Improvement of the ocean pollutant transport model by using the surface spline interpolation

A 3D hydrodynamic/pollutant transport model was used to simulate the currents and pollutant transport in coastal areas. The bathymetric and shoreline data was provided to the model via a GIS module that operates in the ArcView GIS environment. The module is efficient and capable of generating bathymetric rectangular grids and shorelines of different resolution for open and closed boundary scenarios that can automatically be read by the coastal model. This ability could improve the basic patterns and relationships of the model such as grid dependency. The functionality of the 3D model with the GIS module is illustrated in a number of coastal areas in Greece.

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Application of Surface Spline Interpolation Method in Parameter Estimation of a PM2.5 Transport Adjoint Model

Mathematical Problems in Engineering ◽

10.1155/2018/6231271 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Ning Li ◽

Xianqing Lv ◽

Jicai Zhang

Keyword(s):

Initial Conditions ◽

Interpolation Method ◽

Spline Interpolation ◽

Ground Level ◽

Linear Interpolation ◽

New Method ◽

Asia Pacific ◽

Adjoint Model ◽

Surface Spline ◽

Application Fields

A new method for the estimation of initial conditions (ICs) in a PM2.5 transport adjoint model is proposed in this paper. In this method, we construct the field of ICs by interpolating values at independent points using the surface spline interpolation. Compared to the traditionally used linear interpolation, the surface spline interpolation has an advantage for reconstructing continuous smooth surfaces. The method is verified in twin experiments, and the results indicate that this method can produce better inverted ICs and less simulation errors. In practical experiments, simulation results show good agreement with the ground-level observations during the 22nd Asia-Pacific Economic Cooperation summit period, demonstrating that the new method is effective in practical application fields.

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Risk assessment using stochastic modeling of pollutant transport in landfill clay liners

Water Science & Technology ◽

10.2166/wst.1999.0678 ◽

1999 ◽

Vol 39 (10-11) ◽

pp. 337-341 ◽

Cited By ~ 3

Author(s):

Irene M.-C. Lo ◽

Wendy K.-W. Law ◽

Helen M. Shen

Keyword(s):

Risk Assessment ◽

Monte Carlo Simulation ◽

Stochastic Modeling ◽

Transport Model ◽

Pollutant Transport ◽

Design Parameters ◽

Contaminant Concentration ◽

Clay Liners ◽

Clay Liner ◽

Advection Dispersion

Risk assessment of landfil systems using Monte Carlo simulation in the prediction of groundwater contamination underneath a landfill insulated by clay liner is presented. The advantage of applying stochastic modeling is that uncertainties associated with various design parameters can be taken into account in the prediction of pollutant transport through the clay liner. A model based on a pollutant transport model considering advection, dispersion and sorption is developed in this study. The design parameters with their corresponding distribution forms are fed into the simulation model. The probability of the contaminant concentration in the groundwater underneath the landfill exceeding a predetermined value is used for risk assessment.

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