Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Water Governance Prediction System Based on Fuzzy Logic
https://orcid.org/0000-0002-4870-1047
https://orcid.org/0000-0001-6854-3923
In recent years, water governance has emerged as a critical concern, presenting challenges in predicting and assessing effective governance strategies. This paper introduces the water governance prediction system, based on a fuzzy logic controller (FLC), designed to dynamically evaluate the quality of water governance. Termed the water governance performance (WGP) model, it provides a holistic perspective that includes three key components: the water governance regime (WGR), water governance structure (WGS), and contextual factors. To validate the efficacy of the model, a case study was conducted in the Zayandeh-Rud basin in Iran, covering the period from 2006 to 2019. The model’s comprehensive approach and complexity equip water managers with valuable insights for decision-making. The study confirms the model’s efficiency in delivering accurate predictions based on effective data and indicators, highlighting its practical value in water governance assessments.
This study evaluates water governance in the Zayandeh-Rud basin, highlighting critical issues and recommending strategies for sustainable management. A polycentric water governance regime needs equilibrium in structure and context. Centralized control caused parallel activities in the sub-basins. Effectiveness, efficiency, and trust are vital to polycentric water governance. Water governance performance has a two-way relationship with the basin’s context. Context offers a platform for optimal water governance.
Water Governance Prediction System Based on Fuzzy Logic
https://orcid.org/0000-0002-4870-1047
https://orcid.org/0000-0001-6854-3923
In recent years, water governance has emerged as a critical concern, presenting challenges in predicting and assessing effective governance strategies. This paper introduces the water governance prediction system, based on a fuzzy logic controller (FLC), designed to dynamically evaluate the quality of water governance. Termed the water governance performance (WGP) model, it provides a holistic perspective that includes three key components: the water governance regime (WGR), water governance structure (WGS), and contextual factors. To validate the efficacy of the model, a case study was conducted in the Zayandeh-Rud basin in Iran, covering the period from 2006 to 2019. The model’s comprehensive approach and complexity equip water managers with valuable insights for decision-making. The study confirms the model’s efficiency in delivering accurate predictions based on effective data and indicators, highlighting its practical value in water governance assessments.
This study evaluates water governance in the Zayandeh-Rud basin, highlighting critical issues and recommending strategies for sustainable management. A polycentric water governance regime needs equilibrium in structure and context. Centralized control caused parallel activities in the sub-basins. Effectiveness, efficiency, and trust are vital to polycentric water governance. Water governance performance has a two-way relationship with the basin’s context. Context offers a platform for optimal water governance.
Water Governance Prediction System Based on Fuzzy Logic
https://orcid.org/0000-0002-4870-1047
https://orcid.org/0000-0001-6854-3923
In recent years, water governance has emerged as a critical concern, presenting challenges in predicting and assessing effective governance strategies. This paper introduces the water governance prediction system, based on a fuzzy logic controller (FLC), designed to dynamically evaluate the quality of water governance. Termed the water governance performance (WGP) model, it provides a holistic perspective that includes three key components: the water governance regime (WGR), water governance structure (WGS), and contextual factors. To validate the efficacy of the model, a case study was conducted in the Zayandeh-Rud basin in Iran, covering the period from 2006 to 2019. The model’s comprehensive approach and complexity equip water managers with valuable insights for decision-making. The study confirms the model’s efficiency in delivering accurate predictions based on effective data and indicators, highlighting its practical value in water governance assessments.
This study evaluates water governance in the Zayandeh-Rud basin, highlighting critical issues and recommending strategies for sustainable management. A polycentric water governance regime needs equilibrium in structure and context. Centralized control caused parallel activities in the sub-basins. Effectiveness, efficiency, and trust are vital to polycentric water governance. Water governance performance has a two-way relationship with the basin’s context. Context offers a platform for optimal water governance.
Water Governance Prediction System Based on Fuzzy Logic
Nabiafjadi, Samira (Autor:in) / Sharifzadeh, Maryam (Autor:in) / Ahmadvand, Mostafa (Autor:in) / Shabanali Fami, Hossein (Autor:in) / Ziaee, Sima (Autor:in)
ACS ES&T Water ; 5 ; 1086-1098
14.03.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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