Sensitivity Analysis of Parameters Affecting the Early Cost of Drip Irrigation Systems Using Meta-Heuristic Algorithms

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Pourgholam Amiji M.; Ahmadaali Kh.; LIAGHAT A.

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Journal Paper

Paper Information

Journal: Iranian Journal of Irrigation and Drainage Year:2021 | Volume:15 | Issue:4 Page(s): 737-756

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Information Journal Paper

Title

Sensitivity Analysis of Parameters Affecting the Early Cost of Drip Irrigation Systems Using Meta-Heuristic Algorithms

Author(s)

Pourgholam Amiji M. | Ahmadaali Kh. | LIAGHAT A. | Issue Writer Certificate

Keywords

Gamma Test

Genetic Algorithm

Hill Climbing

Full Embedding

Pressurized Irrigation

Abstract

Asset allocation to Pressurized Irrigation systems along with evaluating their efficiency has been considered by water industry experts and officials in recent years. To this purpose, identifying the factors and components affecting the costs of an irrigation system is a very important issue that has received less attention. On the other hand, one of the main problems of data-based modeling is determining the most effective input variables in estimating a given output. Gamma Test is one of the most important tools that can be used to analyze the sensitivity and select the most important feature from a large number of features affecting the output. Therefore, this study aims to determine the most effective features on the cost of drip irrigation systems in four parts, including the Cost of pumping station and central control system (TCP), Cost of on-farm equipment (TCF), Cost of installation and operation on-farm and pumping station (TCI) and Total cost (TCT). First, data of 100 drip irrigation projects implemented in different parts of the country were collected and it was prepared a database containing 39 important and influential variables in the cost of the mentioned parts. WinGamma software was used to analyze the sensitivity and select input variables affecting the cost of different parts of drip irrigation systems. Based on the sensitivity analysis, the best evaluation criteria were obtained in TCP and the numerical amount of gamma statistic, Expected Absolute Error, Gradient statistic, Standard Error of Γ, , coefficient of determination (R2), and V-Ratio index were recorded as 0. 048, 0. 219, 0. 008, 0. 024, 0. 87 and 0. 192, respectively, which indicate the high correlation between the experimental variables and the cost of the corresponded sector. To find the optimal combination of data for cost modeling, we used Genetic Algorithm (GA), Hill Climbing (HC), and Full Embedding (FE). The results showed that the number of required variables and the optimal input combination, which covered 40 and 90% of the variables (16 and 35 variables, respectively) in GA and HC method reached 20% in the FE method and only eight variables were selected for cost modeling and also the results of this method were selected as the superior model. Moreover, the result of the hybrid model revealed the simplest and most optimal model was obtained when QT (l/s) (total amount of available water flow), SR (m) (plant row spacing), QE (l/s) (emitter flow), T (h) (number of working hours per day) and NIT (n) (number of irrigation shifts) were used as the optimal input combination to modeling the cost of drip irrigation systems. Therefore, the results of this study can be used to identify the variables affecting the costs of Pressurized Irrigation systems and finally the economic modeling of these systems.

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APA: Copy

Pourgholam Amiji, M., Ahmadaali, Kh., & LIAGHAT, A.. (2021). Sensitivity Analysis of Parameters Affecting the Early Cost of Drip Irrigation Systems Using Meta-Heuristic Algorithms. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 15(4 ), 737-756. SID. https://sid.ir/paper/1054363/en

Vancouver: Copy

Pourgholam Amiji M., Ahmadaali Kh., LIAGHAT A.. Sensitivity Analysis of Parameters Affecting the Early Cost of Drip Irrigation Systems Using Meta-Heuristic Algorithms. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2021;15(4 ):737-756. Available from: https://sid.ir/paper/1054363/en

IEEE: Copy

M. Pourgholam Amiji, Kh. Ahmadaali, and A. LIAGHAT, “Sensitivity Analysis of Parameters Affecting the Early Cost of Drip Irrigation Systems Using Meta-Heuristic Algorithms,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 15, no. 4 , pp. 737–756, 2021, [Online]. Available: https://sid.ir/paper/1054363/en

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