Rural communities in the Koshi River basin, a trans-boundary river basin in the Hindu Kush-Himalayas, have been experiencing unprecedented difficulties for adapting with the livelihood challenges arising from floods, droughts and other climatic, environmental and socio-economic stresses. The single purpose adaptation approach often fails to address the multiple challenges arises from cascading effects of climate change at different scales and stages.
Floods are one of the most devastating natural events that lead to enormous and recurring loss of life, properties, and resources around the globe. In India, floods remain a recurrent event during the monsoon season in many parts of the country but most seriously in the flat and monotonous Gangetic plains in the Himalayan foreland.
Agriculture is the prime requirement for sustaining human life on earth, and agriculture sustainability depends on soil health and suitable climatic variations. Human have adopted many local-weather-dependent crop types and its cultivation patterns based on knowledge about long term climatic and environmental conditions. Any anomaly in these factors would result in unforeseen reduction in the food production and associated socio-economic chaos at local/regional to global scale.
Vulnerability assessment using composite indices provides critical information for the policymakers on why certain regions are impacted more than the others. Several researchers have assessed the vulnerability to hazard in diverse spatial and environmental settings, however, not many studies have assessed the vulnerability to flood hazards in Bihar, where flooding is a perennial event.
Floods cause catastrophic destruction to life and livelihood in South Asia than any other parts of the world. This research assessed long term (2001 to 2015) flood risk at South Asia level using eight-day Moderate Resolution Imaging Spectroradiometer data and subsequently expanded this methodology to identify potential zones for piloting flood index insurance scheme in Bihar, India.
The Kosi megafan region of eastern Bihar, India, comprising of eight districts, is regularly afflicted by large floods that cause extensive damage. Mapping the possible inundation susceptible zones in the region accurately is, therefore, paramount for land resource conservation and livelihood preservation. This paper compares the relative efficiency of two flood zonation methods, the frequency ratio and fuzzy logic models, for flood susceptibility evaluation and delineation.