Software Development Estimation of Pressure Irrigation System Costs at Tehran University – | Iranian and world news

Researchers at the University of Tehran Irrigation and Development Engineering have achieved important practical results by conducting a study titled “Modeling the Cost of Popular Irrigation Systems”, which has played a key role in optimizing the processes of planning and management of water and soil projects.

Khaled Ahmad al -Ali, a faculty member at the University of Tehran, said: “With the intensification of the water crisis in Iran and the world, the change of irrigation systems from surface methods to pressure irrigation systems is one of the most practical and main solutions to optimizing water resources and increasing water productivity.” This solution can play a key role in the sustainability of water resources by adopting an integrated water resource management approach. Since the implementation of pressure irrigation projects to protect water and soil resources and increase agricultural production in upstream documents and the seventh development plan is emphasized; Optimal allocation of credits and pre -awareness of the cost of irrigation systems is important.

He added: “Currently, the allocation of credits to these projects is based on the area of ​​the design and regardless of environmental factors affecting the cost of the system such as water source, soil, product, climate, management and so on.” The current approach is not accurate and causes injustice and waste of resources. Therefore, one of the most important needs of the Planning and Budget Organization, the Ministry of Agriculture Jihad, the Ministry of Energy, Water Users and Consulting and Contractor Engineers Companies, is the accurate estimation of the cost of these projects before design and implementation. Given the considerable extent of the underlying irrigation and its development potential, identifying and modeling factors affecting system costs will play a significant role in reforming the planning of credits at national and provincial levels.

A faculty member of the University of Agriculture and Natural Resources of Tehran University in explaining the process of this study said: For this purpose, in the first phase of a comprehensive database including independent variables (affecting cost factors) and affiliated variables (the cost of different sections of each system) from the sprinkler and topical irrigation projects in different parts of the country, in full detail. The dependent variable of this study was the cost of irrigation systems, including the cost of the pumping station and the central control system “,” the cost of in -field supplies “,” the cost of installation and implementation of the pumping system and the pumping station “and” total cost “. In the next phase, using different features of the feature selection techniques, identified the most important and effective features on the cost of different sections. To do this, the feature was selected with different WCC, LCA, GA, PSO, ACO, ICA, LA, HTS, FOA, DSOS and CUK.

He added: “Using the most effective variables selected, different multicolor regression models, backup vector regression, artificial neural networks, gene expression planning, genetic algorithm, decision tree and deep learning were used to estimate the costs of each section and were introduced based on different models.

Dr. Ahmad Ali said: “After identifying the top features and top models, research enters the most important step; That is, the software was developed. ISce software (IRIRIGATION SYSTEMS COST ESTIMATOR) is capable of estimating the cost of different parts of the system by receiving zodial variables in the pre -designing step for two rainy and topical irrigation systems. The conclusion and evaluation of the software indicated the ability to develop and generalize its results to the international level. With a number of zodial features, ISCE software can help policymakers, managers, researchers, students, consultants, contractors and other concerned people in the water field as a scientific and technical tool.

It should be noted that the design and development of this software has been completed in the form of a doctoral dissertation with Masoud Pour Gholam Amiji under the guidance of Abdul Majid Liqat and Khaled Ahmadali. The results of the research team have been published in several prestigious domestic and international scientific articles. The article “A novel Early Stage Drip IRIRIGATION COSTM COST ESTIMATION MODEL BASED on Management and Environmental Variables” has been published in the journal Nature Scientific Reports.