LAMPIRAN
Lampiran 1 Analisis hubungan debit aliran dengan tinggi muka air di Sub DAS Melamon
No Tanggal Hujan
S t V air TMA A P Q
N Beton (A/P)2/3 S0.5
V Manning Q Manning
(m)
CHrata- rat
a
(m/s) (m) (m
2) (m) (m
3/s)
(m/s) (m
3/s)
1 31-Jan-12 10 15.85 0.6053 0.3 0.0875 1.2 0.0530 0.02 0.1745 0.2109 1.8405 0.2 26.6
2 3-Feb-12 10 15.83 0.6050 0.4 0.4375 8.4 0.2647 0.02 0.1395 0.2109 1.4707 0.6 72.2
3 4-Feb-12 10 15.65 0.6124 0.3 0.1125 2.2 0.0689 0.02 0.1374 0.2109 1.4484 0.2 31.4
4 12-Feb-12 10 15.59 0.6136 0.5 1.5825 14.6 0.9710 0.02 0.2267 0.2109 2.3907 3.8 50.6
5 26-Feb-12 10 15.22 0.6297 0.3 0.2625 8.3 0.1653 0.02 0.1000 0.2109 1.0546 0.3 46.3
6 27-Feb-12 10 9.10 1.0515 0.5 1.7125 14.7 1.8007 0.02 0.2385 0.2109 2.5153 4.3 60
7 28-Feb-12 10 14.70 0.6515 0.4 0.4375 8.4 0.2850 0.02 0.1395 0.2109 1.4707 0.6 14.8
8 2-Mar-12 10 20.01 0.4831 0.1 0.0385 0.9 0.0186 0.02 0.1205 0.2109 1.2710 0.0 0
9 2-Mar-12 10 17.69 0.5449 0.1 0.0490 1.0 0.0267 0.02 0.1357 0.2109 1.4312 0.1 12.5
10 3-Mar-12 10 16.77 0.5773 0.1 0.0350 0.9 0.0202 0.02 0.1148 0.2109 1.2104 0.0 0
11 3-Mar-12 10 20.36 0.4763 0.1 0.0315 0.88 0.0150 0.02 0.1086 0.2109 1.1453 0.0 0
12 3-Mar-12 10 17.99 0.5390 0.1 0.0315 0.88 0.0170 0.02 0.1086 0.2109 1.1453 0.0 0
14 4-Mar-12 10 17.29 0.5620 0.1 0.0280 0.86 0.0157 0.02 0.1020 0.2109 1.0752 0.0 0
15 4-Mar-12 10 20.19 0.4813 0.1 0.0280 0.86 0.0135 0.02 0.1020 0.2109 1.0752 0.0 0
16 4-Mar-12 10 15.96 0.6089 0.1 0.0280 0.86 0.0170 0.02 0.1020 0.2109 1.0752 0.0 0
17 5-Mar-12 10 20.75 0.4673 0.1 0.0315 0.88 0.0147 0.02 0.1086 0.2109 1.1453 0.0 2.8
Keterangan :
S = Jarak A = Luas penampang S = Kemiringan saluran
t = Waktu tempuh pelampung P = Keliling basah CH = Curah hujan
V = Kecepatan air Q = Debit aliran
TMA = Tinggi muka air N beton = Koefisien beton
4 1
Lampiran 2 Gambar penampang DAS
SPAS
f g c
i a d
h
b e
keterangan :
a = 1,5 m Panjang SPAS = 8 m
b = 3,5 m c = a+b = 0,5 m d = 6 m
e = a+b+c + = 6,5 m f = 3,8 m
g = 2,6 m
h = 2,5 m
i = 5,4 m
Lampiran 2 (lanjutan)
Rumus perhitungan luas SPAS (A)
1. Jika kondisi normal, tidak terjadi hujan atau banjir (persegi b dan g) A= TMA X b
2. Jika terjadi banjir dan alirannya hanya dapat diukur kiri dan tengah A= ( b X h) + ((TMA- h) X ((d/2) + c))
3. Jika terjadi hujan besar dan banjir bandang A = (b X gh + ((TMA-h) X e)
Rumus keliling basah SPAS (P)
1. Jika kondisi normal, tidak terjadi hujan atau banjir (persegi b dan g) P = 2 X (TMA + b)
2. Jika terjadi banjir dan alirannya hanya dapat diukur kiri dan tengah P = (2 X (b+h)) + (2 X ((TMA-h)+ ((d/2)+c)))
3. Jika terjadi hujan besar dan banjir bandang P = (2 X (b+h)) + (2 X ((TMA-h)+ e))
Ilustrasi bangun persegi Persegi 1
Persegi 2
Persegi 3
Lampiran 3 Analisis hubungan debit aliran dengan laju sedimen di Sub DAS Melamon (data lapangan 2012)
Tanggal Hujan
Tinggi Muka
Air (m)
Debit Aliran (m
3/detik)
Konsentrasi Sedimen (ppm) atau (mg/l)
Laju Sedimen (ton/hari)
31-Jan-12 0.250 0.0530 3120,000 85.6452
3-Feb-12 0.350 0.2647 1971,420 99.6331
4-Feb-12 0.300 0.0689 80,000 3.0568
12-Feb-12 0.480 0.9710 1297,420 116.2887
26-Feb-12 0.300 0.1653 220,00 8.4063
27-Feb-12 0.500 1.8007 4960,000 478.7386
28-Feb-12 0.350 0.2850 4850,000 245.1130
2-Mar-12 0.110 0.0186 3,330 0.0206
2-Mar-12 0.140 0.0267 1345,000 12.8969
3-Mar-12 0.100 0.0202 2,778 0.0145
3-Mar-12 0.090 0.0150 3,571 0.0154
3-Mar-12 0.009 0.0020 5,263 0.0003
4-Mar-12 0.008 0.0018 3,704 0.0002
4-Mar-12 0.008 0.0016 3,333 0.0002
4-Mar-12 0.008 0.0020 4,762 0.0003
5-Mar-12 0.009 0.0017 4,000 0.0003
Lampiran 4 Scatterplot of Log Q vs Log TMA
Regression Analysis: Log Q versus Log TMA The regression equation is
Log Q = 0.886 + 2.27 Log TMA Predictor CoefSECoef T P Constant 0.8865 0.1689 5.25 0.000 Log TMA 2.2672 0.2027 11.18 0.000
S = 0.242104 R-Sq = 89.9% R-Sq(adj) = 89.2%
Analysis of Variance
Source DF SS MS F P Regression 1 7.3292 7.3292 125.04 0.000 Residual Error 14 0.8206 0.0586
Total 15 8.1498 Unusual Observations
Obs Log TMA Log Q Fit SE Fit Residual St Resid 3 -0.52 -0.7900 -0.2925 0.0799 -0.4975 -2.18R R denotes an observation with a large standardized residual.
Log TMA
Lo g Q
-0.2 -0.3
-0.4 -0.5
-0.6 -0.7
-0.8 -0.9
-1.0 -1.1
0.5 0.0 -0.5 -1.0 -1.5
Log Q = 0.886 + 2.27 Log TMA Y=7.844X^2.282
Scatterplot of Log Q vs Log TMA
Lampiran 5 Scatterplotof Log Qs vs Log Q
Regression Analysis: Log Qs versus Log Q The regression equation is
Log Qs = 3.06 + 2.54 Log Q Predictor CoefSECoef T P Constant 3.0640 0.5033 6.09 0.000 Log Q 2.5445 0.3542 7.18 0.000
S = 0.963769 R-Sq = 78.7% R-Sq(adj) = 77.1%
Analysis of Variance
Source DF SS MS F P Regression 1 47.944 47.944 51.62 0.000 Residual Error 14 13.004 0.929
Total 15 60.948 Unusual Observations
Obs Log Q Log Qs Fit SE Fit Residual St Resid 1 -1.28 1.951 -0.183 0.241 2.134 2.29R 9 -1.57 1.011 -0.940 0.267 1.951 2.11R
R denotes an observation with a large standardized residual.
Log Q
Lo g Q s
0.0 -0.5
-1.0 -1.5
-2.0 4 3 2 1 0 -1 -2
Log Qs = 3.06 + 2.54 Log Q Y=2.004X^0.944
Scatterplot of Log Qs vs Log Q
Lampiran 6 Analiasis hidrograf tanggal 11 – 22 April 2010 di Sub DAS Melamon
Tanggal Curah Hujan (mm)
Debit (m3/s)
Base Flow
(m3/s)
Direct Run Off
(m3/s)
Volume
Direct Run Off(m3/hari)
Tebal
DirectRun Off
(mm)
Koefisien
Direct RunOff