ارائه مدل ﺷﺒﻴﻪ‌ﺳﺎز-ﺑﻬﻴﻨﻪﺳﺎز آبخوان دشت روانسر-سنجابي با تلفيق مدل GMS و اﻟﮕﻮرﻳﺘﻢ ﺑﻬﻴﻨﻪﺳﺎزي ﭼﻨﺪﻫﺪﻓﻪ ملهم از بيليارد

Presentation of Simulator-Optimizer Model of Ravansar-Sanjabi aquifer by Combining GMS Model and Billiards-Inspired Multi-Objective Optimization Algorithm

در پژوهش حاضر، جهت ﺗﻌﻴﻴﻦ ﺳﻴﺎﺳﺖ ﺑﻬﻴﻨﻪ بهره‌برداري از آﺑﺨﻮان دشت روانسر-سنجابي در استان كرمانشاه، از يك مدل ﺷﺒﻴﻪﺳﺎز-ﺑﻬﻴﻨﻪﺳﺎز آب‌زﻳﺮزﻣﻴﻨﻲ استفاده شد. ﻣﺪل ارائه شده تركيبي از ﻣﺪل ﺷﺒﻴﻪﺳﺎزي آﺑﺨﻮانGMS و اﻟﮕﻮرﻳﺘﻢ ﺑﻬﻴﻨﻪﺳﺎزي ﭼﻨﺪﻫﺪﻓﻪ ملهم از بيليارد (MOBOA) در ﻣﺤﻴﻂ ﺑﺮﻧﺎﻣﻪﻧﻮﻳﺴﻲ متلب است. ابتدا، ﻣﺪل ﺟﻬﺖ ﺗﻌﻴﻴﻦ ﭘﺎراﻣﺘﺮﻫﺎي ﻫﻴﺪرودﻳﻨﺎﻣﻴﻜﻲ آﺑﺨﻮان واﺳﻨﺠﻲ و ﺻﺤﺖﺳﻨﺠﻲ شد. سپس با ﻛﻤﻴﻨﻪ ﻧﻤﻮدن ﺳﻪ ﺗﺎﺑﻊ هدف ﻛﻤﺒﻮد ﻧﺎﺷﻲ از ﻋﺪم ﺗﺄﻣﻴﻦ ﻧﻴﺎزﻫﺎ، اﻓﺖ تراز آب‌زيرزميني و ﺷﺎﺧﺺ اﺻﻼح ﺷﺪه ﻛﻤﺒﻮد، ﻣﺪل مذكور ﺑﺮاي ﻳﻚ دوره ﻳﻜ‌‌ﺴﺎﻟﻪ ﺑﺎ 12 دوره ﺗﻨﺶ ماهانه اﺟﺮا ﺷﺪ و ﺟﺒﻬﻪ پَرِتو ﺑﻬﻴﻨﻪ ﺣﺎﺻﻞ ﮔﺮدﻳﺪ. ﺑﻪﻋﻨﻮان ﻳﻚ ﻧﻤﻮﻧﻪ از ﺟﻮابﻫﺎي پَرِتو ﺑﻬﻴﻨﻪ ﻣﺤﺎﺳﺒﻪ ﺷﺪه، ﻣﺸﺎﻫﺪه ﺷﺪ در زﻣﺎﻧﻲ ﻛﻪ ﺳﻄﺢ اﻳﺴﺘﺎﺑﻲ ﺛﺎﺑﺖ ﺑﻤﺎﻧﺪ، ﻣﻘﺪار 7/11 ﻣﻴﻠﻴﻮن ﻣﺘﺮ ﻣﻜﻌﺐ از ﻧﻴﺎزﻫﺎ ﺑﺎ ﻛﻤﺒﻮد ﻣﻮاﺟﻪ ﺷﺪه و ﺷﺎﺧﺺ اﺻﻼحﺷﺪه ﻛﻤﺒﻮد ﺑﺮاﺑﺮ 15/17 ﻣﻲﮔﺮدد. ﺟﻬﺖ ﺗﻌﻴﻴﻦ ﺑﻬﺘﺮﻳﻦ ﮔﺰﻳﻨﻪ استحصال از آبزيرزميني ضروري است ضمن لحاظ نمودن ﻣﻌﻴﺎرﻫﺎي مختلف اﺟﺘﻤﺎﻋﻲ-اﻗﺘﺼﺎدي و حتي ﭘﻴﺎﻣﺪﻫﺎي زﻳﺴﺖ ﻣﺤﻴﻄﻲ ﺗﻮﺳﻂ ﻣﺴﺌﻮﻟﻴﻦ ﻣﺮﺑﻮﻃﻪ، ﺟﻮاب ﺑﻬﻴﻨﻪ ﻣﻨﺎﺳﺐ از ﻣﻴﺎن ﺳﺎﻳﺮ ﺟﻮابﻫﺎي ﺑﻬﻴﻨﻪ پَرِتو اﻧﺘﺨﺎب ﺷﺪه و ﻣﻘﺎدﻳﺮ استحصال ﻣﺘﻨﺎﻇﺮ ﺑﺎ ﺟﻮاب ﻣﻨﺘﺨﺐ ﺗﻌﻴﻴﻦ ﮔﺮدد. ﺑﺎ ﺗﺤﻠﻴﻞ ﻧﺘﺎﻳﺞ ﺣﺎﺻﻞ از ﺑﻪﻛﺎرﮔﻴﺮي ﺳﺎﺧﺘﺎر ﭘﻴﺸﻨﻬﺎدي ﻣﻲﺗﻮان درﻳﺎﻓﺖ ﻛﻪ روﻳﻜﺮد اراﺋﻪ ﺷﺪه از ﻛﺎراﻳﻲ ﺑﺴﻴﺎر ﺑﺎﻻﻳﻲ در ﺗﻌﻴﻴﻦ ﺳﻴﺎﺳﺖ ﺑﻬﻴﻨﻪ آﺑﺨﻮان برخوردار مي‌باشد

In the present study, a groundwater simulator-optimizer model was used to determine the optimal operation policy of Ravansar-Sanjabi plain aquifer in Kermanshah province. The proposed model is a combination of GMS aquifer simulation model and Billiard-Inspired Multi-Objective Optimization Algorithm (MOBOA) in MATLAB programming. First, the model was calibrated and validated to determine the hydrodynamic parameters of the aquifer. Then, by minimizing the three deficit objective functions comprises as the shortage affected by the failure to supply water demands, groundwater level drop and Modified Shortage Index (MSI), the model was implemented for a period of one year with 12 periods of monthly stress and the Pareto front was achieved. As one of Pareto optimal calculated responses, it can be observed that when groundwater level remains unchanged, 11.7 million cubic meters of demands will be in short supply and the amount of MSI will be 17.15. In order to specify the best option of operation policy, considering the socio-economic criteria as well as environmental consequences by the relevant officials, it is essential to select the suitable optimal response from the other Pareto optimal solutions and the corresponding withdrawal values will be determined. By studying the consequences of applying the proposed structure, it is worth noting that the proposed procedure has a high efficiency in determining the optimal aquifer strategy .