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Adib_12.m
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Adib_12.m
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%% %Purpose
%To plot daily Z/G and geomagnetic indices temporal evolution with
%daily segmentation period, taking during nighttime data only (time can be set)
%Include monthly trend removal
%Calculate azimuthal angle and amplitude of anomalies by assigning
%different colors for different earthquakes
%OPTIONAL:
%-Inspect raw data
resall;
%% %Place and time inputs
stn='CEB'; %Abbreviation of station name
date_start=[2011,11,01]; %Insert custom start and end dates
date_end= [2012,03,01]; %Period spanning through 3 consecutive years is the maximum
%% %Customization
mag_min=5.0; %Minimum magnitude of earthquakes to be considered
dis_max=180; %Maximum epicentral distance from the station
depth_max=201; %Maximum hypocentral depth
%Frequency channels
f_1=0.0067;
f_2=0.0100;
f_3=0.0100;
f_4=0.0220;
f_5=0.0220;
f_6=0.0500;
f_7=0.0500;
f_8=0.1000;
%ZG operation
ZG_oper='Z*(Z-G)'; %Write in form of string, e.g.: 'Z/G','Z-G','Z*(Z-G)' etc
%Nighttime setup
LT_start=03;
LT_end=03;
%Frequency band for azimuthal angle
azim_angle='Band'; %'Band' to set it the same with bands or enter any number, e.g: '0.36' for 0.36 Hz
%Moving averaging
movmean_val1=1; %Moving mean of Z_norm and G_norm. e.g: 1 day moving mean=86400/N_seg
movmean_val2=1; %Moving mean of ZG. e.g: 1 day moving mean=86400/N_seg
%Normalization on raw data
norm_type1='eq'; %'mo'=monthly, 'eq'=equal or 'no'=no normalization
norm_method1='zscore'; %'zscore'=z-score mean and std, 'norm'=p-norm, 'range'=range [0 1]
%Normalization before ratio calculation
norm_type2='eq'; %'mo'=monthly, 'eq'=equal or 'no'=no normalization
norm_method2='zscore'; %'zscore'=z-score mean and std, 'norm'=p-norm, 'range'=range [0 1]
%Power ratio calculation threshold
Zpowrat_thres='Off'; %'All'=allow all,'Off'=block all, 'Median', 'Median+IQR', 'Mean','Mean+STD' or any number like '0.15','0.12' etc
Gpowrat_thres='All'; %'All'=allow all,'Off'=block all, 'Median', 'Median+IQR', 'Mean','Mean+STD' or any number like '0.15','0.12' etc
%% %Time period
date_start1=datenum(horzcat(date_start,[0,0,0]));
date_end1=datenum(horzcat(date_end,[23,59,59]));
datenum_start=datenum(date_start);
datenum_end=datenum(date_end);
days_num=datenum_end-datenum_start+1;
days_vec=datetime(datevec(datenum_start:1:datenum_end),'Format','dd/MM/yyyy');
if date_start(1)==date_end(1)
year=string(date_start(1));
else
year=sprintf('%s-%s',string(date_start(1)),string(date_end(1)));
end
load VARIABLES_WORLD
j=date_start(1);
for i=1:3
year_vec(1,i)=j;
if j==date_end(1)
break
end
j=j+1;
end
%% %Loading files
if numel(year_vec)==1
matname=strcat(stn,string(year_vec(1)),'S');
load(matname);
end
if numel(year_vec)==2
matname(1)=strcat(stn,string(year_vec(1)),'S');
matname(2)=strcat(stn,string(year_vec(2)),'S');
A=load(matname(1));
B=load(matname(2));
H=vertcat(A.H,B.H);
D=vertcat(A.D,B.D);
Z=vertcat(A.Z,B.Z);
UT1m=horzcat(A.UT1m,B.UT1m);
end
if numel(year_vec)==3
matname(1)=strcat(stn,string(year_vec(1)),'S');
matname(2)=strcat(stn,string(year_vec(2)),'S');
matname(3)=strcat(stn,string(year_vec(3)),'S');
A=load(matname(1));
B=load(matname(2));
C=load(matname(3));
H=vertcat(A.H,B.H,C.H);
D=vertcat(A.D,B.D,C.D);
Z=vertcat(A.Z,B.Z,C.Z);
UT1m=horzcat(A.UT1m,B.UT1m,C.UT1m);
end
%% %Station setting
for i=1:length(stn_MAGDAS)
if strcmp(stn,stn_vec(i))
stn_num=i;
station=string(station_vec(i,1));
region=string(station_vec(i,2));
break;
end
end
stn_latlon=[stn_MAGDAS(stn_num,2:3)];
%% %Building earthquakes table
EQ_table=NaN(1,11);
j=1;
for i=1:length(EQ_WORLD)
if datenum(EQ_WORLD(i,1:6))>=datenum_start && datenum(EQ_WORLD(i,1:6))<=datenum_end
EQ_table(j,:)=EQ_WORLD(i,:);
j=j+1;
end
if datenum(EQ_WORLD(i,1:6))>datenum_end
break
end
end
i=1;
EQ_sel=NaN(1,11);
for j=1:size(EQ_table,1)
if EQ_table(j,10)>=mag_min
EQ_latlon=[EQ_table(j,7:8)];
EQ_dis=deg2km(distance('gc',stn_latlon,EQ_latlon));
EQ_time=datenum(EQ_table(j,1:6));
EQ_mag=EQ_table(j,10);
EQ_Ks=(10^(0.75*EQ_mag))/(EQ_dis+100);
EQ_depth=EQ_table(j,9);
EQ_angle=azimuth('gc',stn_latlon(1:2),EQ_latlon(1:2),'degree');
if EQ_dis<=dis_max && EQ_depth<=depth_max
EQ_sel(i,1)=EQ_time;
EQ_sel(i,2)=EQ_dis;
EQ_sel(i,3)=EQ_mag;
EQ_sel(i,4)=EQ_Ks;
EQ_sel(i,5)=EQ_depth;
EQ_sel(i,6:7)=EQ_latlon;
EQ_sel(i,8)=EQ_angle;
i=i+1;
end
end
end
colpal=jet(size(EQ_sel,1));
EQ_sel(:,9:11)=colpal;
%% %Geomagnetic data pre-processing
data_start=round(min(UT1m));
data_end=floor(max(UT1m));
day_start=datenum_start-data_start+1;
day_end=floor(datenum_end)-data_start+1;
datenum_vec=datenum_start:datenum_end;
UT1m_sel=datevec(UT1m(86400*day_start-86399:86400*day_end));
H_dn=H(86400*day_start-86399:86400*day_end);
D_dn=D(86400*day_start-86399:86400*day_end);
Z_dn=Z(86400*day_start-86399:86400*day_end);
G_dn=sqrt(H_dn.^2+D_dn.^2);
%Removing noise/outlier
for i=1:3
H_dn=medfilt1(H_dn,30,'omitnan','truncate');
D_dn=medfilt1(D_dn,30,'omitnan','truncate');
Z_dn=medfilt1(Z_dn,30,'omitnan','truncate');
G_dn=medfilt1(G_dn,30,'omitnan','truncate');
end
for i=1:5
H_sig=std(H_dn,'omitnan');
H_mu=mean(H_dn,'omitnan');
D_sig=std(D_dn,'omitnan');
D_mu=mean(D_dn,'omitnan');
Z_sig=std(Z_dn,'omitnan');
Z_mu=mean(Z_dn,'omitnan');
G_sig=std(G_dn,'omitnan');
G_mu=mean(G_dn,'omitnan');
for j=1:length(H_dn)
if H_dn(j)>H_mu+5*H_sig||H_dn(j)<H_mu-5*H_sig
H_dn(j)=NaN;
end
if D_dn(j)>D_mu+5*D_sig||D_dn(j)<D_mu-5*D_sig
D_dn(j)=NaN;
end
if Z_dn(j)>Z_mu+5*Z_sig||Z_dn(j)<Z_mu-5*Z_sig
Z_dn(j)=NaN;
end
if G_dn(j)>G_mu+5*G_sig||G_dn(j)<G_mu-5*G_sig
G_dn(j)=NaN;
end
end
end
if norm_type1=='mo'
%Normalization based on months
for i=1:size(year_vec,2)
same_yr=find(UT1m_sel(:,1)==year_vec(i));
mon_vec=unique(UT1m_sel(same_yr,2),'stable');
for j=1:size(mon_vec,1)
same_mon=find(UT1m_sel(:,2)==mon_vec(j));
H_dn1(same_mon,1)=normalize(H_dn(same_mon,1),norm_method1);
D_dn1(same_mon,1)=normalize(D_dn(same_mon,1),norm_method1);
G_dn1(same_mon,1)=normalize(G_dn(same_mon,1),norm_method1);
Z_dn1(same_mon,1)=normalize(Z_dn(same_mon,1),norm_method1);
end
end
elseif norm_type1=='eq'
%Equal normalization
H_dn1=normalize(H_dn,norm_method1);
D_dn1=normalize(D_dn,norm_method1);
Z_dn1=normalize(Z_dn,norm_method1);
G_dn1=normalize(G_dn,norm_method1);
else
%No normalization
H_dn1=H_dn;
D_dn1=D_dn;
Z_dn1=Z_dn;
G_dn1=G_dn;
end
%% %Nighttime data in LT
LT_length=LT_end-LT_start;
if LT_length<0
LT_length=LT_length+24;
end
t_zone=timezone(stn_latlon(2),'degrees');
t_start=LT_start+t_zone;
if t_start>24
t_start=t_start-24;
end
if t_start<0
t_start=t_start+24;
end
t_starts=t_start*3600;
t_int=LT_length*3600;
for i=1:days_num
H_night(:,i)=H_dn1(t_starts:t_starts+t_int-1);
D_night(:,i)=D_dn1(t_starts:t_starts+t_int-1);
Z_night(:,i)=Z_dn1(t_starts:t_starts+t_int-1);
G_night(:,i)=G_dn1(t_starts:t_starts+t_int-1);
t_starts=t_starts+86400;
end
%% %ap and Dst indices
j=1;
k=1;
for i=1:length(index_geomag)
m=datenum(index_geomag(i,1),1,index_geomag(i,2));
if m>=datenum_start && m<=datenum_end
if index_geomag(i,3)==t_start
ap(:,k)=index_geomag(i:i+LT_length,6);
Dst(:,k)=index_geomag(i:i+LT_length,5);
k=k+1;
end
if j==days_num*24+1
break;
end
end
end
%% %PSD calculation
n_win=1800;
n_ovrlp=0.5*n_win;
n_fft=n_win;
fs=1;
f_bot=[f_1,f_3,f_5,f_7];
f_top=[f_2,f_4,f_6,f_8];
H_wlch=pwelch(H_night,hamming(n_win),n_ovrlp,n_fft,fs);
D_wlch=pwelch(D_night,hamming(n_win),n_ovrlp,n_fft,fs);
Z_wlch=pwelch(Z_night,hamming(n_win),n_ovrlp,n_fft,fs);
G_wlch=pwelch(G_night,hamming(n_win),n_ovrlp,n_fft,fs);
for i=1:4
bin_1=round(((n_fft/2+1)/0.5)*f_bot(i));
bin_2=round(((n_fft/2+1)/0.5)*f_top(i));
H_wlchf=H_wlch(bin_1:bin_2,:);
H_wlchmu(:,:,i)=mean(abs(H_wlchf),1,'omitnan');
D_wlchf=D_wlch(bin_1:bin_2,:);
D_wlchmu(:,:,i)=mean(abs(D_wlchf),1,'omitnan');
Z_wlchf=Z_wlch(bin_1:bin_2,:);
Z_wlchmu(:,:,i)=mean(abs(Z_wlchf),1,'omitnan');
G_wlchf=G_wlch(bin_1:bin_2,:);
G_wlchmu(:,:,i)=mean(abs(G_wlchf),1,'omitnan');
end
%% %Normalisation
datevec_daysvec=datevec(days_vec);
if norm_type2=='mo'
%Normalization based on months
for i=1:size(year_vec,2)
same_yr=find(datevec_daysvec(:,1)==year_vec(i));
mon_vec=unique(datevec_daysvec(same_yr,2),'stable');
for j=1:size(mon_vec,1)
same_mon=find(datevec_daysvec(:,2)==mon_vec(j));
H_norm=normalize(H_wlchmu,norm_method2);
D_norm=normalize(D_wlchmu,norm_method2);
G_norm=normalize(G_wlchmu,norm_method2);
Z_norm=normalize(Z_wlchmu,norm_method2);
end
end
elseif norm_type2=='eq'
%Equal normalization
H_norm=normalize(H_wlchmu,norm_method2);
D_norm=normalize(D_wlchmu,norm_method2);
Z_norm=normalize(Z_wlchmu,norm_method2);
G_norm=normalize(G_wlchmu,norm_method2);
else
%No normalization
H_norm=H_wlchmu;
D_norm=D_wlchmu;
Z_norm=Z_wlchmu;
G_norm=G_wlchmu;
end
H_norm=movmean(H_norm,movmean_val1,'omitnan');
D_norm=movmean(D_norm,movmean_val1,'omitnan');
G_norm=movmean(G_norm,movmean_val1,'omitnan');
Z_norm=movmean(Z_norm,movmean_val1,'omitnan');
G_norm(G_norm==0)=NaN;
%% %Power ratio
if strcmp(Zpowrat_thres,'All') Zpowrat_thres1=min(Z_norm);
elseif strcmp(Zpowrat_thres,'Off') Zpowrat_thres1=max(Z_norm);
elseif ~(sum(isstrprop(Zpowrat_thres,'alpha'))>=1) Zpowrat_thres1(1,1,1:4)=str2double(Zpowrat_thres);
elseif strcmp(Zpowrat_thres,'Median') Zpowrat_thres1=nanmedian(Z_norm);
elseif strcmp(Zpowrat_thres,'Median+IQR') Zpowrat_thres1=nanmedian(Z_norm)+iqr(Z_norm);
elseif strcmp(Zpowrat_thres,'Mean') Zpowrat_thres1=nanmean(Z_norm);
elseif strcmp(Zpowrat_thres,'Mean+STD') Zpowrat_thres1=nanmean(Z_norm)+nanstd(Z_norm);
end
if strcmp(Gpowrat_thres,'All') Gpowrat_thres1=min(G_norm);
elseif strcmp(Gpowrat_thres,'Off') Gpowrat_thres1=max(G_norm);
elseif ~(sum(isstrprop(Gpowrat_thres,'alpha'))>=1) Gpowrat_thres1(1,1,1:4)=str2double(Gpowrat_thres);
elseif strcmp(Gpowrat_thres,'Median') Gpowrat_thres1=nanmedian(G_norm);
elseif strcmp(Gpowrat_thres,'Median+IQR') Gpowrat_thres1=nanmedian(G_norm)+iqr(G_norm);
elseif strcmp(Gpowrat_thres,'Mean') Gpowrat_thres1=nanmean(G_norm);
elseif strcmp(Gpowrat_thres,'Mean+STD') Gpowrat_thres1=nanmean(G_norm)+nanstd(G_norm);
end
ZG_oper1=num2cell(ZG_oper);
ZG_oper2=ZG_oper1;
for i=1:size(ZG_oper1,2)
if strcmp(ZG_oper1(:,i),'Z') || strcmp(ZG_oper1(:,i),'G')
ZG_oper2(:,i)=strcat(ZG_oper1(:,i),'_norm(1,i,j)');
end
end
ZG_oper3=strjoin(ZG_oper2);
ZG_oper3(ZG_oper3==' ')=[];
for j=1:4
for i=1:days_num
if Z_norm(1,i,j)>Zpowrat_thres1(1,1,j) || G_norm(1,i,j)>Gpowrat_thres1(1,1,j)
ZG(1,i,j)=eval(ZG_oper3);
else
ZG(1,i,j)=NaN;
end
end
end
ZG=movmean(ZG,movmean_val2,'omitnan');
%mu+/-2sigma
ZG_mu=nanmean(ZG);
ZG_sig=nanstd(ZG);
% ZG_mup2sig=ones(1,days_num).*(ZG_mu+2*ZG_sig);
% ZG_mum2sig=ones(1,days_num).*(ZG_mu-2*ZG_sig);
ZG_mup2sig=ones(1,days_num,4).*5;
ZG_mum2sig=ones(1,days_num,4).*-5;
%% %Disturbed days and anomalies detection
dstb=NaN(1,days_num,4);
anom=NaN(1,days_num,4);
for j=1:4
for i=1:days_num
if ZG(1,i,j)>ZG_mup2sig(1,1,j) || ZG(1,i,j)<ZG_mum2sig(1,1,j)
% if (i>1 && i<days_num) && (any(ap(:,i)>50) || any(Dst(:,i)<-50) || any(ap(:,i-1)>50) || any(Dst(:,i-1)<-50) || any(ap(:,i+1)>50) || any(Dst(:,i+1)<-50))
% dstb(1,i,j)=ZG(1,i,j);
% elseif (i==1) && (ap(i,1)>50 || Dst(i,1)<-50 || ap(i+1,1)>50 || Dst(i+1,1)<-50)
% dstb(1,i,j)=ZG(1,i,j);
% elseif (i==days_num) && (ap(i,1)>50 || Dst(i,1)<-50 || ap(i-1,1)>50 || Dst(i-1,1)<-50)
% dstb(1,i,j)=ZG(1,i,j);
if any(ap(:,i)>50) || any(Dst(:,i)<-50)
dstb(1,i,j)=ZG(1,i,j);
else
anom(1,i,j)=ZG(1,i,j);
end
end
end
end
largeEQ=EQ_sel(find(EQ_sel(:,4)==max(EQ_sel(:,4))),1);
largeEQ_3D=datetime(largeEQ-3.0,'ConvertFrom','datenum','Format','dd/MM/yyyy HH');
largeEQ_1W=datetime(largeEQ-7.0,'ConvertFrom','datenum','Format','dd/MM/yyyy HH');
largeEQ_2W=datetime(largeEQ-14.0,'ConvertFrom','datenum','Format','dd/MM/yyyy HH');
largeEQ_1M=datetime(largeEQ-30.0,'ConvertFrom','datenum','Format','dd/MM/yyyy HH');
%Calculate azimuthal angle for days with disturbances and anomalies
if strcmp(azim_angle,'Band')
azim_value1='f_bot(i)';
azim_value2='f_top(i)'
else
azim_value1=string(str2num(azim_angle)-0.01);
azim_value2=string(str2num(azim_angle)+0.01);
end
for i=1:4
for j=1:days_num
if ~isnan(dstb(1,j,i)) || ~isnan(anom(1,j,i))
n_win=1800;
n_ovrlp=0.5*n_win;
n_fft=n_win;
fs=1;
XX=H_night(:,j);
YY=D_night(:,j);
ZZ=Z_night(:,j);
XX_wlch=pwelch(XX,hamming(n_win),n_ovrlp,n_fft,fs);
YY_wlch=pwelch(YY,hamming(n_win),n_ovrlp,n_fft,fs);
ZZ_wlch=pwelch(ZZ,hamming(n_win),n_ovrlp,n_fft,fs);
bin_1=round(((n_fft/2+1)/0.5)*eval(azim_value1));
bin_2=round(((n_fft/2+1)/0.5)*eval(azim_value2));
XX_wlchf=XX_wlch(bin_1:bin_2,:);
YY_wlchf=YY_wlch(bin_1:bin_2,:);
ZZ_wlchf=ZZ_wlch(bin_1:bin_2,:);
XY_mat=[XX_wlchf;YY_wlchf];
ZZ_mat=(ZZ_wlchf');
AB=real((inv(XY_mat*XY_mat'))*(XY_mat*ZZ_mat));
AB_amp=sqrt(AB(1)^2+AB(2)^2);
AB_theta=atan2d(AB(2),AB(1));
theta_azim(1,j,i)=AB_theta;
else
theta_azim(1,j,i)=NaN;
end
end
end
%% %Figure 1
title_sup=sprintf('%s station, %s - %s',station,datetime(datevec(datenum(date_start)),'Format','dd/MM/yyyy'),datetime(datevec(datenum(date_end)),'Format','dd/MM/yyyy'));
f1=figure(1);
stitle=suptitle(sprintf('%s',title_sup));
stitle_pos =get(stitle,'position');
stitle_pos=[stitle_pos(1) stitle_pos(2)+0.01 stitle_pos(3)];
set(stitle,'position',stitle_pos);
set(gca,'XTickLabel','','YTickLabel','');
tightaxes=tight_subplot(5,1,0.005,[0.1 0.05]); % (Nh, Nw, gap, marg_h, marg_w)
sp1=subplot(tightaxes(1));
plot(days_vec,ap,'k');
hold on
plot(days_vec,Dst,'r');
plot(days_vec,ones(length(days_vec),1)*(50),'k--');
plot(days_vec,ones(length(days_vec),1)*(-50),'r--');
hold off
ylabel('Dst ap');
if max(max(ap))>50 && min(min(Dst))<-50 ylim([min(min(Dst))-10 max(max(ap))+10])
elseif max(max(ap))>50 ylim([-60 max(max(ap))+10])
elseif min(min(Dst))<-50 ylim([min(min(Dst))-10 60])
else ylim([-60 60])
end
yyaxis right
set(gca, 'YColor', 'b');
N_detEQ=0; idx_detEQ=[];
for i=1:size(EQ_sel,1)
hold on
j=datetime(datevec(EQ_sel(i,1)),'Format','dd/MM/yyyy HH:mm:ss');
if 0.025*EQ_sel(i,2)<EQ_sel(i,3)-4.5
N_detEQ=N_detEQ+1; idx_detEQ(N_detEQ)=i;
plot(j,EQ_sel(i,4),'^','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
label=string(N_detEQ);
text(j,EQ_sel(i,4),label,'VerticalAlignment','bottom','HorizontalAlignment','center','FontSize',9);
text(j,EQ_sel(i,4),sprintf('%.0f%c ',EQ_sel(i,8),char(176)),'VerticalAlignment','middle','HorizontalAlignment','right','FontSize',7.5);
else
plot(j,EQ_sel(i,4),'o','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
text(j,EQ_sel(i,4),sprintf('%.0f%c ',EQ_sel(i,8),char(176)),'VerticalAlignment','middle','HorizontalAlignment','right','FontSize',7.5);
end
if EQ_sel(i,4)==max(EQ_sel(:,4))
u=j;t=i;
plot([u u],[-1e5 1e5],'-','Color',EQ_sel(t,9:11));
label=sprintf(' %s, M%0.1f, D=\t%.0fKM, d=%.0fKM',string(datetime(j,'Format','dd/MM/yyyy')),EQ_sel(i,3),EQ_sel(i,5),EQ_sel(i,2));
text(j,EQ_sel(i,4),label,'VerticalAlignment','top','HorizontalAlignment','left','FontSize',7.5);
end
end
hold off
set(gca,'XTickLabel','');
xlim([min(days_vec) max(days_vec)]);
if ~any(isnan(EQ_sel(1,:))) ylim([0 1.1*max(EQ_sel(:,4))]); end
ylabel('K_{LS}');
sp_list=char({'sp2','sp3','sp4','sp5'});
for i=1:4
eval([sp_list(i,:) '=subplot(tightaxes(i+1));']);
bar(days_vec,ZG(:,:,i));
hold on
for k=1:days_num
if isnan(Z_norm(:,k,i)) || isnan(G_norm(:,k,i))
xpatch=[k-0.5-1 k+0.5-1 k+0.5-1 k-0.5-1];
ypatch=[-1e+5 -1e+5 1e+5 1e+5];
patch(xpatch,ypatch,'y','FaceAlpha',0.2,'EdgeAlpha',0,'HandleVisibility','off');
end
end
plot(days_vec,ZG_mup2sig(:,:,i),'k--',days_vec,ZG_mum2sig(:,:,i),'k--','HandleVisibility','off');
bar(days_vec,anom(:,:,i),'r');
bar(days_vec,dstb(:,:,i),'g');
if ~any(isnan(EQ_sel(1,:)))
plot([u u],[-1e5 1e5],'-','Color',EQ_sel(t,9:11),'HandleVisibility','off');
plot([largeEQ_3D largeEQ_3D],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
plot([largeEQ_1W largeEQ_1W],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
plot([largeEQ_2W largeEQ_2W],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
plot([largeEQ_1M largeEQ_1M],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
end
for v=1:days_num
if ~isnan(theta_azim(1,v,i))
text(days_vec(v),0,sprintf('%.0f%c',theta_azim(1,v,i),char(176)),'VerticalAlignment','top','HorizontalAlignment','center','FontSize',7.5);
end
end
if i==4 && ~any(isnan(EQ_sel(1,:)))
text(largeEQ_3D,0,'-3D','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
text(largeEQ_1W,0,'-1W','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
text(largeEQ_2W,0,'-2W','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
text(largeEQ_1M,0,'-1M','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
end
hold off
ylabel('ZG (a.u.)');
% ylim([min(ZG(:,:,i)) max(ZG(:,:,i))]);
ylim([-5 50]);
xlim([min(days_vec) max(days_vec)]);
yyaxis right
hold on
plot(days_vec,Z_norm(:,:,i),'c-');
plot(days_vec,G_norm(:,:,i),'m-');
ylim([min([min(min(Z_norm)),min(min(G_norm))]) max([max(max(Z_norm)),max(max(G_norm))])]);
hold off
ylabel('Z & G (a.u.)')
legend({sprintf('\\Deltaf=%.3f-%.3f Hz',f_bot(i),f_top(i)),'Anomaly','Disturbed','Z_{norm}','G_{norm}'},'location','northwest','orientation','horizontal');
if i~=4 set(gca,'XTickLabel',''); end
end
linkaxes([sp1,sp2,sp3,sp4,sp5],'x')
set(gcf, 'Position', get(0, 'Screensize'));
%% Figure 2 (Map)
% f2=figure(2);
%
% worldmap([stn_latlon(1)-8 stn_latlon(1)+8],[stn_latlon(2)-8 stn_latlon(2)+8])
% geoshow('landareas.shp','FaceColor','White')
% title(sprintf('Earthquake Map | %s - %s, M > %0.1f, d < %.0f km',datetime(datevec(datenum(date_start)),'Format','dd/MM/yyyy'),datetime(datevec(datenum(date_end)),'Format','dd/MM/yyyy'),mag_min,dis_max));
%
% if ~isnan(mean(EQ_sel))
% for i=1:size(EQ_sel,1)
% EQ_lat=EQ_sel(i,6);
% EQ_lon=EQ_sel(i,7);
% EQ_radius=((EQ_sel(i,3)-4.5)/0.025);
% if EQ_sel(i,5)<=50
% colour='r';
% elseif (EQ_sel(i,5)>50) && (EQ_sel(i,5)<=200)
% colour='b';
% else EQ_sel(i,5)>200
% colour='g';
% end
% date_text=datetime(datevec(EQ_sel(i,1)),'Format','dd/MM/yyyy');
% circlem(EQ_lat,EQ_lon,EQ_radius,'edgecolor','none','facecolor',colour,'facealpha','0.2');
% if (EQ_sel(i,3)>=6.0 && EQ_sel(i,2)<=100) || EQ_sel(i,2)<=30 || EQ_sel(i,3)>=7.0
% textm(EQ_lat,EQ_lon,sprintf('%s(%0.1f)',date_text,EQ_sel(i,3)),'FontSize',8);
% end
% end
% end
% plotm(stn_latlon(1),stn_latlon(2),'k^','MarkerFaceColor','k','MarkerSize',5);
% textm(stn_latlon(1),stn_latlon(2)+0.2,stn);
% for i=1:length(stn_MAGDAS)
% if stn_MAGDAS(i,2)>stn_latlon(1)-8 && stn_MAGDAS(i,2)<stn_latlon(1)+8 && stn_MAGDAS(i,3)>stn_latlon(2)-8 && stn_MAGDAS(i,3)<stn_latlon(2)+8
% stnnearby_latlon=stn_MAGDAS(i,2:3);
% stnnearby_name=stn_vec(i);
% plotm(stnnearby_latlon(1),stnnearby_latlon(2),'k^','MarkerSize',5);
% textm(stnnearby_latlon(1),stnnearby_latlon(2)+0.2,stnnearby_name);
% end
% end
%
% set(gcf, 'Position', get(0, 'Screensize'));
%% Figure 4 (Z & G)
% f4=figure(4);
%
% tightaxes=tight_subplot(4,1,0.005,[0.1 0.05]); % (Nh, Nw, gap, marg_h, marg_w)
%
% sq_list=char({'sq1','sq2','sq3','sq4'});
% for i=1:4
% eval([sq_list(i,:) '=subplot(tightaxes(i));']);
%
% hold on
% plot(days_vec,Z_norm(:,:,i),'b');
% plot(days_vec,G_norm(:,:,i),'r');
%
% plot([u u],[-1e5 1e5],'-','Color',EQ_sel(t,9:11),'HandleVisibility','off');
% plot([largeEQ_3D largeEQ_3D],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
% plot([largeEQ_1W largeEQ_1W],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
% plot([largeEQ_2W largeEQ_2W],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
% plot([largeEQ_1M largeEQ_1M],[-1e5 1e5],'--','Color',[0.5 0.5 0.5],'HandleVisibility','off');
% if i==4
% text(largeEQ_3D,0,'-3D','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
% text(largeEQ_1W,0,'-1W','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
% text(largeEQ_2W,0,'-2W','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
% text(largeEQ_1M,0,'-1M','VerticalAlignment','top','HorizontalAlignment','right','FontSize',9)
% end
% hold off
% xlim([min(days_vec) max(days_vec)]);
% ylim([min([min(min(Z_norm)),min(min(G_norm))]) max([max(max(Z_norm)),max(max(G_norm))])])
% ylabel('a.u.')
% legend({'Z_{norm}','G_{norm}'},'location','northwest','orientation','horizontal');
% text(1,0.95,sprintf('\\Deltaf=%.3f-%.3f Hz',f_bot(i),f_top(i)),'Units','normalized','HorizontalAlignment','right');
% if i~=4 set(gca,'XTickLabel',''); end
%
% end
%
% linkaxes([sq1,sq2,sq3,sq4],'xy')
%
% set(gcf, 'Position', get(0, 'Screensize'));
%% Saving figures
ddMMyy1=upper(string(datetime(min(days_vec),'Format','ddMMyy')));
ddMMyy2=upper(string(datetime(max(days_vec),'Format','ddMMyy')));
today=char(datetime('today','Format','dd-MM-yyyy'));
today=strcat(today,'\Adib_12\');
path1='D:\OneDrive\Belajar\Dr. Adib Yusof\Data dan Analisis\Percubaan\Cubaan 2\Figures\';
mkdir(fullfile(path1,today));
path2=strcat('D:\OneDrive\Belajar\Dr. Adib Yusof\Data dan Analisis\Percubaan\Cubaan 2\Figures\',today);
figname1=char(strcat(stn,'_',ddMMyy1,'-',ddMMyy2,'(ZG)'));
figname2=char(strcat(stn,'_',ddMMyy1,'-',ddMMyy2,'(MAP)'));
figname3=char(strcat(stn,'_',ddMMyy1,'-',ddMMyy2,'(INFO)'));
figname4=char(strcat(stn,'_',ddMMyy1,'-',ddMMyy2,'(Z&G)'));
asksave=input('Save figure? 0=Don''t save and 1=Save ');
if asksave==0
disp('Figure not saved')
elseif asksave==1
for i=1:100
if exist(strcat(path2,figname1,sprintf('-%d',i),'.tif'))~=2
figname1ext=strcat(figname1,char(sprintf('-%d',i)));
figname3ext=strcat(figname3,char(sprintf('-%d',i)));
figname4ext=strcat(figname4,char(sprintf('-%d',i)));
saveas(f1,fullfile(path2,figname1ext),'tiff');
% saveas(f4,fullfile(path2,figname4ext),'tiff');
disp('Figure saved')
break
end
end
end
% saveas(f2,fullfile(path2,figname2),'tiff');
%% Create accompanying .txt file
if asksave~=0
textname=char(strcat(figname3ext,'.txt'));
texthandle=fopen(fullfile(path2,textname),'wt');
copyscript=fileread('Adib_12.m');
if norm_type1=='mo' norm_type1full='Monthly';
elseif norm_type1=='eq' norm_type1full='Equal';
else norm_type1full='Not normalized'; end
if norm_type2=='mo' norm_type2full='Monthly';
elseif norm_type2=='eq' norm_type2full='Equal';
else norm_type2full='Not normalized'; end
if movmean_val1==1 movmean_val1='Off';
else movmean_val1=string(movmean_val1); end
if movmean_val2==1 movmean_val2='Off';
else movmean_val2=string(movmean_val2); end
fprintf(texthandle,'GENERAL INFORMATION\n');
fprintf(texthandle,'%-40s : %s (%s), %s\n','Station',station,stn,region);
fprintf(texthandle,'%-40s : GMT+%d\n','Timezone',-t_zone);
fprintf(texthandle,'%-40s : %s to %s\n','Time period',datetime(min(datenum_vec),'ConvertFrom','datenum','Format','dd-MMM-yyyy'),datetime(floor(max(datenum_vec)),'ConvertFrom','datenum','Format','dd-MMM-yyyy'));
fprintf(texthandle,'\nSIGNAL PROCESSING\n');
fprintf(texthandle,'%-40s : [%.4f - %.4f Hz],[%.4f - %.4f Hz],[%.4f - %.4f Hz],[%.4f - %.4f Hz]\n','Frequency channels',f_1,f_2,f_3,f_4,f_5,f_6,f_7,f_8);
fprintf(texthandle,'%-40s : %02d - %02d LT\n','Local time data',LT_start,LT_end);
fprintf(texthandle,'%-40s : %s\n','ZG operation',ZG_oper);
fprintf(texthandle,'%-40s : %s\n','Frequency for azimuthal angles',azim_angle);
fprintf(texthandle,'%-40s : %s\n','Moving mean of normalized Z & G',movmean_val1);
fprintf(texthandle,'%-40s : %s\n','Moving mean of ZG',movmean_val2);
fprintf(texthandle,'%-40s : %s (%s)\n','Normalization on raw data',norm_type1full,norm_method1);
fprintf(texthandle,'%-40s : %s (%s)\n','Normalization before ratio calculation',norm_type2full,norm_method2);
fprintf(texthandle,'%-40s : %s [%.4e,%.4e,%.4e,%.4e]\n','Z power ratio threshold',Zpowrat_thres,Zpowrat_thres1(1,1,1:4));
fprintf(texthandle,'%-40s : %s [%.4e,%.4e,%.4e,%.4e]\n','G power ratio threshold',Gpowrat_thres,Gpowrat_thres1(1,1,1:4));
fprintf(texthandle,'\nEARTHQUAKE DETAILS\n');
fprintf(texthandle,'%-40s : %d km\n','Maximum distance',dis_max);
fprintf(texthandle,'%-40s : M%.1f\n','Minimum magnitude',mag_min);
fprintf(texthandle,'%-40s : %d km\n','Maximum depth',depth_max);
fprintf(texthandle,'%-40s : %d\n','Number of earthquakes',size(EQ_sel,1));
fprintf(texthandle,'%-40s : %d\n\n','Number of detectable earthquakes',N_detEQ);
if N_detEQ>0
for i=1:N_detEQ
j=idx_detEQ(i);
fprintf(texthandle,'%-2d. UTC: %s Mag: %.1f Dis: %-3.0f km Dep: %0d km Ks: %.1f\n',i,datetime(EQ_sel(j,1),'ConvertFrom','datenum','Format','dd-MM-yyyy HH:mm:ss'),EQ_sel(j,3),EQ_sel(j,2),EQ_sel(j,5),EQ_sel(j,4));
end
end
fprintf(texthandle,'\nFULL SCRIPT-------------------------------------------------------------------------\n\n');
fprintf(texthandle,'%c',copyscript);
fclose(texthandle);
end
%% Inspect data
for s=1:10
if s>1 disp('Another inspection?'); end
%Input
inspect=string(sprintf('%08d',input('Inspect data? Enter 0=No, 1=Yes, similar period or DDMMYYYY=Yes, more specific. Start date? ')));
if inspect=="00000000"
if s>1 disp('Data inspection finished');
else disp('No data inspection'); end
break;
elseif inspect=="00000001"
datenum_instart=date_start1;
datenum_insend=date_end1;
else
date_instart=inspect;
inspect2=string(sprintf('%08d',input('End date? ')));
if inspect2=="00000001"
date_insend=date_instart;
datenum_instart=datenum(date_instart,'ddmmyyyy');
datenum_insend=datenum(strcat(date_instart,'235959'),'ddmmyyyyhhMMss');
else
date_insend=inspect2;
datenum_instart=datenum(date_instart,'ddmmyyyy');
datenum_insend=datenum(strcat(date_insend,'235959'),'ddmmyyyyhhMMss');
end
end
%Proceed analysis
if inspect~="00000000"
%Data selection
instart=datenum_instart-data_start+1;
insend=floor(datenum_insend)-data_start+1;
insdatenum_vec=datenum_instart:datenum_insend;
insdays_vec=datetime(datevec(datenum_instart:1/86400:datenum_insend),'Format','dd/MM/yyyy HH:mm:ss');
G=sqrt(H.^2+D.^2);
G_ins=G(86400*instart-86399:86400*insend);
Z_ins=Z(86400*instart-86399:86400*insend);
%Removing noise/outlier
for i=1:3
G_ins=medfilt1(G_ins,30,'omitnan','truncate');
Z_ins=medfilt1(Z_ins,30,'omitnan','truncate');
end
for i=1:5
G_sig=std(G_ins,'omitnan');
G_mu=mean(G_ins,'omitnan');
Z_sig=std(Z_ins,'omitnan');
Z_mu=mean(Z_ins,'omitnan');
for j=1:length(G_ins)
if G_ins(j)>G_mu+5*G_sig||G_ins(j)<G_mu-5*G_sig
G_ins(j)=NaN;
end
if Z_ins(j)>Z_mu+5*Z_sig||Z_ins(j)<Z_mu-5*Z_sig
Z_ins(j)=NaN;
end
end
end
%Geomagnetic indices
clearvars AP_ins ap_ins DST_ins Dst_ins
k=1;
for i=1:length(index_geomag)
m=datenum(index_geomag(i,1),1,index_geomag(i,2));
if m>=datenum_instart && m<=datenum_insend
AP_ins(k,1)=index_geomag(i,6);
DST_ins(k,1)=index_geomag(i,5);
k=k+1;
end
end
j=1;
for i=1:length(AP_ins)
ap_ins(j:j+3600-1,1)=AP_ins(i,1);
Dst_ins(j:j+3600-1,1)=DST_ins(i,1);
j=j+3600;
end
%Diff calculation
G_diff=diff(G_ins);
G_diff(length(insdays_vec))=NaN;
Z_diff=diff(Z_ins);
Z_diff(length(insdays_vec))=NaN;
%Spectrogram parameters
n_win=1800;
n_ovrlp=0.5*n_win;
n_fft=n_win;
fs=1;
%Plotting
title_sup=sprintf('Data inspection at %s station, %s - %s',station,datetime(datevec(datenum_instart),'Format','dd/MM/yyyy'),datetime(datevec(floor(datenum_insend)),'Format','dd/MM/yyyy'));
f3=figure(3);
stitle=suptitle(sprintf('%s',title_sup));
stitle_pos =get(stitle,'position');
stitle_pos=[stitle_pos(1) stitle_pos(2)+0.01 stitle_pos(3)];
set(stitle,'position',stitle_pos);
spA=subplot(3,2,1);
plot(insdays_vec,G_ins);
ylabel('G_{raw}')
xlim([min(insdays_vec) max(insdays_vec)])
yyaxis right
set(gca, 'YColor', 'b')
for i=1:size(EQ_sel,1)
hold on
j=datetime(datevec(EQ_sel(i,1)),'Format','dd/MM/yyyy HH:mm:ss');
if 0.025*EQ_sel(i,2)<EQ_sel(i,3)-4.5
plot(j,EQ_sel(i,4),'^','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
else
plot(j,EQ_sel(i,4),'o','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
end
end
hold off
title('Raw G component');
spB=subplot(3,2,2);
plot(insdays_vec,Z_ins);
ylabel('Z_{raw}')
xlim([min(insdays_vec) max(insdays_vec)])
yyaxis right
set(gca, 'YColor', 'b')
for i=1:size(EQ_sel,1)
hold on
j=datetime(datevec(EQ_sel(i,1)),'Format','dd/MM/yyyy HH:mm:ss');
if 0.025*EQ_sel(i,2)<EQ_sel(i,3)-4.5
plot(j,EQ_sel(i,4),'^','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
else
plot(j,EQ_sel(i,4),'o','MarkerEdgeColor',EQ_sel(i,9:11),'MarkerFaceColor',EQ_sel(i,9:11),'MarkerSize',5);
end
end
hold off
title('Raw Z component');
spC=subplot(3,2,3);
plot(insdays_vec,G_diff);
ylabel('G_{diff}')
ylim([-3 3])
xlim([min(insdays_vec) max(insdays_vec)])
yyaxis right
plot(insdays_vec,Dst_ins);
ylim([-inf inf])
ylabel('Dst')
title('Diff(G) & Dst index');
spD=subplot(3,2,4);
plot(insdays_vec,Z_diff);
ylabel('Z_{diff}')
ylim([-3 3])
xlim([min(insdays_vec) max(insdays_vec)])
yyaxis right
plot(insdays_vec,ap_ins);
ylim([-inf inf])
ylabel('ap')
title('Diff(Z) & ap index');
spE=subplot(3,2,5);
[Sspec,Fspec,Tspec]=spectrogram(G_ins,'yaxis',hamming(n_win),n_ovrlp,n_fft,1);
Tspec_new=insdays_vec(Tspec,1);
surf(Tspec_new,Fspec,abs(Sspec),'EdgeColor','none');
axis xy; axis tight; colormap(jet); view(0,90);
ylim([0 0.1]); xlim([Tspec_new(1) Tspec_new(end)])
ylabel('Frequency (Hz)')
caxis([0 30])
colorbar('off')
colorbar('east')
title('Spectrogram of G');
spF=subplot(3,2,6);
[Sspec,Fspec,Tspec]=spectrogram(Z_ins,'yaxis',hamming(n_win),n_ovrlp,n_fft,1);
Tspec_new=insdays_vec(Tspec,1);
surf(Tspec_new,Fspec,abs(Sspec),'EdgeColor','none');
axis xy; axis tight; colormap(jet); view(0,90);
ylim([0 0.1]); xlim([Tspec_new(1) Tspec_new(end)])
ylabel('Frequency (Hz)')
caxis([0 30])
colorbar('off')
colorbar('east')
title('Spectrogram of Z');
linkaxes([spA,spB,spC,spD,spE,spF],'x')
linkaxes([spC,spD],'y')
linkaxes([spE,spF],'y')
set(gcf, 'Position', get(0, 'Screensize'));
disp('Data inspection displayed');
end
end
%% Precursor record
if asksave==1
for d=1:10
if d>1 disp('Another precursor?'); end
detpre=string(sprintf('%08d',input('Notice a precursor? 0=No or DDMMYYYY=Specify date ')));
%Getting current time
time_now=datetime('now','Format','dd-MM-yyyy HH:mm');
%Writing to xls array
record_pre{1}=char(time_now);
record_pre{2}=sprintf('%s: %d %d %d)',stn,year_vec);
record_pre{3}=sprintf('%s',region);
record_pre{14}=sprintf('%02d - %02d',LT_start,LT_end);
record_pre{23}=sprintf('%s',strcat(path2,figname1ext,'.tif'));
xlsfilename='D:\OneDrive\Belajar\Dr. Adib Yusof\Data dan Analisis\Percubaan\Cubaan 2\Rekod keseluruhan\Rekod kemunculan petanda geomagnet.xlsx';
xlssheetname='Adib_12';
if detpre=="00000000"
if d>1 break; end
%Scanning xls file
[readxcel1,readxcel2,readxcel]=xlsread(xlsfilename,xlssheetname);
empcell=string(size(readxcel,1)+1);
for t=5:22
if t~=14 record_pre{t}='N/A'; end
if t==4 || t==12 record_pre{t}=[]; end
end
%Writing to xls file
xlsrange=strcat('A',empcell,':W',empcell);
xlswrite(xlsfilename,record_pre,xlssheetname,xlsrange);
break;
else
%Identifying precursor
date_pre=datenum(detpre,'ddmmyyyy');
dayidx_pre=find(date_pre==datenum(days_vec));
whichband=input('Which frequency band(s)? 1 to 4, or for multiple bands, use [a,b,c] ');
for i=1:length(whichband)
if length(whichband)>1 display(sprintf('For band %d: ',whichband(i))); end
countpre(i)=input('Enter number of precursors appear before the earthquake ');
end
%Identifying earthquake
date_EQ=datenum(string(sprintf('%08d',input('What is the date of the earthquake? Input DDMMYYYY '))),'ddmmyyyy');
listEQ_samedate=find(floor(EQ_sel(:,1))==date_EQ);
for r=1:10
if isempty(listEQ_samedate)
disp('No earthquake in the given date. Change date..');
date_EQ=datenum(string(sprintf('%08d',input('What is the date of the earthquake? Input DDMMYYYY '))),'ddmmyyyy');
listEQ_samedate=find(floor(EQ_sel(:,1))==date_EQ);
if ~isempty(listEQ_samedate) break; end
end
end
EQ_maxKS=listEQ_samedate(EQ_sel(listEQ_samedate,4)==max(EQ_sel(listEQ_samedate,4)));
EQ_dtctble=listEQ_samedate(0.025*EQ_sel(listEQ_samedate,2)<EQ_sel(listEQ_samedate,3)-4.5);
EQ_selidx=unique(vertcat(EQ_maxKS,EQ_dtctble));
for i=1:size(EQ_selidx,1)
EQ_selKS=EQ_sel(EQ_selidx(i),4);
EQ_selDET=string(0.025*EQ_sel(EQ_selidx,2)<EQ_sel(EQ_selidx,3)-4.5);
display(sprintf('ID:%d Ks index: %.2f Detectability: %s',i,EQ_selKS,EQ_selDET));
end