تعداد نشریات | 44 |
تعداد شمارهها | 1,293 |
تعداد مقالات | 15,839 |
تعداد مشاهده مقاله | 52,053,922 |
تعداد دریافت فایل اصل مقاله | 14,842,317 |
استخراج الگوی بهینه رهاسازی جریان از مخزن سد مارون بر اساس الگوریتم چندهدفه بهینهسازی ازدحام ذرات | ||
دانش آب و هیدرولیک | ||
دوره 34، شماره 3، مهر 1403، صفحه 1-22 اصل مقاله (1.6 M) | ||
چکیده | ||
افزایش اطمینانپذیری تأمین نیاز مصارف مختلف در سیستمهای منابع آب همواره یکی از اهداف مورد تاکید برنامهریزان بوده است. برای حصول به این هدف، مدل برنامهریزی منابع آب سعی بر افزایش تعداد ماههای با درصد تأمین نیاز صددرصد بدون توجه به تعداد ماههای خشک دارد. این امر منجر به بروز دورههای خشک با درصد تأمین نیاز نزدیک به صفر در برخی از سالها میشود. هدف از این تحقیق استخراج منحنی فرمان بهینه سد است تا بتوان بر اساس آن در فصول پرآب بخشی از نیازهای پاییندست را رهاسازی کرد و بقیه آن در مخزن ذخیره شود تا در فصول کم آب مصرف شود تا شدت کمبود در ماههای کم آب کاسته شود. برای این منظور از ترکیب الگوریتم بهینهسازی چندهدفه ازدحام ذرات (MOPSO) و مدل شبیهساز WEAP برای بهرهبرداری بهینه از سد مارون در یک دوره 30 ساله تاریخی (مهر 1371 تا شهریور 1401) استفاده شد. در صورت بهرهبرداری از سیستم بر اساس الگوی موجود (سناریوی مبنا) در بسیاری از سالهای خشک در اکثر مصارف، درصد تأمین نیاز در چندین ماه متوالی نزدیک به صفر است. با اجرای مدل بهینهسازی درصد تأمین نیاز در ماههای بحرانی به مقدار 30 تا 60 درصد رسید. همچنین درصد تأمین نیاز زیستمحیطی در ماههای کم آب حدود 7 تا 15 درصد بیشتر شد. نتایج نشان داد استفاده از روش ارایه شده در این تحقیق علاوه بر تأمین قابل قبول نیازهای زیستمحیطی، منجر به کاهش شدت کمبود در تأمین مصارف شرب و کشاورزی و کاهش تعداد ماههای بحرانی با درصد تأمین بسیارکم خواهد شد. | ||
کلیدواژهها | ||
الگوی رهاسازی جریان؛ بهینهسازی؛ جره؛ مارون؛ MOPSO؛ WEAP | ||
مراجع | ||
Aboutalebi M, Bozorg Haddad O and Loáiciga HA, 2015. Optimal monthly reservoir operation rules for hydropower generation derived with SVR-NSGAII. Journal of Water Resources Planning and Management 141(11): 04015029-9.
Akbari H, Soncini A, Dinpashoh Y, Fakheri Fard A, Talatahari S and Bocchiola D, 2018. Operation of two major reservoirs of Iran under IPCC scenarios during the XXI Century. Hydrological Processes 32(21): 3254-3271.
Aman Jalili A, Najarchi M, Shabanlou S and Jafarinia R, 2023. Multi-objective optimization of water resources in real time based on integration of NSGA-II and support vector machines. Environmental Science and Pollution Research 30(6): 16464-16475.
Ashofteh PS, Bozorg Haddad O and Loáiciga HA, 2015. Evaluation of climatic-change impacts on multiobjective reservoir operation with Mmultiobjective genetic programming. Journal of Water Resources Planning and Management 141(11): 04015030-9.
Azarafza H, Rezaei H, Behmanesh J and Besharat S, 2012. Results comparison of employing PSO, GA and SA algorithms in optimizing reservoir operation (Case study: Shaharchai Dam, Urmia, Iran). Journal of Water and Soil 26(5): 1101-1108. (In Persian with English abstract)
Azari A, Akhoond-Ali AM, Radmanesh F, and Haghighi A, 2015. Groundwater–surface water interaction simulation in terms of integrated Water Resource Management (Case study: Dez Plain). Journal of Irrigation Science and Engineering 38(2): 33-47. (In Persian with English abstract)
Azari A and Arman A, 2020. Optimal utilization of water resources in real time based on Nsga-II algorithms and support vector machines (Case study: Gavoshan Dam). Journal of Irrigation Sciences and Engineering (JISE) 43(1): 189-204. (In Persian with English abstract)
Azari A, Hamzeh S and Naderi S, 2018. multi-objective optimization of the reservoir system operation by using the hedging policy. Water Resources Management. 32(6): 2061–2078.
Bayesteh M and Azari A, 2021. Stochastic optimization of reservoir operation by applying hedging rules. Journal of Water Resources Planning and Management. 147(2): 04020099.
Borhani Dariane A and Mortazavi Naeini SA, 2008. Comparison of heuristic methods applied for optimal operation of water resources. Water and Waste Water 19(4): 57-66. (In Persian with English abstract)
Coello CA, Pulido GT and Lechuga MS, 2004. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation Journal 8(3): 256 – 279.
Dariane AB and Moradi AM, 2008. Reservoir operating by ant colony optimization for continuous domains (ACOR) (Case study: Dez Reservoir). World Academy of Science, Engineering and Technology, International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. 2(7): 136-140.
Davani Motlagh A, Sadeghian MS, Javid AH and Asgari MS, 2021. Optimization of Taleghan dam reservoir operation using grey wolf algorithm and its hybrid with genetic algorithm. Quarterly Journal on Water Engineering. 9(2): 1-16. (In Persian with English abstract)
Dinpazhoh Y, Sattari MT, Ebrahimi S and Darbandi D, 2017. Optimum operation of reservoir using the genetic algorithm and particle swarm optimization (Case study: Alavian Dam). Water and Soil Science 27(2): 17-29. (In Persian with English abstract)
Fahmy HS, King JP, Wentzel MW and Seton JA, 1994. Economic optimization of river management using genetic algorithms. Paper No. 943034, ASAE 1994 International Summer Meeting, American Society of Agricultural Engineers. St. Joseph, Mich.
Fallah Mehdipour E and Bozorg Haddad O, 2012. Optimization of multipurpose reservoir operation with application particle swarm optimization algorithm. Journal of Water and Wastewater. 23(4): 97-105. (In Persian with English abstract)
Garousi-Nejad I, Bozorg-Haddad O, Loáiciga HA and Mari˜no MA, 2016. Application of the firefly algorithm to optimal operation of reservoirs with the purpose of irrigation supply and hydropower production, Journal of Irrigation and Drainage Engineering. 142(10): 04016041.
Goorani Z and Shabanlou S, 2021. Multi-objective optimization of quantitative-qualitative operation of water resources systems with approach of supplying environmental demands of Shadegan Wetland Journal of Environmental Management 292: 112769.
Hojati A, Farid-Hoseini A, Ghahreman B and Alizadeh A, 2013. Comparison of heuristic techniques in multi-objective optimization of water resources systems. Iran Water and Environmental Engineering. 1(2): 9-14.
Jalali MR, Afshar A and Marino MA, 2006. Reservoir operation by ant colony optimization algorithms. Iranian Journal of Science & Technology. 30(B1): 107-117.
Jalilian A, Heydari M, Azari A and Shabanlou S, 2022. Extracting optimal rule curve of dam reservoir base on stochastic inflow. Water Resources Management. 36(6): 1763-1782.
Kennedy J and Eberhart R, 1995. Particle swarm optimization. Pp.1942-1945. In: Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia.
Moeini R and Afshar MH, 2009. Application of an ant colony optimization algorithm for optimal operation of reservoirs: a comparative study of three proposed formulations. Scientia Iranica, Transaction A: Civil Engineering. 16(4): 273-285.
Nabi Nejad Sh and Mousavi SJ, 2013. Simulation-optimization for basin-wide optimum water allocation considering system’s performance and equity measures. Water and Waste Water. 24(2): 70-79. (In Persian with English abstract)
Oliveira R and Loucks D, 1997. Operating rules for multi-reservoir systems. Water Resource Research. 33(4): 839–852.
Rafiee Anzab N, Mousavi SJ, Rousta BA and Kim JH, 2016. Simulation optimization for optimal sizing of water transfer systems. In: Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) 382: 365-375.
Rezaei F, Safavi HR, Mirchi A and Madani K, 2016. F-MOPSO: an alternative multi-objective PSO algorithm for conjunctive water use management. Journal of Hydro-environment Research. 14: 1–18.
Saber Chenari K, Abghari H, Erfanian M and Gholizadeh S, 2013. Short-term model of optimization operation of water resources using particle swarm optimization and compared with genetic algorithm. Watershed Management Research (Pajouhesh & Sazandegi). 97: 63-72. (In Persian with English abstract)
Saber Chenari K, Abghari H and Tabari H, 2016. Application of PSO algorithm in short-term optimization of reservoir operation. Environmental Monitoring and Assessment. 188-667.
Shourian M, Mousavi SJ and Tahershamsi A, 2008. Basin-wide water resources planning by integrating PSO algorithm and MODSIM. Water Resources Management. 22: 1347–1366.
Tennant DL, 1976. Instream flow regimens for fish, wildlife, recreation and related environmental resources. Fisheries 1(4): 6-10.
Yarmohammadi E, Izadbakhsh MA, Rajabi A, Yosefvand F and Shabanlou S, 2022. Optimal operation of water resources systems using MOICA algorithm with reservoir hedging approach in low‐water regions. Irrigation and Drainage. 71 (2): 406-417.
Zeinali M, Azari A and Heidari M, 2020a. Simulating unsaturated zone of soil for estimating the recharge rate and flow exchange between a river and an aquifer. Water Resources Management. 34: 425–443.
Zeinali M, Azari A and Heidari MM, 2020b. Multi-objective optimization for water resource management in low flow areas based on a coupled surface water-groundwater model. Water Resources Planning and Management. 146(5): 04020020.
Zhang J, Wu Z, Cheng C and Zhang S, 2011. Improved particle swarm optimization algorithm for multi-reservoir system operation. Water Science and Engineering. 4(1): 61-73.
| ||
آمار تعداد مشاهده مقاله: 13 تعداد دریافت فایل اصل مقاله: 14 |