The world's water resources are decreasing day by day due to factors such as climate change, drought, inefficient pricing policies implemented by the government, population growth, uncontrolled water consumption, technological developments, and industrialization. A decrease in water resources causes water scarcity in the long-term period. This study is conducted to analysis the meteorological drought, in Izmir district, Turkey. Inspired by the real-life problem, drought estimation models are developed through artificial neural network-based artificial intelligence techniques incorporating a decision support system. The Zscore index (ZSI) values are computed using precipitation data collected from five meteorological station in Küçük Menderes basin, and several developed models are compared according to the variety of statistical performance metrics.

Water is a product that cannot be substituted for living creatures to survive. The availability of water resources is crucial. The balance of water availability can change with environmental factors, and as a result, living creatures struggle with water scarcity. This study includes the policy of water pricing in the Izmir district. A multiperiod water pricing model based on transportation and inventory carrying problems is developed for encouraging water consumption reduction. Different pricing policy scenarios are proposed using the developed model to provide sustainable water management and penalize high water use. The aim is to maximize consumer welfare and ensure fair distribution among groups.