基于遥感反演的珠江河口表层悬沙浓度分位数趋势分析 *

doi:10.11978/2018101

热带海洋学报 ›› 2019, Vol. 38 ›› Issue (3): 32-42.doi: 10.11978/2018101CSTR: 32234.14.2018101

基于遥感反演的珠江河口表层悬沙浓度分位数趋势分析 ^*

詹伟康^1,²,吴颉^1,²,韦惺¹,唐世林¹,詹海刚¹()

^1. 热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东广州 510301
^2. 中国科学院大学, 北京 100049

收稿日期:2018-10-09 修回日期:2018-11-06 出版日期:2019-05-20 发布日期:2019-06-17
通讯作者: 詹海刚
作者简介:詹伟康(1991—), 男, 广东省潮州市人, 博士研究生, 主要从事河口悬沙遥感研究。E-mail:zhanweikang13@mails.ucas.ac.cn
基金资助:
广州市科技项目(201607020042);热带海洋环境国家重点实验室自主研究项目(LTOZZ1503)

Quantile trend analysis for suspended sediment concentration in the Pearl River Estuary based on remote sensing

Weikang ZHAN^1,²,Jie WU^1,²,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:2018-10-09 Revised:2018-11-06 Online:2019-05-20 Published:2019-06-17
Contact: Haigang ZHAN
Supported by:
Science and Technology Program of Guangzhou, China(201607020042);Self-research Program of the State Key Laboratory of Tropical Oceanography(LTOZZ1503)

摘要/Abstract

摘要：

利用中分辨率成像光谱仪(moderate resolution imaging spectroradiometer, MODIS)一级产品并结合航次数据, 反演2003—2015年间珠江河口表层悬浮泥沙浓度(suspended sediment concentration, SSC), 分析其分位数长期变化趋势并探讨其影响因素。结果表明, 珠江河口SSC呈总体下降趋势, 平均下降速率约为1.03mg·L ^-1·yr ^-1。口门外以及河口东北部区域平均SSC下降更快, 最高可达约4.0mg·L ^-1·yr ^-1。总体上, 珠江河口SSC高值下降速率大于低值, 且存在空间差异性。低值下降趋势显著地区主要分布在淇澳岛北部的口门外区域, 其SSC大小值之间的差异逐年增加; 而高值下降速率快的地区主要分布在虎门口、龙穴岛东南岸以及东航道附近水域, SSC每年大小值差异呈减小趋势。珠江河口SSC分位数趋势受径流输沙量、河口地形变化以及风的影响。由水库修建所致的上游输沙量减少导致淇澳岛北部口门外区域SSC的低值部分显著下降。虎门口、龙穴岛东南岸以及东航道附近水域的加深使得这些区域SSC高值部分下降显著, 而西滩区域的变浅使得冬季潮汐混合减弱, 导致SSC高值部分下降趋势显著。此外, 由风速下降引起的表层风混合减弱也是导致西滩南部SSC高值下降趋势显著的原因之一。

关键词: 悬沙浓度, MODIS, 珠江河口, 分位数趋势

Abstract:

Suspended sediment concentration (SSC) in the Pearl River Estuary (PRE) during 2003-2015 was studied based on Moderate Resolution Imaging Spectroradiometer (MODIS) Level-1B product and in-situ measurements. The data were further used to analyze quantile trends and corresponding influence factors. The results showed that the SSC in the PRE displayed a decreasing trend, with an averaged SSC reduction rate of about1.03 mg·L ^-1·yr ^-1. The SSC in the regions near the river outlets and northeast part of the estuary suffered from much stronger decreases, which could be up to 4.0 mg·L ^-1·yr ^-1 during 2003-2015. Decreasing rate in high SSC were generally larger than those in low SSC, with a marked spatial difference. Low percentile of the SSC suffered from a stronger decline in the regions north of Qiao Island, with an increase in the variance of the distribution, while remarkable trends of high percentile of SSC occurred in the Humen outlet, northeastern coast of Longxue Island and regions near the East Channel, with corresponding decreases in the variance of the distribution. The quantile trends in the PRE were influenced by many factors. The seasonal variation of dam-induced reduction of the sediment load into the PRE contributed to most of the low-percentile SSC decreases north of Qiao Island. The subaqueous topographic change in the PRE induced by human activities dominated the high-percentile SSC trends in the Humen outlet, northeastern coast of Longxue Island, southern West Shoal, and regions near the East Channel. The decrease of the wind speed over the PRE also affected the high-percentile SSC trend in the southern West Shoal by weakening wind mixing in the boundary layer.

Key words: Suspended sediment concentration, MODIS, Pearl River Estuary, quantile trend

中图分类号:

P333.4

詹伟康,吴颉,韦惺,唐世林,詹海刚. 基于遥感反演的珠江河口表层悬沙浓度分位数趋势分析 ^*[J]. 热带海洋学报, 2019, 38(3): 32-42.

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.

图/表 11

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	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

基于遥感反演的珠江河口表层悬沙浓度分位数趋势分析 ^*

Quantile trend analysis for suspended sediment concentration in the Pearl River Estuary based on remote sensing

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