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山东半岛近岸海带养殖活动对水体光学吸收特性的影响
引用本文:姜珊珊,黄海军,董玉国,刘艳霞,严立文,王启飞,李冰.山东半岛近岸海带养殖活动对水体光学吸收特性的影响[J].海洋科学,2023,47(10):10-24.
作者姓名:姜珊珊  黄海军  董玉国  刘艳霞  严立文  王启飞  李冰
作者单位:中国科学院海洋研究所 海洋地质与环境重点实验室, 山东 青岛 266071;中国科学院大学, 北京 100049;华能霞浦核电有限公司, 福建 宁德 352000;华能山东石岛湾核电有限公司, 山东 威海 264312
基金项目:国家自然科学基金项目(41976166);华能石岛湾核电厂址水文观测专题(FWQT00029)
摘    要:为了研究近岸海带养殖活动对水体光学特性的影响,本文选取山东半岛黑泥湾海域为典型研究区,利用2021年4月和8月在该区的9站同步观测数据,分析其总悬浮颗粒物、藻类颗粒物、非藻类颗粒物以及有色溶解有机物的吸收特性,并计算各组分对总吸收系数的贡献率,同时采用Quasi-analytical algorithm (QAA)算法借助MODIS影像反演了水体总吸收系数,结合实测数据获得了黑泥湾水体吸收特性的季节变化情况。结果表明,有海带养殖季节表层水体藻类颗粒物、非藻类颗粒物、总颗粒物和有色溶解有机物的吸收系数明显大于无海带养殖季节,且春季海带养殖区水体的总吸收系数大于无海带养殖区;海底表层沉积物的再悬浮造成底层吸收系数较大,而在春季成熟期的海带汇聚较大量的有机物质导致中层藻类颗粒物吸收系数相对较高;参考波长向红波移动,QAA_v5算法能够较好地估算该区表层水体吸收系数,且在海带养殖季节水体组分会影响到更长的波段特征。本研究可为深入了解海带养殖对水体各组分浓度和分布、碳循环以及水生生态系统的结构和功能的影响提供参照,并有助于提高近岸水体组分的遥感反演精度。

关 键 词:黑泥湾  海带养殖  吸收特性  Quasi-analytical  algorithm  季节变化
收稿时间:2022/11/14 0:00:00
修稿时间:2023/4/14 0:00:00

Effects of coastal kelp farming on the absorption characteristics of water in the Shandong Peninsula
JIANG Shan-shan,HUANG Hai-jun,DONG Yu-guo,LIU Yan-xi,YAN Li-wen,WANG Qi-fei,LI Bing.Effects of coastal kelp farming on the absorption characteristics of water in the Shandong Peninsula[J].Marine Sciences,2023,47(10):10-24.
Authors:JIANG Shan-shan  HUANG Hai-jun  DONG Yu-guo  LIU Yan-xi  YAN Li-wen  WANG Qi-fei  LI Bing
Institution:Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;University of Chinese Academy of Sciences, Beijing 100049, China;Huaneng Xiapu Nuclear Power Co., Ltd, Ningde 352000, China;Huaneng Shandong Shidao Bay Nuclear Power Co., Ltd, Weihai 264312, China
Abstract:To study how nearshore kelp aquaculture affects the optical characteristics of water bodies, the Heini Bay of the Shandong Peninsula was selected as a research area. Using synchronous observation data from nine stations from April to August 2021, the absorption characteristics of the total suspended, algal, and nonalgal particulate matter, as well as colored dissolved organic matter (CDOM), were analyzed, and the contribution of each component to the total absorption coefficient was calculated. In addition, a quasi-analytical algorithm was used to invert the total absorption coefficient of water using MODIS images, and the seasonal variation in the absorption characteristics of water in Heini Bay was obtained based on the measured data. The results show that the absorption coefficients of algal, nonalgal, and total suspended particulate matter, as well as that of CDOM in the surface water, are considerably higher during the kelp aquaculture season than during the no-kelp aquaculture season, and the total absorption coefficient of water is greater in kelp aquaculture areas than in no-kelp aquaculture areas during spring. The resuspension of surface sediment on the seabed results in a higher absorption coefficient of the bottom layer during the ripening period (spring), and kelp accumulates a large amount of organic matter, resulting in a higher absorption coefficient of algae particles in the middle depth water body. The shift in the reference wavelength toward the red light better estimates the absorption coefficient of the surface water in the study area based on the QAA_v5 algorithm. In addition, the water components were observed to affect the longer band characteristics during the kelp farming season. This study can provide a reference for an in-depth understanding of the effects of kelp aquaculture on the concentration and distribution of water components, carbon cycling, and the structure and function of aquatic ecosystems. Moreover, the findings of this study could help improve the remote-sensing inversion accuracy of nearshore water components.
Keywords:Heini Bay  kelp aquaculture  absorption properties  quasi-analytical algorithm  seasonal variation
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