persistent above 4000 ng/g (2020) | Industrial legacy; ongoing petrochemical activity | Legacy dominant | Partial controls; limited effectiveness |
| Microplastics | Highest in Shanghai estuary; storm-driven pulses | Increase of 295% (2013–2022); 9.4% per year | Plastic production growth; packaging waste | Continuing (new) | Minimal upstream reduction policies |
| Cr(VI) groundwater | Nanjing Qixia district plume | Stable or elevated up to 110 µg/L | Legacy electroplating | Legacy | Site remediation required |
| Zn (industrial) | Suzhou section hotspot | Decline of 55% (post-2019) | Permit system enforcement | Continuing | 2019 Wastewater Discharge Permit |
| Risk Domain | Evidence Type | Key Finding | Quantitative Value | Interpretation/Context |
|---|---|---|---|---|
| Ecological | Field observation | Benthic community impairment near industrial discharge | Species richness decline >50% within 5 km | Direct ecosystem impact; correlates with sediment Hg and PAH concentrations |
| Field observation | Fish bioaccumulation in lower reaches | 30% of predatory fish exceed 0.5 mg kg−1 Hg wet weight | Approaches 1.0 mg kg−1 consumption advisory threshold | |
| Field observation | Seasonal hypoxia downstream of Three Gorges Dam | Dissolved oxygen <2 mg L−1 during summer stratification | Recurring kill zones for bottom-dwelling species | |
| Laboratory study | Cadmium acute toxicity to zebrafish embryos | 96 h LC50 = 125 µg L−1 in soft water | Upper basin tributary conditions; establishes acute threshold | |
| Laboratory study | Lead acute toxicity to zebrafish embryos | 96 h LC50 = 890 µg L−1 in soft water | Lower toxicity than Cd; concentration–response reference | |
| Laboratory study | Microplastic sublethal effects on juvenile carp | 10,000 particles L−1 induces feeding depression | Environmentally relevant concentration; behavioral endpoint | |
| Laboratory study | Oxidative stress from PAH-contaminated sediment | MDA levels increase 3× after 2-week exposure | Mechanistic pathway validation; biomarker response | |
| Laboratory study | Genotoxicity in carp erythrocytes | Significant DNA fragmentation at >500 ng g−1 B[a]P | Comet assay; sediment quality threshold indicator | |
| Modeled estimate | Cadmium species sensitivity distribution | HC5 = 1.2 mg kg−1 sediment (5% species affected) | 40% of Yangtze Delta sediments exceed ecological threshold | |
| Modeled estimate | Mercury biomagnification | BMF = 3.8–6.2 per trophic level | Top predators accumulate highest burdens; dietary exposure driver | |
| Modeled estimate | Pesticide mixture risk in agricultural tributaries | 65% of locations show probable risk to invertebrates | Combined organophosphate and pyrethroid exposures | |
| Human Health | Epidemiological | Lung cancer mortality near petrochemical facilities | RR = 1.34 (males), 1.28 (females) | Significant excess mortality after smoking adjustment; 12,000-subject cohort |
| Epidemiological | Childhood blood lead near former smelters | 6.8 vs. 3.2 µg dL−1 (geometric mean) | 15% of exposed children exceed 10 µg dL−1 intervention threshold | |
| Epidemiological | Preterm birth and chlorinated solvents | OR = 1.42 for TCE >5 µg L−1 | Drinking water exposure in Shanghai suburbs | |
| Modeled estimate | Mercury intake via fish consumption | 0.48 µg kg−1 bw day−1 | 84% of JECFA tolerable daily intake (0.57 µg kg−1 bw day−1) | |
| Modeled estimate | PAH cancer risk for recreational anglers | ILCR = 2.3 × 10−4 | Exceeds 1.0 × 10−4 de minimis threshold; sediment contact scenario | |
| Modeled estimate | Microplastic drinking water risk | 0.02 DALYs per capita annually | Below toxicological thresholds but includes uncertainty | |
| Biomonitoring | Breast milk PCB congener sum | 180 ng g−1 lipid (median, 2020) | Decline from 340 ng g−1 (2005); comparable to global industrialized regions | |
| Biomonitoring | Hair mercury in fishing communities | 1.9 µg g−1 geometric mean | 22% exceed 2.0 µg g−1 reference for neurological symptoms | |
| Biomonitoring | Urinary 1-hydroxypyrene in urban populations | Elevated levels detected | Indicates combined inhalation and dietary PAH exposure | |
| Mixture Toxicity | Laboratory | Cd-Pb synergistic toxicity to zebrafish | 30–50% greater than additive | Concentration ratios typical of Yangtze sediments |
| Laboratory | PAH mixture AHR activation | B[a]P + fluoranthene below individual thresholds | Receptor-mediated interaction; non-additive mechanism | |
| Laboratory | Microplastic pollutant carrier effect | 1.5–3× increased effective toxicity | Hydrophobic organic pollutant delivery enhancement | |
| Field observation | Whole-sediment toxicity vs. individual contaminants | Observed > predicted from single-chemical models | Synergistic interactions; unmeasured organic toxicant contributions | |
| Modeled estimate | Cumulative hazard index for delta communities | HI = 2.4–4.7 | Probable health concern; heavy metals + pesticides + solvents | |
| Modeled estimate | Dioxin-like TEQ in fish | 12–45 pg g−1 lipid | Endocrine disruption risk range; RPF approach | |
| Modeled estimate | PAH mixture margin of exposure | Approaches threshold for developmental toxicity | Sensitive subpopulation consideration required |
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Cao, S.; Wang, P. From Legacy Contamination to Green Infrastructure: Heavy Metal, Microplastics and Nutrient Pollution Management in the Yangtze River Basin. Toxics 2026, 14, 406. https://doi.org/10.3390/toxics14050406
Cao S, Wang P. From Legacy Contamination to Green Infrastructure: Heavy Metal, Microplastics and Nutrient Pollution Management in the Yangtze River Basin. Toxics. 2026; 14(5):406. https://doi.org/10.3390/toxics14050406
Chicago/Turabian StyleCao, Shu, and Ping Wang. 2026. "From Legacy Contamination to Green Infrastructure: Heavy Metal, Microplastics and Nutrient Pollution Management in the Yangtze River Basin" Toxics 14, no. 5: 406. https://doi.org/10.3390/toxics14050406
APA StyleCao, S., & Wang, P. (2026). From Legacy Contamination to Green Infrastructure: Heavy Metal, Microplastics and Nutrient Pollution Management in the Yangtze River Basin. Toxics, 14(5), 406. https://doi.org/10.3390/toxics14050406
