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بهینه سازی پارامترهای طراحی سیستم زهکش زیرزمینی با استفاده از الگوریتم چند جهانی در شرایط ماندگار | ||
| تحقیقات مهندسی سازه های آبیاری و زهکشی | ||
| دوره 24، شماره 92، اسفند 1402، صفحه 22-1 اصل مقاله (1.01 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/idser.2024.364354.1568 | ||
| نویسندگان | ||
| ام البنی محمدرضاپور* ؛ میثم سالاری | ||
| دانشیار گروه مهندسی آب، دانشکده آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| چکیده | ||
| در این تحقیق، مدل بهینهسازی الگوریتم ژنتیک و چندجهانی برای بهینه سازی پارامترهای اصلی طراحی سیستم زهکشی زیرزمینی زمینه ای کشاورزی منطقه ای در اطراف شهرستان گرگان به کار گرفته شد. مساحت محدوده احداث سیستم زهکشی در حدود 200 هکتار بوده است. این محدوده به 25 قطعه ۸ هکتاری تقسیم شد. هزینههای طرح بر اساس وضعیت و مشاهدات اقتصادی روز کشور و بر مبنای اعداد و ارقام اجرایی واقعی کشور ایران در سال 1397محاسبه شدند. با استفاده از الگوریتم ژنتیک و چندجهانی، پارامترهای طراحی به گونهای انتخاب شدند که منجر به کمترین هزینۀ اجرایی سیستم زهکشی زیرزمینی شوند. در این راستا، با تلفیق رابطۀ ماندگار هوخهات و الگوریتمهای بهینه سازی، پارامترهای طراحی انتخاب گردیدند. نتایج نشان دادند که با در نظر گرفتن مقادیر اولیه 1/5، 2/25 و 2/5 به ترتیب برای پارامترهای شدت تخلیه یا زهکشی از واحد سطح (q)، فاصله لایه غیرقابل نفوذ تا زیر عمق نصب زهکش (D)، عمق تثبیت سطح ایستابی (در وسط دو زهکش) از سطح زمین (H) بهترین پارامترهای طراحی با استفاده از الگوریتم ژنتیک با توجه به معیارهای اجرایی زهکش ها شامل قطر، فاصلۀ زهکش ها، عمق بهینه و هزینه ها برای یک قطعه 8 هکتاری شامل 100 میلیمتر، 54 متر، 2/11 متر و 70/604 میلیون تومان بهدست آمده است. در الگوریتم جندجهانی نیز این مقادیر به ترتیب 100 میلی متر، 61/3 متر، 2/25 متر و 63/709 میلیون تومان به دست آمده است. مقادیر هزینۀ طرح با افزایش عمق مجاز نصب زهکش کاهش مییابد که کمترین و بیشترین هزینههای بهدست آمده در الگوریتم ژنتیک برای حداکثر عمق مجاز نصب 1/75 و 3/5 متر به ترتیب برابر با 110/226 و 51/814 میلیون تومان و در الگوریتم چندجهانی به ترتیب برابر با 110/223 و 51/782 میلیون تومان به دست آمد. | ||
| کلیدواژهها | ||
| الگوریتم ژنتیک؛ بهینهسازی؛ سیستم زهکشی؛ هزینه اجرا | ||
| عنوان مقاله [English] | ||
| Optimization of design parameters of underground drainage system using multi-global algorithm in steady state | ||
| نویسندگان [English] | ||
| omolbani mohammadrezapour؛ meysam salarijazi | ||
| Associate Professor, Gorgan University of Agricultural Sciences and Natural Resource | ||
| چکیده [English] | ||
| Extended Abstract Introduction In the design of underground drainage systems, the depth, diameter and distance of the drains are important decision making variables. Depending on the type of target, different combinations of them can be used. In the usual drainage designs, the design variables of the depth and diameter of the drain are determined by using experience and the conditions and facilities of material preparation, and the distance of the drains, after determining the drainage coefficient and water balance, is determined by using the Hooghoudt equation. Since design variables are intrinsically interdependent, methods can be used to determine the best combination of variables that leads to minimum implementation costs. The aim of this research is to optimize the design parameters of underground drainage systems with an economic approach. Optimization is finding the best solution in order to minimize or maximize one or more objectives by observing the constraints of the problem. The present study was conducted based on the current economic situation and observations of the country and on the basis of the actual executive figures of Iran in 2018. In this research, genetic and multiverse algorithm optimization model was used to optimize the main design parameters of the underground drainage system of regional agricultural lands around Gorgan city. Methodology In this research, Genetic and multiverse algorithm optimization model was used to optimize the main design parameters of the underground drainage system of regional agricultural lands around Gorgan city. The area of the construction area of the drainage system was around 200 hectares. These areas were divided into 25 plots of 8 hectares and project costs were calculated for each. Using genetic and multi-world algorithm, the design parameters were selected in such a way as to lead to the lowest implementation cost of the underground drainage system. In this regard, the design parameters were selected by combining Hooghoudt equation and optimization algorithms. Results and Discussion By applying the genetic algorithm optimization model to the data of the studied lands, the optimal parameters were calculated. Considering the entire search area (permissible depth of drainage installation from 1.5 to 3.5 meters from the ground surface), the results showed that, by entering the drainage coefficients of 1.5, 2, 2.5, 3, 3.5, 4 and 4.5 mm per day the lowest cost of 49.9 million Tomans was obtained in 8 hectares with a drainage coefficient of 4 mm per day, at a depth of 3.13 meters from the ground surface with an installation distance of 79.8 meters and a diameter of 100 mm. Also, the optimal parameters were calculated by applying the multiverse algorithm optimization model. The results obtained from Aliabad land input data showed that by entering the drainage coefficients of 1.5, 2, 2.5, 3, 3.5, 4 and 4.5 mm per day, the lowest cost is equivalent to 49.8 million tomans in an 8-hectare unit with a drainage coefficient of 4 mm per day was obtained at a depth of 3.13 meters from the ground surface with an installation distance of 80 meters and a diameter of 125 mm. The best design parameters using the genetic algorithm according to the implementation criteria of the drains including diameter, the distance of the drains, the optimal depth and also the costs for an 8-hectare plot including 100 mm, 54 m, 2.11 m and 70.604 million Tomans have been obtained. In the multiverse algorithm, these values are 100 mm, 61.3 meters, 2.25 meters and 63.709 million Tomans, respectively. Also, the cost of the project decreases with the increase of the allowed depth of the drain installation, the lowest and highest costs obtained in the genetic algorithm for the maximum allowed installation depth of 1.75 and 3.5 meters are equal to 110.226 and 51.814 million Tomans, respectively. In the multi-world algorithm, it was obtained as 110.223 and 51.782 million tomans, respectively. Conclusions In this research, the optimization model of genetic and multiverse algorithm for lands around Gorgan city was used. The construction area of the drainage system was about 200 hectares. These areas were divided into small plots of 8 hectares and the design costs for that small unit were calculated. Therefore, 25 units of 8 hectares have been considered for the study area. In this study, using genetic and multi-verse algorithms, these parameters were selected in such a way as to lead to the lowest operating costs of the underground drainage system. Results showed the best design parameters using the genetic algorithm according to the implementation criteria of the drains including diameter, the distance of the drains, the optimal depth and also the costs for an 8-hectare plot including 100 mm, 54 m, 2.11 m and 70.604 million Tomans have been obtained. In the multiverse algorithm, these values are 100 mm, 61.3 meters, 2.25 meters and 63.709 million Tomans, respectively. Acknowledgement The responsible author of the article is grateful to the Jihad Keshavarzi Organization of Gorgan, this research was carried out with the financial support of this organization. | ||
| کلیدواژهها [English] | ||
| Design parameters, Optimization, Drainage system, Implementation cost | ||
| مراجع | ||
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Akbari Mazdi, R.A. & Lotfalian, M. & Ghanbarpour, M.R. 2009. Determination of Culverts Diameter in Forest Roads. Journal of Wood & Forest Science and Technology, 16(1), 89-103. Aslani, F., Nazemi, A., Sadreddini, A., Fakherifard, A., and Ghorbani, M. A. 2010. Underground drainage depth and distance estimates based on drainage water quality. Journal of Soil and Water Research, 41, 139-146. Bakour, A., Zhang, Z., Zheng, C., A ALsakran, M., & Bakir, M. 2021. The Study of Subsurface Land Drainage Optimal Design Model. Mathematical Problems in Engineering, 2021. Bhagu, R. Ch and P. V. Ghanshyam .2010. Optimal Spacing in an Array of Fully Penetrating Ditches for Subsurface Drainage, Journal of Irrigation and Drainage Engineering, (ASCE), 136(1), 63-67. Chahar, B. R., & Vadodaria, G. P. 2010. Optimal spacing in an array of fully penetrating ditches for subsurface drainage. Journal of irrigation and drainage engineering, 136(1), 63-67. Christen, E. W. and Skehan, D. 2001. Design and management of subsurface horizontal drainage to reduce salt load. Journal of Irrigation and Drainage Engineering, ASCE 127(3):148-155. Iqbal, M. & Lnarnullah, A, & Ahrnarf, M. 2007. Optimal design of a subsurface pipe drainage system, Pak. Journal of Agricultural Science, 44(1), 159-163. Mazandarani Zadeh, H., Zadesh Pargo, R., & Daneshkar Arasteh, P. 2019. Optimization of Drainage Design Parameters with the Aim of Reducing Environmental Damage in Steady-State Conditions. Journal of Environmental Science and Technology, 21(6), 155-165. Mazandarani Zadeh, H. 2016. Drainage System Design by Multi-Objective Algorithm NSGA-II with Economic and Environmental Approach. Iran-Water Resources Research, 12(3), 142-152. Mohammadrezapour, O., Shui, L. T., & Dehghani, A. A. 2011. Genetic algorithm model for the relation between flow discharge and suspended sediment load (Gorgan River in Iran). Electronic Journal of Geotechnical Engineering, 16, 539-553. Razi, F. & Sotoodehnia, A. &, Daneshkar Arasteh, P. & Akram, M. 2012. A Laboratory Test on the Effect of Drain Installation Depth on Drain Water Salinity (from a Clay-Loam Soil Profile). Iranian Journal of Soil and Water Research, 43(3), 281-288. Soleimani Nanadegani, M. & Parsi Nejad, M. & Nori, H. 2010. Estimating the costs of installing underground pipe drains. The Third National Conference on Management of Irrigation and Drainage Networks. Fev 20. Ahvaz, Khozestan, Iran. Valipour, M. 2012. Effect of drainage parameters. change on amount of drain discharge in subsurface drainage systems. Journal of agriculture and veterinary science, 1, 10-18. Zadesh Pargo, R. & Mazandarani Zadeh, H. & Daneshkar Araste, P. (2016). Subsurface Drainage System Design to Minimize Construction Costs under Steady-State Conditions. Journal of Water Research in Agriculture, 29(1), 117-128.
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