基于遥感与实测资料的河流有机碳通量估算研究
[Abstract]:Rivers connect the Earth's two largest carbon pools, terrestrial and marine ecosystem carbon pools. Global rivers can transport about 219.50 Under the influence of many factors such as natural changes and human activities, the fluxes of organic carbon in rivers have remarkable spatial-temporal variations, which increase the difficulty of fluxes monitoring and estimation. Most of the studies on transport focus on the Continental Rivers in Europe and America. These rivers accumulate long time series of organic carbon (DOC, POC) observations. However, there are few reports on the transport of organic carbon in Asian rivers under the influence of East Asian monsoon, and there is no study on the spatial variability of the transport of organic carbon in different rivers and the temporal variability of the same river. The spatial variability of the organic carbon fluxes in the inbound rivers of the mainland of China was analyzed based on the measured data and the basin characteristics of the inbound rivers. The long time series of organic carbon fluxes over the Yangtze River are estimated and the effects of river basin characteristics on the temporal and spatial variability of organic carbon transport in the Yangtze River are discussed, which lays a foundation for further estimating the global fluxes of organic carbon transport in rivers. Based on the analysis of DOC data and basin characteristic data of different inbound rivers in mainland China, an estimation model of annual average DOC concentration and POC concentration of inbound rivers in mainland China was established. The annual DOC flux and POC flux of different inbound rivers in mainland China were estimated in 2010. The DOC and POC of 5.05 TgC and 7.00 TgC were transported by the Yangtze River, of which 34.65% and 42.43% were transported by the Yangtze River. (2) Estimation of DOC flux in the Yangtze River (section of Datong Hydrological Station). Taking discharge, area ratio of cultivated land and total primary productivity as independent variables, a multi-layer feedback neural network model for estimating DOC concentration in the Yangtze River Datong Hydrological Station was constructed. The monthly DOC flux of Datong Hydrological Station in the Yangtze River from 2000 to 2013 was estimated. From 2000 to 2013, the monthly DOC flux of Datong Hydrological Station in the Yangtze River ranged from 3.88 to 42.78 Estimation of POC flux in river (section of Datong Hydrological Station). Based on optical-chemical synchronous observation data and bio-optical model simulation data of Datong Hydrological Station, a remote sensing algorithm of POC concentration suitable for Landsat data (spatial resolution 30 m) is constructed. Based on the data of TM/Landsat-5 and ETM+/Landsat-7 from 2000 to 2016, the monthly POC flux of Datong was estimated. From 2000 to 2016, the monthly POC flux of Changjiang Datong ranged from 1.4 to 52.04 *104tC, with an average value of 13.04 +7.17 *104tC/month. There was a significant positive correlation between the monthly POC flux and the flow. (4) Estimation of POC flux in the Yangtze Estuary (section of Xuliujing Hydrological Station). Based on synchronous optical-chemical measurements in the Yangtze Estuary, a remote sensing algorithm of POC concentration suitable for GOCI data (spatial resolution 500 m) was constructed. In the estuary of the Yangtze River, there is a significant positive correlation between the concentration of POC and the concentration of TSM; the distribution of the flow profile in Xuliujing section is a linear function, and the distribution of the POC concentration profile is an exponential function. The average monthly POC flux is 7.14 *104 tC, which is 44.58% higher than that of Datong POC. The complex hydrodynamic environment (tide, wind) and particle resuspension in the Yangtze Estuary will increase the POC flux in this area, and the increasing effect is more obvious in winter. (5) Time variation and regional characteristics of organic carbon transport in the Yangtze River (section of Datong Hydrological Station) Based on the long time series of remote sensing data of DOC (POC) monthly flux and watershed characteristics, it is found that the concentration of DOC in Datong is characterized by "low wet season, high dry season" (wet season from May to October), and the average concentration of DOC in dry season is 1.14 times of that in wet season. The seasonal variation of POC concentration in Datong is gradually weakening after the normal operation of the Three Gorges Dam. Due to the regulation of discharge, DOC and POC fluxes are both characterized by high wet season and low dry season. In the wet season, POC flux averaged 75.01% of the total annual flux. During 2000-2013, the DOC concentration and DOC flux of Datong in the Yangtze River did not change significantly, but in 2000-2016, the POC concentration and POC flux of Datong in the Yangtze River decreased exponentially. The long time series of organic carbon flux in the Yangtze River and the temporal and spatial variability of organic carbon transport in the mainland of China are analyzed.
【学位授予单位】:浙江大学
【学位级别】:博士
【学位授予年份】:2017
【分类号】:X143
【参考文献】
相关期刊论文 前10条
1 杨云平;李义天;孙昭华;樊咏阳;;长江口最大浑浊带悬沙浓度变化趋势及成因(英文)[J];Journal of Geographical Sciences;2014年01期
2 吴凯;;海洋溶解有机碳循环简介[J];科技资讯;2013年08期
3 LIU Qiong;PAN Delu;BAI Yan;WU Kai;CHEN Chen-Tung Arthur;SUN Jun;ZHANG Lin;;The satellite reversion of dissolved organic carbon (DOC) based on the analysis of the mixing behavior of DOC and colored dissolved organic matter: the East China Sea as an example[J];Acta Oceanologica Sinica;2013年02期
4 潘德炉;刘琼;白雁;;DOC遥感研究进展——基于全球大河DOC与CDOM保守性特征[J];海洋学报(中文版);2012年04期
5 张永领;;河流有机碳循环研究综述[J];河南理工大学学报(自然科学版);2012年03期
6 丛丕福;曲丽梅;韩庚辰;杨新梅;;海洋颗粒有机碳的遥感探测与应用分析[J];海洋环境科学;2012年02期
7 李俊鹏;郭英燕;张亚雷;周雪飞;;河流中有机碳的环境效应及其研究方法概述[J];四川环境;2011年06期
8 ;Carbon distribution and fluxes of 16 rivers discharging into the Bohai Sea in summer[J];Acta Oceanologica Sinica;2011年03期
9 冯龙庆;时志强;潘剑君;殷燕;张运林;刘明亮;;太湖冬季有色可溶性有机物吸收荧光特性及遥感算法[J];湖泊科学;2011年03期
10 刘良明;祝家东;;海洋水色遥感器发展趋势初探[J];遥感信息;2011年02期
相关博士学位论文 前1条
1 鲍颖;全球碳循环过程的数值模拟与分析[D];中国海洋大学;2011年
相关硕士学位论文 前1条
1 林晶;长江口及其毗邻海区溶解有机碳和颗粒有机碳的分布[D];华东师范大学;2007年
,本文编号:2199327
本文链接:https://www.wllwen.com/shoufeilunwen/gckjbs/2199327.html