Identifying the morphological changes of a
Distributary of the ganges in response to the
Declining flow using remote sensing
Bank Erosion and Accretion
The definition of the terms bank erosion and accretion as used here is illustrated in Figure 6. Like the
bend migration, in Reach 5 the erosion and accretion rate is also quite high (Table 1). The bank lines as
derived from satellite images of 80 to 30 m resolution. Therefore, potential of errors in estimating the
erosion and accretion is inherent. Areas of erosion and accretion only in Reach 5 of the Gorai River is
presented in ha/km/year in the table. Similar to bend migration, in the period 1973 to 84, the river was
more active than it was during the period 1984-1997.
Figure 6 Area of erosion and accretion as seen
in an over lay of channels of two dates.
Table 1 Changes of meandering bend migration, and erosion and accretion rate in
response to the changes of annual flow volume
| River | Period
| Av. Annual flow volume (Mm 3 ) | Meandering bend migration rate (m/yr) |
Erosion (ha/km/yr) | Accretion (ha/km/yr) |
Gorai
Reach 5 | 1973-84 | 46,654 | 110 | 2.50 | 3.10 |
| 1984-97 | 32,708 | 72 | 2.00 | 2.00 |
Sinuosity
Sinuosity is the ratio between actual length of a reach of the river and the straight length of the reach
along the terrain slope. The length of the Kamarkhali bend is oscillating and sinuosity has been
changing within a range of 2.75 to 3.5, while the sinuosity of the straight reach downstream of the bend
is remained constant at close to 1.16. However, the changes of planform characteristics of these reaches
have not been linked with the declining process of the Gorai River. Reach 5 of the river has been
elongated by 16 km and the corresponding change of sinuosity is from 1.77 to 2.2 (Table 2). It could be
inferred that the river reduces its slope (in response to reduction in water and sediment supply
upstream) by becoming more sinuous. It endorses the observation of Adams (1919) in the other
distributaries of the Ganges. He noticed that a distributary become more tortuous during their process of
declination.
Table 2 Changes of sinuosity in response to the changes of annual flow volume
| River |
Period | Av. annual flow volume (Mm 3 ) | Sinuosity |
Gorai Reach 5 | Pre-Farakka (1964-73) | 47,410 | 1.77 (1973) |
Post-Farakka (1976-84) | 42,430 | 2.05 (1984) |
Post-Farakka (1984-97) | 32,520 | 2.20 (1997) |
Discussions
Applying remote sensing tools to study the morphological characteristics of the river mainly depends on
the scale of the river dynamics and the resolution of the images. With images having a resolution of
80m x 80m to 30m x 30m, it is only possible to estimate the changes of morphological parameters of a
river, the rate of changes of which are in the scale of tenths to hundredths of meters. The time intervals
of the images were selected in such a way that during the interval period the changes are in the range of
hundreds of meters. These changes are easily identifiable if bank line derived from one image is
superimposed on that of another image. The error that is related to the low resolution is less for the
cases of relatively high changes and vice-versa.

Figure 7 Changes of different morphological parameters of the Gorai River in
response to the reduction of flow
First, the Reaches 1 and 2 reacted in response to the changes of the hydraulic regime and the planform
of the Ganges River near the Gorai offtake. Subsequently, lower reaches reacted on the reduced Gorai
flows due to the huge sediment deposits in the first 2 reaches. Due to the consolidated nature of bank
materials the morphological parameters of Reach 1, 2 and 4 do not react as quickly as Reach 5. Tables 1
and 2, and Figure 7 show how the meandering migration rate, erosion and accretion rate, and sinuosity
of the river reach having loosely packed bank materials reacted with the diminishing of average annual
flow volume. It appears that the changes of the meandering migration rate, erosion and accretion rate
are proportional and the sinuosity is inversely proportional to the changes of the average annual flow
volume (Figure 7). It also suggests that Reach 5 is very dynamic and adjusts its morphological
parameter rapidly with the changes of hydraulic regime.
Conclusions
Using remote sensing technology it is possible to identify the trend of morphological changes of the
dynamic river reaches only. This trend can be used to predict the morphological changes in response to
the declining flow of the river. It is not possible to identify the trends of less dynamic river reaches,
because the older images available are of coarser resolution. However, in future this type of study can
be carried out even for the less dynamic rivers using the presently available high resolution images.
It is found possible to predict (using Tables 1 and 2, and Figures 5 and 7) the morphological changes of
the river reaches for the time scale of decades, because the data presented here are extracted from
satellite images at time intervals of 11 and 13 years. It also appeared to be possible to predict (using
Figure 5 and Table 1) a time range of occurring loop cuts in the meandering loops.
Acknowledgement
This study was carried out as part of the Environmental Impact Assessment (EIA) study for the Gorai
River Restoration Project. The authors like to acknowledge all the team members involved in the EIA
study.
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