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Today floods are very commonly occurring natural disaster in the world. Flood damages all kind of lives i.e. humans, animals and vegetation, and destroys environments. Very heavy losses are sustained to the economy during floods. Looking at the flash flood data for the 2 or 3 decades, the speed of flood has increased due to global warming.1 Therefore, engineers and planners want to get accurate time of these events. Technology has extensively been used to study the severity of flood damages, i.e. constructively or non-constructively. Constructive measures require huge amounts of money and time. This is due to the fact that things to consider include; making of dams, reservoirs and change to river flow. As far as the non-structural measures are concerned they include floodforecasting to plan for floods and to provide relief if floods occur. Time series analysis predicts future values by analysis of data taken from the past. Pakistan lies in the Western region of the Asian Subcontinent where it stands 23 degrees to 37 degrees north and rom 60 degrees to 77 degrees east. Pakistan has five provinces and a tribal area; Punjab, Sindh, Khyber Pakhtunkhwa, Balochistan & Gilgit-Baltistan. All of these places face different types of weather conditions. There are temperature variations in the four seasons throughout the year. Different conditions including heavy rain, bring floods. The snow melts on the mountains canal so cause floods. Pakistan has long history of floods in River Indus and it nearby areas. Pakistan has coped with many floods in 1950, 1956, 1973, 1976, 1978, 1988, 1992 and 2010. Graphs or sketches of floods between the years 1922 and 2010 vary. The 2010, flood proved to be the most unfavorable, devastating and calamitous in the history of Pakistan. This research is an attempt to scrutinize the consequences of floods on habitat along the marked off flood areas of Indus River of Pakistan.

A neuro-fuzzy modeling for the hydrological time series of floods of river indus of Pakistan