Third Institute of Oceanography, Ministry of Nature Resources, Xiamen 361005, China.
Xiamen Environmental Monitoring Station, Xiamen 361021, China.
Int J Environ Res Public Health. 2022 Dec 6;19(23):16363. doi: 10.3390/ijerph192316363.
The runoff of the Jiulong River (JLR) is a key parameter that affects the estimation of pollutant flux into Xiamen Bay (XMB). The precise runoff estimation of the JLR can be used to determine the accuracy of the pollutant flux estimation flowing into XMB. In this study, to analyze the hydrological dynamic characteristics and identify the correlation between fixed-site real-time ocean current observations and cross-sectional navigation flow observations, we conducted six navigation observations on two cross-sections of the JLR estuary during the spring tide and neap tide in the normal season, wet season, and dry season in 2020. Simultaneously, we measured hydrological observation data by a fixed-site buoy located in the JLR estuary and collected runoff data that were measured upstream of the JLR. The results showed that the average correlation coefficient between the average velocity of the fixed-point buoy and average velocity of the section was more than 0.90, higher than expected, the minimum average deviation was 4%, and the minimum sample standard error was 5.7%, which was a good result. In this study, we constructed a model for estimating the runoff of the JLR into the sea. The findings demonstrated that Acoustic Doppler Current Profiler (ADCP) online monitoring data were useful to estimate runoff of the JLR with high accuracy, could promote the accuracy of estimated pollutant flux of the JLR's discharge into XMB, and could provide more scientific and reliable basic data for future load flux estimation research.
九龙江（JLR）径流量是影响污染物通量估算进入厦门湾（XMB）的关键参数。精确估算九龙江径流量可用于确定流入厦门湾污染物通量估算的准确性。在本研究中，为分析水文动力特性，识别固定站点实时海流观测与横断面通航流观测之间的相关性，我们于 2020 年正常季节、雨季和旱季大潮和小潮期间，在九龙江河口的两个横断面进行了六次通航观测。同时，我们利用位于九龙江河口的固定站点浮标测量了水文观测数据，并收集了九龙江上游的径流量数据。结果表明，固定点浮标平均速度与断面平均速度之间的平均相关系数大于 0.90，高于预期，最小平均偏差为 4%，最小样本标准误差为 5.7%，这是一个很好的结果。在本研究中，我们构建了一个估算九龙江入海径流量的模型。研究结果表明，声学多普勒海流剖面仪（ADCP）在线监测数据可用于高精度估算九龙江径流量，可以提高估算九龙江入海污染物通量的准确性，为未来负荷通量估算研究提供更科学、可靠的基础数据。
