Assessing the Impacts of Climate Change on Water Resources Carrying Capacity Using Venism
Keywords:climate change, vensim, water carrying capacity, research review
Purpose: Climate modification and population increase are threatening water supplies. The world's population have tripled ever since the turn of the century, nonrenewable energy demand has climbed by a ratio of 30, while occupational production had also risen by a ratio of 50.
Theoretical Framework: Problem sizing and structure, model conceptualization, model implementation and testing, and scenarios analysis are the four phases of a conventional SD modeling framework.
Methods: This indicates that as a result of occupational, agricultural, and urban usage, there is a rising demand for water and a diminishing supply of resources of sufficient quality. Due to the effects of climate change, unkind ocean smooth rose by 0.19 m among 1901 and 2010. Anthropogenic climate change is known to have impacted the incidence and magnitude of flooding. Globally, the recent identification of growing vogues in precipitation and large flows in specific basins suggests a larger impact.
Results: This research article takes stock of the evaluation of the influences of climate change on water transport capacity, in particular using the Vensim model. In this research review, for the analysis or estimate of the impacts of climate change on the water transport capacity, Vensim was investigated using a system dynamics technique to simulate the basin slopes of the supply systems to study climatic effects.
Conclusions: It was concluded that the combination of different adaptation strategies, such as desalination, the construction of dams and the promotion of water conservation, has the greatest effects in reducing the impacts of climate change.
Karamouz, M., Hosseinpour, A., & Nazif, S. (2011). Recoverment of urban drainage system performance under climate change impact: Case study. Journal of Hydrologic Engineering, 16(5), 395-412.
Komarova, I., Bondarenko, N., & Baibikova , K. (2023). Carbon landfills as a new step towards achieving carbon neutrality of russian regions in the context of esg transformation. Journal of Law and Sustainable Development, 11(1), e0275. https://doi.org/10.37497/sdgs.v11i1.275
Solley, W. B. (1993). Water-use vogues and distribution in the United States, 1950-85. Hortscience, 28(4), 283.
Xiao-jun, W., Jian-yun, Z., Shamsuddin, S., Rui-min, H., Xing-hui, X., & Xin-li, M. (2015). Potential impact of climate change on future water demand in Yulin city, Northwest China. Mitigation and Adaptation Strategies for Global Change, 20, 1-19.
Dugan, J. E., Hubbard, D. M., & Wenner, A. M. (1994). Geographic variation in life history of the sand crab, Emerita analoga (Stimpson) on the California coast: relationships to environmental variables. Journal of Experimental Marine Biology and Ecology, 181(2), 255-278.
Rosenberg, N. J., Epstein, D. J., Wang, D., Vail, L., Srinivasan, R., & Arnold, J. G. (1999). Possible impacts of global warming on the hydrology of the Ogallala aquifer region. Climatic change, 42(4), 677-692.
Peterson, D. F., & Keller, A. A. (1990). Effects of climate change on US irrigation. Journal of irrigation and Drainage Engineering, 116(2), 194-210.
Paul, H. I. S., & Sundaram, N. (2023). Behavioral Biases and their Influence on Investment Decision-Making: A Systematic Literature Review and Future Research Agenda. Journal of Law and Sustainable Development, 11(4), e904. https://doi.org/10.55908/sdgs.v11i4.904
Evaluation, U. G. M. (2019). UN Environment. Chemicals and Health Branch: Geneva, Switzerland.
Oki, T., & Kanae, S. (2006). Global hydrological cycles and world water resources. science, 313(5790), 1068-1072.
Ervinia, A., Huang, J., Huang, Y., & Lin, J. (2019). Coupled effects of climate variability and land use pattern on surface water quality: An elasticity perspective and watershed health indicators. Science of The Total Environment, 693, 133592.
Change, I. P. O. C. (2014). Ipcc. Climate change.
Change, I. P. O. C. (2021). Ipcc. Climate change.
Qin, D., Chen, Z., Averyt, K. B., Miller, H. L., Solomon, S., Manning, M., ... & Tignor, M. (2007). Ipcc, 2007: Summary for policymakers.
Trenberth, K. E., Jones, P. D., Ambenje, P., Bojariu, R., Easterling, D., Klein Tank, A., ... & Zhai, P. (2007). Observations. Surface and atmospheric climate change. Chapter 3.
López-Moreno, J. I., Zabalza, J., Vicente-Serrano, S. M., Revuelto, J., Gilaberte, M., Azorin-Molina, C., ... & Tague, C. (2014). Impact of climate and land use change on water availability and reservoir management: Scenarios in the Upper Aragón River, Spanish Pyrenees. Science of the total environment, 493, 1222-1231.
McClatchie, S., Charter, R., Watson, W., Lo, N., Hill, K., Manzano-Sarabia, M., ... & Hildebrand, J. (2009). State of the California Current, Spring 2008-2009: cold situations drive regional differences in coastal production.
Caballero, Y., Voirin‐Morel, S., Habets, F., Noilhan, J., LeMoigne, P., Lehenaff, A., & Boone, A. (2007). Hydrological sensitivity of the Adour‐Garonne river basin to climate change. Water Resources Research, 43(7).
Wang, M., Zhang, D. Q., Dong, J. W., & Tan, S. K. (2017). Constructed wetlands for wastewater treatment in cold climate—A review. Journal of Environmental Sciences, 57, 293-311.
Niu, S., Xing, X., Zhang, Z. H. E., Xia, J., Zhou, X., Song, B., ... & Wan, S. (2011). Water‐use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe. Global Change Biology, 17(2), 1073-1082.
Luo, M., Liu, T., Meng, F., Duan, Y., Bao, A., Xing, W., ... & Frankl, A. (2019). Identifying climate change impacts on water resources in Xinjiang, China. Science of the Total Environment, 676, 613-626.
Motohashi, Y., Nishi, S. (1991). Prediction of end-stage renal disease patient population in Japan by system dynamics model. International Journal of Epidemiology, 20, 1032-1036.
Ventana Systems. (2007). Vensim, Ventana simulation environment. User’s guide.
Roberts, N., Anderson, D., Deal, R., Garet, M., & Shaffer, W. (1997). Introduction to Computer Simulation—A System Dynamics Modeling Approach. Journal of the Operational Research Society, 48(11), 1145-1145.
Carbonell, G., Ramos, C., Pablos, M. V., Ortiz, J. A., & Tarazona, J. V. (2000). A system dynamic model for the evaluation of different exposure routes in aquatic ecosystems. Science of the total environment, 247(2-3), 107-118.
Yang, J., Lei, K., Khu, S., & Meng, W. (2015). Evaluation of water resources carrying capacity for sustainable growth based on a system dynamics model: a case study of Tieling City, China. Water Resources Management, 29, 885-899.
Phan, T. D., Bertone, E., & Stewart, R. A. (2021). Critical review of system dynamics modelling applications for water resources planning and management. Cleaner Environmental Systems, 2, 100031.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors who publish in this journal agree to the following terms: the author(s) authorize(s) the publication of the text in the journal;
2. The author(s) ensure(s) that the contribution is original and unpublished and that it is not in the process of evaluation by another journal;
3. The journal is not responsible for the views, ideas and concepts presented in articles, and these are the sole responsibility of the author(s);
4. The publishers reserve the right to make textual adjustments and adapt texts to meet with publication standards.
5. Authors retain copyright and grant the journal the right to first publication, with the work simultaneously licensed under the Creative Commons Atribuição NãoComercial 4.0 internacional, which allows the work to be shared with recognized authorship and initial publication in this journal.
6. Authors are allowed to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (e.g. publish in institutional repository or as a book chapter), with recognition of authorship and initial publication in this journal.
7. Authors are allowed and are encouraged to publish and distribute their work online (e.g. in institutional repositories or on a personal web page) at any point before or during the editorial process, as this can generate positive effects, as well as increase the impact and citations of the published work (see the effect of Free Access) at http://opcit.eprints.org/oacitation-biblio.html
• 8. Authors are able to use ORCID is a system of identification for authors. An ORCID identifier is unique to an individual and acts as a persistent digital identifier to ensure that authors (particularly those with relatively common names) can be distinguished and their work properly attributed.