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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Main Authors: Quanxin Zheng, Xiaona Li, Xianqing Lv
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/16/13/2400
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spelling 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 AT quanxinzheng applicationofdynamicallyconstrainedinterpolationmethodologytothesurfacenitrogenconcentrationinthebohaisea
AT xiaonali applicationofdynamicallyconstrainedinterpolationmethodologytothesurfacenitrogenconcentrationinthebohaisea
AT xianqinglv applicationofdynamicallyconstrainedinterpolationmethodologytothesurfacenitrogenconcentrationinthebohaisea
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