文章摘要
官文江.渤、黄、东海海洋初级生产力的遥感估算[J].水产学报,2005,29(3):
渤、黄、东海海洋初级生产力的遥感估算
Estimation of ocean primary production by remote sensing in Bohai Sea, Yellow Sea and East China Sea
投稿时间:2014-03-13  修订日期:2014-03-13
DOI:
中文关键词: 海洋水色遥感 海洋初级生产力 模型
英文关键词: ocean color remote sensing  ocean primary production  model
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金
作者单位地址
官文江 华东师范大学地理系,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室 上海200062 华东师范大学地理系,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室,国家海洋局第二海洋研究所海洋动力过程与卫星海洋学重点实验室 上海200062
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中文摘要:
      通过对多年的东海、黄海南部实测海洋初级生产力与环境数据的分析,采用非线性最小二乘法,得到海洋初级生产力的遥感估算模型.利用从2000年1月-12月的SeaWiFS数据反演得到的叶绿素a浓度、透明度、辐照度数据,以及同期的NOAA数据反演得到的海表水温数据,通过该模型,提取出我国海区的海洋初级生产力的时空分布信息.结果表明,在东海、黄海和渤海初级生产力季节变化明显,在东海,最大初级生产力的月份为5月,最小月份为2月.而在黄海和渤海,最大初级生产力的月份为8月,最小月份为2月.在大洋区,初级生产力的季节变化相对较小.与相关的文献资料比较该模型能较好地反映渤、黄、东海的海洋初级生产力的时空分布信息及其变化情况.由于我国海区大部分是二类水体,水光学、水文特性比较复杂,叶绿素浓度等遥感产品的精度有待进一步的提高,叶绿素浓度及其剖面分布估算不准,对整个模式的精度影响很大.同时由于所用的实测数据及其分布区域、时间的限制,以及没有同步数据,对该模型的结果还要经过进一步的检验.
英文摘要:
      Based on historic in2situ ocean primary production data and other environment data from the southern Yellow Sea and East China Sea and consideration of the processes of phytoplankton photosynthesis , a ocean primary production model was developed through the nonlinear least square method. The fitted model was a function of the sea surface chlorophyll , sea surface irradiance , sea surface temperature and transparency. Since the mean chlorophyll concentration was closely related to surface chlorophyll concentration ( R = 0. 91 with data from 242 stations) within the euphotic layer , but neither the total chlorophyll concentration , nor the depth of the euphotic layer did , we introduced another parameter , the transparency which could be derived from SeaWiFS’s data to obtain the euphotic depth. The ocean primary production data could be derived from satellite2based data by our developed model without requiring other data as input. Comparing the model derived daily depth2integrated primary production to the measured one showed a very good result. The monthly distribution of ocean primary production in China Sea was computed using the developed model with chlorophyll , transparency and irradiance data derived from SeaWiFS from January to December in 2000 and the corresponding temperature data from NOAA214. The results showed that there were clear seasonal changes for the primary production in Bohai Sea , Yellow Sea and East China Sea. The primary production reached its highest in May and lowest in February in East China Sea , while it was high in August and low in February in Bohai Sea and Yellow Sea. Since we did not have the synchronous data to evaluate the accuracy of the derivation , this model needs to be examined and modified in the future with more available data.
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