Abstract
The broad objective of the present study is to estimate the daily runoff from the rainfall data using SCS-CN (Soil Conservation Service-Curve Number) method for Kothapally agricultural field. The data of daily, monthly, and yearly rainfall, temperature, relative humidity, wind speed, evaporation data of 11 years data from 2006–2016, was collected from the ARI (Agricultural Research Institute, Rajendra Nagar), Hyderabad. The data collected such as rain fall and also analyzing temperature, and humidity and wind velocity, relative humidity which is collected from the ARI (Agricultural Research Institute), Rajendra Nagar data collected from the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), and NIRD (National Institute of Rural Development) Hyderabad, and Fifth economic census 2005 issued by the Directorate of Economics & Statistics, Hyderabad. The present study area Kothapally agricultural field involves collection of service data like satellite data, survey of India topo sheets, and prepares various thematic maps like base map, contour map, drainage map, soil map, slope map, land use/land cover map are prepared by using survey of India topo sheets and satellite imageries. The methodology is used for the analysis of data is the Soil Conservation Service-Curve Number (SCS-CN) for computation of runoff, and regression analysis by using rainfall and estimated runoff of daily, monthly, yearly from collecting data and also calculate the correlation coefficient and coefficient of determination.
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Ramana, G.V., Suresh Kumar, R., Balakrishna, P. (2019). Restoration of Ecological Balance Through Regression Analysis in Kothapally Agricultural Fields. In: Rao, P., Rao, K., Kubo, S. (eds) Proceedings of International Conference on Remote Sensing for Disaster Management. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-77276-9_74
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