江苏近海有色可溶有机物时空分布特征

doi:10.11867/j.issn.1001-8166.2017.05.0524

地球科学进展 ›› 2017, Vol. 32 ›› Issue (5): 524 -534. doi: 10.11867/j.issn.1001-8166.2017.05.0524

江苏近海有色可溶有机物时空分布特征

马其琦(

), 柯长青 ^*

南京大学地理与海洋科学学院, 江苏南京 210023

收稿日期:2016-11-13 修回日期:2017-03-20 出版日期:2017-05-20
通讯作者: 柯长青 E-mail:mq113115@163.com
基金资助:
国家自然科学基金项目“冰雷达与卫星测高协同的南极冰下湖遥感识别研究”(编号:41371391);国家重点研发计划项目“海洋气候数据集生成与分析”(编号:2016YFA0600102)资助

Temporal and Spatial Distribution Characteristics of Colored Dissolved Organic Matter in Coastal Waters of Jiangsu Province

Qiqi Ma( ), Changqing Ke ^*

School of Geographic and Oceanographic Science, Nanjing University, Nanjing 210023, China

Received:2016-11-13 Revised:2017-03-20 Online:2017-05-20 Published:2017-05-20
Contact: Changqing Ke E-mail:mq113115@163.com
About author:
First author:Ma Qiqi(1994-),male,Bengbu City,Anhui Province,Maste student.Research areas include remote sensing and its application.E-mail:mq113115@163.com
Supported by:
*Project supported by the National Natural Science Foundation of China “Remote sensing identification of subglacial lakes in Antarctica by the synergy of ice radar and satellite altimetry”(No.41371391);The National Key Research and Development Program of China “Generation and analysis of climate dataset in oceans”(No;2016YFA0600102)

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有色可溶有机物(CDOM)是重要的水色要素之一,在“江苏沿海大开发”背景下,利用遥感分析其时空分布特征对监测近海水质及污染状况有重要的实际意义。用高时间分辨率的韩国静止水色卫星(GOCI)影像,在日、周、月多时间尺度上分析2011年4月至2016年5月江苏近海有色可溶有机物的时空分布特征。结果表明江苏近海CDOM以陆源为主,近岸高于远岸;月平均浓度最大值(0.180~0.206 m^-1)在长江口最大浑浊带外,南黄海西岸次之(0.167~0.201 m^-1),南黄海中南部较低(0.086~0.187 m^-1,440 nm吸收系数)。结合潮位数据,发现沿岸海域CDOM日变化与潮汐变化一致,但远海区域呈先减后增的特征。利用余弦函数对CDOM月均值进行拟合,发现南黄海月尺度变化周期性明显,其中南黄海中部海域拟合优度为0.823。南黄海主要受黄海冷水团影响,各子区季节变化显著,CDOM在冬春季高于夏秋季;长江口由于冲淡水及其他水团共同影响,情况复杂,冬春季低于夏秋季。月尺度下,CDOM浓度与悬浮物(TSM)呈正相关关系(相关系数r为0.72),且南黄海中部与南部CDOM随TSM的变化趋势较为显著。

关键词: 有色可溶有机物(CDOM), 静止水色卫星(GOCI), 高时间分辨率, 时空分布特征, 江苏近海

Colored Dissolved Organic Matter (CDOM) is one of important ocean color factors. In the background of “Jiangsu Coastal Development”, it is important to monitor the water quality and pollution status of coastal waters by analyzing its spatial and temporal distribution characteristics with remote sensing data. This paper was based on the high temporal resolution of Geostationary Ocean Color Imager (GOCI) image downloaded from Korea Ocean Satellite Center. The temporal-spatial distribution of CDOM in Jiangsu coastal waters was analyzed on daily, weekly and monthly time scales from April, 2011 to May, 2016. CDOM in Jiangsu coastal waters are mainly terrigenous, and higher inshore than that of offshore. The monthly average concentration of CDOM in the western coast of the South Yellow Sea was 0.167~0.201 m^-1, and those of central and southern regions were 0.086~0.187m^-1. The maximum values were outside the maximum turbidity zone of the Yangtze River Estuary, which was 0.180~0.206 m^-1 (absorption coefficient at 440 nm). The diurnal variation of CDOM in near shore waters was found to coincide with the change of tide, which decreased at first and then increased in the sea area. By fitting the monthly mean using cosine function, significantly cyclical variation of mean CDOM was found in the South Yellow Sea. The central region of the South Yellow Sea waters fitting coefficient was 0.823. Affected by the Yellow Sea cold water mass, the sub-regions of the South Yellow Sea changed seasonally, whose CDOM concentration in winter and spring was higher than that in summer and autumn. Because of Changjiang Diluted Water and other water masses, seasonal variation of the Yangtze River Estuary was contrary to that of the South Yellow Sea. On monthly scale, CDOM concentration was positively correlated with total suspended matter, with correlation coefficient r being 0.72. The trend of the central and southern region was more significant.

Key words: Colored Dissolved Organic Matter (CDOM), GOCI, High temporal resolution, Temporal and spatial distribution characteristics, Coastal waters of Jiangsu Province.

中图分类号:

P734.4

图1 江苏近海地理位置与子区划分,采样区(浅蓝色方形区域)分布及潮位站(红色站点)位置

Fig.1 Location andsub-regions of Jiangsu coastal waters, distribution of sampling areas (light blue square) and location of tide stations (red site)

图2 2015年5月12日江苏近海CDOM变化
白色区域为由于云覆盖而在大气校正时被掩膜(陆架区域),或由于近红外波段反射率过高无法反演(沿岸区域)

Fig.2 CDOM variation in the coastal waters of Jiangsu on 12 May, 2015
The white areas are the regions masked byatmospheric correction due to the cloud coverage (shelf area), or too high reflectance at the near infrared wavelength to retrieve (offshore area)

图3 2015年5月12日各采样区CDOM逐时变化
数据点为成像时刻采样区内CDOM浓度的平均值

Fig.3 Hourly CDOM of sampling areas on 12 May, 2015
Points are average values of CDOM concentration in the sampling area of the imaging time

图4 2015年10月15日江苏沿海CDOM变化

Fig.4 CDOM variation in the coastal waters of Jiangsu on 15 October, 2015

图5 2015年10月15日各采样区CDOM逐时变化

Fig.5 Hourly CDOM of sampling areas on 15 October, 2015

图6 多年周平均CDOM变化

Fig.6 Multi-year variation of weekly average CDOM

图7 月平均CDOM变化

Fig.7 Variation of monthly average CDOM

表1 月平均CDOM变化拟合参数

Table 1 Fitting parameters of monthly average CDOM

模型参数	南黄海中部	南黄海西岸	长江口	南黄海南部
R²	0.823	0.394	0.172	0.481
A	0.091	0.179	0.195	0.131
B	1.850×10^-4	1.187×10^-4	7.946×10^-5	2.406×10^-4
C	0.075	0.011	-0.007	0.038
D	0.589	0.744	0.356	0.671

表1 月平均CDOM变化拟合参数

Table 1 Fitting parameters of monthly average CDOM

模型参数	南黄海中部	南黄海西岸	长江口	南黄海南部
R²	0.823	0.394	0.172	0.481
A	0.091	0.179	0.195	0.131
B	1.850×10^-4	1.187×10^-4	7.946×10^-5	2.406×10^-4
C	0.075	0.011	-0.007	0.038
D	0.589	0.744	0.356	0.671

图8 月平均CDOM与TSM的关系

Fig.8 Relationship of monthly average CDOM and TSM

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