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| Adamala, Sirisha. |
| Evapotranspiration (ET) is a key variable for hydrologic, climatic and agricultural studies. Accurate quantification of this variable is of utmost importance for irrigation management and crop productivity. With the availability of only meteorological variables in climatic stations, reference gross evapotranspiration (ETo) estimation is becoming a challenging task. Hence, there is a scope to estimate the ETo using various physical and empirical methods. Among physical methods, FAO-56 PM method is best and Artificial Neural Network (ANN) models are accurate empirical methods. Further, ETo can also be estimated using a water budget approach i.e. variable infiltration capacity (VIC) model, which accounts for the sub-grid variability of land use and land cover... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2018 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4342 |
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| Adamala, Sirisha; Singh, R; Raghuwanshi, NS; Prasad, Akhilesh; Chamoli, Ashish. |
| Hydrology, which deals with the study of water, is one of the fundamental courses to the undergraduate program of many disciplines: civil engineering, agricultural engineering, earth sciences, environmental sciences, geography, etc. This course covers various events of the hydrological cycle, namely, rainfall, runoff, hydrograph, infiltration, evapotranspiration, and flood routing. These events involve a large number of techniques and methods for the analysis, which are time-consuming. To enhance the learning, this study presents a tool called ‘Hydrologic Calculator’, an educational interface with eight modules for analyzing the various hydrological related events. In addition, ‘Help’ module in ‘Hydrologic Calculator’ provides a thorough understanding of... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2019 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4804 |
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