Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea
Observations of ocean pollutants are usually spatiotemporally dispersive, while it is of great importance to obtain continuous distribution of ocean pollutants in a certain area. In this paper, a dynamically constrained interpolated methodology (DCIM) is proposed to interpolate surface nitrogen conc...
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doaj-5f6f8fb19836425e993b9c1aa620983f2020-11-25T01:18:27ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-07-011613240010.3390/ijerph16132400ijerph16132400Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai SeaQuanxin Zheng0Xiaona Li1Xianqing Lv2Key Laboratory of Physical Oceanography, Qingdao Collaborative Innovation Center of Marine Science and Technology (CIMST), Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Physical Oceanography, Qingdao Collaborative Innovation Center of Marine Science and Technology (CIMST), Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Physical Oceanography, Qingdao Collaborative Innovation Center of Marine Science and Technology (CIMST), Ocean University of China, Qingdao 266100, ChinaObservations of ocean pollutants are usually spatiotemporally dispersive, while it is of great importance to obtain continuous distribution of ocean pollutants in a certain area. In this paper, a dynamically constrained interpolated methodology (DCIM) is proposed to interpolate surface nitrogen concentration (SNC) in the Bohai Sea. The DCIM takes the pollutant transport advection diffusion equation as a dynamic constraint to interpolate SNCs and optimizes the interpolation results with adjoint method. Feasibility and validity of the DCIM are testified by ideal twin experiments. In ideal experiments, mean absolute gross errors between interpolated observations and final interpolated SNCs are all no more than 0.03 mg/L, demonstrating that the DCIM can provide convincing results. In practical experiment, SNCs are interpolated and the final interpolated surface nitrogen distribution is acquired. Correlation coefficient between interpolated and observed SNCs is 0.77. In addition, distribution of the final interpolated SNCs shows a good agreement with the observed ones.https://www.mdpi.com/1660-4601/16/13/2400surface nitrogen concentration (SNC)dynamically constrained interpolated methodology (DCIM)adjoint method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Quanxin Zheng Xiaona Li Xianqing Lv |
spellingShingle |
Quanxin Zheng Xiaona Li Xianqing Lv Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea International Journal of Environmental Research and Public Health surface nitrogen concentration (SNC) dynamically constrained interpolated methodology (DCIM) adjoint method |
author_facet |
Quanxin Zheng Xiaona Li Xianqing Lv |
author_sort |
Quanxin Zheng |
title |
Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea |
title_short |
Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea |
title_full |
Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea |
title_fullStr |
Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea |
title_full_unstemmed |
Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea |
title_sort |
application of dynamically constrained interpolation methodology to the surface nitrogen concentration in the bohai sea |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2019-07-01 |
description |
Observations of ocean pollutants are usually spatiotemporally dispersive, while it is of great importance to obtain continuous distribution of ocean pollutants in a certain area. In this paper, a dynamically constrained interpolated methodology (DCIM) is proposed to interpolate surface nitrogen concentration (SNC) in the Bohai Sea. The DCIM takes the pollutant transport advection diffusion equation as a dynamic constraint to interpolate SNCs and optimizes the interpolation results with adjoint method. Feasibility and validity of the DCIM are testified by ideal twin experiments. In ideal experiments, mean absolute gross errors between interpolated observations and final interpolated SNCs are all no more than 0.03 mg/L, demonstrating that the DCIM can provide convincing results. In practical experiment, SNCs are interpolated and the final interpolated surface nitrogen distribution is acquired. Correlation coefficient between interpolated and observed SNCs is 0.77. In addition, distribution of the final interpolated SNCs shows a good agreement with the observed ones. |
topic |
surface nitrogen concentration (SNC) dynamically constrained interpolated methodology (DCIM) adjoint method |
url |
https://www.mdpi.com/1660-4601/16/13/2400 |
work_keys_str_mv |
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