University of Tehran Press Iranian Journal of Soil and Water Research 2008-479X 56 1 2025 03 21 A Comprehensive Assessment of Water Resources Carrying Capacity in Anzali Wetland Using AHP-Entropy-CRITIC Combined Weighting Method and TOPSIS-GRA Model A Comprehensive Assessment of Water Resources Carrying Capacity in Anzali Wetland Using AHP-Entropy-CRITIC Combined Weighting Method and TOPSIS-GRA Model 105 126 101491 10.22059/ijswr.2024.384228.669817 FA Maedeh Keyvanfar Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran 0009-0001-4356-8574 Somaye Janatrostami Department of Water Engineering, College of Agriculture, University of Guilan, Rasht, Guilan. Afshin Ashrafzadeh Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran. Journal Article 2024 10 23 Urban wetlands are rapidly deteriorating due to urbanization and wastewater disposal, posing a threat to water quality and human livelihoods. Assessing the water resources carrying capacity (WRCC) of these wetlands is crucial to facilitate sustainable development and synergy between economic growth and water resource conservation. This study evaluated the WRCC of Anzali Wetland, located in the Fumanat region of Gilan Province, over a 10-year period (2011-2021). eight evaluation indicators were defined based on available data and information, considering three subsystems: water resources, economy, and environment. Each indicator was classified into four levels: I (loadable), II (weak), III (critical), and IV(Overload). The weight of each indicator was calculated using three methods: AHP, Entropy, and CRITIC. The weights obtained from the three methods were combined using the geometric mean. Subsequently, the annual values of each indicator, along with their corresponding weights and four evaluation levels, were applied to a model combining Grey Relational Analysis (GRA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Finally, based on the annual WRCC results, the obstacle factors were identified. The WRCC assessment indicated that the wetland has been in a overloading condition (IV) since 2013. The water resources subsystem is in a critical or overloading condition, reducing the overall carrying capacity, while the economic subsystem contributes to this capacity. According to the obstacle degree model results, the four main factors affecting the WRCC include the quality of incoming water, the percentage of water supply required, the percentage of water supply for upstream areas, and the ratio of total available water to the population. Urban wetlands are rapidly deteriorating due to urbanization and wastewater disposal, posing a threat to water quality and human livelihoods. Assessing the water resources carrying capacity (WRCC) of these wetlands is crucial to facilitate sustainable development and synergy between economic growth and water resource conservation. This study evaluated the WRCC of Anzali Wetland, located in the Fumanat region of Gilan Province, over a 10-year period (2011-2021). eight evaluation indicators were defined based on available data and information, considering three subsystems: water resources, economy, and environment. Each indicator was classified into four levels: I (loadable), II (weak), III (critical), and IV(Overload). The weight of each indicator was calculated using three methods: AHP, Entropy, and CRITIC. The weights obtained from the three methods were combined using the geometric mean. Subsequently, the annual values of each indicator, along with their corresponding weights and four evaluation levels, were applied to a model combining Grey Relational Analysis (GRA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Finally, based on the annual WRCC results, the obstacle factors were identified. The WRCC assessment indicated that the wetland has been in a overloading condition (IV) since 2013. The water resources subsystem is in a critical or overloading condition, reducing the overall carrying capacity, while the economic subsystem contributes to this capacity. According to the obstacle degree model results, the four main factors affecting the WRCC include the quality of incoming water, the percentage of water supply required, the percentage of water supply for upstream areas, and the ratio of total available water to the population. https://ijswr.ut.ac.ir/article_101491_bb079b13a2b7c707ef628caa5d3620a1.pdf