CODMn入海通量长时序演变:瓯江遥感影像光谱信息反演

doi:10.3969-j.issn.1001-909X.2023.01.004

摘要/Abstract

摘要：

瓯江作为浙江省第二大入海河流,每年约有200亿m³水体输入东海。为探究瓯江高锰酸盐指数(COD_Mn)的入海通量及其长时序变化特征,该文基于实测数据与Landsat-8遥感影像光谱信息之间的相关性,构建了瓯江COD_Mn遥感反演模型(平均相对误差为28%),获得了1986—2020年瓯江中下游河段COD_Mn反演结果。此外,进一步结合降水数据估算了瓯江入海径流量和COD_Mn入海通量,实现了瓯江COD_Mn入海通量长时序变化遥感监测。结果表明,瓯江入海段COD_Mn干、湿季差异并不明显,但总体而言,COD_Mn在湿季略高于干季; 1986—2020年,瓯江COD_Mn入海通量整体波动较大,略呈下降趋势。

关键词: 瓯江, COD_Mn, 入海通量, 卫星遥感, 变化趋势

Abstract:

As the second largest river in Zhejiang Province, Oujiang River has about 20 billion cubic meters of water flowing into the East China Sea every year. In order to explore the COD_Mn flux of Oujiang River into the sea and its characteristics of long-term changes based on the correlation between the measured data and the spectral information of Landsat-8 remote sensing image, the Oujiang River COD_Mn remote sensing inversion model was constructed (the average relative error is 28%) and the inversion results of COD_Mn in the middle and lower reaches of Oujiang River in 1986-2020 were obtained. In addition, based on rainfall data, the runoff and COD_Mn flux into the sea was further estimated and then remote sensing monitoring of long-term changes of Oujiang COD_Mn flux into the sea was realized. The results show that the difference of COD_Mn between dry and wet seasons in the Oujiang River Estuary is not obvious, but in general, the COD_Mn in wet season was slightly higher than that in dry season. From 1986 to 2020, the COD_Mn flux of Oujiang River into the sea fluctuated greatly, with a slight downward trend.

Key words: Oujiang River, COD_Mn, flux into the sea, satellite remote sensing, change trend

中图分类号:

P734
TP79

刘悦宁, 龚芳, 何贤强, 金旭晨. COD_Mn入海通量长时序演变:瓯江遥感影像光谱信息反演[J]. 海洋学研究, 2023, 41(1): 45-54.

LIU Yuening, GONG Fang, HE Xianqiang, JIN Xuchen. Long-term changes of COD_Mn flux into the sea: Retrieval of spectral information from remote sensing images of Oujiang River[J]. Journal of Marine Sciences, 2023, 41(1): 45-54.

图/表 9

图1 站位设置

Fig.1 Station setting

表1 瓯江中下游河段现场调查CODMn结果

Tab.1 CODMn results of field survey in the middle and lower reaches of Oujiang River

站点名称	COD_Mn/(mg·L^-1)
站点名称	9月湿季航次	12月干季航次
OJ10	1.26	1.10
OJ09	1.37	0.80
OJ13	0.98	1.10
OJ14	1.63	1.10
OJ08	1.89	1.00
OJ15	1.69	1.00
OJ16	2.01	1.40
OJ17	2.28	1.10
OJ19	2.20	1.30
OJ20	3.12	3.10
OJ03	5.47	5.20
最大值	6.67	6.20
最小值	0.98	0.80
平均值	2.84	2.21
标准差	1.60	1.87

表2 研究使用的遥感影像数据

Tab.2 Remote sensing data used in the study

卫星名称	遥感器	时间跨度	图幅数量/幅
Landsat-5	TM	1986-01-07—2011-10-27	134
Landsat-7	ETM+	1999-10-02—2003-01-14	21
Landsat-7	ETM+(修复条带后)	2003-07-25—2021-01-15	42
Landsat-8	OLI	2013-04-23—2021-12-09	46

表3 部分波段组合、模型形式及模型决定系数

Tab.3 Partial band combination results and R2 of the models

波段组合	模型形式	R²	p	n
ln(Blue+NIR)/ln(Red)	Y=816.827-1 484.774X+675.798X²	0.523	<0.001	42
ln(Green×NIR)/ln(Red+NIR)	Y=3 368.372-2 742.496X+269.527X³	0.577	<0.001	42
ln(Blue×NIR)/ln(Red+NIR)	Y=1 706.314-1 400.998X+140.141X³	0.611	<0.001	42

图2 钱塘江入海径流量计算值与实际监测值

Fig.2 Comparison of estimated and in situ runoff data of Qiantang River

图3 瓯江中下游河段CODMn空间分布(1986—2020年干季)

Fig.3 Spatial distribution of CODMn in the middle and lower reaches of Oujiang River (dry season 1986-2020)

图4 瓯江中下游河段CODMn空间分布(1986—2020年湿季)

Fig.4 Spatial distribution of CODMn in the middle and lower reaches of Oujiang River (wet season 1986-2020)

图5 瓯江中下游河段CODMn多年平均空间分布(1986—2020年)

Fig.5 Multi-year average spatial distribution of CODMn in the middle and lower reaches of Oujiang River (1986-2020)

图6 1986—2020年瓯江CODMn年入海通量及其与入海径流量的比值

Fig.6 The annual CODMn flux of Oujiang River into the sea from 1986 to 2020 and the ratio of CODMn flux into the sea with the runoff

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