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| Analysis on spatiotemporal characteristics of total phosphorus of agricultural non-point source pollution in the Yangtze River Economic Belt |
| Received:October 10, 2024 |
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| KeyWord:total phosphorus;DPeRs model;Yangtze River Economic Belt;precipitation;vegetation fraction |
| Author Name | Affiliation | E-mail | | LU Ying | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | ZHANG Jianhui | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | LI Wenjun | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | WANG Xuelei | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | wxlbnu@163.com | | HAO Xin | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | XIE Chengyu | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | |
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| Abstract: |
| This study aims to elucidate the spatial-temporal distribution patterns of total phosphorus（TP）emissions across the Yangtze River Economic Belt（YREB）and to clarify the driving relationships between TP emissions and natural factors. Employing the DPeRS model, this research conducted a pixel-scale spatiotemporal assessment of agricultural non-point source TP pollution in the YREB from 2016 to 2022. Precipitation and vegetation fraction were selected as critical natural factors to quantitatively assess their correlations with TP emission intensity. Results indicate that：TP emissions in the YREB declined from 1.21×105 t tons to 4.69×104 tons, a reduction of 61.3%, with areas showing a decreasing trend in TP intensity comprising four times the area with increasing trends. The average correlation coefficient between TP emission intensity and precipitation was 0.27, while that with vegetation fraction was -0.32, with partial correlation analysis demonstrating that TP emission intensity was more responsive to vegetation fraction than to precipitation over the 7-year period. Regional driver analysis of natural factors showed that TP emissions in areas primarily influenced by precipitation were concentrated in southern Jiangsu, central Anhui, eastern Hubei, and southern Jiangxi, whereas regions influenced predominantly by vegetation fraction were located in eastern Sichuan. The remaining areas were dominated by other factors, indicating that human factors may have a greater impact on agricultural non-point source TP emissions. This study reveals a stronger correlation between TP emission intensity and vegetation fraction than precipitation in the YREB from 2016 to 2022, with overall improvements observed in TP pollution levels. |
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