Forecasting impacts of climate change on changes of municipal wastewater production in wastewater reuse projects

Ahmadzadeh-Araji, 2018, Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models, Agric. Water Manag., 205, 63, 10.1016/j.agwat.2018.04.023 Asmat, 2018, An AOGCM based assessment of interseasonal variability in Pakistan, Clim. Dynam., 50, 349, 10.1007/s00382-017-3614-0 Bezdek, 1981, Objective function clustering, 43 Dehghani, 2019, Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization, J. Hydrol., 576, 698, 10.1016/j.jhydrol.2019.06.065 Eskandari, 2016, Desertification of forest, range and desert in Tehran province, affected by climate change, Solid Earth, 7, 905, 10.5194/se-7-905-2016 ILF, 2010 2014, 1 Langeveld, 2013, Climate change and urban wastewater infrastructure: there is more to explore, J. Hydrol., 476, 112, 10.1016/j.jhydrol.2012.10.021 Mahab, 2017 Mamdani, 1975, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man Mach. Stud., 7, 1, 10.1016/S0020-7373(75)80002-2 2017 Shrestha, 2020, Forecasting water demand under climate change using Artificial Neural Network: a case study of Kathmandu Valley, Nepal, Water Supply, 2020, 1 Studzinski, 2013, Development of mathematical models for forecasting hydraulic loads of water and wastewater networks, 736 Wei, 2015, Short-term prediction of influent flow in wastewater treatment plant, Stoch. Environ. Res. Risk Assess., 29, 241, 10.1007/s00477-014-0889-0 Wilby, 2013, The Statistical DownScaling Model: insights from one decade of application, Int. J. Climatol., 33, 1707, 10.1002/joc.3544 Wilby, 2002, Sdsm - a decision support tool for the assessment of regional climate change impacts, Environ. Model. Software, 17, 145, 10.1016/S1364-8152(01)00060-3 Zadeh, 1965, Fuzzy sets, Inf. Control, 8, 338, 10.1016/S0019-9958(65)90241-X Zhang, 2020, Measuring and testing interdependence among random vectors based on Spearman's ρ and Kendall's τ, Comput. Stat., 35, 1685, 10.1007/s00180-020-00973-5 Zhang, 2019, Predictive models for wastewater flow forecasting based on time series analysis and artificial neural network, Water Sci. Technol., 80, 243, 10.2166/wst.2019.263 Zouboulis, 2015, Effect of climate change in wastewater treatment plants: reviewing the problems and solutions, 197