A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana

Kotir, Julius H.; Smith, C. S.; Brown, Greg; Marshall, Nadine; Johnstone, Ron

doi:10.1016/j.scitotenv.2016.08.081

Cited by 200 publications

(109 citation statements)

References 46 publications

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“…Kotir et al . () developed an SD simulation model for sustainable water resources management in the Volta River Basin, Ghana. In addition to the business as usual scenario, three different scenarios including development of water infrastructure , cropland expansion and dry conditions were proposed in the policy analysis stage.…”

Section: Steps Of the Modelling Processmentioning

confidence: 99%

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

2018

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System dynamics (SD) approach is a framework for reproducing the behaviour of the real systems. This approach has demonstrated a proven capability in modelling the dynamic interactions among the factors affecting the behaviour of complex systems and therefore can be used by researchers and policymakers as a useful decision tool. Recently, many researchers have devoted significant efforts in adopting the SD modelling technique in water sector, where complex interactions and feedback loops govern the behaviour of the system. This paper presents a comprehensive literature review of scholarly papers in the water sector on the development of the SD models followed by discussion on different steps of the modelling process. A discussion of each step is accompanied by the water sector examples, exemplified in the existing literature. The paper also discusses the advantages and disadvantages of using system dynamics in the water sector and provides directions for future research in this field. © 2018 John Wiley & Sons, Ltd.

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Section: Steps Of the Modelling Processmentioning

confidence: 99%

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

2018

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“…It can simulate the changes of various variables; calculate the time when PM 10 and PM 2.5 concentrations reach the standard; facilitate macro prediction and analysis; and improve the research efficiency [31]. It is an ideal "laboratory" for complex systems [32,33].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Impact of Urban Forest Scale on PM2.5 and PM10 based on System Dynamics

Zhou¹,

Liu²,

Xia³

2019

Sustainability

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In the context of ecological civil construction in China, afforestation is highly valued. Planting trees can improve air quality in China's large cities. However, there is a lack of scientific analysis quantifying the impact urban forest scale has on the air quality, and what scale is advisable. The problem still exists of subjective decision-making in afforestation. Similar studies have rarely analyzed the long-term effect research of urban forests on air improvement. Using as an example, the city of Wuhan, this paper identifies the regularity between particulate matter concentration and adsorption of sample leaves, and establishes a system dynamics model of "economy, energy and atmospheric environment.” By combining this regularity with the model, the long-term impact of forest scale on particulate matter and atmospheric environment was simulated. The results show that if the forest coverage rate reaches at least 30%, the annual average concentrations of inhalable particulate matter (PM10) and fine particulate matter (PM2.5) can both reach the Grade I limit of national Ambient Air Quality Standard by 2050. The current forest cover is 22.9% of the administrative area. Increasing the forest cover by 600 km2 would increase this percentage to 30% of the total area. In the long run (by the year 2050), however, we showed that this increase would only reduce the annual concentration of PM2.5 and PM10 by 1–2%. Therefore, about 90% of the concentration reduction would still rely on the traditional emission reduction measures. More other ecological functions of forests should be considered in afforestation plan.

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“…However, some water resources such as lakes and rivers became influenced with social activities such as industrialization and domestic waste and it has affect to the water quality. Therefore, Kotir et al (2016) argue that water resources management should consider multi-discipline approach including dynamics issues, feedback processes, social-economic, population, policy, and biophysical processes. These processes could be simulate through system dynamics model which consider interaction between social-economic sub-system, population sub-system, and biophysical subsystem.…”

Section: Introductionmentioning

confidence: 99%

System Dynamic Model for Lake’s Water Flow: A Case Of Situ Binong, Cikarang, West Java, Indonesia

Aprianto¹

2018

jal

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This study aims to develop a dynamic system model that describes the relationship ofwater, socio-economic, and water resources (lake size) sub-systems in Situ Binong. In addition,this study also aims to make predictions of water resources conditions (lake size) Situ Binong forthe next 5 years. The model is prepared using a dynamic system approach. The Situ Binong waterflow model is available water resources consisting of 3 sub-systems namely natural water flowsub-systems, socio-economic, and water resources Situ Binong. The result of the research showsthat the requirement of Situ Binong water resources every year is increasing so that the volume ofSitu Binong is decreasing. In addition, the volume of water resources Situ Binong influenced bysupply and demand. Supply comes from domestic waste and natural water flow such asprecipitation, infiltration and surface flow. While demand comes from WTP intake, irrigation, andevaporation.

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A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana

Cited by 200 publications

References 46 publications

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

Simulation of the Impact of Urban Forest Scale on PM2.5 and PM10 based on System Dynamics

System Dynamic Model for Lake’s Water Flow: A Case Of Situ Binong, Cikarang, West Java, Indonesia

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