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Rating curve equation, zero-discharge stage 161.0 m

Short answer

Assuming Q = C(G-161.0)^b, log transformation and linear regression give C = 185.0 and b = 1.277. The rating equation is Q = 185 (G - 161.0)^1.28 m³/s.

The stage and discharge data of a river are given below. Derive the equation of rating curve (stage-discharge relationship) to predict the discharge for a given stage. Assume the value of stage for zero discharge as 161.0 m.

Stage (m)161.3161.7161.9162.8163.4163.8164.5165.4165.7
Discharge (m3^3/s)3012021045065082590010001050

Use the power form Q=C(G−a)bQ = C(G-a)^b with a=161.0a = 161.0 m. In logarithms: log⁡Q=log⁡C+blog⁡(G−a)\log Q = \log C + b\log(G-a), a straight line y=c+b xy = c + b\,x.

G (m)G - aQx=log⁡(G−a)x=\log(G-a)y=log⁡Qy=\log Qx2x^2xyxy
161.30.330-0.52291.47710.2734-0.7724
161.70.7120-0.15492.07920.0240-0.3221
161.90.9210-0.04582.32220.0021-0.1063
162.81.84500.25532.65320.06520.6773
163.42.46500.38022.81290.14461.0695
163.82.88250.44722.91650.20001.3041
164.53.59000.54412.95420.29601.6073
165.44.410000.64353.00000.41401.9304
165.74.710500.67213.02120.45172.0305
Sum2.218723.23651.87097.4184

With n=9n = 9 and ∑y2=62.2104\sum y^2 = 62.2104:

b=n∑xy−∑x∑yn∑x2−(∑x)2=9(7.4184)−(2.2187)(23.2365)9(1.8709)−(2.2187)2=1.277b=\frac{n\sum xy-\sum x\sum y}{n\sum x^2-(\sum x)^2}=\frac{9(7.4184)-(2.2187)(23.2365)}{9(1.8709)-(2.2187)^2}=1.277 log⁡C=∑y−b∑xn=2.2671  ⇒  C=185.0\log C=\frac{\sum y-b\sum x}{n}=2.2671\;\Rightarrow\;C=185.0

Rating equation: Q=185.0 (G−161.0)1.277Q = 185.0\,(G-161.0)^{1.277} (m3^3/s, GG in m)

The correlation coefficient is r=0.986r = 0.986, so the fit is good.

Check: at G=163.4G=163.4 m, Q=185.0×2.41.277=566Q = 185.0\times2.4^{1.277} = 566 m3^3/s (observed 650).

Answer: Q=185(G−161.0)1.28Q = 185(G-161.0)^{1.28}.

✓ Answer checked by Claude Sonnet 5.5

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