Abstract
Reckoning precipitation by means of customary methods has many breaks and various slips due to manual noticing which is the most unintended aspects for precipitation analysis. These errors in records rises the inconsistency and grounds uncertainty while using it in simulation modeling, sediment modeling and other such type of works. TMPA 3B42, a research product of the world’s foremost satellite in precipitation study is used in this work for rainfall variability analysis with good accuracy level. The integration of GIS and Remote Sensing acts as an operative tool for extracting and analyzing this precipitation product with spatially interpolating it over region. The objective of this work is to analyze the variability in rainfall over Shipra catchment between 1998 and 2012, and extraction of precipitation data from network common form data files. The study proves that the catchment has an exceedingly variable drift of rainfall in downstream portion. Also, the work results that there is high inconsistency in the year 2008 with fall in rainfall all over the catchment while precipitation was found very less in 2000 and high in 2006 followed by the year 2011. This work also states that downstream portion of the study area leftovers in dearth rainfall condition most of the time but with a tad high runoff affecting the groundwater state in the area. Precipitation shortfall, diminishing water controlling structures and increasing land use is disturbing the water availability in the region.
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Gupta, A., Kumari, M., Rao, B.K. (2017). Spatial and Temporal Variability Analysis Using Modelled Precipitation Data in Upper Catchment of Chambal Basin. In: Abdalla, O., Kacimov, A., Chen, M., Al-Maktoumi, A., Al-Hosni, T., Clark, I. (eds) Water Resources in Arid Areas: The Way Forward. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-319-51856-5_5
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