Journal of Tropical Oceanography ›› 2019, Vol. 38 ›› Issue (3): 32-42.doi: 10.11978/2018101CSTR: 32234.14.2018101
• Marine Hydrography • Previous Articles Next Articles
Quantile trend analysis for suspended sediment concentration in the Pearl River Estuary based on remote sensing
Weikang ZHAN1,2,Jie WU1,2,Xing WEI1,Shilin TANG1,Haigang ZHAN1(
)
- 1. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
-
Received:2018-10-09Revised:2018-11-06Online:2019-05-20Published:2019-06-17 -
Contact:Haigang ZHAN E-mail:hgzhan@scsio.ac.cn -
Supported by:Science and Technology Program of Guangzhou, China(201607020042);Self-research Program of the State Key Laboratory of Tropical Oceanography(LTOZZ1503)
CLC Number:
- P333.4
Cite this article
Weikang ZHAN,Jie WU,Xing WEI,Shilin TANG,Haigang ZHAN. Quantile trend analysis for suspended sediment concentration in the Pearl River Estuary based on remote sensing[J].Journal of Tropical Oceanography, 2019, 38(3): 32-42.
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Fig.1
Map of the Pearl River drainage basin. The rivers and main hydrological stations (red triangles) of the three branches are indicated (a). Bathymetry map of the PRE with the location of the sampled stations during six cruises (b)"
Fig.1
Fig. 2
Scatter plot of satellite-derived SSC vs. measured SSC from the samples collected during oceanographic cruises. The solid line shows the 1:1 relationship"
Fig. 2
Tab. 1
Statistical evaluation of the SSC algorithm"
| 数据 组数 | 斜率 | 截距 | 相关系数 | 均方根误差/(mg·L-1) | |
|---|---|---|---|---|---|
| 全年 | 64 | 1.04 | -0.004 | 0.90 | 4.75 |
| 洪季 | 35 | 0.87 | 0.97 | 0.81 | 4.58 |
| 枯季 | 29 | 1.04 | -0.03 | 0.92 | 4.95 |
Tab. 1
Fig. 3
Climatological mean SSC (a) and the rate of SSC change (b) of the Pearl River Estuary (a). The stippling in (b) indicates areas where there were significant increasing or decreasing trends"
Fig. 3
Fig. 4
Quantile regression trends (a) and quantile slopes (b) for monthly-mean SSC. The blue circles in (a) show the monthly-mean SSC averaged in the Pearl River Estuary. The thick black line is the trend of the mean SSC, and the dash-dotted black lines are the trends in the 5th and 95th percentiles, respectively. The vertical error bars in (b) indicate the corresponding 95% confidence interval, and the black solid line shows the mean SSC slope, with the corresponding 95% confidence interval (dashed line)"
Fig. 4
Fig. 5
Quantile regression trends (units: mg·L-1·yr-1) (2003-2015) for different percentiles of SSC in the Pearl River Estuary. Stippling indicates areas where there are significant increasing or decreasing trends"
Fig. 5
Fig. 6
Trend (units: mg·L-1·yr-1) (2003-2015) in 95th-5th percentile for the SSC in the Pearl River Estuary. Stippling indicates areas where there are significant increasing or decreasing trends"
Fig. 6
Fig. 7
Trends (2000-2014) of water discharge and sediment load in the Pearl River"
Fig. 7
Fig. 8
Spatial distribution of the month when the maximum (a) and minimum (b) SSC occurred based on the monthly-mean satellite-derived SSC during the period 2003-2015"
Fig. 8
Fig. 9
Trend (units: mg·L-1·yr-1) (2003-2015) in 95th percentile for the SSC (a) and subaqueous topographic change (2000-2010) in the Pearl River Estuary. Stippling indicates areas where there are significant increasing or decreasing trends"
Fig. 9
Fig. 10
Quantile slopes (2003-2015) for monthly-mean wind speed (a) and climatological monthly-averaged wind speed (b) in the Pearl River Estuary. Gray error bars indicate the corresponding 95% confidence level"
Fig. 10
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