Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay
Many rivers and lakes worldwide, especially lake bays adjacent to rivers, have experienced eutrophication. However, the effects of nutrient emission reduction and hydrological conditions on the levels and spatiotemporal distribution patterns of nitrogen (N) and phosphorus (P) in lake bays remained i...
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Elsevier
2025-01-01
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author | Qiqi Yuan Zhihui Ren Ruidong Chen Qingji Zhang Jinsong Ma Lachun Wang |
author_facet | Qiqi Yuan Zhihui Ren Ruidong Chen Qingji Zhang Jinsong Ma Lachun Wang |
author_sort | Qiqi Yuan |
collection | DOAJ |
description | Many rivers and lakes worldwide, especially lake bays adjacent to rivers, have experienced eutrophication. However, the effects of nutrient emission reduction and hydrological conditions on the levels and spatiotemporal distribution patterns of nitrogen (N) and phosphorus (P) in lake bays remained insufficiently understood. In this study, a dynamic model was developed to track nutrient transport processes from source areas to rivers and lake bays, and applied it to Zhushan Bay and its upstream region in the Taihu Basin, China. Hydro-chemical analysis results indicated that during the wet season, the total nitrogen (TN) concentration (1.64 mg·L-1) in the river inflow section was higher than that in the lake bay (1.48 mg·L-1), while total phosphorus (TP) (0.24 mg·L-1) was lower than in the lake bay (0.30 mg·L-1). The model results showed that in 2020, domestic sewage sources (38.24 %) and surface sources from cultivated land (33.14 %) were the primary contributors of fluvial TN, while livestock and poultry breeding sources (59.37 %) were the main sources of fluvial TP. Scenario simulations indicated that a 30 % reduction in nutrient emissions led to a corresponding decrease in TN and TP loads in the lake bays, with more significant reductions observed during the dry season (TN: 3.05 %; TP: 9.51 %). A 12 % reduction in river discharge during the dry season resulted in a corresponding decrease in TN and TP loads in the lake bays, with the reduction in TP (1.81 %) greater than that of TN (1.39 %). This study offered insights into nutrient transport and guidance for managing nutrients in lake basins. |
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institution | Kabale University |
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spelling | doaj-art-c5c5ed3f9456439a8560f45ab29823252025-01-31T05:10:39ZengElsevierEcological Indicators1470-160X2025-01-01170113046Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bayQiqi Yuan0Zhihui Ren1Ruidong Chen2Qingji Zhang3Jinsong Ma4Lachun Wang5School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province, ChinaInstitute of Geographic Sciences and Natural Resources Research, CAS, Beijing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province, China; Corresponding author.School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province, ChinaMany rivers and lakes worldwide, especially lake bays adjacent to rivers, have experienced eutrophication. However, the effects of nutrient emission reduction and hydrological conditions on the levels and spatiotemporal distribution patterns of nitrogen (N) and phosphorus (P) in lake bays remained insufficiently understood. In this study, a dynamic model was developed to track nutrient transport processes from source areas to rivers and lake bays, and applied it to Zhushan Bay and its upstream region in the Taihu Basin, China. Hydro-chemical analysis results indicated that during the wet season, the total nitrogen (TN) concentration (1.64 mg·L-1) in the river inflow section was higher than that in the lake bay (1.48 mg·L-1), while total phosphorus (TP) (0.24 mg·L-1) was lower than in the lake bay (0.30 mg·L-1). The model results showed that in 2020, domestic sewage sources (38.24 %) and surface sources from cultivated land (33.14 %) were the primary contributors of fluvial TN, while livestock and poultry breeding sources (59.37 %) were the main sources of fluvial TP. Scenario simulations indicated that a 30 % reduction in nutrient emissions led to a corresponding decrease in TN and TP loads in the lake bays, with more significant reductions observed during the dry season (TN: 3.05 %; TP: 9.51 %). A 12 % reduction in river discharge during the dry season resulted in a corresponding decrease in TN and TP loads in the lake bays, with the reduction in TP (1.81 %) greater than that of TN (1.39 %). This study offered insights into nutrient transport and guidance for managing nutrients in lake basins.http://www.sciencedirect.com/science/article/pii/S1470160X24015036Hydrological simulationNitrogenPhosphorusInflux RiversZhushan Bay |
spellingShingle | Qiqi Yuan Zhihui Ren Ruidong Chen Qingji Zhang Jinsong Ma Lachun Wang Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay Ecological Indicators Hydrological simulation Nitrogen Phosphorus Influx Rivers Zhushan Bay |
title | Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
title_full | Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
title_fullStr | Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
title_full_unstemmed | Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
title_short | Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
title_sort | regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay |
topic | Hydrological simulation Nitrogen Phosphorus Influx Rivers Zhushan Bay |
url | http://www.sciencedirect.com/science/article/pii/S1470160X24015036 |
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