Inflow Forecasting Analysis for Nagarjunasagar Dam Andhra Pradesh using Time Series Statistical Models
B. Pradeepakumari1, K. Srinivasu2
1B. Pradeepakumari, Department of Civil Engineering, Acharya Nagarjuna University, Guntur (Tamil Nadu), India.
2K. Srinivasu, Department of Civil Engineering, RVR&JC Engineering College, Guntur (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1892-1895
| Volume-8 Issue-7, May 2019 | Retrieval Number: G6217058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Krishna river based dams are an important part of socio economic growth of Andhra Pradhesh. Nagarjuna sagar dam is one of them. Historically it has been providing unprecedented value to Andhra Pradesh. Analysis of this dam’s history like patterns of water inflow, outflow, capacity of dam at various times is performed here. This detailed analysis provides deeper insight for last fifteen year’s of dam data. Seasonal trends in data show how the water is used, and with what pattern dam inflow occurs. Also, auto correlation of various dam variables is calculated to improve forecasting models. Additionally, here data is cleaned, outliers are handled, and missing values are filled. This pretreatment of data leads to better analytical perspectives from data. Such analytical study is helpful in prediction of future trends related this reservoir.
Keyword: Nagarjuna Sagar Dam, Water Inflow and Outflow, Dam Capacity, Data Analysis.
Scope of the Article: Advanced Computing Architectures and New Programming Models.