A report on the urbanisation process in noida
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The amount and intensity of runoff at catchment scale are largely determined by the presence of
impervious land cover types, which are predominant in an urbanized area. This paper examines
the impact of different methods for estimating impervious surface cover on the prediction of
peak discharges as determined by a fully distributed rainfall-runoff model (WetSpa). The
study of River Yamuna and Hindon basin area shows detailed information on the spatial
distribution of impervious surfaces, as obtained/calibrated from remotely sensed data. It
produces substantial estimates of peak discharges for different types of urban land uses.
Land use and cover change in Noida during 1981–2011 and historical hydrological data
during 1957–2010 have been used to determine the results. It shows that the direct runoff
from urban areas is responsible for a flood event compared with runoff from other land use
areas. The interflow from forested, pasture and agricultural field areas contributes to the
recession flow. The study also demonstrates that sub-pixel estimation of imperviousness
may be a useful alternative for more expensive high-resolution mapping for rainfall-runoff
modeling at small scale based on pre-existing land use pattern and the two flooding
scenarios. The study proves that rapid urbanization has resulted in losses of farmland, forest
and shrub since 1995 as more than 36% of the forest and 22% of the shrub areas were
transformed into farmlands and settlements. The changed hydrological condition has
impaired the river’s flood protection capacity. Apart from natural processes, human activities
driven by socio-economic transformation are being considered as a major driver for the
increasing flood risks
impervious land cover types, which are predominant in an urbanized area. This paper examines
the impact of different methods for estimating impervious surface cover on the prediction of
peak discharges as determined by a fully distributed rainfall-runoff model (WetSpa). The
study of River Yamuna and Hindon basin area shows detailed information on the spatial
distribution of impervious surfaces, as obtained/calibrated from remotely sensed data. It
produces substantial estimates of peak discharges for different types of urban land uses.
Land use and cover change in Noida during 1981–2011 and historical hydrological data
during 1957–2010 have been used to determine the results. It shows that the direct runoff
from urban areas is responsible for a flood event compared with runoff from other land use
areas. The interflow from forested, pasture and agricultural field areas contributes to the
recession flow. The study also demonstrates that sub-pixel estimation of imperviousness
may be a useful alternative for more expensive high-resolution mapping for rainfall-runoff
modeling at small scale based on pre-existing land use pattern and the two flooding
scenarios. The study proves that rapid urbanization has resulted in losses of farmland, forest
and shrub since 1995 as more than 36% of the forest and 22% of the shrub areas were
transformed into farmlands and settlements. The changed hydrological condition has
impaired the river’s flood protection capacity. Apart from natural processes, human activities
driven by socio-economic transformation are being considered as a major driver for the
increasing flood risks
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