Literature DB >> 27572537

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

Julius H Kotir1, Carl Smith2, Greg Brown3, Nadine Marshall4, Ron Johnstone3.   

Abstract

In a rapidly changing water resources system, dynamic models based on the notion of systems thinking can serve as useful analytical tools for scientists and policy-makers to study changes in key system variables over time. In this paper, an integrated system dynamics simulation model was developed using a system dynamics modelling approach to examine the feedback processes and interaction between the population, the water resource, and the agricultural production sub-sectors of the Volta River Basin in West Africa. The objective of the model is to provide a learning tool for policy-makers to improve their understanding of the long-term dynamic behaviour of the basin, and as a decision support tool for exploring plausible policy scenarios necessary for sustainable water resource management and agricultural development. Structural and behavioural pattern tests, and statistical test were used to evaluate and validate the performance of the model. The results showed that the simulated outputs agreed well with the observed reality of the system. A sensitivity analysis also indicated that the model is reliable and robust to uncertainties in the major parameters. Results of the business as usual scenario showed that total population, agricultural, domestic, and industrial water demands will continue to increase over the simulated period. Besides business as usual, three additional policy scenarios were simulated to assess their impact on water demands, crop yield, and net-farm income. These were the development of the water infrastructure (scenario 1), cropland expansion (scenario 2) and dry conditions (scenario 3). The results showed that scenario 1 would provide the maximum benefit to people living in the basin. Overall, the model results could help inform planning and investment decisions within the basin to enhance food security, livelihoods development, socio-economic growth, and sustainable management of natural resources. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agricultural production; Feedback loops; River basin; Scenarios analysis; System dynamics modelling; Systems thinking

Year:  2016        PMID: 27572537     DOI: 10.1016/j.scitotenv.2016.08.081

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

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Authors:  Emily E Haroz; Shoshanna L Fine; Catherine Lee; Qi Wang; Muhammed Hudhud; Takuru Igusa
Journal:  Asian Am J Psychol       Date:  2021-09

2.  Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China.

Authors:  Chao Bao; Dongmei He
Journal:  Int J Environ Res Public Health       Date:  2019-10-11       Impact factor: 3.390

3.  Public health interventions for chronic diseases: cost-benefit modelizations for eradicating chronic kidney disease of multifactorial origin (CKDmfo/ CKDu) from tropical countries.

Authors:  Sunil J Wimalawansa
Journal:  Heliyon       Date:  2019-11-01
  3 in total

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