Developing a sustainability assessment framework for integrated management of water resources systems using distributed zoning and system dynamics approaches

2021 ◽  
Author(s):  
Mehri Abdi-Dehkordi ◽  
Omid Bozorg-Haddad ◽  
Abdolrahim Salavitabar ◽  
Erfan Goharian
Keyword(s):  
Water Resources ◽  
System Dynamics ◽  
Sustainability Assessment ◽  
Integrated Management ◽  
Assessment Framework ◽  
Water Resources Systems

scholarly journals Sustainability assessment of restoration plans under climate change by using system dynamics: application on Urmia Lake, Iran

2018 ◽  
Vol 10 (4) ◽  
pp. 938-952 ◽  
Author(s):  
Elham Ebrahimi Sarindizaj ◽  
Mahdi Zarghami
Keyword(s):  
Climate Change ◽  
System Dynamics ◽  
Management Practices ◽  
Sustainability Assessment ◽  
Ecological Status ◽  
Urmia Lake ◽  
Water Resources Systems ◽  
Proposed Model ◽  
Average Water ◽  
Basin Water

Abstract During the last decade, Urmia Lake has lost most of its surface area. As a result, finding management practices to restore the sustainable ecological status of Urmia Lake, the world's second largest hyper-saline lake, is imperative. In this study, the sustainability of different plans under climate change was assessed using system dynamics. The plans were evaluated with respect to sustainability criteria including reliability, resiliency, and vulnerability measures. According to the results due to different management practices, on average, water consumption should be reduced by at least 30% to restore the lake. The results revealed that only hybrid plans which incorporate multiple management practices, instead of focusing on just one approach, can be influential. Among the hybrid plans, that of increasing irrigation efficiency, reducing cultivated area, changing crop pattern, and inter-basin water transfer was identified as the most sustainable plan. About eight years after applying this plan, the lake will achieve its ecological level and will remain sustainable. Considering comprehensive factors, the proposed model can help watershed managers to take the necessary measures to restore this vital ecosystem. The results of this study can be applied to water resources systems with the same problem, especially those in semi-arid regions with multidisciplinary aspects.

Effects of area and time horizons in comprehensive and integrated water resources management

1995 ◽  
Vol 31 (8) ◽  
pp. 19-25
Author(s):  
Vujica Yevjevich
Keyword(s):  
Water Resources ◽  
Integrated Management ◽  
Supply And Demand ◽  
Integrated Water Resources Management ◽  
Economic Life ◽  
Developmental Phase ◽  
Water Resources Systems ◽  
Comprehensive Management ◽  
Time Horizons ◽  
Surrounding Areas

Four concepts are defined for water resources systems: comprehensive management, integrated management, area horizons and time horizons. Five phases in development of water resources are: initial phase of modest demand (water transferred only in space), intense developmental phase (water transferred in both space and time), water transfer among the adjacent areas, water re-allocation phase, and the phase of developmental maturity. The comprehensive management incorporates the external social, economic, environmental, financial and political influences by specifying the goals to be attained. The concept of water resources supersystem, as a set of dependent systems, is introduced. The integrating management means incorporating a set of purposes as the internal aspects of resource management. They are realized by economic, social, environmental and other optimizations of the well defined objective functions. Objectives are fulfilled by matching supply and demand. Thus a triad of goals-purposes-objectives is defined. Three basic area horizons for a system are: the main system area, the adjacent physically-interacting area, and the surrounding areas interacting through water or power demand. Five time horizons of effects on systems are: period of economic life, period of physical life, horizon of obsolescence, period of full allocation of available water, and period during which significant climatic changes have occurred.

scholarly journals Identifying Capabilities and Potentials of System Dynamics in Hydrology and Water Resources as a Promising Modeling Approach for Water Management

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1432 ◽  
Author(s):  
Ahmed F. Mashaly ◽  
Alexander G. Fernald
Keyword(s):  
Water Management ◽  
Water Resources ◽  
System Dynamics ◽  
Water Resources Management ◽  
Agricultural Water ◽  
Agricultural Water Management ◽  
Factors Affecting ◽  
Resources Management ◽  
Water Resources Systems ◽  
Hydrology And Water Resources

Agriculture is the most important sector with regard to water resources management due to its social, economic, hydrological, and environmental aspects, and many scholars and researchers have been driven to investigate the dynamic interrelationships among hydrological, environmental, and socioeconomic factors affecting agriculture. The system dynamics (SD) approach has become widely used because of its merits and benefits as a tool to deal with complex, dynamic problems and systems with many aspects and components that are involved and must be understood to ensure sound decisions regarding water and hydrological systems. Although agricultural water management needs to be studied as a main part of water management, socioeconomic management, and environmental management requiring the use of SD, this review shows that SD is currently used to a limited extent in terms of agricultural water management. This paper sheds light on the studies and investigations on the use of SD in the water sector and highlights the strengths of SD in order to encourage researchers to use this promising method to manage such a vital resource. Accordingly, this review seeks to include a comprehensive and up-to-date survey of existing publications and scholarly papers on the use of SD modeling as an effective technique for dealing with different problems associated with planning, management, and analysis of hydrology and water resources systems. Recent trends in the integration of SD with other modeling systems, such as artificial intelligence systems, are discussed along with the limitations and challenges facing application. This article makes a new contribution by giving a foundation of references and studies for scholars, researchers, and academics which encourages future investigation in employing the SD approach to hydrology and water resources management and planning, especially with agricultural water.

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