A COMPARISON OF NUMERICAL-METHODS FOR SOLVING THE ADVECTION EQUATION .2.

被引:38
作者
CHOCK, DP
机构
关键词
D O I
10.1016/0004-6981(85)90036-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Five algorithms and their variations for solving the advection equation were compared in terms of their accuracy, speed and storage requirements. The algorithms are a chapeau-function method including mass-lumping, Forester''s method, a method called Filtering Remedy and Methodology, a Hermite-cubic orthogonal-collocation method and a quadratic function method. The test problem was the rotation of a cosine-shaped hill of concentration in a 2-dimensional circular velocity field at 3 different time increments (or angular velocities). The forward-Euler time-integration scheme coupled with a balancing diffusion term was extensively used and was found to be superior to the Crank-Nicolson scheme in accuracy for the methods considered. Together with the results of part I (Atmospheric Environment 1983), Forester''s method applied to the chapeau-function solution appears to be the best method for solving the advention equation in air-pollution modeling. The combined method retains the peak value well, has high accuracy with little or no negative concentration region, and requires short execution time and minimal memory storage.
引用
收藏
页码:571 / 586
页数:16
相关论文
共 50 条
[41]   COMPARISON OF 4 NUMERICAL-METHODS FOR FLOOD ROUTING [J].
CUNGE, JA ;
LIGGETT, JA .
JOURNAL OF THE HYDRAULICS DIVISION-ASCE, 1975, 101 (NHY4) :431-434
[42]   PERTURBATIVE NUMERICAL-METHODS TO SOLVE THE SCHRODINGER-EQUATION [J].
IXARU, LG .
COMPUTER PHYSICS COMMUNICATIONS, 1980, 20 (01) :97-112
[43]   COMPARISON OF NUMERICAL-METHODS FOR RENAL NETWORK FLOWS [J].
MEJIA, R ;
KELLOGG, RB ;
STEPHENSON, JL .
JOURNAL OF COMPUTATIONAL PHYSICS, 1977, 23 (01) :53-62
[44]   Parallel numerical algorithm for solving advection equation for coagulating particles [J].
Matveev, Sergey A. ;
Zagidullin, Rishat R. ;
Smirnov, Alexander P. ;
Tyrtyshnikov, Eugene E. .
Supercomputing Frontiers and Innovations, 2018, 5 (02) :43-54
[45]   NUMERICAL-METHODS FOR SOLVING DIFFERENTIAL-EQUATIONS WITH INADEQUATE DATA [J].
CHEN, YM ;
LEE, DTS .
JOURNAL OF COMPUTATIONAL PHYSICS, 1981, 42 (02) :238-256
[46]   OPTIMAL HARVESTING OF A RANDOMLY FLUCTUATING RESOURCE .2. NUMERICAL-METHODS AND RESULTS [J].
LUDWIG, D ;
VARAH, JM .
SIAM JOURNAL ON APPLIED MATHEMATICS, 1979, 37 (01) :185-205
[47]   NUMERICAL-METHODS [J].
GANDHI, OP .
ELECTROMAGNETIC BIOINTERACTION: MECHANISMS, SAFETY STANDARDS, PROTECTION GUIDES, 1989, :193-214
[48]   STABILITY OF NUMERICAL-METHODS FOR SOLVING STOCHASTIC DIFFERENTIAL-EQUATIONS [J].
ARTEMEV, SS .
SIBERIAN MATHEMATICAL JOURNAL, 1994, 35 (06) :1070-1074
[49]   Deep learning solver for solving advection-diffusion equation in comparison to finite difference methods [J].
Salman, Ahmed Khan ;
Pouyaei, Arman ;
Choi, Yunsoo ;
Lops, Yannic ;
Sayeed, Alqamah .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2022, 115
[50]   COMPARISON OF 2 NUMERICAL-METHODS FOR THE INTEGRATION OF THE TAKAGI-TAUPIN EQUATIONS [J].
NOURTIER, C ;
TAUPIN, D .
JOURNAL OF APPLIED CRYSTALLOGRAPHY, 1981, 14 (DEC) :432-436