Sediment Budgeting as a Tool for Sustainable Sediment Mining: Case Study
from a Bedrock River in Peninsular India
Abstract
The spatio-temporal variability of river processes is governed by the
balance between basin scale sediment supply and channel transport
capacity. This balance is being altered by rampant sediment mining from
the rivers which results in channel alteration and loss of physical
habitat. The sediment mining guidelines are mostly based on empirical
approaches and do not consider the spatio-temporal variability of river
processes. This study includes hydrologic and geomorphic analysis to
understand sediment dynamics and to suggest guidelines for sediment
mining. The study was carried out in the 1312 km long Narmada River
basin, Central India using hydrological data (1987-2015), SRTM DEM and
LULC data. We identified the major aggrading river reaches (100s of km
long) on the basis of reach scale sediment mass balance analysis. These
reaches are dominantly aggrading at the rate of ~50,000
tons/km/yr. Sediment yield values were used to identify major erosion
hot spots in the river basin and its contribution to spatial variability
in aggradation-degradation processes in the river channel. This spatial
variability within channel was also ascertained through stream power and
sediment supply relationship. Further, temporal variability in channel
processes was observed in the aggrading reaches. This variability is
mostly governed by sediment concentration. Higher sediment concentration
(~1.5 g/l) in a given month may change degrading reaches
into aggrading reaches. Spatial variability within aggrading reaches and
sediment contribution from different sub-basins was further assessed
through application of semi-distributed process based Soil and Water
Assessment Tool (SWAT). SWAT-CUP yielded good calibration results
(~ 40% of the measured data bracketed under the 95PPU
envelope, for discharge and sediment load). SWAT was found to be
suitable to analyze sediment yield distribution at HRU scale in the
Narmada River basin, except for smaller and steeper subbasins where
hillslope processes dominate. Further, spatial variability within these
reaches was identified by analysis of bar dynamics. Satellite data based
change detection analysis was used to identify aggrading channel bars.
These bars may be focused for sand mining operations within the
aggrading reaches, although limited to ~20% change in
the sediment bar area.