Step 1: Recall the classification of flow profiles in gradually varied flow (GVF).
- Flow profiles depend on:
(i) The slope of the channel (mild, steep, horizontal, adverse, critical).
(ii) The depth of flow relative to the normal depth ($y_n$) and critical depth ($y_c$).
- For a mild slope (M), we have:
$y_c < y_n$ (critical depth is smaller than normal depth).
Step 2: Case of supercritical flow entering mild slope.
- Supercritical flow means actual depth of flow $y < y_c$.
- Since $y < y_c < y_n$, the depth is below the critical depth region.
- By GVF profile classification, this corresponds to M$_3$ profile.
Step 3: Verification.
- M$_1$: Depth $> y_n$ (not possible here).
- M$_2$: Depth between $y_c$ and $y_n$ (not possible since $y < y_c$).
- M$_3$: Depth $< y_c$ (true in case of supercritical flow).
\[
\boxed{\text{The flow profile becomes M$_3$.}}
\]
In levelling between two points A and B on the opposite banks of a river, the readings are taken by setting the instrument both at A and B, as shown in the table. If the RL of A is 150.000 m, the RL of B (in m) is ....... (rounded off to 3 decimal places). 
A one-way, single lane road has traffic that consists of 30% trucks and 70% cars. The speed of trucks (in km/h) is a uniform random variable on the interval (30, 60), and the speed of cars (in km/h) is a uniform random variable on the interval (40, 80). The speed limit on the road is 50 km/h. The percentage of vehicles that exceed the speed limit is ........ (rounded off to 1 decimal place). 