Examination of Positioning and Potentiometric of Air Pumps for Nomadic Use and Wildlife in Tropical Areas of Ilam Province

Kheiri, Fayegh; Azizpanah, Amir; Rostami, Noredin; Koohi, Somayeh

doi:10.22034/jrenew.2025.219045

Examination of Positioning and Potentiometric of Air Pumps for Nomadic Use and Wildlife in Tropical Areas of Ilam Province

Document Type : Original Article

Authors

Fayegh Kheiri ¹

amir azizpanah ²

Noredin Rostami ³

Somayeh Koohi ⁴

¹ M.Sc. student, Mechanical Engineering of Renewable Energy Biosystem, Ilam University, Ilam, Iran

² Assistant Professor, Dipartment of Biosystem Mechanics, Ilam University, Ilam, Iran

³ Associate Professor, Department of Rangeland and Watershed Management, Ilam University, Ilam, Iran

⁴ M.Sc. Master's degree, Mechanical Engineering of Renewable Energy Biosystem, Ilam University, Ilam, Iran

https://doi.org/10.22034/jrenew.2025.219045

Abstract

In terms of geographical location and climate diversity,Ilam province is of interest to nomads.Most of the tropical regions have alluvial aquifers and can be exploited at shallow depths; which provides the possibility of using air pumps to extract the water needed by the nomads.In this research, the potential measurement of susceptible areas and the determination of suitable points were investigated in order to evaluate and model them in Ilam province.For this purpose, the air pump of Dashtleg region was evaluated for one working year.In the analysis of the average field data related to the seasons,the average wind speed and well discharge were the highest in the spring season and the lowest in the summer season.The results showed that the effect of wind speed and well water depth on the fully extracted discharge is evident.The deficit of water required by the nomads of the study area is about 1969920 liters in the last four months of the year from the wind pump.In the analysis of the wind pump with the statistical results recorded for five years of meteorology,the highest extracted discharge was recorded in December 2015 and 2017 with a rate of 1.168 liters per second.The highest amount of extracted energy in spring is 306.42 watts.The best network structure of the neural network in this research was 1-7-3 was estimated with 3 input layers and 7 neurons in the hidden layer and 1 output with the values of coefficient of determination (R2) equal to 97.16 and correlation coefficient of 0.96.

Keywords

Ilam"

pump"

potentiometric"

Deshteleg"

Subjects

Renewable Energy

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