Vulnerability Assessment of Settlements on Gangetic Alluvial Flood Plain Along River Course
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Abstract
Presently, sustainability of floodplain, a diverse element of the riverine landscape, provides
newlinean ideal research setting for investigating complex interaction between anthropogenic
newlinedisturbance and eco-environmental degradation. Nowadays, these floodplains are continually
newlinedegraded and fragmented on account of unsustainable land use. Suitable site selection for
newlinesustainable human settlements in active floodplain areas is a critical task for decision-makers
newlinein terms of quality of lithology, ecologically fragile landmass, climate-induced hazards,
newlineimmense population pressure, and environmental conservation issues.
newlinePresent research assessed the trends of landuse/landcover changes of riverine floodplain for
newlinelast three decades through a supervised classification (maximum likelihood algorithm) method
newlineand predicted the probable transformations of the same for coming decades based on a Cellular
newlineAutomata-Artificial Neuron Network (CA-ANN) model clubbed with Modules for Land Use
newlineChange Evaluation (MOLUSCE) plugin of QGIS software. As a case study, an altered
newlinehydrological regime of lower Ganga riparian zone was chosen to analyze future riverine
newlinelandscape dynamics as those areas are most susceptible to riverine hazards. Outcome of
newlineresearch reveals that the trend of agriculture land, sand, and inland waterbody areas is reduced
newlineby 15.75%, 5.71%, and 1.95%, whereas, for orchard, agricultural fallow and bare land areas
newlineincreased by 7.94%, 7.92%, and 5.69% for the period from 1998 to 2018. The significant
newlinereduction of agricultural land and sand areas is largely an attribute to floodplain degradation
newlinein an altered hydrological regime. Ultimately, hydro-morphological changes, increasing
newlinepopulation pressure, and agriculture intensification in floodplain landscape were identified as
newlinemain driving forces in temporal landuse/landcover changes. The simulation model predicted
newlinethe continuation of the trend in degradation of the floodplain resulting in increasing
newlinevulnerability of livelihood.
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