Simple Pollution Transport Model with Parameterized Vertical Structure

2003 ◽  
pp. 45-53
Author(s):  
R. Dimitrova ◽  
K. Ganev
Keyword(s):  
Vertical Structure ◽  
Transport Model ◽  
Pollution Transport ◽  
Pollution Transport Model

A long-range air pollution transport model for eastern north america—I. Sulfur oxides

1984 ◽  
Vol 18 (11) ◽  
pp. 2345-2360 ◽  
Author(s):  
R.M. Endlich ◽  
K.C. Nitz ◽  
R. Brodzinsky ◽  
C.M. Bhumralkar
Keyword(s):  
Air Pollution ◽  
North America ◽  
Long Range ◽  
Transport Model ◽  
Sulfur Oxides ◽  
Eastern North America ◽  
Pollution Transport ◽  
Pollution Transport Model

Long-Term Calculations with a Comprehensive Nested Hemispheric Air Pollution Transport Model

2005 ◽  
pp. 185-196 ◽  
Author(s):  
Camilla Geels ◽  
Jørgen Brandt ◽  
Jesper H. Christensen ◽  
Lise M. Frohn ◽  
Kaj M. Hansen
Keyword(s):  
Air Pollution ◽  
Transport Model ◽  
Pollution Transport ◽  
Pollution Transport Model

A long-range air pollution transport model for eastern north America—II. Nitrogen oxides

1984 ◽  
Vol 18 (11) ◽  
pp. 2361-2366 ◽  
Author(s):  
R. Brodzinsky ◽  
B.K. Cantrell ◽  
R.M. Endlich ◽  
C.M. Bhumralkar
Keyword(s):  
Air Pollution ◽  
North America ◽  
Nitrogen Oxides ◽  
Long Range ◽  
Transport Model ◽  
Eastern North America ◽  
Pollution Transport ◽  
Pollution Transport Model

scholarly journals Monitoring Systems and Numerical Models to Study Coastal Sites

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1552 ◽  
Author(s):  
Elvira Armenio ◽  
Mouldi Ben Meftah ◽  
Diana De Padova ◽  
Francesca De Serio ◽  
Michele Mossa
Keyword(s):  
Hydrodynamic Model ◽  
Southern Italy ◽  
Oil Spills ◽  
Transport Model ◽  
Oil Pollution ◽  
Numerical Models ◽  
Circulation Pattern ◽  
Pollution Transport ◽  
Hydrodynamic Processes ◽  
Pollution Transport Model

The present work aims at illustrating how the joint use of monitoring data and numerical models can be beneficial in understanding coastal processes. In the first part, we show and discuss an annual dataset provided by a monitoring system installed in a vulnerable coastal basin located in Southern Italy, subjected to human and industrial pressures. The collected data have been processed and analysed to detect the temporal evolution of the most representative parameters of the inspected site and have been compared with recordings from previous years to investigate recursive trends. In the second part, to demonstrate to what extent such type of monitoring actions is necessary and useful, the same data have been used to calibrate and run a 3D hydrodynamic model. After this, a reliable circulation pattern in the basin has been reproduced. Successively, an oil pollution transport model has been added to the hydrodynamic model, with the aim to present the response of the basin to some hypothetical cases of oil spills, caused by a ship failure. It is evident that the profitable prediction of the hydrodynamic processes and the transport and dispersion of contaminants strictly depends on the quality and reliability of the input data as well as on the calibration made.

Incorporation of wind roses in a statistical long-range pollution transport model

1987 ◽  
Vol 36 (1-2) ◽  
pp. 115-130 ◽  
Author(s):  
Kevin B. Shipley ◽  
Edward A. McBean ◽  
G. J. Farquhar ◽  
James M. Byrne
Keyword(s):  
Long Range ◽  
Transport Model ◽  
Pollution Transport ◽  
Pollution Transport Model

scholarly journals Study on Total Control of Total Nitrogen in the Laizhou Bay

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2439
Author(s):  
Haohong Peng ◽  
Haoyi Geng ◽  
Xinyan Mao ◽  
Jie Shi ◽  
Xianqing Lv
Keyword(s):  
Total Nitrogen ◽  
Transport Model ◽  
Yellow River ◽  
Three Dimensional ◽  
Laizhou Bay ◽  
Pollution Transport ◽  
Pollution Levels ◽  
Run Off ◽  
Seawater Quality ◽  
Pollution Transport Model

Human activity imposes a stronger and increasing impact on the coastal environment by land-based discharge and run-off pollution inputs. Land-based total nitrogen (TN) pollution, as the main cause of eutrophication in the Laizhou Bay, China, should be controlled effectively. Based on a three-dimensional pollution transport model, 20 groups of allocation schemes were designed under the requirement that the allocations of three estuaries in the inner bay were adjusted properly, while the two estuaries in the outer bay, i.e., the Yellow River and the Jiehe River, were kept unchanged. The statistical results show that the area ratio of heavily polluted seawater to the entire Laizhou Bay reached the maximum (35.14%) when the load allocation of the Xiaoqinghe River accounted for a high proportion (65%), and the Yuhe River and the Jiaolaihe River accounted for 15% and 20%, respectively. Overall, the pollution levels of the Laizhou Bay were positively associated with the allocation of the Xiaoqinghe River. Reducing pollutant allocation in the Xiaoqinghe River contributed most to the improvement of the seawater quality of the entire Laizhou Bay, and it was followed by a reduction in the Yuhe River and the Jiaolaihe River.

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