شرکت مهندسین مشاور سروآب. (1392). گزارش مطالعات تصفیهخانه شماره 3 آب مشهد. مشهد. ایران.
زنگویی، حسین، دلنواز، محمد، و اسداله فردی، غلامرضا. (۱۳۹۵). مدلسازی فرآیند انعقاد و لختهسازی توسط روشهای استنتاج عصبی- فازی تطبیقی، شبکههای عصبی مصنوعی و رگرسیون فازی. مهندسی عمران مدرس، ۱۶(۳)، ۷۳-۸۵. URL: http://mcej.modares.ac.ir/article-16-2112-fa.html
قائدرحمتی، مجتبی، معاضد، هادی، و تیشهزن، پروانه. (1399). تخمین TSS خروجی تصفیهخانه فاضلاب اهواز با استفاده از مدلهای هوشمند. مجله علوم و تکنولوژی محیط زیست، 22(9)، 251-267. https://doi.org/10.22034/JEST.2019.37718.4377
Bagastyo, A.Y., Nurhayati, E., Manah, S.P.H., Iswari, A.A.W.R., Yulikasari, A., Warmadewanthi, I.D.A.A. & Lin, T.F. (2023). The role of aeration and pre-chlorination prior to coagulation-flocculation process in water treatment: A laboratory and field research in Indonesia. Case Studies in Chemical and Environmental Engineering, 7, 100352. https://doi.org/10.1016/j.cscee.2023.100352
Jiang, J.Q. (2015). The role of coagulation in water treatment. Current Opinion in Chemical Engineering, 8, 36-44. https://doi.org/10.1016/j.coche.2015.01.008
Khedher, M., Awad, J., Donner, E., Drigo, B., Fabris, R., Harris, M., Braun, K. & Chow, C.W. (2023). Using the Flocculation Index to optimise coagulant dosing during drinking water treatment. Journal of Water Process Engineering, 51, 103394. https://doi.org/10.1016/j.jwpe.2022.103394
Moreira, V.R., Guimaraes, R.N., Moser, P.B., Santos, L.V., de Paula, E.C., Lebron, Y.A., Silva, A.F.R., Casella, G.S. & Amaral, M.C. (2023). Restrictions in water treatment by conventional processes (coagulation, flocculation, and sand-filtration) following scenarios of dam failure. Journal of Water Process Engineering, 51, 103450. https://doi.org/10.1016/j.jwpe.2022.103450
Nadiri A., Shokri S., Tsai F. & Moghaddam A. (2018). Prediction of Effluent Quality Parameters of a Wastewater Treatment Plant Using a Supervised Committee Fuzzy Logic Model. Journal of Cleaner Production, 180, 539-549. https://doi.org/10.1016/j.jclepro.2018.01.139
Pai, T. Y., Yang, P. Y., Wang, S. C., Lo, M. H., Chiang, C. F., Kuo, J. & LChang, Y.H. (2011). Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality. Applied Mathematical Modelling, 35(8), 3674-3684. https://doi.org/10.1016/j.apm.2011.01.019
Ruan, J., Zhang, C., Li, Y., Li, P., Yang, Z., Chen, X., & Zhang, T. (2017). Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor. Journal of Environmental Management, 187, 550–559. https://doi.org/10.1016/j.jenvman.2016.10.056
Tanaka, H. (1987). Fuzzy data analysis by possibility linear models, Fuzzy Sets and Systems, 24(3), 363- 375. https://doi.org/10.1016/0165-0114(87)90033-9
Zabaleta, A., Pascual Fernandez, P., Prados-Castilloc, J., and Castro-Pardo, M. (2022). Constructing fuzzy composite indicators to support water policy entrepreneurship, Sustainable Technology and Entrepreneurship, 1(3), 100022. https://doi.org/10.1016/j.stae.2022.100022
Zadeh, L.A. & Aliev, R.A. (2018). Fuzzy logic theory and applications: part I and part II. World Scientific Publishing. https://doi.org/10.1142/10936
ارسال نظر در مورد این مقاله