function [y] = environ(xx, s, t)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ENVIRONMENTAL MODEL FUNCTION
%
% Authors: Sonja Surjanovic, Simon Fraser University
% Derek Bingham, Simon Fraser University
% Questions/Comments: Please email Derek Bingham at dbingham@stat.sfu.ca.
%
% Copyright 2013. Derek Bingham, Simon Fraser University.
%
% THERE IS NO WARRANTY, EXPRESS OR IMPLIED. WE DO NOT ASSUME ANY LIABILITY
% FOR THE USE OF THIS SOFTWARE. If software is modified to produce
% derivative works, such modified software should be clearly marked.
% Additionally, this program is free software; you can redistribute it
% and/or modify it under the terms of the GNU General Public License as
% published by the Free Software Foundation; version 2.0 of the License.
% Accordingly, this program is distributed in the hope that it will be
% useful, but WITHOUT ANY WARRANTY; without even the implied warranty
% of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
% General Public License for more details.
%
% For function details and reference information, see:
% http://www.sfu.ca/~ssurjano/
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OUTPUT AND INPUTS:
%
% y = row vector of scaled concentrations of the pollutant at the
% space-time vectors (s, t)
% Its structure is:
% y(s_1, t_1), y(s_1, t_2), ..., y(s_1, t_dt), y(s_2, t_1), ...,
% y(s_2,t_dt), ..., y(s_ds, t_1), ..., y(s_ds, t_dt)
% xx = [M, D, L, tau]
% s = vector of locations (optional), with default value
% [0.5, 1, 1.5, 2, 2.5]
% t = vector of times (optional), with default value
% [0.3, 0.6, ..., 50.7, 60]
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
M = xx(1);
D = xx(2);
L = xx(3);
tau = xx(4);
if (nargin < 3)
t = [0.3:0.3:60];
end
if (nargin < 2)
s = [0.5, 1, 1.5, 2, 2.5];
end
ds = length(s);
dt = length(t);
dY = ds * dt;
Y = zeros(ds, dt);
% Create matrix Y, where each row corresponds to si and each column
% corresponds to tj.
for (ii = 1:ds)
si = s(ii);
for (jj = 1:dt)
tj = t(jj);
term1a = M / sqrt(4*pi*D*tj);
term1b = exp(-si^2 / (4*D*tj));
term1 = term1a * term1b;
term2 = 0;
if (tau < tj)
term2a = M / sqrt(4*pi*D*(tj-tau));
term2b = exp(-(si-L)^2 / (4*D*(tj-tau)));
term2 = term2a * term2b;
end
C = term1 + term2;
Y(ii, jj) = sqrt(4*pi) * C;
end
end
% Convert the matrix into a vector (by rows).
Yrow = Y';
y = Yrow(:)';
end