Abstract
AbstractThe Global Land Data Assimilation System (GLDAS) takes satellite and ground-based observation and data products. This project aims to obtain the surface runoff data from GLDAS for a particular period of time of a specific region to study the rainfall and reasons of flood occurrences. The observed data of Wardha region, India, obtained from Central Water Commission (CWC) is compared with the extracted and calculated data from GLDAS to find the co-relation around 0.6–0.7. The images were filtered according to the clipped region found with the help of a shape file obtained from Bhuvan website of India. Total 9 co-ordinates are altered using the Arc-GIS application. The extracted data was clipped from the region according to the co-ordinate got from the Arc-GIS by filtering the images of (6–9) a.m. from 2000 to 2015 for each day. The GLDAS data is in kg/m2/3 h and the observed data from CWC is m3/s, i.e., volumetric flow. This project converted the obtained GLDAS data into desired units for comparing it with the observed data and represent it in the form of graph to show the values of both in pictorial representation and observe the heavy rainfall and flood occurrences during the period of 2000–2015.KeywordsGLDASCWCRunoffWardha basinBamniArc-GISPythonWater management
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
