scholarly journals Numerical Study on Initial Field of Pollution in the Bohai Sea with an Adjoint Method

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Chunhui Wang ◽  
Xiaoyan Li ◽  
Xianqing Lv

Based on the simulation of a marine ecosystem dynamical model in the Bohai Sea, routine monitoring data are assimilated to study the initial field of pollution by using the adjoint method. In order to reduce variables that need to be optimized and make the simulation results more reasonable, an independent grid is selected every four grids both in longitude and latitude, and only the pollutant concentrations of these independent grids needed to be optimized while the other grids were calculated by interpolation method. Based on this method, the stability and reliability of this model were proved by a set of twin experiments. Therefore, this model could be applied in real experiment to simulate the initial field of the total nitrogen (totalN) in May, 2009. Moreover, the distribution of totalN in any time step could be calculated by this model, and the monthly mean distribution in May in the Bohai Sea could be obtained.

2013 ◽  
Vol 321-324 ◽  
pp. 252-258
Author(s):  
Chun Hui Wang ◽  
You Li Shen ◽  
Xian Qing Lv

Based on the simulation of a marine ecosystem dynamical model in the Bohai Sea, pseudo observations are assimilated to study the initial field of chemical oxygen demand (COD) by using the adjoint method. The three-dimension Princeton Ocean Model (POM) is used to calculate the ambient physical velocities, and only four tidal components (M2, S2, K1 and O1) are taken into account. First a prescribed initial distribution of COD is given. Run the forward model and we can pickup some pseudo observations. Then a set of twin experiments were designed to validate the inversion capability of this ecosystem dynamical model. It was discovered that no matter which form the initial field was, the adjoint method could reduce the misfit between inversion results and observations significantly, indicating that this model was stable and reliable. Therefore, this model could be applied in real experiment to simulate the initial field of COD in the Bohai Sea in future.


2012 ◽  
Vol 518-523 ◽  
pp. 1321-1324 ◽  
Author(s):  
An Ning Suo ◽  
Xu Bin Pan ◽  
Jian Hua Zhao ◽  
Yong Hai Yu

Since 1988, great changes of primary production, pollutants loading, coastline and sea area have happened in the Bohai Sea in China. These environmental changes increased the value of marine ecosystem services value from 529.42 billion RMB in 1988 to 558.83 billion RMB in 2010. The ecosystem services values of recreation, food and materials production, O2 supply, climate regulation and primary productivity were raised. However, other marine ecosystem services value, including biological control, pollutant purification, knowledge broaden and biodiversity protection were lowered. In addition, value of ecosystem services increased in Liaodong Bay and Bohai Bay, but decreased in middle Bohai and Bohai strait, and it no change in Laizhou Bay,.This spatial difference of ecosystem service function value was mainly caused by the change of recreation function, O2 supply function and climate regulation function.


1967 ◽  
Vol 48 (8) ◽  
pp. 514-551 ◽  
Author(s):  
George W. Platzman

In 1922 Lewis F. Richardson published a comprehensive numerical method of weather prediction. He used height rather than pressure as vertical coordinate but recognized that a diagnostic equation for the vertical velocity is a necessary corollary to the quasi-static approximation. His vertical-velocity equation is the principal, substantive contribution of the book to dynamic meteorology. A comparison of Richardson's model with one now in operational use at the U. S. National Meteorological Center shows that, if only the essential attributes of these models are considered, there is virtually no fundamental difference between them. Even the vertical and horizontal resolutions of the models are similar. Richardson made a forecast at two grid points in central Europe and obtained catastrophic results, in particular a surface pressure change of 145 mb in 6 hours. This failure resulted partly, as Richardson believed, from inadequacies of upper wind data. Underlying this was a more fundamental difficulty which he did not seem to recognize clearly at the time he wrote his book: the impossibility of using observed winds to calculate pressure change from the pressure-tendency equation, a principle stated many years earlier by Margules. However, he did point in the direction in which a remedy was later found: suppression or smoothing of the initial field of horizontal velocity divergence. The 6-hr time interval used by Richardson violates the condition for computational stability, a constraint then unknown. It is sometimes said that this is one of the reasons his calculation failed, but that interpretation is misleading because the stability criterion becomes relevant only after several time steps have been made. Since Richardson did not go beyond a calculation of initial tendencies—in other words, he took only one time step—violation of the stability criterion had no effect on the result. Richardson's book surely must be recorded as a major scientific achievement. Nevertheless, it appears to have had little influence in the decades that followed, and indeed, the modern development of numerical weather prediction, which began about twenty-five years later, did not evolve primarily from Richardson's work. Shaw said it would be misleading to regard the book as “a soliloquy on the scientific stage,” but in fact that is what it proved to be. The intriguing problem of explaining this strange irony is one that leads beyond the obvious facts that when Richardson wrote, computers were nonexistent and upper-air data insufficient.


2001 ◽  
Vol 19 (2) ◽  
pp. 97-102 ◽  
Author(s):  
Bao-shu Yin ◽  
Yi-jun Hou ◽  
Ming-hua Cheng ◽  
Jing-zhi Su ◽  
Ming-xiang Lin ◽  
...  

2016 ◽  
Vol 8 (1) ◽  
pp. 100-117 ◽  
Author(s):  
Xiujuan Shan ◽  
Xianshi Jin ◽  
Fangqun Dai ◽  
Yunlong Chen ◽  
Tao Yang ◽  
...  

2018 ◽  
Vol 42 (1) ◽  
pp. 46-63 ◽  
Author(s):  
Yifei Zhao ◽  
Zengan Deng ◽  
Ting Yu ◽  
Hu Wang

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