Artificial Neural Network Modeling for Monthly Evaporation
Journal Title: GRD Journal for Engineering - Year 2018, Vol 3, Issue 11
Abstract
Most of the available researches established a linear relationship between the parameters that affects the evaporation and the target evaporation. Now it is proved that the parameters which affect the evaporation are nonlinear in nature. This leads the whole researches towards the nonlinear estimation of evaporation. The evaporation affecting parameters are nonlinear and follow a very irregular trend so an Artificial Neural Network (ANN) has evolved a better technique to establish the structural relationship between the various entities. This paper examines the applicability of ANN approach to model the monthly evaporation. The input combinations to model monthly evaporation were selected on the basis of data’s statistical properties which were obtained from NIH observatory. The highest correlation coefficient valves during calibration and validation were (0.831, 0.819) with lowest RMSE valves (0.376, 0.261) respectively for best evaporation model [4-5-1]. This was obtained with all 4 input parameters namely, monthly rainfall, monthly maximum temperature, monthly minimum temperature and monthly relative humidity at the same time. The comparison was made between the observed and computed values of evaporation which emphasizes the usefulness of ANN technique for monthly evaporation estimation.
Authors and Affiliations
Aparajita Singh, A. R. Senthil kumar, R. M. Singh
Keywords
Related Articles
- EP ID EP548702
- DOI -
- Views 98
- Downloads 0
Digital Mafia ~ Decrypted
The Onion Routing (TOR) project is a network of virtual tunnels that facilitates secure, private communications on the internet. A recent statics shows that TOR bundle browser usage has increased in recent years statisti...
Real Implementation of a Single Sensor based PFC with Novel Converter Fed BLDC Motor Drive
This paper proposed scheme for the Sensor-less BLDC motor drive fed by a Zeta based PFC converter operating in DICM. The front end Zeta DC-DC converter maintains the DC link voltage to a set reference value. Switch of th...
Methodology for Prevention and Repair of Cracks in Building
Cracks in building are a common occurrence. It affects the stability and appearance of buildings. So, it is important to understand the cause of cracks and the effective measures should be taken for prevention. Though cr...
Innovative Step towards Balancing Green Space and Increasing Social Cohesion in Urban Environment: Smriti Van (Bhuj)
The main motive of this study to introduce the concept of Smriti Van to make memorial places in memories of people and as an urban planner point of view to balance the green space in urban areas. Natural resources are lu...
Multi-Factor Authenticated Key Exchange Scheme for Mobile Communications using Applied Cryptography
Authenticated key exchange is one of the most important applications in applied cryptography, the user interacts with a server to set up a session key to pre-registered information, authentication factor, like password o...