LAMPIRAN
Lampiran 1 Kapal nelayan yang digunakan untuk pengambilan data akustik pada
sistem
single beam
Lampiran 3 Alat pengukur parameter fisik sedimen di Laboratorium Fisika Tanah
Balai Penelitian Tanah, Bogor
Shaker
(ASTM E-11, USA standart)
Oven pengering Timbangan
Lampiran 4 Foto tipe substrat dasar perairan di lokasi penelitian Kepulauan
Seribu
Substrat pasir
Substrat pasir berlanau
Lampiran 5 Listing program Matlab untuk menampilkan
echogram
,
acoustic
backscattering strength
, dan
echo level
%% PROGRAM MATLAB %%
% PENGOLAHAN DATA AKUSTIK CRUZPRO FISHFINDER % % FPIK ITK IPB 2012 %
%% Rumusan Dasar %% % EL=SL-2TL+TS+2DI % EL= SL-2*(20LOG10(RR)-2(alp)(RR))+TS+2DI % SL=10*log10(p) % p=((rho*C*Pa*Sig*DI)/4*phi)) % Pe=v^2/R % k = 2*phi*F/C % V = phi*(r^2)*t %% Memasukan variabel %% % a= 0.045; % Pa = 53.9; %v = 12; %R = v/15; % hambatan %r = 0.5; %t = 1; %phi=3.14;
%Sound Speed formula% % C=1404.3+4.7T-0.04T^2
%% Memasukan variabel %%
C=1546.8; % Kec. Suara dlm air laut Formula Medwin F=200000; % Frekwensi Transducer Cruzpro 200 khz a=0.045; % Diameter Lingkaran Transducer
phi=3.14;
ld= C/F; % Lamda, panjang gelombang suara t=0.004; % Tau (Pulse Length)
r=r; % Jarak target dari permukaan transducer pada tiap sta.(m) %rho=1000; %Vreff=6.5043e-004; % beamwidth beamwidth=20*log10(ld/2*phi*a)+7.7;%Urick,1983 hal.243 %% Perhitungan Variabel %% %k =2*phi*F/C ; %DI=(k*a)^2; %Pe=v^2/R; %Sig=(Pa/Pe)*0.01; %p=(((rho*C*Pa*Sig*DI)/4*phi)^0.5); %% Perhitungan Variabel Akustik %% %Kecepatan suara medwin
%% Parameter Instrumen %%
%---% AG0=-53.78; % amplifier gain
SL=163; % Source Level 200 kHz RS2=-173; % Receiving sensitivity 50 kHz %AGTR=10^(AG0/10); %RSTR=10^(RS/10); %KTRlin=AGTR*RSTR; %KTR=20*log10(KTRlin);
alpha=0.06971; % koef absorpsi untuk 200 kHz [Formula Schulkin dan Marsh, Urick hal.105]
TL=20*log10(r)+alpha*r;
% count=12; % contoh count
makscount=255; % 8 bit
% VR=20*log10((count)/makscount));
jumrec=1; % jumlah receiver
AVG=20*log10(jumrec); % array voltage gain
%% Perhitungan Parameter Akustik %%
%% load data melalui workspace %%
%% Surface Backscattering Strength (SS) %%
xx=sbst10x28I204141546i0x290x2810x2E780x29; %% inisialisasi data
ke variabel aa=xx(1:size(xx,1),18:size(xx,2)); aaa=rot90(aa); VR=20*(log10((aaa)/makscount)); SS=-RS-SL+2*TL+VR-AVG+AG0;
%% Reverberation Level RL (Urick 1983) %%
RL=SL-2*TL+SS+10*log10(beamwidth)+10*log10(C*t/2)+10*log10(r); %% Volume Backscattering Strength (SV) %%
% SV=10*log10(dens)+TS
%SV=RL-SL+2*TL-10*log10(beamwidth)-10*log10(C*t/2)-10*log10(r^2); %% SV,Furusawa %%
%SV=VR+20*log10(r)+2*r*(alpha/1000)-65-10*log10(C*t/2)+19.1;
SV=RL-SL+2*TL-10*log10(beamwidth)-10*log10(C*t/2)-10*log10(r^2);
%% Rata-rata Surface Backscattering Strength (SSr)%%
NN=size(aa,2); NNN=NN-11; ff=aa(:,1:NNN); hh=mean(ff); VR1=20*(log10((hh)/makscount)); SSr=-RS-SL+2*TL+VR1-AVG+AG0; %% Rata-rata RL %% RLr=SL-2*TL+SSr+10*log10(beamwidth)+10*log10(C*t/2)+10*log10(r);
% SVr=RLr-SL+2*TL-10*log10(beamwidth)-10*log10(C*t/2)-10*log10(r^2); SVr=SSr-10*log10(C*tau/2) %% Echo Level %% EL=SL-2*TL+SS; ELr=SL-2*TL+SSr; %EL=SL-30*log10(r)-2*alpha*r+10*log10(phi*C*t)+SS;
%% Rata rata Echo Level (ELr) %%
%ELr=SL-30*log10(r)-2*alpha*r+10*log10(phi*C*t)+SSr; %% Matrik Kedalaman %% lamda=3*(C/F); range=([1:size(aaa,1)]); N=length(range); dpt=(0:lamda:length(aaa))'; Y=dpt(1:N); YX=Y+1; YY=sort(YX,1,'descend'); X=[1:1:length(aaa)]; XX=[1:1:length(ff)]; N1=length(hh); dpt1=(0:lamda:length(hh))'; Y1=dpt1(1:N1); YX1=Y1+1; YY1=sort(YX1,1,'ascend'); X1=[1:1:length(hh)]; time=X(1:1:length(hh)); %% Figure 1 %%
figure('Name','Time Series of Surface Scattering Strength','NumberTitle','on')
imagesc(X,YY,SS);
colorbar('location','EastOutside')
Title ('Grafik Time Series of Surface Backscattering Strength ( SS(dB) ) Stasion 1 ')
ylabel('Depth (m)') xlabel('Time (s)')
%% Figure 2 %%
figure('Name','Time Series of Volume Scattering Strength','NumberTitle','on')
imagesc(X,YY,SV);
colorbar('location','EastOutside')
Title ('Grafik Time Series of Volume Backscattering Strength ( SV(dB))
Stasion 1 ')
ylabel('Depth (m)') xlabel('Time (s)')
%% figure 3 %%
figure('Name','Intensitas Acoustic Backscattering Strength Vs Depth')
plot(YY1,SSr,'-r',YY1,SVr,'-') h = legend('SSr','SVr',2); set(h,'Interpreter','none')
Title ('Substrat Sta 1')
ylabel('Intensitas Acoustic Backscattering Strength (dB)') xlabel('Depth (m)')
grid on
%% figure 4 %%
figure('Name','Echo Level(dB)Vs Time') plot(time,ELr,'-')
Title ('Substrat Sta1') ylabel('Echo Level(dB)') xlabel('Time (s)')
grid on
Lampiran 6 Tampilan
echogram
volume backscattering strength
(lanjutan)
Stasiun 1
Stasiun 2
Stasiun 8
Lampiran 7 Tampilan
echogram
surface backscattering strength
(lanjutan)
Stasiun 1
Stasiun 2
Stasiun 8
Lampiran 8 Tampilan grafik
echo level
(lanjutan)
Stasiun 1
Stasiun 2
Stasiun 3
Stasiun 4
0 2 4 6 8 10 12 14 16 18 20 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s) 10 12 14 16 18 20 22 24 26 28 30 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s) 5 10 15 20 25 115 120 125 130 135 140 E cho Lev el (dB ) Time (s) 5 10 15 20 25 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s)Lampiran 8
(lanjutan)
Stasiun 5
Stasiun 6
Stasiun 7
5 10 15 20 25 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s) 5 10 15 20 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s) 2 4 6 8 10 12 14 16 18 20 115 120 125 130 135 140 E c ho Lev el (dB ) Time (s)Lampiran 9 Tampilan pola
SV
dan
SS
pada stasiun pengamatan
(lanjutan)
Stasiun 1
Stasiun 2
Stasiun 8
Stasiun 9
1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 -40 -35 -30 -25 -20 -15 Depth (m) A cous tic B ac ks cat ter ing S tr engt h ( dB ) SSr SVr 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 -40 -35 -30 -25 -20 -15 Depth (m) A cous tic B ac ks cat ter ing S tr engt h ( dB ) SSr SVr 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 -45 -40 -35 -30 -25 -20 -15 Depth (m) A c ous ti c B ac k s c at ter ing S tr engt h ( dB ) SSr SVr 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 -45 -40 -35 -30 -25 -20 -15 Depth (m) A c ous ti c B ac k s c at ter ing S tr engt h ( dB ) SSr SVrLampiran 10
Cluster
data parameter sedimen
Cluster Analysis of Observations: Pasir; Lumpur; Liat; Densitas; Porositas;
Pearson Distance, Average Linkage Amalgamation Steps
Number Number of obs. of Similarity Distance Clusters New in new Step clusters level level joined cluster cluster 1 8 91,7826 0,54544 1 2 1 2 2 7 87,4424 0,83353 7 9 7 2 3 6 83,6024 1,08842 1 7 1 4 4 5 81,3915 1,23516 3 4 3 2 5 4 65,9884 2,25757 1 6 1 5 6 3 52,7363 3,13720 1 3 1 7 7 2 40,1782 3,97076 5 8 5 2 8 1 24,5936 5,00521 1 5 1 9 Final Partition Number of clusters: 1
Within Average Maximum cluster distance distance Number of sum of from from observations squares centroid centroid Cluster1 9 2600,98 13,5540 34,6198
Lampiran 11
Cluster
data parameter akustik
Cluster Analysis of Observations: SV; SS; EL
Manhattan Distance, Average Linkage Amalgamation Steps
Number Number of obs. of Similarity Distance Clusters New in new Step clusters level level joined cluster cluster 1 8 88.3671 1.6100 7 9 7 2 2 7 86.1272 1.9200 4 5 4 2 3 6 81.3584 2.5800 1 2 1 2 4 5 77.9624 3.0500 3 4 3 3 5 4 69.2919 4.2500 1 6 1 3 6 3 63.4995 5.0517 3 7 3 5 7 2 60.3902 5.4820 1 3 1 8 8 1 19.2106 11.1813 1 8 1 9 Final Partition Number of clusters: 1
Within Average Maximum cluster distance distance Number of sum of from from observations squares centroid centroid Cluster1 9 84.8357 2.69497 5.84438
