Characteristics of Nutrient Transport in Runoff from Different Land-Use Types on Maozhou Island in the Li River Basin

Non-point source pollution poses a severe threat to the water quality of the Li River. This study conducted field monitoring of pollution loads from different land-use types on Maozhou Island in the Li River during the 2023 rainy season. Runoff water quality from vegetable plots, orchards, and bamboo forests consistently exceeded standards, with vegetable plots being the primary source of pollution. Their total phosphorus (TP) concentration exceeded standards by nearly 25 times, contributing the highest annual load. The transport of pollutants (TP, total nitrogen(TN), chemical oxygen demand(COD<sub>Cr</sub>)) was closely correlated with suspended solids (SS), with the finest particles (<5 μm) identified as the primary carrier exhibiting the strongest pollutant enrichment capacity (e.g., in vegetable fields, the correlation coefficient r between < 5 μm particles and TP was >0.85, <i>p</i> < 0.01). Rainfall patterns significantly influenced pollutant concentrations; TN and TP levels increased with preceding dry days, while phosphorus output from vegetable plots decreased with rising average rainfall temperature. Compared to bamboo forests, vegetable plots and orchards exhibited lower soil adsorption capacity. This study recommends a connectivity-based strategy prioritizing the interception of heavily enriched fine particulate matter (<5 μm) through runoff control and enhanced wetland retention functions. These findings underscore the importance of controlling fine particulate matter for reducing non-point source pollution and maintaining ecological health in the Lijiang River basin.

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Publication Details

Journal
Toxics
Published
2026-01-29
DOI
https://doi.org/10.3390/toxics14020126
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
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article

Characteristics of Nutrient Transport in Runoff from Different Land-Use Types on Maozhou Island in the Li River Basin

Tieguang He, Yanli Ding, Dandan Xu, Chengcheng Zeng et al.
Toxics
Soil and Water Nutrient Dynamics
article

Characteristics of Nutrient Transport in Runoff from Different Land-Use Types on Maozhou Island in the Li River Basin

Tieguang He, Yanli Ding, Dandan Xu, Chengcheng Zeng, Guibin Huang, Yuxin Sun, Shuhai Huang, Hui Wang, Huili Liu, Yanan Zhang, Guangyan He
article en

Abstract

Non-point source pollution poses a severe threat to the water quality of the Li River. This study conducted field monitoring of pollution loads from different land-use types on Maozhou Island in the Li River during the 2023 rainy season. Runoff water quality from vegetable plots, orchards, and bamboo forests consistently exceeded standards, with vegetable plots being the primary source of pollution. Their total phosphorus (TP) concentration exceeded standards by nearly 25 times, contributing the highest annual load. The transport of pollutants (TP, total nitrogen(TN), chemical oxygen demand(COD<sub>Cr</sub>)) was closely correlated with suspended solids (SS), with the finest particles (<5 μm) identified as the primary carrier exhibiting the strongest pollutant enrichment capacity (e.g., in vegetable fields, the correlation coefficient r between < 5 μm particles and TP was >0.85, <i>p</i> < 0.01). Rainfall patterns significantly influenced pollutant concentrations; TN and TP levels increased with preceding dry days, while phosphorus output from vegetable plots decreased with rising average rainfall temperature. Compared to bamboo forests, vegetable plots and orchards exhibited lower soil adsorption capacity. This study recommends a connectivity-based strategy prioritizing the interception of heavily enriched fine particulate matter (<5 μm) through runoff control and enhanced wetland retention functions. These findings underscore the importance of controlling fine particulate matter for reducing non-point source pollution and maintaining ecological health in the Lijiang River basin.

ToxicsVol. 14(2)
Guilin University of Technology (CN), Guangxi Academy of Agricultural Science (CN)
National Natural Science Foundation of China, Guilin University of Technology
Openalex Percentile: Top 76%
Soil and Water Nutrient Dynamics
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