毕业论文 - 图文

南京师范大学泰州学院本科毕业论文

附录

附录一：取样点分布图

A = xlsread('cumcm2011A附件_数据.xls','排序后取样点表','B4:D322'); B = xlsread('cumcm2011A附件_数据.xls','排序后浓度表','B4:I322'); x=A(:,1);y=A(:,2);z=B(:,7); x1=x(1:44);y1=y(1:44);z1=z(1:44); plot3(x1,y1,z1,'*b') hold on

x2=x(45:80);y2=y(45:80);z2=z(45:80); scatter3(x2,y2,z2,'pg')

x3=x(81:146);y3=y(81:146);z3=z(81:146); scatter3(x3,y3,z3,'+k')

x4=x(147:284);y4=y(147:284);z4=z(147:284); scatter3(x4,y4,z4,'.r')

x5=x(285:319);y5=y(285:319);z5=z(285:319); scatter3(x5,y5,z5,'hm') xlabel('x轴 单位（m）') ylabel('y轴 单位（m）') zlabel('海拔 单位(m）') title('取样点分布图')

legend('生活区取样点','工业区取样点','山区取样点','主干道路区取样点','公园绿地区取样点') x=A(:,1);y=A(:,2);z=A(:,3);

[X,Y,Z]=griddata(x,y,z,linspace(min(x),max(x))',linspace(min(y),max(y)),'v4');%插值 meshc(X,Y,Z)

附录二：取样点等高分布图：

A = xlsread('cumcm2011A附件_数据.xls','排序后取样点表','B4:D322'); x=A(:,1);y=A(:,2);z=A(:,3);

[X,Y,Z]=griddata(x,y,z,linspace(min(x),max(x))',linspace(min(y),max(y)),'v4');%插值 contour(X,Y,Z,30) hold on

x1=x(1:44);y1=y(1:44);z1=z(1:44); plot(x1,y1,'*b')

x2=x(45:80);y2=y(45:80);z2=z(45:80); plot(x2,y2,'pg')

x3=x(81:146);y3=y(81:146);z3=z(81:146); plot(x3,y3,'+k')

x4=x(147:284);y4=y(147:284);z4=z(147:284); plot(x4,y4,'.r')

x5=x(285:319);y5=y(285:319);z5=z(285:319); plot(x5,y5,'hm')

xlabel('x轴 单位（m）') ylabel('y轴 单位（m）') title('取样点等高分布图')

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南京师范大学泰州学院本科毕业论文

legend('海拔等高线','生活区取样点','工业区取样点','山区取样点','主干道路区取样点','公园绿地区取样点') x=A(:,1);y=A(:,2);z=A(:,3);

[X,Y,Z]=griddata(x,y,z,linspace(min(x),max(x))',linspace(min(y),max(y)),'v4');%插值 contour(X,Y,Z,30)

附录三：工业区As、Cd、Cr、Cu元素的浓度与海拔关系图 A = xlsread('cumcm2011A附件_数据.xls','工业区','A2：A37'); B = xlsread('cumcm2011A附件_数据.xls','工业区','B2:I37'); subplot(2,2,1) As = B(:,1); plot(A,As)

xlabel('海拔 单位（m）') ylabel('As浓度(μg/g)')

title('工业区As元素浓度与海拔关系折线图') subplot(2,2,2) Cd = B(:,2); plot(A,Cd)

xlabel('海拔 单位（m）') ylabel('Cd浓度(ng/g)')

title('工业区Cd元素浓度与海拔关系折线图') subplot(2,2,3) Cr = B(:,3); plot(A,Cr)

xlabel('海拔 单位（m）') ylabel('Cr浓度(μg/g)')

title('工业区Cr元素浓度与海拔关系折线图') subplot(2,2,4) Cu = B(:,4); plot(A,Cu)

xlabel('海拔 单位（m）') ylabel('Cu浓度(μg/g)')

title('工业区Cu元素浓度与海拔关系折线图')

工业区Hg、Ni、Pb、Zn元素的浓度与海拔关系图，山区As、Cd、Cr、Cu元素的浓度与海拔关系，山区Hg、Ni、Pb、Zn元素的浓度与海拔关系图程序类似略 附录四：因子分析程序

x = xlsread('cumcm2011A附件_数据.xls','附件2','B4:I322'); x = zscore(x)%数据标准化 r = cov(x)%相关矩阵 [vec,val,con] = pcacov(r) val,con

f1 = repmat(sign(sum(vec)),size(vec,1),1); vec = vec.*f1;

f2 = repmat(sqrt(val)',size(vec,1),1); a = vec.*f2%载荷矩阵

[b,t] = rotatefactors(a(:,1:3),'method','varimax')

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南京师范大学泰州学院本科毕业论文

bz = [b,a(:,4:end)] gx = sum(bz.^2) gxv = gx/sum(gx) 附录五：变量聚类分析 a = [1.0000 0 0.2547 0.1890 0.1597 0.0644 0.3166 0.2899 0.2469 for i = 1:8 a(i,i) = 0; end b = a(:); b = nonzeros(b); b = b'; b = 1-b;

z = linkage(b,'complete');%最大距离 y = cluster(z,2)%阈值为2 dendrogram(z)%绘图 % ind1 = find(y==2); % ind1 = ind1' % ind2 = find(y==1); % ind2 = ind2'

title('土壤重金属相关元素聚类分析图')

set(gca,'XTicklabel',['Cr'; 'Ni';'Cu';'Cd';'Pb';'Zn','As';'Hg']) % h = get(gca)

% set(h,'XTickLabel',['Cr';'Ni';'Cu';'Cd';'Pb';'Zn';'As';'Hg']) % set(gca,'XTickLabel',['Cr Ni Cu Cd Pb Zn As Hg']) 附录六：熵值法计算权重 x = [6.27 289.9613636

237.0086364;

53.40916667 38.95969697 58.05391304 43.636

127.5358333 17.31727273 62.21492754

642.3552778 40.95606061 446.8225362

19.81166667 15.45378788 17.61710145 15.28971429

93.04083333 36.55590909 63.5342029 60.70857143

277.9275 73.29424242 242.8548551 154.2422857];

7.25 393.1111111 4.04 152.319697 5.71 360.0144928 6.26 280.5428571 [n,m] = size(x) % x =load('sj.txt') %标准化处理 x = abs(zscore(x)) %计算比重 s=sum(x)

69.01840909

49.40318182

93.04068182

18.34227273

69.10636364

0

0

0 0

0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0

0 0

0

0 1.0000];

1.0000 0.4937

1.0000 0.3524 0.3967 0.2647 0.3294 0.6603 0.4312

1.0000 0.5316 0.1032 0.7158 0.3828 0.4243

1.0000 0.4167 0.4946 0.5200 0.3873

1.0000 0.1029 0.2981 0.1958

1.0000 0.3068 0.4364

30.19171429 114.9917143

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南京师范大学泰州学院本科毕业论文

p1 = x(1,:)./s p2 = x(2,:)./s p3 = x(3,:)./s p4 = x(4,:)./s p5 = x(5,:)./s p = [p1;p2;p3;p4;p5] %计算熵值 k = log(1/n)

e1= k*(p1(:,1)+p2(:,1)+p3(:,1)+p4(:,1)+p5(:,1)+log(p1(:,1))+log(p2(:,1))+log(p3(:,1))+log(p4(:,1))+log(p4(:,1))) e2= k*(p1(:,2)+p2(:,2)+p3(:,2)+p4(:,2)+p5(:,2)+log(p1(:,2))+log(p2(:,2))+log(p3(:,2))+log(p4(:,2))+log(p4(:,2))) e3= k*(p1(:,3)+p2(:,3)+p3(:,3)+p4(:,3)+p5(:,3)+log(p1(:,3))+log(p2(:,3))+log(p3(:,3))+log(p4(:,3))+log(p4(:,3))) e4= k*(p1(:,4)+p2(:,4)+p3(:,4)+p4(:,4)+p5(:,4)+log(p1(:,4))+log(p2(:,4))+log(p3(:,4))+log(p4(:,4))+log(p4(:,4))) e5= k*(p1(:,5)+p2(:,5)+p3(:,5)+p4(:,5)+p5(:,5)+log(p1(:,5))+log(p2(:,5))+log(p3(:,5))+log(p4(:,5))+log(p4(:,5))) e6= k*(p1(:,6)+p2(:,6)+p3(:,6)+p4(:,6)+p5(:,6)+log(p1(:,6))+log(p2(:,6))+log(p3(:,6))+log(p4(:,6))+log(p4(:,6))) e7= k*(p1(:,7)+p2(:,7)+p3(:,7)+p4(:,7)+p5(:,7)+log(p1(:,7))+log(p2(:,7))+log(p3(:,7))+log(p4(:,7))+log(p4(:,7))) e8= k*(p1(:,8)+p2(:,8)+p3(:,8)+p4(:,8)+p5(:,8)+log(p1(:,8))+log(p2(:,8))+log(p3(:,8))+log(p4(:,8))+log(p4(:,8))) %计算差异系数

E = e1+e2+e3+e4+e5+e6+e7+e8; g1 = (1-e1)/(m-E) g2 = (1-e2)/(m-E) g3 = (1-e3)/(m-E) g4 = (1-e4)/(m-E) g5 = (1-e5)/(m-E) g6 = (1-e6)/(m-E) g7 = (1-e7)/(m-E) g8 = (1-e8)/(m-E)

% g1+g2+g3+g4+g5+g6+g7+g8 %计算权重

w = [g1,g2,g3,g4,g5,g6,g7,g8] %计算变量分值

xx = [3 3 3 4 3 2 3 4;3 4 3 5 5 2 4 4;2 2 2 2 2 2 2 2;3 3 3 5 5 2 3 4;3 3 2 3 3 2 3 3] w = 10*[w;w;w;w;w] V = xx.*w VV = sum(V,2) N = 10./VV

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