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Spatiotemporal distributions of dissolved oxygen and its driving factors in gate-controlled seagoing rivers
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Xiao-yue JIN1, 2, Ju HUANG2, *, Zhong-ya FAN2, Lu HUANG2, Qian-li LUO2, Zhen WANG1, **
China Environmental Science | 2025, 45(6) : 3311 - 3320
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China Environmental Science | 2025, 45(6): 3311-3320
Environmental Ecology
Spatiotemporal distributions of dissolved oxygen and its driving factors in gate-controlled seagoing rivers
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Xiao-yue JIN1, 2, Ju HUANG2, *, Zhong-ya FAN2, Lu HUANG2, Qian-li LUO2, Zhen WANG1, **
Affiliations
  • 1.Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
  • 2.Guangdong Key Laboratory of Water and Air Pollution Control, National Key Laboratory of Water Environment Simulation and Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510535, China
Published: 2025-06-20
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This study analysed the spatiotemporal characteristics of dissolved oxygen (DO) concentrations upstream and downstream of sluices during dry and wet years, using data from three automated water quality monitoring stations and field measurements along the Huangjiang River in Guangdong Province. Multiple statistical methods were employed to identify the relative contributions of key influencing factors to DO variability across years under different precipitation conditions. Upstream DO concentrations were generally higher in dry years ((8.02±0.10) mg/L) than in wet years ((7.26±0.08) mg/L). In contrast, DO levels in the downstream tidal section increased from (4.45±0.10) mg/L (dry year) to (7.33±0.09) mg/L (wet year), primarily due to improved water quality. Periodic fluctuations were observed in both years, with higher DO levels during the flood season and lower levels during the non-flood season throughout the river channel. Influenced by the gate control and different external inputs, DO fluctuations upstream and downstream were driven by different factors. Rainfall and water temperature explained 44% to 87% of the DO variability upstream. While ammonia nitrogen, and CODMn were the most influential factors downstream, accounting for 53% to 75% of the variability. Furthermore, the “lacustrine” upstream section was especially sensitive to climate variations. In this area, the loss of phytoplankton biomass caused by stormwater runoff was a major factor contributing to DO difference during dry and wet years. While DO downstream is more easily influenced by water pollutants, especially the significant decrease in oxygen-demanding substances.

gate-controlled  /  seagoing river  /  dissolved oxygen  /  dry and wet year  /  key environmental parameter
Xiao-yue JIN, Ju HUANG, Zhong-ya FAN, Lu HUANG, Qian-li LUO, Zhen WANG. Spatiotemporal distributions of dissolved oxygen and its driving factors in gate-controlled seagoing rivers[J]. China Environmental Science, 2025 , 45 (6) : 3311 -3320 .
Year 2025 volume 45 Issue 6
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Article Info
  • Receive Date:2024-11-15
  • Online Date:2026-02-27
  • Published:2025-06-20
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  • Received:2024-11-15
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Affiliations
    1.Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
    2.Guangdong Key Laboratory of Water and Air Pollution Control, National Key Laboratory of Water Environment Simulation and Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510535, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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